# Data release notes
{% hint style="info" %}
Data hosted by IDC is ingested from several sources, including [The Cancer Imaging Archive (TCIA)](https://www.cancerimagingarchive.net/), [Genomics Data Commons (GDC)](https://gdc.cancer.gov/), [Clinical Proteomic Tumor Analysis Consortium (CPTAC)](https://gdc.cancer.gov/about-gdc/contributed-genomic-data-cancer-research/clinical-proteomic-tumor-analysis-consortium-cptac) and [Human Tumor Atlas Network (HTAN)](https://humantumoratlas.org/).
Please refer to the license and terms of use, which are defined in the `license_url` and `source_doi` or `source_url` of the IDC BigQuery [`dicom_all` table](https://console.cloud.google.com/bigquery?p=bigquery-public-data\&d=idc_current\&t=dicom_all\&page=table). You can filter the data by license type in the [IDC Portal](https://imaging.datacommons.cancer.gov/), or programmatically, as demonstrated in [this tutorial](https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/getting_started/part2_searching_basics.ipynb).
{% endhint %}
## IDC releases summary view
## V23 - Nov 2025
{% hint style="info" %}
There are two rows, not one, for every instance in the *DICOM converted Slide Microscopy images for the TCGA-BRCA* collection in the `dicom_all` and `auxiliary_metadata` BigQuery tables in the `bigquery-public-data.idc_current` and `bigquery-public-data.idc_v23` datasets. The collection's DOI is `doi.org/10.5281/zenodo.12689962` .
The rows in each pair are identical except that one row has the `Creative Commons Attribution 3.0 Unported License` (`CC BY 3.0`) and the other row the `Creative Commons Attribution 4.0 International License` (`CC BY 4.0`). The correct license for this collection is `CC BY 3.0`. The rows having the `CC BY 4.0` license can be ignored.
This error will be corrected in the next IDC release.
{% endhint %}
{% hint style="success" %}
Release counts
Files: 46,870,903 (+175,736)
Series: 994,073 (+28,666)
Studies: 160,199 (+606)
Cases: 79,889 (+355)
Collections: 161 (no change)
Analysis results collections: 23 (+6)
Disk size: 95.33 TB (+2.22 TB)
{% endhint %}
#### New radiology collections
#### New pathology collections
#### New analysis results
1. [Lung-PET-CT-Dx-Annotations](https://doi.org/10.5281/zenodo.16989819)\
Collections analyzed:
1. Lung-PET-CT-Dx
2. [NLST-Sybil](https://doi.org/10.5281/zenodo.15643334)\
Collections analyzed:
1. NLST
3. [NLSTSeg](https://doi.org/10.5281/zenodo.17362624)\
Collections analyzed
1. NLST
4. [PROSTATEx-Targets](https://doi.org/10.5281/zenodo.15643312)\
Collections analyzed:
1. ProstateX
5. [TCGA-GBM360](https://doi.org/10.5281/zenodo.17470190)\
Collections analyzed:
1. TCGA-GBM
6. [TCGA-SBU-TIL-Maps](https://doi.org/10.5281/zenodo.16966285)\
Collections analyzed:
1. [TCGA-ACC](htpps://doi.org/10.5281/zenodo.12690035)
2. [TCGA-BLCA](https://doi.org/10.5281/zenodo.12690045)
3. [TCGA-BRCA](https://doi.org/10.5281/zenodo.12689962)
4. [TCGA-CESC](https://doi.org/10.5281/zenodo.12689956)
5. [TCGA-COAD](https://doi.org/10.5281/zenodo.12689970)
6. [TCGA-ESCA](https://doi.org/10.5281/zenodo.12690012)
7. [TCGA-HNSC](https://doi.org/10.5281/zenodo.12690033)
8. [TCGA-KIRC](https://doi.org/10.5281/zenodo.12689952)
9. [TCGA-LUAD](https://doi.org/10.5281/zenodo.12689915)
10. [TCGA-LUSC](https://doi.org/10.5281/zenodo.12690008)
11. [TCGA-MESO](https://doi.org/10.5281/zenodo.12689966)
12. [TCGA-OV](https://doi.org/10.5281/zenodo.12689954)
13. [TCGA-PAAD](https://doi.org/10.5281/zenodo.12689972)
14. [TCGA-PRAD](https://doi.org/10.5281/zenodo.12689935)
15. [TCGA-READ](https://doi.org/10.5281/zenodo.12689998)
16. [TCGA-SARC](https://doi.org/10.5281/zenodo.12689917)
17. [TCGA-SKCM](https://doi.org/10.5281/zenodo.12690039)
18. [TCGA-STAD](https://doi.org/10.5281/zenodo.12690037)
19. [TCGA-TGCT](https://doi.org/10.5281/zenodo.12689995)
20. [TCGA-THYM](https://doi.org/10.5281/zenodo.12689913)
21. [TCGA-UCEC](https://doi.org/10.5281/zenodo.12689968)
22. [TCGA-UVM](https://doi.org/10.5281/zenodo.12690041)
#### Revised radiology collections
1. [CMB-BRCA](https://www.cancerimagingarchive.net/collection/cmb-brca/)
2. [CMB-CRC](https://www.cancerimagingarchive.net/collection/cmb-crc/)
3. [CMB-LCA](https://www.cancerimagingarchive.net/collection/cmb-lca/)
4. [CMB-MEL](https://www.cancerimagingarchive.net/collection/cmb-mel/)
5. [CMB-MML](https://www.cancerimagingarchive.net/collection/cmb-mml/)
6. [CMB-OV](https://www.cancerimagingarchive.net/collection/cmb-ov/)
7. [CMB-PCA](https://doi.org/10.5281/zenodo.13993798)
8. [VAREPOP-APOLLO](https://www.cancerimagingarchive.net/collection/varepop-apollo/)
9. [CPTAC-CCRCC](https://www.cancerimagingarchive.net/collection/cptac-ccrcc/)
10. [CPTAC-LUAD](https://www.cancerimagingarchive.net/collection/cptac-luad/)
11. [VAREPOP-APOLLO](https://www.cancerimagingarchive.net/collection/varepop-apollo/)
#### Revised pathology collections
1. [BoneMarrowWSI-PediatricLeukemia](https://doi.org/10.5281/zenodo.14933087)
2. [CCDI-MCI](https://doi.org/10.5281/zenodo.11099086)
3. [TCGA-BRCA](https://doi.org/10.5281/zenodo.17486654)
#### Revised analysis results
#### New clinical metadata tables
#### Revised clinical metadata tables
1. varepop\_apollo\_clinical
## V22 - Sept 2025
{% hint style="success" %}
Release counts
Files: 46,695,167 (+910,713)
Series: 965,407 (+14,519)
Studies: 159,593 (+10,016)
Cases: 79,214 (+8,132)
Collections: 161 (+11)
Analysis results collections: 17 (no change)
Disk size: 93.11 TB (+5.62 TB)
{% endhint %}
#### New radiology collections
1. [CBIS-DDSM](https://www.cancerimagingarchive.net/collection/cbis-ddsm/)
2. [CC-Radiomics-Phantom](https://www.cancerimagingarchive.net/collection/cc-radiomics-phantom/)
3. [CC-Radiomics-Phantom-2](https://www.cancerimagingarchive.net/collection/cc-radiomics-phantom-2/)
4. [CC-Radiomics-Phantom-3](https://www.cancerimagingarchive.net/collection/cc-radiomics-phantom-3/)
5. [CT4Harmonization-Multicentric](https://www.cancerimagingarchive.net/collection/ct4harmonization-multicentric/)
6. [QIBA-CT-Liver-Phantom](https://www.cancerimagingarchive.net/collection/qiba-ct-liver-phantom/)
7. [QIN-BREAST-02](https://www.cancerimagingarchive.net/collection/qin-breast-02/)
8. [QIN PET Phantom](https://www.cancerimagingarchive.net/collection/qin-pet-phantom/)
9. [RIDER PHANTOM MRI](https://www.cancerimagingarchive.net/collection/rider-phantom-mri/)
10. [RIDER PHANTOM PET-CT](https://www.cancerimagingarchive.net/collection/rider-phantom-pet-ct/)
#### New pathology collections
1. [BoneMarrowWSI-PediatricLeukemia](https://doi.org/10.5281/zenodo.14933087)
#### Revised radiology collections
1. [CMB-AML](https://www.cancerimagingarchive.net/collection/cmb-aml/)
2. [CMB-BRCA](https://www.cancerimagingarchive.net/collection/cmb-brca/)
3. [CMB-CRC](https://www.cancerimagingarchive.net/collection/cmb-crc/)
4. [CMB-GEC](https://www.cancerimagingarchive.net/collection/cmb-gec/)
5. [CMB-LCA](https://www.cancerimagingarchive.net/collection/cmb-lca/)
6. [CMB-MEL](https://www.cancerimagingarchive.net/collection/cmb-mel/)
7. [CMB-MML](https://www.cancerimagingarchive.net/collection/cmb-mml/)
8. [CMB-OV](https://www.cancerimagingarchive.net/collection/cmb-ov/)
9. [CMB-PCA](https://www.cancerimagingarchive.net/collection/cmb-pca/)
10. [CPTAC-CCRCC](https://www.cancerimagingarchive.net/collection/cptac-ccrcc/)
11. [CPTAC-LUAD](https://www.cancerimagingarchive.net/collection/cptac-luad/)
12. [VAREPOP-APOLLO](https://www.cancerimagingarchive.net/collection/varepop-apollo/)
#### Revised pathology collections
1. [CCDI-MCI](https://doi.org/10.5281/zenodo.11099086)
2. [CMB-AML](https://doi.org/10.5281/zenodo.13993759)
3. [CMB-BRCA](https://doi.org/10.5281/zenodo.13993761)
4. [CMB-CRC](https://doi.org/10.5281/zenodo.13993769)
5. [CMB-GEC](https://doi.org/10.5281/zenodo.13993773)
6. [CMB-LCA](https://doi.org/10.5281/zenodo.13993776)
7. [CMB-MEL](https://doi.org/10.5281/zenodo.13993787)
8. [CMB-MML](https://doi.org/10.5281/zenodo.13993792)
9. [CMB-OV](https://doi.org/10.5281/zenodo.13993796)
10. [CMB-PCA](https://doi.org/10.5281/zenodo.13993798)
11. [NLST](https://testing-portal.canceridc.dev/collections/)
#### New clinical metadata tables
1. bonemarrowwsi\_pediatricleukemia\_clinical
2. cbis\_ddsm\_calc\_case\_description\_test\_set
3. cbis\_ddsm\_calc\_case\_description\_train\_set
4. cbis\_ddsm\_mass\_case\_description\_test\_set
5. cbis\_ddsm\_mass\_case\_description\_train\_set
6. cc\_radiomics\_phantom\_3\_chest\_settings
7. cc\_radiomics\_phantom\_3\_head\_settings
8. cc\_radiomics\_phantom\_3\_manufacturer
#### Revised clinical metadata tables
1. varepop\_apollo\_clinical
## V21 - May 2025
{% hint style="success" %}
#### Release counts
Files: 45,784,454 (+174,244)
Series: 950,888 (+3,308)
Studies: 149,577 (+2,070)
Cases: 71,082 (+1,893)
Collections: 150 (+1)
Analysis results collections: 17 (no change)
Disk size: 87.49 TB (+1.94 TB)
{% endhint %}
#### New radiology collections
1. [CMB-BRCA](https://www.cancerimagingarchive.net/collection/cmb-brca/)
2. [VAREPOP-APOLLO](https://www.cancerimagingarchive.net/collection/varepop-apollo/)
#### Revised radiology collections
1. [CMB-LCA](https://www.cancerimagingarchive.net/collection/cmb-lca/)
2. [CMB-MEL](https://www.cancerimagingarchive.net/collection/cmb-mel/)
3. [CMB-MML](https://www.cancerimagingarchive.net/collection/cmb-mml/)
4. [CMB-PCA](https://www.cancerimagingarchive.net/collection/cmb-pca/)
5. [CPTAC-CCRCC](https://www.cancerimagingarchive.net/collection/cptac-ccrcc/)
6. [CPTAC-AML](https://www.cancerimagingarchive.net/collection/cptac-aml/)
7. [CPTAC-PDA](https://www.cancerimagingarchive.net/collection/cptac-pda/)
#### Revised pathology collections
1. [CCDI-MCI](https://doi.org/10.5281/zenodo.11099086)
#### Revised analysis results
1. [RMS-Mutation-Prediction-Expert-Annotations](https://doi.org/10.5281/zenodo.10462857)
