TCGA-KIRP
The Cancer Genome Atlas Kidney Renal Papillary Cell Carcinoma Collection
Pre-surgical CT, MRI and PET-CT of 33 patients with papillary renal cell carcinoma from four US centers, matched by patient ID to the TCGA clinical, genomic and pathology data for radiogenomics research.
Overview
TCGA-KIRP is the radiology part of The Cancer Genome Atlas project on papillary renal cell carcinoma. The Cancer Imaging Archive hosts clinical CT, MRI and PET-CT scans of TCGA patients, and each patient keeps the same identifier as in TCGA, so the images can be linked to the clinical, genomic and histopathology records in the NCI Genomic Data Commons. The collection is meant for radiogenomics work that relates imaging features of the tumor to its molecular profile and to patient outcome. The collection page title contains the word "Cervical" by mistake; the data concern kidney cancer only.
Composition
Version 4 holds 33 patients with 47 imaging studies, 376 DICOM series and 26,667 images, about 10.3 GB. Counted from the open series metadata file, 23 patients have CT, 17 have MRI and 2 have PET-CT. By DICOM header, 28 patients are male and 5 female. A clinical data snapshot from January 2016 (patient, follow-up, drug, radiation and new tumor event tables) is linked from the collection page, and the current clinical and genomic records live in the GDC.
Acquisition
For each TCGA case, the baseline imaging is from before surgery. The scans were taken in routine care, not under a research protocol, so scanners, protocols and series vary between patients. Contributing sites are the National Cancer Institute, the University of North Carolina, Roswell Park Cancer Institute and Lahey Hospital & Medical Center. CT and MRI cover the abdomen and pelvis, mostly with and without contrast; MRI series include T1-weighted pre- and post-contrast, T2-weighted and diffusion-weighted images. Scanners are from GE, Siemens, Philips and Toshiba. DICOM dates are shifted per site by a fixed offset, which keeps the intervals between a patient's studies.
Known limitations
- No image annotations or segmentations are distributed with the collection.
- The cohort is small and mostly male, and protocols differ across sites and patients.
- Field strengths, contrast agents and PET tracers are not documented on the collection page.
- Clinical dates in TCGA are counted from the diagnosis date, while DICOM dates use a different offset, so the two timelines are not aligned.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 33 subjects.
Sex
- Male 28 85%
- Female 5 15%
Modality
subjects
- CT 23 70%
- MRI 17 52%
- PET 2 6%
Scanner vendor
subjects
- GE HealthCare 14 42%
- Siemens Healthineers 12 36%
- Philips 7 21%
- Canon Medical 1 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
Images download with the TCIA Data Retriever. Clinical, genomic and histopathology data for the same patient IDs are held in the NCI Genomic Data Commons; a 2016 clinical data snapshot is linked from the collection page.
Creative Commons Attribution 3.0 Unported
Older version of CC BY. 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
Linehan M, Gautam R, Kirk S, Lee Y, Roche C, Bonaccio E, Filippini J, Rieger-Christ K, Lemmerman J, Jarosz R. (2016). The Cancer Genome Atlas Cervical Kidney Renal Papillary Cell Carcinoma Collection (TCGA-KIRP) (Version 4) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.ACWOGBEF
All numbers
Every number on this page, as stored in stats.csv, with its source.
| Measure | Breakdown | Value | Source |
|---|---|---|---|
| Subjects | total | 33 | tcia-tcga-kirp Data Access table |
| Studies | total | 47 | tcia-tcga-kirp Data Access table |
| Scans | total DICOM series | 376 | tcia-tcga-kirp Data Access table |
| Images | total DICOM images (slices) | 26,667 | tcia-tcga-kirp Data Access table |
| Subjects | modality=CT | 23 | tcia-tcga-kirp-digest Modality; Patient ID |
| Subjects | modality=MR | 17 | tcia-tcga-kirp-digest Modality; Patient ID |
| Subjects | modality=PT | 2 | tcia-tcga-kirp-digest Modality; Patient ID |
| Studies | modality=CT includes the CT series of the 2 PET-CT studies | 27 | tcia-tcga-kirp-digest Modality; Study Instance UID |
| Studies | modality=MR | 20 | tcia-tcga-kirp-digest Modality; Study Instance UID |
| Studies | modality=PT PET-CT | 2 | tcia-tcga-kirp-digest Modality; Study Instance UID |
| Scans | modality=CT DICOM series | 110 | tcia-tcga-kirp-digest Modality |
| Scans | modality=MR DICOM series | 260 | tcia-tcga-kirp-digest Modality |
| Scans | modality=PT DICOM series | 6 | tcia-tcga-kirp-digest Modality |
| Subjects | sex=male DICOM header value | 28 | tcia-tcga-kirp-digest Patient Sex; Patient ID |
| Subjects | sex=female DICOM header value | 5 | tcia-tcga-kirp-digest Patient Sex; Patient ID |
| Subjects | vendor=ge patients with at least one GE series | 14 | tcia-tcga-kirp-digest Manufacturer; Patient ID |
| Subjects | vendor=siemens patients with at least one Siemens series | 12 | tcia-tcga-kirp-digest Manufacturer; Patient ID |
| Subjects | vendor=philips patients with at least one Philips series (Philips, Philips Medical Systems) | 7 | tcia-tcga-kirp-digest Manufacturer; Patient ID |
| Subjects | vendor=canon Toshiba | 1 | tcia-tcga-kirp-digest Manufacturer; Patient ID |
Sources
The keys used in the table above.