Localtab |
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active | true |
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title | Data Access |
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| Data Access
Click the Versions tab for more info about data releases. Third Party Analyses of this DatasetTCIA 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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| Detailed Description
| | 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 |
A Note about TCIA and CPTAC Subject Identifiers and DatesSubject 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number of days between a subject’s longitudinal imaging studies are accurately preserved when more than one study has been archived while still meeting HIPAA requirements.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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| Citations & Data Usage Policy Users of this data must abide by the Creative Commons Attribution 3.0 Unported License under which it has been published. CPTAC proteomic and genomic data use must also comply with the CPTAC Data Use Agreement. Questions may be directed to help@cancerimagingarchive.net. Attribution should include references to the following citations:
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| National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). (2018). Radiology Data from the Clinical Proteomic Tumor Analysis Consortium Glioblastoma Multiforme [CPTAC-GBM] collection [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. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA 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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| Version 13 (Current): 2020/09/03Data 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. Version 12: Updated 2020/02/31Data 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. Version 11: Updated 2020/02/14
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 Version 10: Updated 2019/12/16
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 Version 9 : Updated 2019/10/30
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 Version 8: Updated 2019/09/30
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 Version 7 : Updated 2019/06/30
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 Version 6 : Updated 2019/03/31
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 Version 5: Updated 2018/12/31
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. Version 4: Updated 2018/10/24
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. Version 3: Updated 2018/06/30
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. Version 2: Updated 2018/04/26
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. Version 1: Updated 2018/01/10
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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