#### New clinical metadata tables
1. bamf\_aimi\_annotations\_brain\_mr\_qa\_results
2. bamf\_aimi\_annotations\_breast\_fdg\_pet\_ct\_qa\_results
3. bamf\_aimi\_annotations\_breast\_mr\_qa\_results
4. bamf\_aimi\_annotations\_kidney\_ct\_qa\_results
5. bamf\_aimi\_annotations\_liver2\_ct\_qa\_results
6. bamf\_aimi\_annotations\_liver\_ct\_qa\_results
7. bamf\_aimi\_annotations\_liver\_mr\_qa\_results
8. bamf\_aimi\_annotations\_lung2\_ct\_qa\_results
9. bamf\_aimi\_annotations\_lung\_ct\_qa\_results
10. bamf\_aimi\_annotations\_lung\_fdg\_pet\_ct\_qa\_results
11. bamf\_aimi\_annotations\_prostate\_mr\_qa\_results
12. cptac\_aml\_demographic\_classification
13. varepop\_apollo\_clinical
#### Renamed clinical metadata tables
1. nlst\_canc
1. Previously nlst\_clinical
#### Retired clinical metadata tables
1. acrin\_nsclc\_fdg\_pet\_bamf\_lung\_pet\_ct\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_lung\_fdg\_pet\_ct\_qa\_results
2. anti\_pd\_1\_lung\_bamf\_lung\_ct\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_lung\_ct\_qa\_results
3. anti\_pd\_1\_lung\_bamf\_lung\_fdg\_pet\_ct\_segmenation
1. Subsumed by bamf\_aimi\_annotations\_lung\_fdg\_pet\_ct\_qa\_results
4. lung\_pet\_ct\_dx\_bamf\_lung\_ct\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_lung\_ct\_qa\_results
5. lung\_pet\_ct\_dx\_bamf\_lung\_fdg\_pet\_ct\_segmenation
1. Subsumed by bamf\_aimi\_annotations\_lung\_fdg\_pet\_ct\_qa\_results
6. nsclc\_radiogenomics\_bamf\_lung\_ct\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_lung\_ct\_qa\_results
7. nsclc\_radiogenomics\_bamf\_lung\_fdg\_pet\_ct\_segmenation
1. Subsumed by bamf\_aimi\_annotations\_lung\_fdg\_pet\_ct\_qa\_results
8. prostatex\_bamf\_segmentations
1. Subsumed by bamf\_aimi\_annotations\_prostate\_mr\_qa\_results
9. qin\_breast\_bamf\_breast\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_breast\_fdg\_pet\_ct\_qa\_results
10. rider\_lung\_pet\_ct\_bamf\_lung\_ct\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_lung\_ct\_qa\_results
11. rider\_lung\_pet\_ct\_bamf\_lung\_fdg\_pet\_ct\_segmenation
1. Subsumed by bamf\_aimi\_annotations\_lung\_fdg\_pet\_ct\_qa\_results
12. tcga\_kirc\_bamf\_kidney\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_kidney\_ct\_qa\_results
13. tcga\_lihc\_bamf\_liver\_ct\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_liver\_ct\_qa\_results
14. tcga\_lihc\_bamf\_liver\_mr\_segmentation
1. Subsumed by amf\_aimi\_annotations\_liver\_mr\_qa\_results
15. tcga\_luad\_bamf\_lung\_ct\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_lung\_ct\_qa\_results
16. tcga\_luad\_bamf\_lung\_mr\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_lung\_fdg\_pet\_ct\_qa\_results
17. tcga\_lusc\_lung\_ct\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_lung\_ct\_qa\_results
18. tcga\_lusc\_lung\_mr\_segmentation
1. Subsumed by bamf\_aimi\_annotations\_lung\_fdg\_pet\_ct\_qa\_results
## V20 - November 2024
#### New radiology collections
1. [Mediastinal-Lymph-Node-SEG](https://www.cancerimagingarchive.net/collection/mediastinal-lymph-node-seg/)
2. [Spine-Mets-CT-SEG](https://doi.org/10.7937/kh36-ds04)
#### New pathology collections
1. [CMB-BRCA](https://doi.org/10.5281/zenodo.13993761)
2. [CMB-OV](https://doi.org/10.5281/zenodo.13993796)
#### Revised radiology collections
1. [CMB-AML](https://www.cancerimagingarchive.net/collection/cmb-aml/)
2. [CMB-CRC](https://www.cancerimagingarchive.net/collection/cmb-crc/)
3. [CMB-GEC](https://www.cancerimagingarchive.net/collection/cmb-gec/)
4. [CMB-LCA](https://www.cancerimagingarchive.net/collection/cmb-lca/)
5. [CMB-MEL](https://www.cancerimagingarchive.net/collection/cmb-mel/)
6. [CMB-MML](https://www.cancerimagingarchive.net/collection/cmb-mml/)
7. [CMB-PCA](https://www.cancerimagingarchive.net/collection/cmb-ov/)
#### Revised pathology collections
1. [CCDI-MCI](https://doi.org/10.5281/zenodo.11099086)
2. [CMB-AML](https://doi.org/10.5281/zenodo.13993759)
3. [CMB-CRC](https://doi.org/10.5281/zenodo.13993769)
4. [CMB-GEC](https://doi.org/10.5281/zenodo.13993773)
5. [CMB-LCA](https://doi.org/10.5281/zenodo.13993776)
6. [CMB-MEL](https://doi.org/10.5281/zenodo.13993787)
7. [CMB-MML](https://doi.org/10.5281/zenodo.13993792)
8. [CMB-PCA](https://doi.org/10.5281/zenodo.13993798)
#### Revised analysis results
1. [BAMF-AIMI-Annotations ](https://doi.org/10.5281/zenodo.8345959)\
Collections analyzed:
1. [UPENN-GBM](https://doi.org/10.5281/zenodo.8345959)
2. [Pan-Cancer-Nuclei-Seg-DICOM ](https://doi.org/10.5281/zenodo.11099004)\
Collections analyzed:
1. [TCGA-BLCA](https://doi.org/10.5281/zenodo.12690045)
2. [TCGA-BRCA](https://doi.org/10.5281/zenodo.12689962)
3. [TCGA-CESC](https://doi.org/10.5281/zenodo.12689956)
4. [TCGA-COAD](https://doi.org/10.5281/zenodo.12689970)
5. [ TCGA-GBM](https://doi.org/10.5281/zenodo.12690010)
6. [TCGA-LUAD](https://doi.org/10.5281/zenodo.12689915)
7. [TCGA-LUSC](https://doi.org/10.5281/zenodo.12690008)
8. [TCGA-PAAD](https://doi.org/10.5281/zenodo.12689972)
9. [TCGA-PRAD](https://doi.org/10.5281/zenodo.12689935)
10. [TCGA-READ](https://doi.org/10.5281/zenodo.12689998)
11. [TCGA-SKCM](https://doi.org/10.5281/zenodo.12690039)
12. [TCGA-STAD](https://doi.org/10.5281/zenodo.12690037)
13. [TCGA-UCEC](https://doi.org/10.5281/zenodo.12689968)
14. [TCGA-UVM](https://doi.org/10.5281/zenodo.12690041)
\
The segmentation of an instance in each of the following series was excluded due to having a DICOM PixelData size greater than or equal to 2GB:
1. 1.2.826.0.1.3680043.10.511.3.10544506665348704312902213950958190
2. 1.2.826.0.1.3680043.10.511.3.11183783347037364699862133130586654
3. 1.2.826.0.1.3680043.10.511.3.11834745481756047014039855874680259
4. 1.2.826.0.1.3680043.10.511.3.11901667084519361717338400810055642
5. 1.2.826.0.1.3680043.10.511.3.12041600048156613329793822566495651
6. 1.2.826.0.1.3680043.10.511.3.12718116375608495830041119776887887
7. 1.2.826.0.1.3680043.10.511.3.13386724401829265460622415500801368
8. 1.2.826.0.1.3680043.10.511.3.14042734131864468280344737986870899
9. 1.2.826.0.1.3680043.10.511.3.17374765903080083648409690755539184
10. 1.2.826.0.1.3680043.10.511.3.17429002643681869326389465422353495
11. 1.2.826.0.1.3680043.10.511.3.20359930476040698387716730891020638
12. 1.2.826.0.1.3680043.10.511.3.28397033639127902823368316410884210
13. 1.2.826.0.1.3680043.10.511.3.28425539132321749931109935391487352
14. 1.2.826.0.1.3680043.10.511.3.34574227972763695321794092913087775
15. 1.2.826.0.1.3680043.10.511.3.36216094237641867532902805456135029
16. 1.2.826.0.1.3680043.10.511.3.39533936694797964318706337783276378
17. 1.2.826.0.1.3680043.10.511.3.39900930856460689132625586523683939
18. 1.2.826.0.1.3680043.10.511.3.41633795217567037218184715094985555
19. 1.2.826.0.1.3680043.10.511.3.42218106649761752724553401155203874
20. 1.2.826.0.1.3680043.10.511.3.49098870621170235412220976183110770
21. 1.2.826.0.1.3680043.10.511.3.50064322235999800062455171235601125
22. 1.2.826.0.1.3680043.10.511.3.50905421517530127976832505410705816
23. 1.2.826.0.1.3680043.10.511.3.62935684444056080516153739948364303
24. 1.2.826.0.1.3680043.10.511.3.73572792121235596011940904319511291
25. 1.2.826.0.1.3680043.10.511.3.74494366757564543824303304482444570
26. 1.2.826.0.1.3680043.10.511.3.79988146996803179892075404247166692
27. 1.2.826.0.1.3680043.10.511.3.80004293150506819482091023564947091
28. 1.2.826.0.1.3680043.10.511.3.82774274518897141254234567300292686
29. 1.2.826.0.1.3680043.10.511.3.84202416467561501610598853920808906
30. 1.2.826.0.1.3680043.10.511.3.86214492184712627544696209982376598
31. 1.2.826.0.1.3680043.10.511.3.90193069664920622990317347485104073
32. 1.2.826.0.1.3680043.10.511.3.95666157880521064637011880609274546
33. 1.2.826.0.1.3680043.10.511.3.96676982370873257329281821215166082
34. 1.2.826.0.1.3680043.10.511.3.98258035017480972315346136181769675
3. [RMS-Mutation-Prediction-Expert-Annotations ](https://doi.org/10.5281/zenodo.10462857)
**WARNING**: After the release of v20, it was discovered that a mistake had been made during data conversion that affected the newly-released segmentations accompanying the "RMS-Mutation-Prediction" collection. Segmentations released in v20 for this collection have the segment labels for alveolar rhabdomyosarcoma (ARMS) and embryonal rhabdomyosarcoma (ERMS) switched in the metadata relative to the correct labels. Thus segment 3 in the released files is labelled in the metadata (the SegmentSequence) as ARMS but should correctly be interpreted as ERMS, and conversely segment 4 in the released files is labelled as ERMS but should be correctly interpreted as ARMS. We apologize for the mistake and any confusion that it has caused, and will be releasing a corrected version of the files in the next release as soon as possible.[ ](https://doi.org/10.5281/zenodo.10462857)\
Collections analyzed:
1. [RMS-Mutation-Prediction](https://doi.org/10.5281/zenodo.8225131)
#### New Clinical Metadata Tables
1. [mediastinal\_lymph\_node\_seg\_clinical](https://ortal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=mediastinal_lymph_node_seg)
2. [spine\_mets\_ct\_seg\_clinical](https://testing-portal.canceridc.dev/explore/filters/?collection_id=spine_mets_ct_seg)
## v19 - September 2024
**New pathology collections**
1. [CCDI-MCI](https://doi.org/10.5281/zenodo.11099087)
2. [CMB-AML](https://doi.org/10.5281/zenodo.11099111)
3. [CMB-CRC](https://doi.org/10.5281/zenodo.11099111)
4. [CMB-GEC](https://doi.org/10.5281/zenodo.11099111)
5. [CMB-LCA](https://doi.org/10.5281/zenodo.11099111)
6. [CMB-MEL](https://doi.org/10.5281/zenodo.11099111)
7. [CMB-MML](https://doi.org/10.5281/zenodo.11099111)
8. [CMB-PCA](https://doi.org/10.5281/zenodo.11099111)
9. [GTEx](https://doi.org/10.5281/zenodo.11099099)
**New analysis results**
1. [Pancreas-CT-SEG](https://doi.org/10.5281/zenodo.12130275)\
Collections analyzed:
