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S. Baba

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Open access Oct 2026

Slow Diffusion Coefficient Derived from High b -Value Diffusion-Weighted MRI for Assessing Pathological Complete Response after Neoadjuvant Chemotherapy in Breast Cancer: An Exploratory Machine Learning Analysis

Background The apparent diffusion coefficient (ADC) is used to assess breast cancer response but may be influenced by perfusion and T2-related effects. Aim The aim of the study was to compare ADC-only, slow diffusion coefficient (SDC)-only, and combined ADC–SDC models and to evaluate whether SDC provides information co...

Kazuya Sakoda, S. Baba · 0 citations

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