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
Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing Pipelines (PleThora) LungLung402NSCLC-RadiomicsThoracic segmentations, pleural effusion segmentations, image features2020-07-01
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 DatasetsGlioblatoma, 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
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approachLung, Head-NeckLung, Head-Neck701NSCLC-Radiomics, NSCLC-Radiomics-Genomics, Head-Neck-Radiomics-HN1, NSCLC-Radiomics-Interobserver1, RIDER Lung CTTumor segmentations and radiomic features2020-03-23
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 ImagesVarious (14 collections)Various (14 collections)Various (14 TCGA collections)Nuclei 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 meetingVarious (13 collections)Various (13 collections)324Various (13 collections)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 ImagesVarious (13 collections)Various (13 collections)4,759Various (13 TCGA collections)Deep 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
Image Data Used in the Simulations of "The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends"Colon, Lung, Breast, GlioblastomaColon, Chest, Breast, Brain40CT COLONOGRAPHY, LIDC-IDRI, TCGA-BRCA, TCGA-GBMN/A2016-12-08
Glioblastoma: Imaging Genomic Mapping Reveals Sex-specific Oncogenic Associations of Cell DeathGlioblastomaBrain99TCGA-GBMN/A2016-08-02
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
Spatial Habitat Features derived from Multiparametric Magnetic Resonance Imaging data from Glioblastoma Multiforme casesGlioblastomaBrain74TCGA-GBMN/A2015-08-20
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
Segmentation of Pulmonary Nodules in Computed Tomography Using a Regression Neural Network Approach and its Application to the Lung Image Database Consortium and Image Database Resource Initiative DatasetLungChest102LIDC-IDRIN/A2015-02-24
MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data SetGlioblastomaBrain75TCGA-GBMRadiologist assessments of image features2014-11-12
Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR ImagingBreastBreast48TCGA-BRCAN/A2014-11-12
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
NSCLC Radiogenomics: Initial Stanford Study of 26 CasesGlioblastomaChest26NSCLC RadiogenomicsN/A2013-03-01