Predicting the response to neoadjuvant chemotherapy for breast cancer: wavelet transforming radiomics in MRI.

ABSTRACT: BACKGROUND:The purpose of this study was to investigate the value of wavelet-transformed radiomic MRI in predicting the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) for patients with locally advanced breast cancer (LABC). METHODS:Fifty-five female patients with LABC who underwent contrast-enhanced MRI (CE-MRI) examination prior to NAC were collected for the retrospective study. According to the pathological assessment after NAC, patient responses to NAC were categorized into pCR and non-pCR. Three groups of radiomic textures were calculated in the segmented lesions, including (1) volumetric textures, (2) peripheral textures, and (3) wavelet-transformed textures. Six models for the prediction of pCR were Model I: group (1), Model II: group (1) + (2), Model III: gro

SUBMITTER: Zhou J 

PROVIDER: S-EPMC7003343 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature