Localtab |
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active | true |
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title | Data Access |
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| Data Type | Download all or Query/Filter | License |
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Images (DICOM, 39.8 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/30671232/TCIA-CPTAC-GBM_v12_20200331.tcia?version=1&modificationDate=1585671082950&api=v2 |
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Tcia button generator |
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label | Search |
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url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=CPTAC-GBM |
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(Download requires the NBIA Data Retriever) | | Tissue Slide Images (SVS, 87 GB) |
Tcia button generator |
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url | https://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/24?passcode=1e867885ccc05efb745255d778d573262d46101d |
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Tcia button generator |
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label | Search |
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url | https://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Image_Available%22:%5B%22Yes%22%5D,%22Tumor%22:%5B%22GBM%22%5D} |
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Click the Versions tab for more info about data releases. The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data. TCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection: |
Localtab |
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title | Detailed Description |
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| | Pathology Image Statistics |
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Modalities | CR, CT, MR, SC | Pathology | Number of Participants | 66 | 189 | Number of Studies | 164 | N/A | Number of Series | 1,771 | N/A | Number of Images | 156,493 | 510 | Images Size (GB) | 39.8 | 112 |
All CPTAC cohorts are released as either a single combined cohort, or split into Discovery and Confirmatory where applicable. In the case of CPTAC-GBM there was a "Discovery Cohort" release. Images associated with these cases can be downloaded using the following links: To access/download the clinical data on the Proteomic Data Commons (PDC) and Genomic Data Commons (GDC), once you have identified the data of your interest, move to the 'Clinical' tab on the browse page. Select the checkbox to select a specific row, all rows on the page or all pages and click the export clinical manifest button in CSV or TSV format on the GDC, or TSV or JSON format on the PDC. Subject Identifiers: A subject with radiology and pathology images stored in TCIA is identified with a de-identified project Patient ID that is identical to the Patient ID of the same subject with clinical, proteomic, and/or genomic data stored in other CPTAC databases and web sites. Dates: The radiology imaging data is in DICOM format. To provide temporal context information aligned with events in the clinical data set for each patient, TCIA has inserted information in DICOM tag (0012,0050) Clinical Trial Time Point ID. This DICOM tag contains the number of days from the date the patient was initially diagnosed pathologically with the disease to the date of the scan. E.g. a scan acquired 3 days before the diagnosis would contain the value -3. A follow up scan acquired 90 days after diagnosis would contain the value 90. The DICOM date tags (be they birth dates, imaging study dates, etc.) are modified per TCIA's standard process which offsets them by a random number of days. The offset is a number of days between 3 and 10 years prior to the real date that is consistent for each TCIA image-submitting site and collection, but that varies among sites and among collections from the same site. Thus, the number of days between a subject’s longitudinal imaging studies are accurately preserved when more than one study has been archived while still meeting HIPAA requirements. |
Localtab |
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title | Citations & Data Usage Policy |
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| Tcia limited license policy |
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Info |
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| National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). (2018). The Clinical Proteomic Tumor Analysis Consortium Glioblastoma Multiforme Collection (CPTAC-GBM) (Version 13) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2018.3RJE41Q1 |
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| The CPTAC program requests that publications using data from this program include the following statement: “Data used in this publication were generated by the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC).” |
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| Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 |
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Localtab |
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| Data Type | Download all or Query/Filter |
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Images (DICOM, 39.8 GB) | | Tissue Slide Images (SVS, 112 GB) | | Clinical Data API (JSON - more info) | | Proteomics (web) | |
Changed to new Aspera download link for histopathology slides. Data Type | Download all or Query/Filter |
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Images (DICOM, 39.8 GB) | | Tissue Slide Images (SVS, 112 GB) | | Clinical Data API (JSON - more info) | | Proteomics (web) | |
Corrected 1 radiology subject cancer type, and added 3 radiology subjects.
Data Type | Download all or Query/Filter |
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Images (DICOM, 39.4 GB) | | Tissue Slide Images (SVS, 112 GB) | | Clinical Data (CSV) | Coming Soon | Proteomics (web) | |
Added 8 new pathology subjects & 37 new pathology slides
Data Type | Download all or Query/Filter |
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Images (DICOM, 39.4 GB) | | Tissue Slide Images (SVS, 87 GB) | | Clinical Data (CSV) | Coming Soon | Proteomics (web) | |
Added 5 new radiology and 2 pathology subjects
Data Type | Download all or Query/Filter |
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Images (DICOM, 38.7 GB) | | Tissue Slide Images (SVS, 87 GB) | | Clinical Data (CSV) | Coming Soon | Proteomics (web) | |
Added new subjects
Data Type | Download all or Query/Filter |
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Images (DICOM, 38.7 GB) | | Tissue Slide Images (SVS, 79 GB) | | Clinical Data (CSV) | Coming Soon | Proteomics (web) | |
Added new subjects
Data Type | Download all or Query/Filter |
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Images (DICOM, 36.1 GB) | | Tissue Slide Images (SVS, 52.3 GB) | | Clinical Data (CSV) | Coming Soon | Proteomics (web) | |
Added new subjects
Data Type | Download all or Query/Filter |
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Images (DICOM, 21.2 GB) | | Tissue Slide Images (web) | | Clinical Data (CSV) | Coming Soon | Proteomics (web) | |
Added new subjects
Data Type | Download all or Query/Filter |
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Images (DICOM, 20.8 GB) | | Tissue Slide Images (web) | | Proteomics (web) | |
Added new subjects.
Data Type | Download all or Query/Filter |
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Images (DICOM, 19.2 GB) | | Tissue Slide Images (web) | | Proteomics (web) | |
Added new subjects.
Data Type | Download all or Query/Filter |
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Images (DICOM, 12.9 GB) | | Tissue Slide Images (web) | | Proteomics (web) | |
Added new subjects.
Data Type | Download all or Query/Filter |
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Images (DICOM, 12.4 GB) | | Tissue Slide Images (web) | | Proteomics (web) | |
Added new subjects.
Data Type | Download all or Query/Filter |
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Images (DICOM, 10.42 GB) | | Tissue Slide Images (web) | | Proteomics (web) | |
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