1. [Pancreas-CT](https://doi.org/10.7937/k9/tcia.2016.tnb1kqbu)
2. [Pan-Cancer-Nuclei-Seg-DICOM](https://doi.org/10.5281/zenodo.11099004)\
Collections analyzed:
1. [TCGA-BLCA](https://doi.org/10.5281/zenodo.12690045)
2. [TCGA-BRCA](https://doi.org/10.5281/zenodo.12689962)
3. [TCGA-CESC](https://doi.org/10.5281/zenodo.12689956)
4. [TCGA-COAD](https://doi.org/10.5281/zenodo.12689970)
5. [TCGA-GBM](https://doi.org/10.5281/zenodo.12690010)
6. [TCGA-LUAD](https://doi.org/10.5281/zenodo.12689915)
7. [TCGA-LUSC](https://doi.org/10.5281/zenodo.12690008)
8. [TCGA-PAAD](https://doi.org/10.5281/zenodo.12689972)
9. [TCGA-PRAD](https://doi.org/10.5281/zenodo.12689935)
10. [TCGA-READ](https://doi.org/10.5281/zenodo.12689998)
11. [TCGA-SKCM](https://doi.org/10.5281/zenodo.12690039)
12. [TCGA-STAD](https://doi.org/10.5281/zenodo.12690037)
13. [TCGA-UCEC](https://doi.org/10.5281/zenodo.12689968)
14. [TCGA-UVM](https://doi.org/10.5281/zenodo.12690041)
**Revised radiology collections**
1. [Advanced-MRI-Breast-Lesions](https://www.cancerimagingarchive.net/collection/advanced-mri-breast-lesions/)
2. [CMB-AML](https://www.cancerimagingarchive.net/collection/cmb-aml/)
3. [CMB-CRC](https://www.cancerimagingarchive.net/collection/cmb-crc/)
4. [CMB-GEC](https://www.cancerimagingarchive.net/collection/cmb-gec/)
5. [CMB-LCA](https://www.cancerimagingarchive.net/collection/cmb-lca/)
6. [CMB-MEL](https://www.cancerimagingarchive.net/collection/cmb-mel/)
7. [CMB-MML](https://www.cancerimagingarchive.net/collection/cmb-mml/)
8. [CMB-PCA](https://www.cancerimagingarchive.net/collection/cmb-pca/)
9. [CPTAC-CCRCC](https://www.cancerimagingarchive.net/collection/cptac-ccrcc/)
10. [CPTAC-LSCC](https://www.cancerimagingarchive.net/collection/cptac-lscc/)
11. [CPTAC-UCEC](https://www.cancerimagingarchive.net/collection/cptac-ucec/)
12. [NLM-Visible-Human-Project](https://doi.org/10.5281/zenodo.12690049)
13. [RIDER Lung CT](https://www.cancerimagingarchive.net/collection/rider-lung-ct/)
Cancer Moonshot Biobank (CMB) radiology images were updated to fix incorrect values assigned to `PatientID` (see details on the collection pages linked above). The updated images have different DICOM Study/Series/SOPInstanceUIDs.
**Revised analysis results**
1. [BAMF-AIMI-Annotations](https://doi.org/10.5281/zenodo.8345959)\
Collections analyzed:
1. [ACRIN-NSCLC-FDG-PET](https://doi.org/10.7937/tcia.2019.30ilqfcl)
2. [Anti-PD-1\_Lung](https://doi.org/10.7937/tcia.2019.zjjwb9ip)
3. [Colorectal-Liver-Metastases](https://doi.org/10.7937/qxk2-qg03)
4. [CPTAC-CCRCC](https://doi.org/10.7937/k9/tcia.2018.oblamn27)
5. [Duke-Breast-Cancer-MRI](https://doi.org/10.7937/tcia.e3sv-re93)
6. [HCC-TACE-Seg](https://doi.org/10.7937/tcia.5fna-0924)
7. [Lung-PET-CT-Dx](https://doi.org/10.7937/tcia.2020.nnc2-0461)
8. [NLST](https://doi.org/10.7937/tcia.hmq8-j677)
9. [NSCLC Radiogenomics](https://doi.org/10.7937/k9/tcia.2017.7hs46erv)
10. [Prostate-MRI-US-Biopsy](https://doi.org/10.7937/tcia.2020.a61ioc1a)
11. [PROSTATEx](https://doi.org/10.7937/k9tcia.2017.murs5cl)
12. [QIN-BREAST](https://doi.org/10.7937/k9/tcia.2016.21juebh0)
13. [QIN LUNG CT](https://doi.org/10.7937/k9/tcia.2015.npgzyzbz)
14. [RIDER Lung PET-CT](https://doi.org/10.7937/k9/tcia.2015.ofip7tvm)
15. [SPIE-AAPM Lung CT Challenge](https://doi.org/10.7937/k9/tcia.2015.uzlsu3fl)
16. [TCGA-KICH](https://doi.org/10.7937/k9/tcia.2016.yu3rbczn)
17. [TCGA-KIRC](https://doi.org/10.7937/k9/tcia.2016.v6pbvtdr)
18. [TCGA-KIRP](https://doi.org/10.7937/k9/tcia.2016.acwogbef)
19. [TCGA-LIHC](https://doi.org/10.7937/k9/tcia.2016.immqw8uq)
20. [TCGA-LUAD](https://doi.org/10.7937/k9/tcia.2016.jgnihep5)
21. [TCGA-LUSC](https://doi.org/10.7937/k9/tcia.2016.tygkkfmq)
22. [UPENN-GBM](https://doi.org/10.7937/tcia.709x-dn49)
**New clinical metadata tables**
1. [acrin\_contralateral\_breast\_mr\_A0](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
2. [acrin\_contralateral\_breast\_mr\_AB](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
3. [acrin\_contralateral\_breast\_mr\_F1](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
4. [acrin\_contralateral\_breast\_mr\_I1](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
5. [acrin\_contralateral\_breast\_mr\_IA](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
6. [acrin\_contralateral\_breast\_mr\_IM](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
7. [acrin\_contralateral\_breast\_mr\_IS](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
8. [acrin\_contralateral\_breast\_mr\_KS](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
9. [acrin\_contralateral\_breast\_mr\_MS](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
10. [acrin\_contralateral\_breast\_mr\_M4](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
11. [acrin\_contralateral\_breast\_mr\_P8](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
12. [acrin\_contralateral\_breast\_mr\_PA](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
13. [acrin\_contralateral\_breast\_mr\_PD](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
14. [acrin\_contralateral\_breast\_mr\_PE](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
15. [acrin\_contralateral\_breast\_mr\_PR](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
16. [acrin\_contralateral\_breast\_mr\_QA](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_contralateral_breast_mr)
17. [advanced\_mri\_breast\_lesions\_clinical](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=advanced_mri_breast_lesions)
18. [upenn\_gbm](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=upenn_gbm)
## v18 - April 2024
**New radiology collections**
1. [Advanced-MRI-Breast-Lesions](https://doi.org/10.7937/C7X1-YN57)
**New analysis results**
1. [RMS-Mutation-Prediction-Expert-Annotations](https://doi.org/10.5281/zenodo.10462857)\*\
Collections analyzed:
1. [RMS-Mutation-Prediction](https://doi.org/10.5281/zenodo.8225131)
2. [TotalSegmentator-CT-Segmentations](https://doi.org/10.5281/zenodo.8347011)\*\*\
Collections analyzed:
1. [NLST](https://doi.org/10.7937/TCIA.HMQ8-J677)
**Revised radiology collections**
(starred collections are revised due to new or revised analysis results)
1. [Breast-Cancer-Screening-DBT](https://doi.org/10.7937/E4WT-CD02) (revisions only to clinical data)
2. [NLST](https://doi.org/10.7937/TCIA.HMQ8-J677)\*\*
**Revised pathology collections**
(starred collections are revised due to new or revised analysis results)
1. [CPTAC-BRCA](https://doi.org/10.7937/TCIA.CAEM-YS80) (fix PatientAges > 090Y)
2. [CPTAC-COAD](https://doi.org/10.7937/TCIA.YZWQ-ZZ63) (fix PatientAges > 090Y)
3. [RMS-Mutation-Prediction](https://doi.org/10.5281/zenodo.8225131)\*
1. Also added missing instance\
SOPInstanceUID: 1.3.6.1.4.1.5962.99.1.3459553143.523311062.1687086765943.9.0
2. Removed corrupted instances
1. SOPInstanceUID: 1.3.6.1.4.1.5962.99.1.2164023716.1899467316.1685791236516.37.0
2. SOPInstanceUID: 1.3.6.1.4.1.5962.99.1.2411736851.773458418.1686038949651.37.0
3. SOPInstanceUID: 1.3.6.1.4.1.5962.99.1.2411736851.773458418.16860389
4. [TCGA-BLCA](https://doi.org/10.7937/K9/TCIA.2016.8LNG8XDR) (All TCGA revisions are to correct multiple manufacturer values within same series)
5. [TCGA-BRCA](https://doi.org/10.7937/K9/TCIA.2016.AB2NAZRP)
6. [TCGA-CHOL](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/cholangiocarcinoma)
7. [TCGA-COAD](https://doi.org/10.7937/K9/TCIA.2016.HJJHBOXZ)
8. TCGA-DLBC (No description page)
9. [TCGA-ESCA](https://doi.org/10.7937/K9/TCIA.2016.VPTNRGFY)
10. [TCGA-HNSC](https://doi.org/10.7937/K9/TCIA.2016.LXKQ47MS)
11. [TCGA-KIRC](https://doi.org/10.7937/K9/TCIA.2016.V6PBVTDR)
12. [TCGA-KIRP](https://doi.org/10.7937/K9/TCIA.2016.ACWOGBEF)
13. [TCGA-LIHC](https://doi.org/10.7937/K9/TCIA.2016.IMMQW8UQ)
14. [TCGA-LUAD](https://doi.org/10.7937/K9/TCIA.2016.JGNIHEP5)
15. [TCGA-LUSC](https://doi.org/10.7937/K9/TCIA.2016.TYGKKFMQ)
16. [TCGA-PAAD](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/pancreatic)
17. [TCGA-PRAD](https://doi.org/10.7937/K9/TCIA.2016.YXOGLM4Y)
18. [TCGA-READ](https://doi.org/10.7937/K9/TCIA.2016.F7PPNPNU)
19. [TCGA-SARC](https://doi.org/10.7937/K9/TCIA.2016.CX6YLSUX)
20. [TCGA-SKCM](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/melanoma-skin)
21. [TCGA-STAD](https://doi.org/10.7937/K9/TCIA.2016.GDHL9KIM)
22. [TCGA-TGCT](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/testicular-germ-cell)
23. [TCGA-THCA](https://doi.org/10.7937/K9/TCIA.2016.9ZFRVF1B)
24. [TCGA-THYM](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/thymoma)
25. [TCGA-UCEC](https://doi.org/10.7937/K9/TCIA.2016.GKJ0ZWAC)
26. [TCGA-UCS](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/uterine-carcinosarcoma)
**New clinical metadata tables**
1. [acrin\_nsclc\_fdg\_pet\_bamf\_lung\_pet\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=acrin_nsclc_fdg_pet)
2. [anti\_pd\_1\_lung\_bamf\_lung\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=anti_pd_1_lung)
3. [anti\_pd\_1\_lung\_bamf\_lung\_fdg\_pet\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=anti_pd_1_lung)
4. [lung\_pet\_ct\_dx\_bamf\_lung\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=lung_pet_ct_dx)
5. [lung\_pet\_ct\_dx\_bamf\_lung\_fdg\_pet\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=lung_pet_ct_dx)
6. [nsclc\_radiogenomics\_bamf\_lung\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=nsclc_radiogenomics)
7. [nsclc\_radiogenomics\_bamf\_lung\_fdg\_pet\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=nsclc_radiogenomics)
8. [prostatex\_bamf\_segmentations](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=prostatex)
9. [qin\_breast\_bamf\_breast\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=qin_breast)
10. [rider\_lung\_pet\_ct\_bamf\_lung\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=rider_lung_pet_ct)
