CPTAC-CCRCC
The Clinical Proteomic Tumor Analysis Consortium Clear Cell Renal Cell Carcinoma Collection (CPTAC-CCRCC)
Standard-of-care CT and MRI and whole-slide pathology images of 262 patients from the NCI CPTAC clear cell renal cell carcinoma cohort, linked by patient ID to proteomic, genomic and clinical data in the NCI data commons.
Overview
CPTAC-CCRCC is the imaging arm of the clear cell renal cell carcinoma cohort of the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium. The Cancer Imaging Archive collects the radiology and pathology images of CPTAC patients so that imaging features can be studied next to the proteomic, genomic and clinical data of the same people. Patient IDs match those used in the Proteomic Data Commons and Genomic Data Commons. The collection was first released in January 2018 and has grown over 14 versions, the latest in July 2025.
Composition
The collection page lists 262 subjects across radiology and pathology. The ccRCC radiology set holds 65 subjects with 85 studies, 727 DICOM series and 99,098 images. The ccRCC pathology set holds 783 whole-slide images in SVS format from 222 subjects. A separate group of non-ccRCC and rare kidney tumors adds radiology for 6 subjects (12 studies, 139 series) and 128 slides from 39 subjects. In the ccRCC radiology metadata, 59 subjects have CT and 10 have MRI. A subset of 32 patients forms the radiology "Discovery Cohort" linked to the consortium's proteogenomic publication. Total download size is 280.22 GB.
Acquisition
Radiology is routine clinical imaging taken shortly before the pathological diagnosis, plus follow-up scans where they exist. Scanners, vendors and protocols therefore vary: the ccRCC radiology metadata lists GE, Siemens, Philips and Toshiba systems, mostly abdominal CT. Slides come from the CPTAC tissue qualification workflow. Contributing sites include hospitals and biobanks in the United States and Poland. DICOM dates are shifted, and a DICOM tag gives each scan's offset in days from the pathological diagnosis.
Annotations
The collection itself has no image labels. Tumor annotations made later are published as the separate TCIA analysis result CPTAC-CCRCC-Tumor-Annotations.
Known limitations
- Only a minority of the 262 subjects have radiology; most contribute pathology slides only.
- Imaging is heterogeneous in modality, scanner and protocol, and the number of follow-up scans differs by patient.
- Clinical and molecular data are not part of the TCIA download and must be exported from the data commons.
- The collection page labels the current release CC BY 4.0, while earlier versions and the metadata files name CC BY 3.0.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 262 subjects.
Modality
subjects
- Pathology slides 222 85%
- CT 59 23%
- MRI 10 4%
Scanner vendor
subjects
- GE HealthCare 28 11%
- Siemens Healthineers 28 11%
- Philips 8 3%
- Canon Medical 4 2%
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Download without an account
DICOM radiology is downloaded with the TCIA Data Retriever from a manifest file, slides through IBM Aspera. No account is needed. Clinical, proteomic and genomic data are in the Proteomic and Genomic Data Commons.
Creative Commons Attribution 4.0 International
Use, share and adapt the data for any purpose, including commercial use, as long as you credit the creators.
What you can do
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- Yes
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). (2018). The Clinical Proteomic Tumor Analysis Consortium Clear Cell Renal Cell Carcinoma Collection (CPTAC-CCRCC) (Version 14) [dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/k9/tcia.2018.oblamn27. Acknowledgement: "Data used in this publication were generated by the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC)."
All numbers
Every number on this page, as stored in stats.csv, with its source.
| Measure | Breakdown | Value | Source |
|---|---|---|---|
| Subjects | total all subjects in the collection, radiology and pathology | 262 | tcia-cptac-ccrcc Summary table |
| Subjects | modality=SM subjects with ccRCC tissue slide images | 222 | tcia-cptac-ccrcc Data Access (Version 14) |
| Slides | total 783 ccRCC slides plus 128 non-ccRCC or rare kidney tumor slides (39 subjects), summed | 911 | tcia-cptac-ccrcc Data Access (Version 14) |
| Subjects | modality=CT ccRCC radiology subset (65 subjects) only | 59 | tcia-cptac-ccrcc-digest Patient ID, Modality columns |
| Subjects | modality=MR ccRCC radiology subset (65 subjects) only | 10 | tcia-cptac-ccrcc-digest Patient ID, Modality columns |
| Studies | total radiology only (pathology has no studies): 85 ccRCC plus 12 non-ccRCC or rare kidney tumor radiology studies, summed | 97 | tcia-cptac-ccrcc Data Access (Version 14) |
| Scans | total DICOM series: 727 ccRCC plus 139 non-ccRCC or rare kidney tumor, summed | 866 | tcia-cptac-ccrcc Data Access (Version 14) |
| Images | total DICOM images: 99,098 ccRCC plus 14,261 non-ccRCC or rare kidney tumor, summed | 113,359 | tcia-cptac-ccrcc Data Access (Version 14) |
| Subjects | vendor=ge ccRCC radiology subset only | 28 | tcia-cptac-ccrcc-digest Patient ID, Manufacturer columns |
| Subjects | vendor=siemens ccRCC radiology subset only | 28 | tcia-cptac-ccrcc-digest Patient ID, Manufacturer columns |
| Subjects | vendor=philips ccRCC radiology subset only | 8 | tcia-cptac-ccrcc-digest Patient ID, Manufacturer columns |
| Subjects | vendor=canon ccRCC radiology subset only, recorded as TOSHIBA | 4 | tcia-cptac-ccrcc-digest Patient ID, Manufacturer columns |
Sources
The keys used in the table above.
- tcia-cptac-ccrcc TCIA CPTAC-CCRCC collection page (version 14, updated 2025/07/07) website
- tcia-cptac-ccrcc-digest TCIA CPTAC-CCRCC radiology metadata digest (TCIA-CPTAC-CCRCC_v11_20230818-nbia-digest.xlsx, open download), counted per unique Patient ID computed