Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma

Journal of Magnetic Resonance Imaging : JMRI
Jia LiuBaosheng Li

Abstract

To explore the clinical potential of texture analysis using contrast-enhanced 3.0T magnetic resonance imaging (MRI) for predicting the therapeutic response of nasopharyngeal carcinoma (NPC) to chemoradiotherapy. The dataset comprised pretreatment T1 -, T2 -, and diffusion-weighted MR images from 53 eligible patients with newly diagnosed NPC. The patients were divided into two sets: the training set including 31 responders and 11 nonresponders and the testing set including eight responders and three nonresponders. The region of interest (ROI) was delineated by two radiologists for each sequence. Quantitative image parameters were extracted and statistically filtered to identify a subset of reproducible and nonredundant parameters that were used to construct the predictive model. The internal validation was performed using stratified 10-fold cross-validation in the training set and the external validation was performed in the testing set. McNemar's test was used to test the statistical difference between the performances of the extracted parameters in predicting the treatment response. All three parameter sets showed potential in predicting treatment response with high accuracy (T1 : 0.952/0.939, T2 : 0.904/0.905, diffusion-weigh...Continue Reading

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Citations

Oct 30, 2016·International Journal of Hyperthermia : the Official Journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group·Arnaud HocqueletHervé Trillaud
Nov 26, 2016·The British Journal of Radiology·Elisa Scalco, Giovanna Rizzo
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Jul 27, 2021·Frontiers in Oncology·Maryam GulAmmar A Chaudhry

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