To enhance the value of TCIA collections we encourage the research community to publish their analyses of existing TCIA image collections. Examples of this kind of data includes radiologist or pathologist annotations, image classifications, segmentations, radiomics features, or derived/reprocessed images.  Similar to submitting new image collections, these data are reviewed by the TCIA Advisory Group for relevance and curated using our normal processes to assure data are de-identified.  However, TCIA does not certify the quality of the analyses themselves (e.g. accuracy of segmentation on a given scan).  Researchers should always carefully review the data and any related publications before deciding whether these analyses could be useful in their work.

TitleCancer TypeLocationSubjectsCollectionsAnalysis Artifacts on TCIAUpdated
PROSTATEx Zone SegmentationsProstateProstate98SPIE-AAPM-NCI PROSTATEx Challenges (Prostate-X-Challenge)Prostate Segmentations2020-11-30
Multi-Institutional Paired Expert Segmentations and Radiomic Features of the Ivy GAP DatasetGlioblastomaBrain37Ivy GAP Tumor segmentations and Radiomic Features2020-10-30
High Resolution Prostate Segmentations for the ProstateX-ChallengeProstateProstate66SPIE-AAPM-NCI PROSTATEx Challenges (Prostate-X-Challenge)Prostate segmentations2020-09-22
Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing Pipelines (PleThora) LungLung402NSCLC-RadiomicsThoracic segmentations, pleural effusion segmentations, image features2020-07-31
MRQy quality measures for TCIA MRI datasetsGlioblastoma, Cervical Squamous Cell Carcinoma and Endocervical AdenocarcinomaBrain, Cervix233TCGA-GBM, CPTAC-GBM, TCGA-CESCImage quality assessment measures2020-07-22
Standardization in Quantitative Imaging: A Multi-center Comparison of Radiomic Feature ValuesLungChest13LIDC-IDRIStanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features (DRO Toolkit)Multi-center comparison of radiomic features.2020-06-09
DICOM SR of clinical data and measurement for breast cancer collections to TCIABreastBreast474TCGA-BRCA, BREAST-DIAGNOSIS, ISPY1, Breast-MRI-NACT-PilotDICOM SR descriptions of patient characteristics, histopathology, receptor status and clinical findings including measurements.2020-05-28
DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation DatasetsGlioblastoma, Low Grade GliomaBrain167TCGA-GBM, TCGA-LGGTumor segmentations2020-04-30
Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory AnalysisOvarianOvary20TCGA-OVRadiologist assessments of image features, proteogenomic features2020-04-15
Standardized representation of the TCIA LIDC-IDRI annotations using DICOMLungChest1,010LIDC-IDRITumor segmentations, image features2020-03-26
RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approachLungChest31RIDER Lung CTTumor segmentations2020-02-13
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology ImagesBladder Urothelial Carcinoma, Breast Invasive Carcinoma, Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma, Glioblastoma Multiforme, Lung Adenocarcinoma, Lung Squamous Cell Carcinoma, Pancreatic Adenocarcinoma, Prostate Adenocarcinoma, Skin Cutaneous Melanoma, Uterine Corpus Endometrial Carcinoma, Colon Adenocarcinoma, Rectal Adenocarcinoma, Stomach Adenocarcinoma, Uveal MelanomaBladder, Brain, Breast, Colon, Eye, Lung, Pancreas, Prostate, Rectum, Stomach, Uterus, EndometriumTCGA-BLCA, TCGA-BRCA, TCGA-CESC, TCGA-COAD, TCGA-GBM, TCGA-LUAD, TCGA-LUSC, TCGA-PAAD, TCGA-PRAD, TCGA-READ, TCGA-SKCM, TCGA-STAD, TCGA-UCEC, TCGA-UVMNuclei segmentations2020-02-08
Data from Head and Neck Cancer CT AtlasHead and Neck Squamous Cell CarcinomaHead-Neck215HNSCCRadiation Therapy Structures2019-07-11
