Pretreatment MRI Radiomics Based Response Prediction Model in Locally Advanced Cervical Cancer

Pretreatment MRI Radiomics Based Response Prediction Model in Locally Advanced Cervical Cancer

The aim of this study was to create a radiomics model for Locally Advanced Cervical Cancer (LACC) patients to predict pathological complete response (pCR) after neoadjuvant chemoradiotherapy (NACRT) analysing T2-weighted 1.5 T magnetic resonance imaging (MRI) acquired before treatment start. Patient...

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Bibliographic Details
Main Authors: Benedetta Gui, Rosa Autorino, Maura Miccò, Alessia Nardangeli, Adele Pesce, Jacopo Lenkowicz, Davide Cusumano, Luca Russo, Salvatore Persiani, Luca Boldrini, Nicola Dinapoli, Gabriella Macchia, Giuseppina Sallustio, Maria Antonietta Gambacorta, Gabriella Ferrandina, Riccardo Manfredi, Vincenzo Valentini, Giovanni Scambia
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Diagnostics
Subjects:
radiomics
MRI
cervical cancer
pathological response
prediction model
Online Access:https://www.mdpi.com/2075-4418/11/4/631

Internet

https://www.mdpi.com/2075-4418/11/4/631

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