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Usefulness of texture features of apparent diffusion coefficient maps in predicting chemoradiotherapy response in muscle-invasive bladder cancer.

Koichiro KimuraSoichiro YoshidaJunichi TsuchiyaIchiro YamadaHajime TanakaMinato YokoyamaYoh MatsuokaRyoichi YoshimuraUkihide TateishiYasuhisa Fujii
Published in: European radiology (2021)
• Texture analysis of ADC maps and feature selection identified important texture features for classifying pathologic tumor response in patients with muscle-invasive bladder cancer. • The machine learning model incorporating the texture features set, which included first quartile ADC, GLCM correlation, and GLCM homogeneity, showed high performance in predicting chemoradiotherapy response. • Texture features could serve as imaging biomarkers that optimize eligible patient selection for chemoradiotherapy in muscle-invasive bladder cancer.
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