11. [rider\_lung\_pet\_ct\_bamf\_lung\_fdg\_pet\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=rider_lung_pet_ct)
12. [tcga\_kirc\_bamf\_kidney\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=tcga_kirc)
13. [tcga\_lihc\_bamf\_liver\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=tcga_lihc)
14. [tcga\_lihc\_bamf\_liver\_mr\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=tcga_lihc)
15. [tcga\_luad\_bamf\_lung\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=tcga_luad)
16. [tcga\_luad\_bamf\_lung\_mr\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=tcga_luad)
17. [tcga\_lusc\_bamf\_lung\_ct\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=tcga_lusc)
18. [tcga\_lusc\_bamf\_lung\_mr\_segmentation](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=tcga_lusc)
**Notes**
The deprecated columns `tcia_api_collection_id` and `idc_webapp_collection_id` have been removed from the `auxiliary_metadata` table in the `idc_v18` BQ dataset. These columns were duplicates of columns `collection_name` and `collection_id` respectively.
## v17 - December 2023
New radiology collections
1. [CMB-AML](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CMB\&collection_id=cmb_aml)
2. [CT-Phantom4Radiomics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=ct_phantom4radiomics)
3. [EA1141](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=NCI_Trials\&collection_id=ea1141)
4. [ReMIND](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=remind)
5. [Vestibular-Schwannoma-MC-RC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=vestibular_schwannoma_mc_rc)
New analysis results
1. [BAMF-AIMI-Annotations](https://portal.imaging.datacommons.cancer.gov/explore/filters/?analysis_results_id=BAMF-AIMI-Annotations)
Collections analyzed:
1. [ACRIN-NSCLC-FDG-PET](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=NCI_Trials\&collection_id=acrin_nsclc_fdg_pet)
2. [Anti-PD-1-Lung](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=anti_pd_1_lung)
3. [LUNG-PET-CT-Dx](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=lung_pet_ct_dx)
4. [NSCLC Radiogenomics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=nsclc_radiogenomics)
5. [ProstateX](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=prostatex)
6. [QIN-Breast](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=QIN\&collection_id=qin_breast)
7. [RIDER Lung PET-CT](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=RIDER\&collection_id=rider_lung_pet_ct)
8. [TCGA-KIRC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=TCGA\&collection_id=tcga_kirc)
9. [TCGA-LIHC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=TCGA\&collection_id=tcga_lihc)
10. [TCGA-LUAD](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=TCGA\&collection_id=tcga_luad)
11. [TCGA-LUSC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=TCGA\&collection_id=tcga_lusc)
2. [Prostate-MRI-US-Biopsy-DICOM-Annotations](https://portal.imaging.datacommons.cancer.gov/explore/filters/?analysis_results_id=Prostate-MRI-US-Biopsy-DICOM-Annotations)\
Collections analyzed:
1. [Prostate-MRI-US-Biopsy](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=prostate_mri_us_biopsy)
Revised radiology collections
1. [Prostate-MRI-US-Biopsy](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=prostate_mri_us_biopsy)
2. [CMB-CRC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CMB\&collection_id=cmb_crc)
3. [CMB-GEC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CMB\&collection_id=cmb_cgec)
4. [CMB-LCA](https://doi.org/10.7937/3CX3-S132)
5. [CMB-MEL](https://doi.org/10.7937/GWSP-WH72)
6. [CMB-MML](https://doi.org/10.7937/SZKB-SW39)
7. [CMB-PCA](https://doi.org/10.7937/25T7-6Y12)
8. [CPTAC-CCRCC](https://doi.org/10.7937/K9/TCIA.2018.OBLAMN27)
9. [CPTAC-PDA](https://doi.org/10.7937/K9/TCIA.2018.SC20FO18)
New clinical metadata tables
1. [ea1141\_demographics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ea1141)
2. [ea1141\_mri](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ea1141)
3. [ea1141\_risk\_model](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ea1141)
4. [ea1141\_screening](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ea1141)
5. [ea1141\_status\_12mo](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ea1141)
6. [ea1141\_status\_6mo](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ea1141)
7. [ea1141\_tomosynthesis](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ea1141)
8. [htan\_ohsu\_demographics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_ohsu)
9. [htan\_vanderbilt\_demographics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_vanderbilt)
10. [htan\_vanderbilt\_diagnosis](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_vanderbilt)
11. [htan\_vanderbilt\_exposure](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_vanderbilt)
12. [htan\_vanderbilt\_familyhistory](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_vanderbilt)
13. [htan\_vanderbilt\_followup](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_vanderbilt)
14. [htan\_vanderbilt\_moleculartest](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_vanderbilt)
15. [htan\_vanderbilt\_therapy](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_vanderbilt)
16. [remind\_clinical](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=remind)
## v16 - September 2023
New radiology collections
1. [PDMR-Texture-Analysis](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=PDMR\&collection_id=pdmr_texture_analysis)
New pathology collections
1. [RMS-Mutation-Prediction](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CCDI\&collection_id=rms_mutation_prediction)
Revised radiology collections
1. [Breast-MRI-NACT-Pilot](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=breast_mri_nact_pilot) (TCIA description: (Repair of DICOM tag(0008,0005) to value "ISO\_IR 100" in 79 series)
2. [CPTAC-CRCC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_crcc) (Revised because results from CPTAC-CRCC-Tumor-Annotations were added)
3. [CPTAC-UCEC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_ucec) (Revised because results from CPTAC-UCEC-Tumor-Annotations were added)
4. [CPTAC-PDA](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_pda) (Revised because results from CPTAC-PDA-Tumor-Annotations were added)
New analysis results
1. [CPTAC-CRCC-Tumor-Annotations](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=157288300)
2. [CPTAC-UCEC-Tumor-Annotations](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=157288358)
3. [CPTAC-PDA-Tumor-Annotations](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=157288334)
New clinical metadata tables
1. [htan\_hms\_demographics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_hms)
2. [htan\_hms\_diagnosis](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_hms)
3. [htan\_hms\_exposure](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_hms)
4. [htan\_hms\_familyhistory](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_hms)
5. [htan\_hms\_followup](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_hms)
6. [htan\_hms\_moleculartheraphy](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_hms)
7. [htan\_ohsu\_demographics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_ohsu)
8. [htan\_ohsu\_diagnosis](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_ohsu)
9. [htan\_ohsu\_exposure](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_ohsu)
10. [htan\_ohsu\_familyhistory](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_ohsu)
11. [htan\_ohsu\_followup](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_ohsu)
12. [htan\_ohsu\_moleculartheraphy](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_ohsu)
13. [htan\_wustl\_demographics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_wustl)
14. [htan\_wustl\_diagnosis](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_wustl)
15. [htan\_wustl\_exposure](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_wustl)
16. [htan\_wustl\_familyhistory](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_wustl)
17. [htan\_wustl\_followup](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_wustl)
18. [htan\_wustl\_moleculartheraphy](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=htan_wustl)
19. [rms\_mutation\_prediction\_demographics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=rms_mutation_prediction)
20. [rms\_mutation\_prediction\_diagnosis](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=rms_mutation_prediction)
21. [rms\_mutation\_prediction\_sample](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=rms_mutation_prediction)
## v15 - July 2023
New radiology collections
1. [Adrenal-ACC-Ki67-Seg](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=adrenal_acc_ki67_seg)
2. [CC-Tumor-Heterogeneity](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=cc_tumor_heterogeneity)
3. [Colorectal-Liver-Metastases](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=cc_tumor_heterogeneity)
4. [NLM-Visible-Human-Project](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=nlm_visible_human_project)
5. [Prostate-Anatomical-Edge-Cases](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=prostate_anatomical_edge_cases)
6. [RIDER Pilot](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=RIDER\&collection_id=rider_pilot)
New pathology collections
1. [HTAN-VANDERBILT](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=HTAN\&collection_id=htan_vanderbilt)
2. [ICDC-Glioma](https://portal.imaging.datacommons.cancer.gov/explore/filters/?Modality_op=OR\&Modality=SM\&collection_id=icdc_glioma) (ICDC-Glioma radiology added in a previous version)
Revised radiology collections
1. [CPTAC-CCRCC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_ccrcc) (TCIA description: “Radiology modality data cleanup to remove extraneous scans.”)
