TCGA-UCEC
The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma Collection
Clinical CT, MRI, PET and radiographs of women with endometrial cancer whose tumors were profiled by The Cancer Genome Atlas, so imaging can be linked to genomics and outcome. 65 women from three US sites.
Overview
TCGA-UCEC is the radiology part of The Cancer Genome Atlas uterine corpus endometrial carcinoma project. The Cancer Imaging Archive hosts clinical CT, MRI, PET and radiographs of TCGA patients, while their clinical, pathology and genomic data sit in the NCI Genomic Data Commons. Both use the same TCGA patient id, so imaging features can be linked to tumor genotype and patient outcome. The first version appeared in 2015, and version 4 followed in 2020.
Composition
Version 4 holds 65 patients, all women, with 226 studies, 912 DICOM series and 77,214 images (37.85 GB). Counted from the open TCIA series metadata, every patient has CT, 8 have MRI, 5 have PET and one has computed radiographs. Age at the earliest archived study ranges from 30 to 90 years, with a median of 64, for the 64 patients whose first study records an age. Most patients have repeated imaging: 41 of the 65 have more than one study. The collection page also offers a snapshot of the TCGA clinical data from January 2016, plus the TCGA case forms that explain its fields.
Acquisition
Images come from routine care rather than a research protocol, contributed by Mayo Clinic, Washington University in St. Louis and MD Anderson Cancer Center. Scanners are from Siemens, GE, Toshiba and Philips, and the radiographs from a Fujifilm system. CT mostly covers the abdomen and pelvis, or the chest, abdomen and pelvis. The MRI studies cover the pelvis with T1-weighted and T2-weighted series and dynamic gadolinium-enhanced acquisitions, and PET is FDG PET/CT of the torso. The baseline studies of each case were acquired before surgery. DICOM dates are shifted by a random per-site offset, which keeps intervals between studies intact.
Annotations
The collection itself contains no image labels. Segmentations and reader annotations made later by other groups are published as separate analysis datasets.
Known limitations
- Scanner types, protocols and series naming vary widely, and no harmonized sequence labels are provided.
- Only 65 of the TCGA endometrial cancer patients have imaging, so the imaged subset may not represent the full TCGA cohort.
- MRI and PET exist for few patients, so most multimodal analyses are limited to CT.
- TCIA and TCGA use different date conventions that are not reconciled.
- Some PET series of three patients have no manufacturer value.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 65 subjects.
Sex
- Female 65 100%
PatientSex in TCIA NBIA API getPatient metadata for TCGA-UCEC (open, no account, CC BY 3.0), PatientSex field
Modality
- CT 65 100%
- MRI 8 12%
- PET 5 8%
- X-ray (computed radiography) 1 2%
Age
mean 62.9 ± 10.7, median 64, range 30 to 90
Scanner vendor
- Siemens Healthineers 44 68%
- GE HealthCare 36 55%
- Canon Medical 6 9%
- Philips 4 6%
Manufacturer in TCIA NBIA API getSeries metadata for TCGA-UCEC (open, no account, CC BY 3.0), counted per patient id from the Modality and Manufacturer fields
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
DICOM images via the TCIA Data Retriever. Clinical, genomic and histopathology data of the same patients are in the NCI Genomic Data Commons; a clinical snapshot is an open download 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.
TCIA lists the images under CC BY 3.0. Users must also follow the TCIA Data Usage Policy, which says users must "Not use the requested datasets, either alone or in concert with any other information, to identify or contact individual participants" and must cite the dataset DOI (https://www.cancerimagingarchive.net/data-usage-policies-and-restrictions/). Publications are asked to acknowledge the TCGA Research Network.
What you can do
- Yes
- 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
Erickson BJ, Mutch D, Lippmann L, Jarosz R. (2016). The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma Collection (TCGA-UCEC) (Version 4) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.GKJ0ZWAC
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.
- TCIA TCGA-UCEC collection page (version 4, updated 2020/05/29) website
- TCIA NBIA API getSeries metadata for TCGA-UCEC (open, no account, CC BY 3.0), counted per patient id from the Modality and Manufacturer fields computed
- TCIA NBIA API getPatient metadata for TCGA-UCEC (open, no account, CC BY 3.0), PatientSex field computed
- TCIA NBIA API getPatientStudy metadata for TCGA-UCEC (open, no account, CC BY 3.0), PatientAge of each patient's earliest study computed