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Abstract #1180

Texture analysis of multiparametric MRI in cervical cancer before and after chemoradiotherapy

Jose Angelo Udal Perucho1, Elaine Yuen Phin Lee1, Richard Du1, Varut Vardhanabhuti1, and Queenie Chan2

1Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2Philips Healthcare, Hong Kong, Hong Kong

Texture analysis of multiparametric MRI (mpMRI) consisting of diffusion-weighted MRI (DWI) and T2-weighted (T2W) texture features could be a promising quantitative approach in assessing tumor heterogeneity. We retrospectively studied forty patients who had paired mpMRI examinations before and at week-4 of chemoradiotherapy (CRT). Based on the changes in stable mpMRI features, we observed that initially more anatomically and functionally homogenous tumors had better response to treatment and that tumors became more functionally heterogenous after treatment.

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