Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Habitat Analysis of Breast Cancer-Enhanced MRI Reflects BRCA1 Mutation Determined by Immunohistochemistry.

BioMed research international - 1 Jan 2022

Du Tianming, Zhao Haidong

Abstract excerpt

Objective: To use habitat analysis (also termed habitat imaging) for classifying untreated breast cancer-enhanced magnetic resonance imaging (MRI) in women. Moreover, we intended to obtain clustering parameters to predict the BReast CAncer gene 1 (BRCA1) gene mutation and to determine the use of MRI as a noninvasive examination tool. Methods: We obtained enhanced MRI data of patients with breast cancer before...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to BRCA1 Protein
Share to Breast Neoplasms
Share to Ecosystem

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Immunohistochemistry

Share to Magnetic Resonance Imaging

Share to MRI in cancer diagnosis

Share to Mutation

Share to Radiomics and Machine Learning in Medical Imaging

Source

Open in PubMed Open full text

Identifiers

PMID: 35402620
DOI: 10.1155/2022/9623173
PMCID: PMC8986384

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 8 closest

Habitat Analysis of Breast Cancer-Enhanced MRI Reflects BRCA1 Mutation Determined by Immunohistochemistry.PMID 35402620Read ↗

mpMRI-based habitat analysis for predicting prognoses in patients with high-grade serous ovarian cancer: a multicenter studySemantic proximity Read ↗

DCE-MRI Radiomics-Based Tumor Habitat Analysis for Three-Class Prediction of HER2 Expression Status in Breast CancerSemantic proximity Read ↗

MRI-based habitat radiomics for preoperatively predicting IDH status in gliomas.Semantic proximity Read ↗

Texture Analysis of Enhanced MRI and Pathological Slides Predicts EGFR Mutation Status in Breast Cancer.Semantic proximity Read ↗

Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data.Semantic proximity Read ↗

Deep Learning and Habitat Radiomics for the Prediction of Glioma Pathology Using Multiparametric MRI: A Multicenter Study.Semantic proximity Read ↗

Voxel-wise Radiomics Habitat Modeling of Multiparametric MRI for IDH Prediction and Survival Stratification in Glioma: a multicenter retrospective studySemantic proximity Read ↗

AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.