CPTAC-SAR
The Clinical Proteomic Tumor Analysis Consortium Sarcomas Collection (CPTAC-SAR)
Standard-of-care CT, MRI and PET of 24 patients and 300 whole-slide pathology images of 88 patients from the NCI CPTAC sarcoma cohort, linked by patient ID to proteomic, genomic and clinical data in the NCI data commons.
Overview
CPTAC-SAR is the imaging arm of the sarcoma cohort of the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium. The Cancer Imaging Archive gathers the radiology and pathology images of CPTAC patients so that imaging features can be studied alongside the proteomic, genomic and clinical data of the same people. Patient IDs are shared with the other CPTAC databases. The first version appeared in March 2019; the current version 10 dates from May 2023.
Composition
The collection snapshot lists 88 subjects and 87.2 GB. The radiology set covers 24 subjects with 33 studies, 265 DICOM series and 29,595 images (15.2 GB). The pathology set holds 300 whole-slide images in SVS format from 88 subjects (72 GB). In the series metadata, 18 radiology subjects have CT, 11 have MRI and 2 have PET. The listed body regions range from the limbs, chest and abdomen to the retroperitoneum, bladder, uterus, head and neck, reflecting where the sarcomas arose.
Acquisition
Radiology is routine clinical imaging taken shortly before the pathological diagnosis, plus follow-up scans where available, so scanners and protocols vary. The series metadata names GE, Siemens and Philips systems. Slides come from the CPTAC tissue qualification workflow. Contributing sites include Cureline, BioPartners and the University of Pittsburgh Medical Center. DICOM dates are shifted by a random offset, and DICOM tag (0012,0050) gives each scan's distance in days from the pathological diagnosis.
Known limitations
- Only 24 of the 88 subjects have radiology; the rest contribute pathology slides only.
- Imaging differs in modality, scanner and protocol, and follow-up coverage differs per patient.
- The collection has no image annotations.
- Clinical and molecular data are not part of the TCIA download and must be obtained from the NCI data commons.
- Versions up to 4 were released under CC BY 3.0; the current release is labeled CC BY 4.0.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 88 subjects.
Modality
subjects
- Pathology slides 88 100%
- CT 18 20%
- MRI 11 13%
- PET 2 2%
Scanner vendor
subjects
- GE HealthCare 15 17%
- Siemens Healthineers 5 6%
- Philips 3 3%
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). (2019). The Clinical Proteomic Tumor Analysis Consortium Sarcomas Collection (CPTAC-SAR) (Version 10) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/tcia.2019.9bt23r95. 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 subjects in the collection snapshot, radiology and pathology | 88 | tcia-cptac-sar Collection Snapshot |
| Subjects | modality=SM subjects with tissue slide images | 88 | tcia-cptac-sar Data Access (Version 10) |
| Slides | total SVS tissue slide images | 300 | tcia-cptac-sar Data Access (Version 10) |
| Studies | total radiology only | 33 | tcia-cptac-sar Data Access (Version 10) |
| Scans | total DICOM series | 265 | tcia-cptac-sar Data Access (Version 10) |
| Images | total DICOM images | 29,595 | tcia-cptac-sar Data Access (Version 10) |
| Subjects | modality=CT radiology subset (24 subjects) | 18 | tcia-cptac-sar-series PatientID, Modality fields |
| Subjects | modality=MR radiology subset (24 subjects) | 11 | tcia-cptac-sar-series PatientID, Modality fields |
| Subjects | modality=PT radiology subset (24 subjects) | 2 | tcia-cptac-sar-series PatientID, Modality fields |
| Subjects | vendor=ge radiology subset; recorded as GE MEDICAL SYSTEMS | 15 | tcia-cptac-sar-series PatientID, Manufacturer fields |
| Subjects | vendor=siemens radiology subset | 5 | tcia-cptac-sar-series PatientID, Manufacturer fields |
| Subjects | vendor=philips radiology subset | 3 | tcia-cptac-sar-series PatientID, Manufacturer fields |
Sources
The keys used in the table above.
- tcia-cptac-sar TCIA CPTAC-SAR collection page (version 10, updated 2023/05/10) website
- tcia-cptac-sar-series TCIA NBIA series metadata for CPTAC-SAR (open API, every record licensed CC BY 4.0), counted per unique PatientID computed