Computational approach to radiogenomics of breast cancer: Luminal A and luminal B molecular subtypes are associated with imaging features on routine breast MRI extracted using computer vision algorithms.

doi:10.1002/jmri.24879

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Article

Computational approach to radiogenomics of breast cancer: Luminal A and luminal B molecular subtypes are associated with imaging features on routine breast MRI extracted using computer vision algorithms.

Journal of magnetic resonance imaging : JMRI - 1 Oct 2015

Grimm Lars J, Zhang Jing, Mazurowski Maciej A

Abstract excerpt

PURPOSE: To identify associations between semiautomatically extracted MRI features and breast cancer molecular subtypes. METHODS: We analyzed routine clinical pre-operative breast MRIs from 275 breast cancer patients at a single institution in this retrospective, Institutional Review Board-approv...

Topics

Adult
Aged
Aged, 80 and over
Breast Neoplasms
Female
Genetic Predisposition to Disease
Genomics
Humans
Image Enhancement
Image Interpretation, Computer-Assisted
Machine Learning

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Magnetic Resonance Imaging

Middle Aged

Pattern Recognition, Automated

Precision Medicine

Radiology

Receptor, ErbB-2

Receptors, Estrogen

Source

Open in PubMed

Identifiers

PMID: 25777181
DOI: 10.1002/jmri.24879

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 30 Aug 2026. Prepared record publication-25777181-2026-08-30.1. Manifest publication-graph-cohort-2026-08-30.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 30 Aug 2026.

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