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Portal release notes
The version of the portal is shown at the bottom of the portal page. The semantics of the version is the following:
canceridc.<date of webapp deployment in YYYYMMDDHHMM>.<first 6 characters of the commit hash>,
where revision hash corresponds to that of the IDC WebApp repo.

9.0 - May 19, 2022 (canceridc.202205191051)

Main highlights of this release include:
  • Ability to select specific Analysis Results collections with segmentation and radiomic features
  • Text boxes added to the slider panels to allow the user to input upper and lower slider bounds
  • Pie chart tooltips updated to improve viewability

8.0 - April 4, 2022 (canceridc.202204050856.2920c81)

Main highlights of this release include:
  • Eleven new collections added
  • Number of cases, studies, and series in a cohort are reported in the filter de finition
  • On the Exploration page the Access attribute is placed in the Search Scope
  • On the Exploration page users are warned when they create a cohort that includes Limited Access collections
  • Series Instance UID is reported in the Selected Series table

7.0 - February 7, 2022 (canceridc.202202071117.164252a)

Main highlights of this release include:
  • The BigQuery query string corresponding to a cohort can now be displayed in user-readable format by pressing a button on either the cohort or cohort list pages
  • On the exploration page collections can now be sorted alphabetically or by the number of cases. Selected cases are ordered at the top of the collection list
  • Table rows can be selected by clicking anywhere within the row, not just on the checkbox
  • The BigQuery export cohort manifest includes the IDC data version as an optional column

6.0 - January 10, 2022 (canceridc.202201101504.eb0e309)

Main highlights of this release include:
  • Collections which have limited access are now denoted as such in the Collection tab on the Exploration page
  • Links to image files belonging to limited collections have been removed from the Studies and Series tables on the Exploration page
  • The quota of image file data that can be served per user per day has been reduced from 137 to 40 GB

5.0 - December 9, 2021 (canceridc.202112091128.eb0e309)

Main highlights of this release include:
  • New attributes including Manufacturer, Manufacturer Model Name, and Slice Thickness added
  • Checked attribute values are now shown at the top of the attribute value lists
  • Ability to search by CaseID added to the Selected Cases table
  • Ability to search by StudyID added to the Selected Studies table
  • Study Date added to the Studies Table
  • Changed the persistence of the StudyID tooltip in the tables so that the StudyID can be copied from the tooltip
  • Specific columns can now be selected in the BigQuery cohort export

2.1.0 - August 2021 (canceridc.202108261153.70f59e0)

The Imaging Data Commons Explore Image Data portal is a platform that allows users to explore, filter, create cohorts, and view image studies and series using cutting-edge technology viewers.
Main highlights of this release include:
  • Support for slide microscopy series from the CPTAC-LSCC and CPTAC-LUAD collections is now included.
  • The Slim viewer is now configured to view slide microscopy series
  • Search boxes are included for very attribute to search for specific attribute values by name.

2.0.0 - June 2021 - (canceridc.202106250849.876f912)

The Imaging Data Commons Explore Image Data portal is a platform that allows users to explore, filter, create cohorts, and view image studies and series using cutting-edge technology viewers.
Main highlights of this release include:
  • 112 data collections are now included
  • Cohort data version is reported
  • Cohort statistics - ie the number the cases, studies, and series per cohort are now reported
  • Mechanism included to update a version cohort
  • Species Attribute is included
  • Checkbox and plus/minus icons are now used to select table rows

1.3.0 - March 2021 (canceridc.202103011131.27ce3b3)

The Imaging Data Commons Explore Image Data portal is a platform that allows users to explore, filter, create cohorts, and view image studies and series using cutting-edge technology viewers.
Main highlights of this release include:
  • The user details page will no longer return a 500 error when selected
  • Sorting of studies panel is now active for all fields
  • Re-sending of an unreceived verification email is now more clearly explained.
  • IDC identity login header and column selection is disabled for the exportation of a cohort manifest to BigQuery
  • Detailed information panel added to efficiently describe why some pie charts have multiple facets even when a filter is selected
  • Cohort manifest export popup can be scrolled down
  • Use of Shift or Control (Command for Mac) selection of studies will now behave as expected: Shift-select for a contiguous series of rows, Control/Command-select for individual rows.
  • All filter selections are now sorted by alphabetical characters

1.2.0 - January 2021 (canceridc.202101111506.0a8af57)

The Imaging Data Commons Explore Image Data portal is a platform that allows users to explore, filter, create cohorts, and view image studies and series using cutting-edge technology viewers.
Main highlights of this release include:
  • Consistent number of files will be returned between the portal and BigQuery
  • When the user clicks a non-gov link a popup will appear
  • Cohort manifest export information now has clickable URLs to take you to the BigQuery console
  • Collections list displays by default 100 entries
  • Any empty search criteria is now highlighted in grey and no data will be listed
  • The user will no longer need to scroll to see search criteria in the left search configuration panel
  • Portal footer is now in compliance with NCI requirements
  • Check/uncheck in the collections panel added for collection TCGA

1.1.0 - December 2020 (canceridc.202012091728.674fff0)

The Imaging Data Commons Explore Image Data portal is a platform that allows users to explore, filter, create cohorts, and view image studies and series using cutting-edge technology viewers.
Main highlights of this release include:
  • Case-level table is added to the portal
  • Cohorts can now be exported into BigQuery tables using the Export Cohort Manifest button
  • Cohorts less than 650k rows can now be downloaded as a multipart file. Cohorts larger that 600k rows can only be be exported to BigQuery (for users that are logged in with Google Accounts)
  • Quantitative filter ranges are updated dynamically with the updates to filter selection
  • Pie charts will display "No data available" message when zero cases are returned for the given filter selection
  • RTPLAN and Real World Mapping Attribute values are now disabled at the series level, since they cannot be visualized in the IDC Viewer
  • Various bug fixes in both the IDC Portal and IDC Viewer

1.0.0 - October 2020 (canceridc.202010190226.4e8597)

The Imaging Data Commons Explore Image Data portal is a platform that allows users to explore, filter, create cohorts, and view image studies and series using cutting-edge technology viewers.
Main features in this initial release include:
  • The ability to search for data in BigQuery and Solr
  • The ability to search by multiple attributes:
    • Collection
    • Original attributes e.g., Modality
    • Derived attributes e.g., Segmentations
    • Qualitative analysis e.g., Lobular pattern
    • Quantitative analysis e.g., Volume
    • related attributes e.g., Country
  • Display of collections results in a tabular format with the following information:
    • Collection Name
    • Total Number of Cases
    • Number of Cases(this cohort)
  • Display of the Selected Studies results in tabular format with the following information:
    • Project Name
    • Case ID
    • Study ID
    • Study Description
  • Display of the Selected Series results in tabular format with the following information:
    • Study ID
    • Series Number
    • Modality
    • Body Part Examined
    • Series Description
  • The ability to hide attributes with zero cases present
  • The ability to save cohorts
  • The ability to download the manifest of any cohort created
  • The ability to promote, filter, and load multiple series instances in the OHIF viewer