ArticleJournal of clinical imaging science2025
Correlation analysis of multiparametric magnetic resonance imaging features and molecular subtypes of breast cancer.
Article in Journal of clinical imaging science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Diagnostic performance of multimodal ultrasonography for molecular subtyping of breast cancer: a retrospective study.Gland surgery · 2026Article
- Mapping the Intratumoral and Peritumoral Microenvironment: Multilayered Shell ADC Analysis and Its Association with Multiparametric Biomarkers in Invasive Breast Cancer.Tomography (Ann Arbor, Mich.) · 2026Article
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Authors and funding
8 authors.
Funding
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Abstract
Objectives: This study aims to evaluate the relationship between multiparametric magnetic resonance imaging (MRI) features - including T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and dynamic contrast enhancement (DCE) - and molecular subtypes of breast cancer, to enhance non-invasive diagnostic stratification. Material and Methods: This retrospective study enrolled 134 consecutive patients with pathologically confirmed breast cancer. A comparative analysis was performed to evaluate intergroup variations in clinicopathological characteristics, morphological features, and multiparametric MRI parameters (including T2WI signal intensity, ADC value, early-phase enhancement rate, and time-intensity curve pattern) across the four molecular subtypes. Results: The cohort comprised 134 breast cancer patients stratified into molecular subtypes as follows: Luminal A ( Conclusion: Multiparametric MRI features, particularly ADC values, DCE kinetics, and T2WI signals, demonstrate significant associations with breast cancer molecular subtypes. These imaging biomarkers offer potential for non-invasive subtype prediction, supporting more tailored diagnostic and treatment strategies.
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