2. [CPTAC-CM](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_cm) (“TCIA description: Radiology modality data cleanup to remove extraneous scans.”)
3. [CPTAC-LSCC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_lscc) (TCIA description: “Radiology modality data cleanup to remove extraneous scans.”)
4. [CPTAC-LUAD](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_luad) (TCIA description: “Radiology modality data cleanup to remove extraneous scans.”)
5. [CPTAC-PDA](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_pda) (TCIA description: TCIA description: “Radiology modality data cleanup to remove extraneous scans.”)
6. [CPTAC-SAR](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_sar) (TCIA description: “Radiology modality data cleanup to remove extraneous scans.”)
7. [CPTAC-UCEC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_ucec) (TCIA description: “Radiology modality data cleanup to remove extraneous scans.”)
8. [CT Lymph Nodes](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=ct_lymph_nodes) (TCIA description: “Added DICOM version of MED\_ABD\_LYMPH\_MASKS.zip segmentations that were previously available”)
9. [RIDER Lung CT](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=RIDER\&collection_id=rider_lung_ct) (Revised because QIBA-VolCT-1B analysis results were added)
10. [NLST](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=RIDER\&collection_id=nlst) (Revised because analysis results from nnU-Net-BPR-Annotations were revised)
11. [NSCLC-Radiomics](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=nsclc_radiomics) (Revised because analysis results from nnU-Net-BPR-Annotations were revised)
Revised pathology collections
1. [CPTAC-GBM](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=cptac_gbm) (11 pathology-only patients removed at request of data owner)
2. [CPTAC-SAR](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CPTAC\&collection_id=cptac_sar) (1 pathology-only patient removed at request of data owner)
New analysis results
1. [QIBA-VolCT-1B](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=qiba_ct_1c) (Analysis of NLST and NSCLC-Radiomics)
Revised analysis results
1. [nnU-Net-BPR-Annotations](https://portal.imaging.datacommons.cancer.gov/explore/filters/?analysis_results_id=nnU-Net-BPR-annotations) (Annotations of NLST and NSCLC-Radiomics radiology)
New clinical metadata tables
1. [adrenal\_acc\_ki67\_seg\_clinical](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=adrenal_acc_ki67_seg)
2. [cc\_tumor\_heterogeneity\_clinical](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=cc_tumor_heterogeneity)
3. [colorectal\_liver\_metastases\_clinical](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=colorectal_liver_metastases)
4. [duke\_breast\_cancer\_mri\_clinical](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=Community\&collection_id=duke_breast_cancer_mri)
5. [nlst\_clinical](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=NCI_Trials\&collection_id=nlst)
6. [nlst\_ctab](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=NCI_Trials\&collection_id=nlst)
7. [nlst\_ctabc](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=NCI_Trials\&collection_id=nlst)
8. [nlst\_prsn](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=NCI_Trials\&collection_id=nlst)
9. [nlst\_screen](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=NCI_Trials\&collection_id=nlst)
## v14 - May 2023
This release does not introduce any new data, but changes the bucket organization and introduces replication of IDC files in Amazon AWS storage buckets, as described in [this section](https://learn.canceridc.dev/data/organization-of-data/files-and-metadata).
## v13 - Mar 2023
New analysis results collection:
1. [nnU-Net-BPR-annotations](https://portal.imaging.datacommons.cancer.gov/explore/filters/?analysis_results_id=nnU-Net-BPR-annotations)
New clinical data collections:
1. [PROSTATEx](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=prostatex)
## v12 - Nov 2022
New collections:
1. [CT-vs-PET-Ventilation-Imaging](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ct_vs_pet_ventilation_imaging)
2. [CTpred-Sunitinib-panNET](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ctpred_sunitinib_pannet)
Updated collections:
1. [CMB-CRC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_crc)
2. [CMB-LCA](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_lca)
3. [CMB-MEL](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_mel)
4. [CMB-PCA](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_pca)
5. [Pancreatic-CT-CBCT-SEG](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=pancreatic_ct_cbct_seg)
Other:
Metadata corresponding to "limited" access collections are removed.
New clinical data collections:
1. [CTpred-Sunitinib-panNET](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=ctpred_sunitinib_pannet)
Other clinical data updates:
Limited access collections are removed. Clinical metadata for the COVID-19-NY-SUB and ACRIN 6698/I-SPY2 Breast DWI collections now includes information ingested from data dictionaries associated with these collections. In v11 the string value 'NA' was being changed to null during the ETL process for some columns/collections. This is now fixed in v12 and the value 'NA' is preserved.
## v11 - Sept 2022
This release introduces clinical data ingested for a subset of collections, and now available via a dedicated BigQuery dataset.
New collections:
1. [CMB-CRC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_crc)
2. [CMB-GEC](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_gec)
3. [CMB-LCA](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_lca)
4. [CMB-MEL](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_mel)
5. [CMB-MML](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_mml)
6. [CMB-PCA](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=CMB\&collection_id=cmb_pca)
7. [GBM-DSC-MRI-DRO](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=QIN\&collection_id=gbm_dsc_mri_dro)
8. [HCC-TACE-Seg](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=Community\&collection_id=hcc_tace_seg)
9. [PDMR-521955-158-R4](https://portal.imaging.datacommons.cancer.gov/explore/filters/?access=Public\&collection_id=PDMR\&collection_id=pdmr_521955_158_r4)
## v10 - Aug 2022
In this release we introduce a new HTAN program including currently three collections release by the [Human Tumor Atlas Network](https://humantumoratlas.org/).
New collections:
1. [ACRIN-6698](https://dx.doi.org/10.7937/tcia.kk02-6d95)
2. [HTAN-HMS](https://humantumoratlas.org/hta7/)
3. [HTAN-OHSU](https://humantumoratlas.org/hta9/)
4. [HTAN-WUSTL](https://humantumoratlas.org/hta12/)
5. [ISPY2](https://dx.doi.org/10.7937/TCIA.D8Z0-9T85)
6. [UPENN-GBM](https://dx.doi.org/10.7937/TCIA.709X-DN49)
Updated collections:
CPTAC, TCGA and NLST collections have been reconverted due to a technical issue identified with a subset of images included in v9.
