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Intratumoral Microbiome–related MRI Model for Predicting Breast Cancer Shrinkage Pattern Following Neoadjuvant Therapy

Yuhong Huang, Xinyang Song, Yilin Chen, Han Qiu, Tianhan Zhou, Siqi Wang, Yang Zhou, Wei Li, Ying Lin, Qian Wang, Wenchao Gu, Teng Zhu, Kun Wang

2025Radiology10 citationsDOIOpen Access PDF

Abstract

< .001), remaining robust across molecular subtypes (AUC range, 0.85-0.91) and tumor stages (AUC range, 0.84-0.89). Shapley additive explanations confirmed that each imaging feature independently predicted TSP. Conclusion An intratumoral microbiome-related MRI model enabled precise TSP prediction. © The Author(s) 2025. Published by the Radiological Society of North America under a CC BY 4.0 license.

Topics & Concepts

MedicineBreast cancerNeoadjuvant therapyMicrobiomeBreast-conserving surgeryMagnetic resonance imagingRadiologyOncologyCancerInternal medicineBioinformaticsMastectomyBiologyRadiomics and Machine Learning in Medical ImagingMRI in cancer diagnosisBreast Cancer Treatment Studies
Intratumoral Microbiome–related MRI Model for Predicting Breast Cancer Shrinkage Pattern Following Neoadjuvant Therapy | Litcius