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[…] to the “Access” column on https:// www.cancerimagingarchive.net/collections/ for more details. Limited Access Collections […]

DICOM-SR-BREAST-CLINICAL

DOI: 10.7937/TCIA.2019.wgllssg1 | Analysis Result

The Data Integration & Imaging Informatics (DI-Cubed) project explored the issue of lack of standardized data capture at the point of data creation, as reflected in the non-image data accompanying various TCIA breast cancer collections. The work addressed the desire for semantic interoperability between various NCI initiatives by aligning on common clinical metadata elements and supporting use cases that connect clinical,...

[…] The DICOM SR can be stored and used together with […]

LUMINALB-BREAST-MR-ENHANCEMENT

DOI: 10.7937/K9/TCIA.2014.IIRMBUNX | Analysis Result

Purpose

To investigate associations between breast cancer molecular subtype and semiautomatically extracted magnetic resonance (MR) imaging features.

Materials and Methods

Imaging and genomic data from the Cancer Genome Atlas and the Cancer Imaging Archive for 48 patients with breast cancer from four institutions in the United States were used in this institutional review board approval-exempt study....

[…] background parenchyma. (c) RSNA, 2014 Online supplemental material is available […]

RADIOMICS-TUMOR-PHENOTYPES

DOI: 10.7937/K9/TCIA.2014..UA0JGPDG | Analysis Result

This data applies a radiomic approach to computed tomography data of 1,019 patients with lung or head-and-neck cancer which are described in Nature Communications (http://doi.org/10.1038/ncomms5006).  The various arms of the study are represented in TCIA as distinct Collections including NSCLC-Radiomics (Lung1), 

This data applies a radiomic approach to computed tomography data […]