1. [CPTAC-AML](https://dx.doi.org/10.7937/tcia.2019.b6foe619)
2. [CPTAC-BRCA](https://dx.doi.org/10.7937/TCIA.CAEM-YS80) \*
3. [CPTAC-CCRCC](https://dx.doi.org/10.7937/K9/TCIA.2018.OBLAMN27)
4. [CPTAC-CM](https://dx.doi.org/10.7937/K9/TCIA.2018.ODU24GZE)
5. [CPTAC-COAD](https://dx.doi.org/10.7937/TCIA.YZWQ-ZZ63)
6. [CPTAC-GBM](https://dx.doi.org/10.7937/K9/TCIA.2018.3RJE41Q1)
7. [CPTAC-HNSCC](https://dx.doi.org/10.7937/K9/TCIA.2018.UW45NH81)
8. [CPTAC-LSCC](https://dx.doi.org/10.7937/K9/TCIA.2018.6EMUB5L2)
9. [CPTAC-LUAD](https://dx.doi.org/10.7937/K9/TCIA.2018.PAT12TBS)
10. [CPTAC-OV](https://dx.doi.org/10.7937/TCIA.ZS4A-JD58)
11. [CPTAC-PDA](https://dx.doi.org/10.7937/K9/TCIA.2018.SC20FO18)
12. [CPTAC-SAR](https://dx.doi.org/10.7937/TCIA.2019.9bt23r95)
13. [CPTAC-UCEC](https://dx.doi.org/10.7937/K9/TCIA.2018.3R3JUISW)
14. [Duke-Breast-Cancer-MRI](https://dx.doi.org/10.7937/TCIA.e3sv-re93)
15. [NLST](https://dx.doi.org/10.7937/TCIA.hmq8-j677)
16. [TCGA-ACC](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/adrenocortical)
17. [TCGA-BLCA](https://dx.doi.org/10.7937/K9/TCIA.2016.8LNG8XDR)
18. [TCGA-BRCA](https://dx.doi.org/10.7937/K9/TCIA.2016.AB2NAZRP)
19. [TCGA-BRCA](https://dx.doi.org/10.7937/TCIA.2019.wgllssg1)
20. [TCGA-CESC](https://dx.doi.org/10.7937/K9/TCIA.2016.SQ4M8YP4)
21. [TCGA-CHOL](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/cholangiocarcinoma)
22. [TCGA-COAD](https://dx.doi.org/10.7937/K9/TCIA.2016.HJJHBOXZ)
23. TCGA-DLBC
24. [TCGA-ESCA](https://dx.doi.org/10.7937/K9/TCIA.2016.VPTNRGFY)
25. [TCGA-GBM](https://dx.doi.org/10.7937/K9/TCIA.2016.RNYFUYE9)
26. [TCGA-GBM](https://dx.doi.org/10.7937/TCIA.2018.ow6ce3ml)
27. [TCGA-HNSC](https://dx.doi.org/10.7937/K9/TCIA.2016.LXKQ47MS)
28. [TCGA-KICH](https://dx.doi.org/10.7937/K9/TCIA.2016.YU3RBCZN)
29. [TCGA-KIRC](https://dx.doi.org/10.7937/K9/TCIA.2016.V6PBVTDR)
30. [TCGA-KIRP](https://dx.doi.org/10.7937/K9/TCIA.2016.ACWOGBEF) \*
31. [TCGA-LGG](https://dx.doi.org/10.7937/K9/TCIA.2016.L4LTD3TK)
32. [TCGA-LGG](https://dx.doi.org/10.7937/TCIA.2018.ow6ce3ml)
33. [TCGA-LIHC](https://dx.doi.org/10.7937/K9/TCIA.2016.IMMQW8UQ)
34. [TCGA-LUAD](https://dx.doi.org/10.7937/K9/TCIA.2016.JGNIHEP5)
35. [TCGA-LUSC](https://dx.doi.org/10.7937/K9/TCIA.2016.TYGKKFMQ)
36. [TCGA-MESO](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/mesothelioma)
37. [TCGA-OV](https://dx.doi.org/10.7937/K9/TCIA.2016.NDO1MDFQ)
38. [TCGA-PAAD](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/pancreatic)
39. [TCGA-PCPG](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/paraganglioma)
40. [TCGA-PRAD](https://dx.doi.org/10.7937/K9/TCIA.2016.YXOGLM4Y)
41. [TCGA-READ](https://dx.doi.org/10.7937/K9/TCIA.2016.F7PPNPNU)
42. [TCGA-SARC](https://dx.doi.org/10.7937/K9/TCIA.2016.CX6YLSUX)
43. [TCGA-SKCM](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/melanoma-skin)
44. [TCGA-STAD](https://dx.doi.org/10.7937/K9/TCIA.2016.GDHL9KIM)
45. [TCGA-TGCT](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/testicular-germ-cell)
46. [TCGA-THCA](https://dx.doi.org/10.7937/K9/TCIA.2016.9ZFRVF1B)
47. [TCGA-THYM](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/thymoma)
48. [TCGA-UCEC](https://dx.doi.org/10.7937/K9/TCIA.2016.GKJ0ZWAC)
49. [TCGA-UCS](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/uterine-carcinosarcoma)
50. [TCGA-UVM](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/melanoma-eye)
Note that the TCGA-KIRP and TCGA-BRCA collections (marked with the asterisk in the list above) are currently missing SM high resolution layer files/instances due to a [known limitation](https://issuetracker.google.com/issues/238920874) of Google Healthcare that makes it not possible to ingest datasets that exceed some internal limits. Specifically, the following patient/studies are affected:
* TCGA-KIRP: `PatientID` TCGA-5P-A9KA, `StudyInstanceUID` 2.25.191236165605958868867890945341011875563
* TCGA-BRCA: `PatientID` TCGA-OL-A66H, `StudyInstanceUID` 2.25.82800314486527687800038836287574075736 The affected files will be included in IDC when the infrastructure limitation is addressed.
Collection access level change:
1. [Vestibular-Schwannoma-SEG](https://doi.org/10.7937/TCIA.9YTJ-5Q73) is now available as public access collection
## v9 - May 2022
This data release introduces the concept of differential license to IDC: some of the collections maintained by IDC contain items that have different licenses. As an example, radiology component of the TCGA-GBM collection is covered by the TCIA limited access license, and is not available in IDC, while the digital pathology component is covered by CC-BY. With this release, we complete sharing in full of the digital pathology component of the datasets released by the CPTAC and TCGA programs.
New collections:
1. [ACRIN-Contralateral-Breast-MR](https://dx.doi.org/10.7937/Q1EE-J082)
2. [StageII-Colorectal-CT](https://dx.doi.org/10.7937/p5k5-tg43)
Updated collections:
1. [B-mode-and-CEUS-Liver](https://dx.doi.org/10.7937/TCIA.2021.v4z7-tc39)
2. [CPTAC-GBM](https://dx.doi.org/10.7937/K9/TCIA.2018.3RJE41Q1)
3. [CPTAC-HNSCC](https://dx.doi.org/10.7937/K9/TCIA.2018.UW45NH81)
4. [Pediatric-CT-SEG](https://dx.doi.org/10.7937/TCIA.X0H0-1706)
5. [TCGA-GBM](https://dx.doi.org/10.7937/K9/TCIA.2016.RNYFUYE9)
6. [TCGA-HNSC](https://dx.doi.org/10.7937/K9/TCIA.2016.LXKQ47MS)
7. [TCGA-LGG](https://dx.doi.org/10.7937/K9/TCIA.2016.L4LTD3TK)
## v8 - April 2022
The main highlight of this release is the addition of the NLST and TCGA Slide Microscopy imaging data. New TCGA content includes introduction of new (to IDC) TCGA collections that have only slide microscopy component, and addition of the slide microscopy component to those IDC collections that were available earlier and included only the radiology component.
New collections
1. [TCGA-ACC](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/adrenocortical)
2. [TCGA-CHOL](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/cholangiocarcinoma)
3. TCGA-DLBC (TCGA-DLBC collection does not have a description page)
4. [TCGA-MESO](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/mesothelioma)
5. [TCGA-PAAD](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/pancreatic)
6. [TCGA-PCPG](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/paraganglioma)
7. [TCGA-SKCM](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/melanoma-skin)
8. [TCGA-TGCT](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/testicular-germ-cell)
9. [TCGA-THYM](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/thymoma)
10. [TCGA-UCS](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/uterine-carcinosarcoma)
11. [TCGA-UVM](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/studied-cancers/melanoma-eye)
Updated collections
1. [NLST](https://dx.doi.org/10.7937/TCIA.hmq8-j677)
2. [TCGA-BLCA](https://dx.doi.org/10.7937/K9/TCIA.2016.8LNG8XDR)
3. [TCGA-BRCA](https://dx.doi.org/10.7937/K9/TCIA.2016.AB2NAZRP)
4. [TCGA-BRCA](https://dx.doi.org/10.7937/TCIA.2019.wgllssg1)
5. [TCGA-CESC](https://dx.doi.org/10.7937/K9/TCIA.2016.SQ4M8YP4)
6. [TCGA-COAD](https://dx.doi.org/10.7937/K9/TCIA.2016.HJJHBOXZ)
7. [TCGA-ESCA](https://dx.doi.org/10.7937/K9/TCIA.2016.VPTNRGFY)
8. [TCGA-KICH](https://dx.doi.org/10.7937/K9/TCIA.2016.YU3RBCZN)
9. [TCGA-KIRC](https://dx.doi.org/10.7937/K9/TCIA.2016.V6PBVTDR)
10. [TCGA-KIRP](https://dx.doi.org/10.7937/K9/TCIA.2016.ACWOGBEF)
11. [TCGA-LIHC](https://dx.doi.org/10.7937/K9/TCIA.2016.IMMQW8UQ)
12. [TCGA-LUAD](https://dx.doi.org/10.7937/K9/TCIA.2016.JGNIHEP5)
13. [TCGA-LUSC](https://dx.doi.org/10.7937/K9/TCIA.2016.TYGKKFMQ)
14. [TCGA-OV](https://dx.doi.org/10.7937/K9/TCIA.2016.NDO1MDFQ)
15. [TCGA-PRAD](https://dx.doi.org/10.7937/K9/TCIA.2016.YXOGLM4Y)
16. [TCGA-READ](https://dx.doi.org/10.7937/K9/TCIA.2016.F7PPNPNU)
17. [TCGA-SARC](https://dx.doi.org/10.7937/K9/TCIA.2016.CX6YLSUX)
18. [TCGA-STAD](https://dx.doi.org/10.7937/K9/TCIA.2016.GDHL9KIM)
19. [TCGA-THCA](https://dx.doi.org/10.7937/K9/TCIA.2016.9ZFRVF1B)
20. [TCGA-UCEC](https://dx.doi.org/10.7937/K9/TCIA.2016.GKJ0ZWAC)
## v7 - February 2022
The main highlight of this release is the addition of the Slide Microscopy imaging component to the remaining CPTAC collections.
