The Cancer Imaging Archive (TCIA) Public Access

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  • The Clinical Proteomic Tumor Analysis Consortium Acute Myeloid Leukemia Collection (CPTAC-AML)

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Comment: updating histopathology download with new url following aspera upgrade

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Localtab Group



Localtab
activetrue
titleData Access

Data Access


Data TypeDownload all or Query/FilterLicense
Tissue Slide Images (SVS, 378 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/19?passcode=b8d21401892e1d19604b3648346eafdfd7857473?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjY2MiIsInBhc3Njb2RlIjoiOWVhNzM2Y2FlYjFhYzc2MzZjMDEwMjliODgwZGJlNzU5NmI5ZDJiMCIsInBhY2thZ2VfaWQiOiI2NjIiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0=



Tcia button generator
labelSearch
urlhttps://pathdb.cancerimagingarchive.net/eaglescope/dist/?configurl=/system/files/collectionmetadata/202208/cptac_metadata_page_0.json&filterState=[{"id":"Tumor","title":"Tumor","field":"Tumor","operation":"eq","values":"AML"}]


(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 


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Additional data elements (CSV, 17 kB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/47677483/CPTAC-AML%20Additional%20Data%20Elements.xlsx?api=v2



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Click the Versions tab for more info about data releases.

Nci_crdc additional resources




Localtab
titleDetailed Description

Detailed Description



Pathology Image Statistics

Modalities

Pathology

Number of Participants

88

Number of Images

122
Images Size (GB)378

A Note about TCIA and CPTAC Subject Identifiers and Dates

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 (i.e. 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
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Tcia limited license policy


Info
titleData Citation

National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). (2019). The Clinical Proteomic Tumor Analysis Consortium Acute Myeloid Leukemia Collection (CPTAC-AML) (Version 4) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2019.B6FOE619


Info
titleAcknowledgement

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).”


Info
titleTCIA Citation

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

Other Publications Using This Data

TCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact TCIA's Helpdesk.




Localtab
titleVersions

Version 4 (Current): Updated 2020/09/03

Data TypeDownload all or Query/Filter
Tissue Slide Images (SVS, 378 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/19?passcode=b8d21401892e1d19604b3648346eafdfd7857473?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjY2MiIsInBhc3Njb2RlIjoiOWVhNzM2Y2FlYjFhYzc2MzZjMDEwMjliODgwZGJlNzU5NmI5ZDJiMCIsInBhY2thZ2VfaWQiOiI2NjIiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0=



 

Tcia button generator
labelSearch
urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Image_Available%22:%5B%22Yes%22%5D,%22Tumor%22:%5B%22AML%22%5D}



Proteomics (web)


Tcia button generator
labelSearch
urlhttps://proteomics.cancer.gov/data-portal



Changed to new Aspera download link for histopathology slides.

Version 3: Updated 2020/04/28


Data TypeDownload all or Query/Filter
Tissue Slide Images (SVS, 378 GB)


Tcia button generator
labelSearch
urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Image_Available%22:%5B%22Yes%22%5D,%22Tumor%22:%5B%22AML%22%5D}



Proteomics (web)


Tcia button generator
labelSearch
urlhttps://proteomics.cancer.gov/data-portal




Added 33 pathology subjects & 50 pathology images.  Future pathology data releases will include ONLY fully qualified cases.

Version 2: Updated 2019/12/03


Data TypeDownload all or Query/Filter
Tissue Slide Images (SVS, 193 GB)


Tcia button generator
labelSearch
urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Image_Available%22:%5B%22Yes%22%5D,%22Tumor%22:%5B%22AML%22%5D}



Proteomics (web)


Tcia button generator
labelSearch
urlhttps://proteomics.cancer.gov/data-portal




Added Pathology Subjects

Version 1: Updated 2019/01/02


Data TypeDownload all or Query/Filter
Tissue Slide Images (SVS, 193 GB)


Tcia button generator
labelSearch
urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Image_Available%22:%5B%22Yes%22%5D,%22Tumor%22:%5B%22AML%22%5D}



Proteomics (web)


Tcia button generator
labelSearch
urlhttps://proteomics.cancer.gov/data-portal




Added this descriptor for pathology slides. At this time there are no DICOM radiological imaging files.




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