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MRI-Based Habitat Analysis for Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer:

Huijuan Zhu1,2, Baiyun Zhang1,2, Danni Peng1,2

  • 1Department of Ultrasonography, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China.

Journal of Magnetic Resonance Imaging : JMRI
|April 11, 2026
PubMed
Summary
This summary is machine-generated.

MRI-based habitat analysis effectively identifies pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer. This approach, using intratumoral heterogeneity metrics, offers a noninvasive tool for predicting treatment success.

Keywords:
breast neoplasmsdynamic contrast enhanced magnetic resonance imaginghabitat imagingpathologic complete responsetreatment effect heterogeneity

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Area of Science:

  • Radiology and Medical Imaging
  • Oncology
  • Biomedical Engineering

Background:

  • Habitat imaging is used for tumor treatment response assessment.
  • The role of MRI-based habitat analysis in predicting pCR after NAC for breast cancer is unclear.

Purpose of the Study:

  • To assess the utility of dynamic contrast-enhanced MRI (DCE-MRI) habitat imaging for identifying pCR in breast cancer patients post-NAC.

Main Methods:

  • Retrospective study of 363 breast cancer patients using 1.5T or 3.0T DCE-MRI.
  • Habitat maps generated from peak-enhancement images using supervoxel segmentation and K-means clustering.
  • Intratumoral heterogeneity (ITH) metrics (Volume Entropy, Intensity Entropy) extracted; clinical and ITH models developed.

Main Results:

  • Lower Volume and Intensity Entropy observed in pCR vs. non-pCR groups.
  • HR status, HER2 status, and ITH features independently predicted pCR.
  • Integrated nomogram achieved superior performance (AUC 0.849 training, 0.825 validation) over clinical models.

Conclusions:

  • MRI-based habitat analysis provides a simple, interpretable, and clinically applicable method for noninvasive pCR identification.
  • This technique aids in assessing breast cancer treatment response to NAC.