New collections
1. [APOLLO-5-ESCA](https://dx.doi.org/10.7937/n69a-7a26)
2. [APOLLO-5-LUAD](https://dx.doi.org/10.7937/BDM9-4623)
3. [APOLLO-5-PAAD](https://dx.doi.org/10.7937/tcia.1yeg-5740)
4. [APOLLO-5-THYM](https://dx.doi.org/10.7937/tcia.0pg4-nh82)
5. [CPTAC-AML](https://dx.doi.org/10.7937/tcia.2019.b6foe619)
6. [CPTAC-BRCA](https://dx.doi.org/10.7937/TCIA.CAEM-YS80)
7. [CPTAC-COAD](https://dx.doi.org/10.7937/TCIA.YZWQ-ZZ63)
8. [CPTAC-OV](https://dx.doi.org/10.7937/TCIA.ZS4A-JD58)
9. [Pancreatic-CT-CBCT-SEG](https://dx.doi.org/10.7937/TCIA.ESHQ-4D90)
10. [Pediatric-CT-SEG](https://dx.doi.org/10.7937/TCIA.X0H0-1706)
Updated collections
1. [CPTAC-CCRCC](https://dx.doi.org/10.7937/K9/TCIA.2018.OBLAMN27)
2. [CPTAC-CM](https://dx.doi.org/10.7937/K9/TCIA.2018.ODU24GZE)
3. [CPTAC-LSCC](https://dx.doi.org/10.7937/K9/TCIA.2018.6EMUB5L2)
4. [CPTAC-LUAD](https://dx.doi.org/10.7937/K9/TCIA.2018.PAT12TBS)
5. [CPTAC-PDA](https://dx.doi.org/10.7937/K9/TCIA.2018.SC20FO18)
6. [CPTAC-SAR](https://dx.doi.org/10.7937/TCIA.2019.9bt23r95)
7. [CPTAC-UCEC](https://dx.doi.org/10.7937/K9/TCIA.2018.3R3JUISW)
## v6 - January 2022
The following collections became limited access due to the [change in policy by TCIA](https://discourse.canceridc.dev/t/tcia-collections-of-brain-head-or-head-neck-cancers-are-changing-to-limited-access/241), which is the original source of those collections.
Original collections:
1. [AAPM-RT-MAC](https://doi.org/10.7937/tcia.2019.bcfjqfqb)
2. [ACRIN-DSC-MR-Brain](https://doi.org/10.7937/tcia.2019.zr1pjf4i)
3. [ACRIN-FMISO-Brain](https://doi.org/10.7937/K9/TCIA.2018.vohlekok)
4. [ACRIN-HNSCC-FDG-PET-CT](https://doi.org/10.7937/K9/TCIA.2016.JQEJZZNG)
5. [Anti-PD-1\_MELANOMA](https://doi.org/10.7937/tcia.2019.1ae0qtcu)
6. [Brain-Tumor-Progression](https://doi.org/10.7937/K9/TCIA.2018.15quzvnb)
7. [CPTAC-GBM](https://doi.org/10.7937/K9/TCIA.2018.3RJE41Q1)
8. [CPTAC-HNSCC](https://doi.org/10.7937/K9/TCIA.2018.UW45NH81)
9. [HEAD-NECK-RADIOMICS-HN1](https://doi.org/10.7937/tcia.2019.8kap372n)
10. [HNSCC](https://doi.org/10.7937/k9/tcia.2020.a8sh-7363)
11. [HNSCC-3DCT-RT](https://doi.org/10.7937/K9/TCIA.2018.13upr2xf)
12. [Head-Neck Cetuximab](https://doi.org/10.7937/K9/TCIA.2015.7AKGJUPZ)
13. [Head-Neck-PET-CT](https://doi.org/10.7937/K9/TCIA.2017.8oje5q00)
14. [IvyGAP](https://doi.org/10.7937/K9/TCIA.2016.XLwaN6nL)
15. [LGG-1p19qDeletion](https://doi.org/10.7937/K9/TCIA.2017.dwehtz9v)
16. [MRI-DIR](https://doi.org/10.7937/K9/TCIA.2018.3f08iejt)
17. [OPC-Radiomics](https://doi.org/10.7937/tcia.2019.8dho2gls)
18. [QIN GBM Treatment Response](https://doi.org/10.7937/K9/TCIA.2016.nQF4gpn2)
19. [QIN-BRAIN-DSC-MRI](https://doi.org/10.7937/K9/TCIA.2016.5DI84Js8)
20. [QIN-HEADNECK](https://doi.org/10.7937/K9/TCIA.2015.K0F5CGLI)
21. [REMBRANDT](https://doi.org/10.7937/K9/TCIA.2015.588OZUZB)
22. [RIDER NEURO MRI](https://doi.org/10.7937/K9/TCIA.2015.VOSN3HN1)
23. [TCGA-GBM](https://doi.org/10.7937/K9/TCIA.2016.RNYFUYE9)
24. [TCGA-HNSC](https://doi.org/10.7937/K9/TCIA.2016.LXKQ47MS)
25. [TCGA-LGG](https://doi.org/10.7937/K9/TCIA.2016.L4LTD3TK)
26. [Vestibular-Schwannoma-SEG](https://doi.org/10.7937/TCIA.9YTJ-5Q73)
Analysis results collections:
1. [DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets](https://doi.org/10.7937/TCIA.2018.ow6ce3ml)
2. [Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor](https://doi.org/10.7937/K9/TCIA.2014.FAB7YRPZ)
## v5 - December 2021
New collections:
* [COVID-19-NY-SBU](https://dx.doi.org/10.7937/TCIA.BBAG-2923)
* [B-mode-and-CEUS-Liver](https://dx.doi.org/10.7937/TCIA.2021.v4z7-tc39)
* [APOLLO-5-LSCC](https://dx.doi.org/10.7937/TCIA.QQ0G-EB24)
* [CMMD](https://dx.doi.org/10.7937/tcia.eqde-4b16)
* [ACRIN-HNSCC-FDG-PET-CT](https://dx.doi.org/10.7937/K9/TCIA.2016.JQEJZZNG)
* [Duke-Breast-Cancer-MRI](https://dx.doi.org/10.7937/TCIA.e3sv-re93)
New analysis results collections:
* Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor ([GBM-MR-NER-Outcomes](https://dx.doi.org/10.7937/K9/TCIA.2014.FAB7YRPZ))
* DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets ([DICOM-Glioma-SEG](https://dx.doi.org/10.7937/TCIA.2018.ow6ce3ml))
Updated collections:
* [TCGA-GBM](https://dx.doi.org/10.7937/K9/TCIA.2014.FAB7YRPZ)
* [TCGA-LGG](https://dx.doi.org/10.7937/TCIA.2018.ow6ce3ml)
* [QIN-HEADNECK](https://dx.doi.org/10.7937/K9/TCIA.2015.K0F5CGLI)
* [Breast-Cancer-Screening-DBT](https://dx.doi.org/10.7937/e4wt-cd02)
* [NSCLC Radiogenomics](https://dx.doi.org/10.7937/K9/TCIA.2017.7hs46erv)
* [QIN-HEADNECK](https://dx.doi.org/10.7937/K9/TCIA.2015.K0F5CGLI)
* [Pseudo-PHI-DICOM-Data](https://dx.doi.org/10.7937/s17z-r072)
## v4 - September 2021
[National Lung Screening Trial (NLST) collection](https://doi.org/10.7937/tcia.hmq8-j677) is added. The data included consists of the following components:
1\) CT images available as any other imaging collection (via IDC Portal, BigQuery metadata tables, and storage buckets);
2\) a subset of clinical data available in the BigQuery tables starting with `nlst_` under the `idc_v4` dataset, as documented in the [Collection-specific BigQuery Tables](https://learn.canceridc.dev/data/organization-of-data/files-and-metadata) section.
3\) One instance is missing from patient/study/series:\
`126153/1.2.840.113654.2.55.319335498043274792486636919135185299851/1.2.840.113654.2.55.262421043240525317038356381369289737801`
4\) Three instances are missing from patient/study/series:\
`215303/1.3.6.1.4.1.14519.5.2.1.7009.9004.337968382369511017896638591276/1.3.6.1.4.1.14519.5.2.1.7009.9004.180224303090109944523368212991`
## v3 - August 2021
The following radiology collections were updated to include DICOM Slide Microscopy (SM) images converted from the original vendor-specific representation into [dual personality DICOM-TIFF format](https://learn.canceridc.dev/dicom/dicom-tiff-dual-personality-files).
1. [CPTAC-LUAD](https://doi.org/10.7937/K9/TCIA.2018.PAT12TBS)
2. [CPTAC-LSCC](https://doi.org/10.7937/K9/TCIA.2018.6EMUB5L2)
{% hint style="warning" %}
The DICOM Slide Microscopy (SM) images included in the collections above in IDC are not available in TCIA. TCIA only includes images in the vendor-specific SVS format!
{% endhint %}
## v2 - June 2021
Listed below are all of the [original](https://www.cancerimagingarchive.net/collections/) and [analysis results](https://www.cancerimagingarchive.net/tcia-analysis-results/) collections of [The Cancer Imaging Archive](https://www.cancerimagingarchive.net) currently hosted by IDC, with the links to the Digital Object Identifiers (DOIs) of those collections.