SDTM datasets of clinical data and measurements for selected cancer collections to TCIABreast, GlioblastomaBreast, Brain516ISPY1, BREAST-DIAGNOSIS, Breast-MRI-NACT-Pilot, TCGA-BRCA, Ivy GAPStandardized (SDTM format) conversions of clinical and image analysis data2019-06-21
Crowds Cure Cancer: Data collected at the RSNA 2018 annual meetingBladder Endothelial Carcinoma, Colon Adenocarcinoma, Glioblastoma Multiforme, Head and Neck Squamous Cell Carcinoma, Lung Squamous Cell Carcinoma, Melanoma, Non-small Cell Lung Cancer, Pancreatic Ductal Adenocarcinoma, Renal Clear Cell Carcinoma, Uterine Corpus Endometrial CarcinomaBladder, Brain, Colon, Head-Neck, Kidney, Lung, Pancreas, Skin, Uterine Corpus324Anti-PD-1_Lung,
NSCLC Radiogenomics,
Lesion measurements2019-05-30
QIN multi-site collection of Lung CT data with Nodule SegmentationsLungChest31Lung Phantom, LIDC-IDRI, QIN LUNG CT, RIDER Lung CTTumor segmentations2018-12-18
Tumor-Infiltrating Lymphocytes Maps from TCGA H&E Whole Slide Pathology ImagesBladder Urothelial Carcinoma, Breast Invasive Carcinoma, Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma, Colon Adenocarcinoma, Lung Adenocarcinoma, Lung Squamous Cell Carcinoma, Pancreatic Adenocarcinoma, Prostate Adenocarcinoma, Rectum Adenocarcinoma, Skin Cutaneous Melanoma, Stomach Adenocarcinoma, Uterine Corpus Endometrial Carcinoma, Uveal MelanomaBladder, Breast, Pelvic Cervix, Chest, Colon, Eye, Lung, Pancreas, Prostate, Rectum, Skin, Stomach, Uterus4,759TCGA-BLCA, TCGA-BRCA, TCGA-CESC, TCGA-COAD, TCGA-LUAD, TCGA-LUSC, TCGA-PAAD, TCGA-PRAD, TCGA-READ, TCGA-SKCM, TCGA-STAD, TCGA-UCEC, TCGA-UVMDeep learning based computational stain for staining tumor-infiltrating lymphocytes (TILs)2018-12-17
TCGA Breast Phenotype Research Group Data setsBreastBreast84TCGA-BRCARadiologist assessments of image features, lesion segmentations, radiomic features, and multi-gene assays2018-09-04
Crowds Cure Cancer: Data collected at the RSNA 2017 annual meetingLung Adenocarcinoma, Renal Clear Cell, Liver, OvarianChest, Kidney, Liver, Ovary352TCGA-LUAD, TCGA-KIRC, TCGA-LIHC, TCGA-OVLesion measurements2018-05-17
Long and Short Survival in Adenocarcinoma Lung CTsLung AdenocarcinomaChest40LungCT-Diagnosis, QIN LUNG CTTumor segmentations and radiomic image features2017-08-11
Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collectionGlioblastomaBrain135TCGA-GBMTumor segmentations and radiomic image features2017-07-17
Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collectionLow Grade GliomaBrain108TCGA-LGGTumor segmentations and radiomic image features2017-07-17
ROI Masks Defining Low-Grade Glioma Tumor Regions In the TCGA-LGG Image CollectionLow Grade GliomaBrain188TCGA-LGGRadiologist assessments of image features, tumor segmentations2017-03-17
Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research GroupHigh-Grade Serous Ovarian CancerOvary93TCGA-OVRadiologist assessments of image features, genomic subtypes2016-08-02
NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate StructuresProstateProstate80PROSTATE-DIAGNOSIS, Prostate-3TProstate structure segmentations2015-08-20
Radiogenomics of Clear Cell Renal Cell Carcinoma: Preliminary Findings of The Cancer Genome Atlas-Renal Cell Carcinoma (TCGA-RCC) Research GroupRenal Clear Cell CarcinomaKidney103TCGA-KIRCRadiologist assessments of image features2015-05-28
MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data SetGlioblastomaBrain75TCGA-GBMRadiologist assessments of image features2014-11-12
Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image featuresGlioblastomaBrain55TCGA-GBMTumor segmentations2014-11-05
Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the TumorGlioblastomaBrain45TCGA-GBMRadiologist assessments of image features and hemodynamic parameters2014-07-24