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active | true |
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title | Data Access |
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| Data AccessChoosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection optionClick the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents. Data Type | Download all or Query/Filter |
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Images (DICOM, 91.6GB) | | Tissue Slide Images (web) | | Clinical Data (TXT) | | Genomics (web) | |
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: |
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title | Detailed Description |
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| Detailed Description | |
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Modalities | CT, MR | Number of Patients | 267 | Number of Studies | 439 | Number of Series | 2,654 | Number of Images | 192,581 | Images Size (GB) | 91.6 |
The GDC Data Portal has extensive clinical and genomic data, which can be matched to the patient identifiers of the images here in TCIA. Below is a snapshot of clinical data extracted on 1/5/2016. Explanations of the clinical data can be found on the Biospecimen Core Resource Clinical Data Forms linked below: A Note about TCIA and TCGA Subject Identifiers and DatesSubject Identifiers: a subject with radiology images stored in TCIA is identified with a Patient ID that is identical to the Patient ID of the same subject with demographic, clinical, pathological, and/or genomic data stored in TCGA. For each TCGA case, the baseline TCGA imaging studies found on TCIA are pre-surgical. Dates: TCIA and TCGA handle dates differently, and there are no immediate plans to reconcile: - TCIA Dates: dates (be they birth dates, imaging study dates, etc.) in the Digital Imaging and Communications in Medicine (DICOM) headers of TCIA radiology images have been offset 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.
- TCGA Dates: the patient demographic and clinical event dates are all the number of days from the index date, which is the actual date of pathologic diagnosis. So all the dates in the data are relative negative or positive integers, except for the “days_to_pathologic_diagnosis” value, which is 0 – the index date. The years of birth and diagnosis are maintained in the distributed clinical data file. The NCI retains a copy of the data with complete dates, but those data are not made available.With regard to other TCGA dates, if a date comes from a HIPAA “covered entity’s” medical record, it is turned into the relative day count from the index date. Dates like the date TCGA received the specimen or when the TCGA case report form was filled out are not such covered dates, and they will appear as real dates (month, day, and year).
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy TCGA collections have special publication embargoes which must be followed in addition to our normal data usage policies. See the TCGA section within TCIA's Data Usage Policies and Restrictions for additional details. After the publication embargo period ends these collections are This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including include the following attribution and citations in your work if you use this data set: Info |
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title | TCGA -KIRC CitationAttribution |
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| "The results <published or shown> here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/." |
Info |
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| Akin, O., Elnajjar, P., Heller, M., Jarosz, R., Erickson, B. J., Kirk, S., … Filippini, J. (2016). Smith K, Clark K, Bennett W, Nolan T, Kirby J, Wolfsberger M, Moulton J, Vendt B, Freymann J. Radiology Data from The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma ([TCGA-KIRC) ] collection. The Cancer Imaging Archive. http://dx.doi.org/10.7937/K9/TCIA.2016.V6PBVTDR |
Info |
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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. (paper) |
Other Publications Using This DataSee the TCGA-KIRC section on our Publications page for other work leveraging this collection. If you have a publication you'd like to add please contact the TCIA Helpdesk. | Localtab |
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title | Versions |
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Localtab |
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| Version 2 (Current): Updated 2016/01/05Data Type | Download all or Query/Filter |
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Images (DICOM, 91.6GB) | | Clinical Data (TXT) | | Genomics (web) | |
Extracted latest release of clinical data (TXT) from the GDC Data Portal. Version 1: Updated 2014/10/09Data Type | Download all or Query/Filter |
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Images (DICOM, 91.6GB) | | Clinical Data (TXT) | | Genomics (web) | |
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