New original collections:
1. [IvyGAP](https://doi.org/10.7937/K9/TCIA.2016.XLwaN6nL)
2. [QIN LUNG CT](https://doi.org/10.7937/K9/TCIA.2015.NPGZYZBZ)
3. [LungCT-Diagnosis](https://doi.org/10.7937/K9/TCIA.2015.A6V7JIWX)
4. [HEAD-NECK-RADIOMICS-HN1](https://doi.org/10.7937/tcia.2019.8kap372n)
5. [Prostate Fused-MRI-Pathology](https://doi.org/10.7937/K9/TCIA.2016.TLPMR1AM)
6. [APOLLO](https://wiki.cancerimagingarchive.net/x/N4NyAQ)
7. [LGG-1p19qDeletion](https://doi.org/10.7937/K9/TCIA.2017.dwehtz9v)
8. [Soft-tissue-Sarcoma](https://doi.org/10.7937/K9/TCIA.2015.7GO2GSKS)
9. [NSCLC-Radiomics-Genomics](https://doi.org/10.7937/K9/TCIA.2015.L4FRET6Z)
10. [Brain-Tumor-Progression](https://doi.org/10.7937/K9/TCIA.2018.15quzvnb)
11. [Head-Neck Cetuximab](https://doi.org/10.7937/K9/TCIA.2015.7AKGJUPZ)
12. [CPTAC-GBM](https://doi.org/10.7937/K9/TCIA.2018.3RJE41Q1)
13. [CPTAC-SAR](https://doi.org/10.7937/TCIA.2019.9bt23r95)
14. [CPTAC-LUAD](https://doi.org/10.7937/K9/TCIA.2018.PAT12TBS)
15. [CPTAC-LSCC](https://doi.org/10.7937/K9/TCIA.2018.6EMUB5L2)
16. [Head-Neck-PET-CT](https://doi.org/10.7937/K9/TCIA.2017.8oje5q00)
17. [C4KC-KiTS](https://doi.org/10.7937/TCIA.2019.IX49E8NX)
18. [Breast-MRI-NACT-Pilot](https://doi.org/10.7937/K9/TCIA.2016.QHSYHJKY)
19. [4D-Lung](https://doi.org/10.7937/K9/TCIA.2016.ELN8YGLE)
20. [Mouse-Mammary](https://doi.org/10.7937/K9/TCIA.2015.9P42KSE6)
21. [CT Lymph Nodes](https://doi.org/10.7937/K9/TCIA.2015.AQIIDCNM)
22. [HNSCC](https://doi.org/10.7937/k9/tcia.2020.a8sh-7363)
23. [Breast-Cancer-Screening-DBT](https://doi.org/10.7937/e4wt-cd02)
24. [MRI-DIR](https://doi.org/10.7937/K9/TCIA.2018.3f08iejt)
25. [Lung-PET-CT-Dx](https://doi.org/10.7937/TCIA.2020.NNC2-0461)
26. [NSCLC-RADIOMICS-INTEROBSERVER1](https://doi.org/10.7937/tcia.2019.cwvlpd26)
27. [PDMR-BL0293-F563](https://doi.org/10.7937/tcia.2019.b6u7wmqw)
28. [CT COLONOGRAPHY](https://doi.org/10.7937/K9/TCIA.2015.NWTESAY1)
29. [Phantom FDA](https://doi.org/10.7937/K9/TCIA.2015.ORBJKMUX)
30. [QIN-PROSTATE-Repeatability](https://doi.org/10.7937/K9/TCIA.2018.MR1CKGND)
31. [PROSTATEx](https://doi.org/10.7937/K9TCIA.2017.MURS5CL)
32. [AAPM-RT-MAC](https://doi.org/10.7937/tcia.2019.bcfjqfqb)
33. [ICDC-Glioma](https://doi.org/10.7937/TCIA.SVQT-Q016)
34. [RIDER Breast MRI](https://doi.org/10.7937/K9/TCIA.2015.H1SXNUXL)
35. [Anti-PD-1\_MELANOMA](https://doi.org/10.7937/tcia.2019.1ae0qtcu)
36. [COVID-19-AR](https://doi.org/10.7937/tcia.2020.py71-5978)
37. [PROSTATE-MRI](https://doi.org/10.7937/K9/TCIA.2016.6046GUDv)
38. [NaF PROSTATE](https://doi.org/10.7937/K9/TCIA.2015.ISOQTHKO)
39. [Mouse-Astrocytoma](https://doi.org/10.7937/K9TCIA.2017.SGW7CAQW)
40. [ACRIN-DSC-MR-Brain](https://doi.org/10.7937/tcia.2019.zr1pjf4i)
41. [ACRIN-NSCLC-FDG-PET](https://doi.org/10.7937/tcia.2019.30ilqfcl)
42. [QIN Breast DCE-MRI](https://doi.org/10.7937/K9/TCIA.2014.A2N1IXOX)
43. [RIDER NEURO MRI](https://doi.org/10.7937/K9/TCIA.2015.VOSN3HN1)
44. [MIDRC-RICORD-1A](https://doi.org/10.7937/VTW4-X588)
45. [MIDRC-RICORD-1C](https://doi.org/10.7937/91ah-v663)
46. [REMBRANDT](https://doi.org/10.7937/K9/TCIA.2015.588OZUZB)
47. [NSCLC Radiogenomics](https://doi.org/10.7937/K9/TCIA.2017.7hs46erv)
48. [HNSCC-3DCT-RT](https://doi.org/10.7937/K9/TCIA.2018.13upr2xf)
49. [VICTRE](https://doi.org/10.7937/TCIA.2019.ho23nxaw)
50. [CPTAC-CM](https://doi.org/10.7937/K9/TCIA.2018.ODU24GZE)
51. [CPTAC-PDA](https://doi.org/10.7937/K9/TCIA.2018.SC20FO18)
52. [CPTAC-UCEC](https://doi.org/10.7937/K9/TCIA.2018.3R3JUISW)
53. [CPTAC-CCRCC](https://doi.org/10.7937/K9/TCIA.2018.OBLAMN27)
54. [CPTAC-HNSCC](https://doi.org/10.7937/K9/TCIA.2018.UW45NH81)
55. [OPC-Radiomics](https://doi.org/10.7937/tcia.2019.8dho2gls)
56. [Vestibular-Schwannoma-SEG](https://doi.org/10.7937/TCIA.9YTJ-5Q73)
57. [SPIE-AAPM Lung CT Challenge](https://doi.org/10.7937/K9/TCIA.2015.UZLSU3FL)
58. [Lung Phantom](https://doi.org/10.7937/K9/TCIA.2015.08A1IXOO)
59. [Pseudo-PHI-DICOM-Data](https://doi.org/10.7937/s17z-r072)
60. [Pancreas-CT](https://doi.org/10.7937/K9/TCIA.2016.tNB1kqBU)
61. [QIN GBM Treatment Response](https://doi.org/10.7937/K9/TCIA.2016.nQF4gpn2)
62. [Pelvic-Reference-Data](https://doi.org/10.7937/TCIA.2019.woskq5oo)
63. [Lung-Fused-CT-Pathology](https://doi.org/10.7937/K9/TCIA.2018.SMT36LPN)
64. [Anti-PD-1\_Lung](https://doi.org/10.7937/tcia.2019.zjjwb9ip)
65. [BREAST-DIAGNOSIS](https://doi.org/10.7937/K9/TCIA.2015.SDNRQXXR)
66. [RIDER Lung PET-CT](https://doi.org/10.7937/K9/TCIA.2015.OFIP7TVM)
67. [RIDER Lung CT](https://doi.org/10.7937/K9/TCIA.2015.U1X8A5NR)
68. [PDMR-292921-168-R](https://doi.org/10.7937/TCIA.2020.PCAK-8Z10)
69. [PDMR-833975-119-R](https://doi.org/10.7937/TCIA.0ECK-C338)
70. [PDMR-997537-175-T](https://doi.org/10.7937/TCIA.2020.BRY9-4N29)
71. [LCTSC](https://doi.org/10.7937/K9/TCIA.2017.3r3fvz08)
72. [Prostate-3T](https://doi.org/10.7937/K9/TCIA.2015.QJTV5IL5)
73. [ACRIN-FLT-Breast](https://doi.org/10.7937/K9/TCIA.2017.ol20zmxg)
74. [ACRIN-FMISO-Brain](https://doi.org/10.7937/K9/TCIA.2018.vohlekok)
75. [PDMR-425362-245-T](https://doi.org/10.7937/TCIA.2020.7YRS-7J97)
76. [Prostate-MRI-US-Biopsy](https://doi.org/10.7937/TCIA.2020.A61IOC1A)
77. [MIDRC-RICORD-1B](https://doi.org/10.7937/31V8-4A40)
78. [DRO-Toolkit](https://doi.org/10.7937/t062-8262)
New analysis results collections:
1. [PROSTATEx Zone Segmentations](https://doi.org/10.7937/tcia.nbb4-4655)
2. [High Resolution Prostate Segmentations for the ProstateX-Challenge](https://doi.org/10.7937/TCIA.2019.DEG7ZG1U)
3. [RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach](https://doi.org/10.7937/tcia.2020.jit9grk8)
## v1 - October 2020
Listed below are all of the [original](https://www.cancerimagingarchive.net/collections/) and [analysis results](https://www.cancerimagingarchive.net/tcia-analysis-results/) collections of [The Cancer Imaging Archive](https://www.cancerimagingarchive.net) currently hosted by IDC, with the links to the Digital Object Identifiers (DOIs) of those collections.
Original collections included:
1. [TCGA-PRAD](https://doi.org/10.7937/K9/TCIA.2016.YXOGLM4Y)
2. [TCGA-BLCA](https://doi.org/10.7937/K9/TCIA.2016.8LNG8XDR)
3. [TCGA-UCEC](https://doi.org/10.7937/K9/TCIA.2016.GKJ0ZWAC)
4. [TCGA-HNSC](https://doi.org/10.7937/K9/TCIA.2016.LXKQ47MS)
5. [TCGA-LUSC](https://doi.org/10.7937/K9/TCIA.2016.TYGKKFMQ)
6. [TCGA-KIRP](https://doi.org/10.7937/K9/TCIA.2016.ACWOGBEF)
7. [TCGA-THCA](https://doi.org/10.7937/K9/TCIA.2016.9ZFRVF1B)
8. [TCGA-SARC](https://doi.org/10.7937/K9/TCIA.2016.CX6YLSUX)
9. [TCGA-ESCA](https://doi.org/10.7937/K9/TCIA.2016.VPTNRGFY)
10. [TCGA-CESC](https://doi.org/10.7937/K9/TCIA.2016.SQ4M8YP4)
11. [TCGA-STAD](https://doi.org/10.7937/K9/TCIA.2016.GDHL9KIM)
12. [TCGA-COAD](https://doi.org/10.7937/K9/TCIA.2016.HJJHBOXZ)
13. [TCGA-KICH](https://doi.org/10.7937/K9/TCIA.2016.YU3RBCZN)
14. [TCGA-READ](https://doi.org/10.7937/K9/TCIA.2016.F7PPNPNU)
15. [TCGA-LUAD](https://doi.org/10.7937/K9/TCIA.2016.JGNIHEP5)
16. [TCGA-LIHC](https://doi.org/10.7937/K9/TCIA.2016.IMMQW8UQ)
17. [TCGA-BRCA](https://doi.org/10.7937/K9/TCIA.2016.AB2NAZRP)
18. [TCGA-OV](https://doi.org/10.7937/K9/TCIA.2016.NDO1MDFQ)
19. [TCGA-KIRC](https://doi.org/10.7937/K9/TCIA.2016.V6PBVTDR)
20. [TCGA-LGG](https://doi.org/10.7937/K9/TCIA.2016.L4LTD3TK)
21. [TCGA-GBM](https://doi.org/10.7937/K9/TCIA.2016.RNYFUYE9)
22. [ISPY1 (ACRIN 6657)](https://doi.org/10.7937/K9/TCIA.2016.HdHpgJLK)
23. [QIN-HeadNeck](https://doi.org/10.7937/K9/TCIA.2015.K0F5CGLI)
24. [LIDC-IDRI](https://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX)
25. [NSCLC-Radiomics](https://wiki.cancerimagingarchive.net/display/Public/NSCLC-Radiomics)
Analysis collections included:
1. [Standardized representation of the TCIA LIDC-IDRI annotations using DICOM](https://doi.org/10.7937/TCIA.2018.h7umfurq)
2. [QIN multi-site collection of Lung CT data with Nodule Segmentations](https://doi.org/10.7937/K9/TCIA.2015.1BUVFJR7) (only items corresponding to the LIDC-IDRI original collection are included)
3. [DICOM SR of clinical data and measurement for breast cancer collections to TCIA](https://doi.org/10.7937/TCIA.2019.wgllssg1) (only items corresponding to the ISPY1 original collection are included)