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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.

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TitleCancer TypeLocationSubjectsCollections AnalyzedAnalysis Artifacts on TCIAUpdated
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
Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing PipelinesLungLung402NSCLC-RadiomicsThoracic segmentations, pleural effusion segmentations, image features2020-04-08

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Lung, Head-NeckLung, Head-Neck701NSCLC-Radiomics, NSCLC-Radiomics-GenomicsHead-Neck-Radiomics-HN1NSCLC-Radiomics-Interobserver1RIDER Lung CTTumor segmentations and radiomic features2020-03-23

Glioblastoma: Imaging Genomic Mapping Reveals Sex-specific Oncogenic Associations of Cell Death

GlioblastomaBrain99TCGA-GBMN/A2016-08-02

MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set

GlioblastomaBrain75TCGA-GBMRadiologist assessments of image features2014-11-12

Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor

GlioblastomaBrain45TCGA-GBMRadiologist assessments of image features and hemodynamic parameters 2014-07-24

Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging

BreastBreast48TCGA-BRCAN/A2014-11-12

Radiogenomics of Clear Cell Renal Cell Carcinoma: Preliminary Findings of The Cancer Genome Atlas-Renal Cell Carcinoma (TCGA-RCC) Research Group

Renal 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 Dataset

LungChest102LIDC-IDRIN/A2015-02-24

Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features

GlioblastomaBrain55TCGA-GBMTumor segmentations2014-11-05

Spatial Habitat Features derived from Multiparametric Magnetic Resonance Imaging data from Glioblastoma Multiforme cases

GlioblastomaBrain74TCGA-GBMN/A2015-08-20

NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures

ProstateProstate80

PROSTATE-DIAGNOSIS
Prostate-3T

Prostate structure segmentations2015-08-20

NSCLC Radiogenomics: Initial Stanford Study of 26 Cases

LungChest26NSCLC RadiogenomicsN/A2013-03-01

Data from Head and Neck Cancer CT Atlas

Head and Neck Squamous Cell CarcinomaHead-Neck215HNSCCRadiation Therapy Structures2019-07-11

Crowds Cure Cancer: Data collected at the RSNA 2017 annual meeting

Lung Adenocarcinoma, Renal Clear Cell, Liver, OvarianChest, Kidney, Liver, Ovary352TCGA-LUADTCGA-KIRCTCGA-LIHC, TCGA-OVLesion measurements2018-05-17

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-IDRITCGA-BRCA, TCGA-GBMN/A2016-12-08

QIN multi-site collection of Lung CT data with Nodule Segmentations

LungChest31Lung PhantomLIDC-IDRIQIN LUNG CTRIDER Lung CTTumor segmentations2018-12-18

ROI Masks Defining Low-Grade Glioma Tumor Regions In the TCGA-LGG Image Collection

Low Grade GliomaBrain188TCGA-LGGRadiologist assessments of image features, tumor segmentations2017-03-17

TCGA Breast Phenotype Research Group Data sets

BreastBreast84TCGA-BRCARadiologist assessments of image features, lesion segmentations, radiomic features, and multi-gene assays2018-09-04

Standardized representation of the TCIA LIDC-IDRI annotations using DICOM

LungChest1,010LIDC-IDRITumor segmentations, image features2020-03-26

DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets

Glioblatoma, Low Grade GliomaBrain243167TCGA-GBMTCGA-LGGTumor segmentations20182020-1104-2030

Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group

High-Grade Serous Ovarian CancerOvary93TCGA-OVRadiologist assessments of image features, genomic subtypes2016-08-02

Long and Short Survival in Adenocarcinoma Lung CTs

Lung AdenocarcinomaChest40LungCT-DiagnosisQIN LUNG CTTumor segmentations and radiomic image features2017-08-11

Tumor-Infiltrating Lymphocytes Maps from TCGA H&E Whole Slide Pathology Images

Various (13 collections)Various (13 collections)4,759Various (13 TCGA collections)Deep learning based computational stain for staining tumor-infiltrating lymphocytes (TILs)2018-12-17

Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection

GlioblastomaBrain135TCGA-GBMTumor segmentations and radiomic image features2017-07-17

Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection

Low Grade GliomaBrain108TCGA-LGGTumor segmentations and radiomic image features2017-07-17

SDTM datasets of clinical data and measurements for selected cancer collections to TCIA

Breast, GlioblastomaBreast, Brain516ISPY1BREAST-DIAGNOSISBreast-MRI-NACT-Pilot, TCGA-BRCAIvy GAPStandardized (SDTM format) conversions of clinical and image analysis data2019-06-21

Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting

Various (13 collections)Various (13 collections)324Various (13 collections)Lesion measurements2019-05-30

RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

LungChest31RIDER 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