Quantification of intratumoral heterogeneity using habitat-based MRI radiomics to identify HER2-positive, -low and -zero breast cancers: a multicenter study

Our study developed ITH signatures that quantified ITH using habitat-based MRI radiomics, achieving outstanding performance in differentiating HER2-postive and -negative tumors, and further differentiating HER2-low and -zero breast cancers.

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Publication Details

Journal
Breast Cancer Research
Published
2024-11-22
DOI
https://doi.org/10.1186/s13058-024-01921-7
Citations
25
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
10.11
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article

Quantification of intratumoral heterogeneity using habitat-based MRI radiomics to identify HER2-positive, -low and -zero breast cancers: a multicenter study

Xiaoxuan Jia, Peng Yuan, Nan Hong, Fan Chai et al.
25 citations
Breast Cancer Research
Radiomics and Machine Learning in Medical Imaging
10.11
article

Quantification of intratumoral heterogeneity using habitat-based MRI radiomics to identify HER2-positive, -low and -zero breast cancers: a multicenter study

Xiaoxuan Jia, Peng Yuan, Nan Hong, Fan Chai, Jiaqi Zhao, Yulu Liu, Haoquan Chen, Yi Wang, Shu Wang
article en
25 citations

Abstract

Our study developed ITH signatures that quantified ITH using habitat-based MRI radiomics, achieving outstanding performance in differentiating HER2-postive and -negative tumors, and further differentiating HER2-low and -zero breast cancers.

Breast Cancer ResearchVol. 26(1)
Peking University (CN), Peking University People's Hospital (CN), Jiangmen Central Hospital (CN)
Openalex Percentile: Top 1%
Radiomics and Machine Learning in Medical Imaging
10.11
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Quantification of intratumoral heterogeneity using habitat-based MRI radiomics to identify HER2-positive, -low and -zero breast cancers: a multicenter study — Xiaoxuan Jia, Peng Yuan, et al. · Breast Cancer Research (2024) | TGRS Research Map | TGRS