Radiomic analysis in T2W and SPAIR T2W MRI: predict treatment response to chemoradiotherapy in esophageal squamous cell carcinoma

Journal of Thoracic Disease
Zhen HouSuiren Wan

Abstract

To investigate the capability of radiomic analysis using T2-weighted (T2W) and spectral attenuated inversion-recovery T2-weighted (SPAIR T2W) magnetic resonance imaging (MRI) for predicting the therapeutic response of esophageal squamous cell carcinoma (ESCC) to chemoradiotherapy (CRT). Pretreatment T2W- and SPAIR T2W-MRI of 68 ESCC patients (37 responders, 31 nonresponders) were analyzed. A number of 138 radiomic features were extracted from each image sequence respectively. Kruskal-Wallis test were performed to evaluate the capability of each feature on treatment response classification. Sensitivity and specificity for each of the studied features were derived using receiver operating characteristic (ROC) analysis. Support vector machine (SVM) and artificial neural network (ANN) models were constructed based on the training set (23 responders, 20 nonresponders) for the prediction of treatment response, and then the testing set (14 responders, 11 nonresponders) validated the reliability of the models. Comparison between the performances of the models was performed by using McNemar's test. Radiomic analysis showed significance in the prediction of treatment response. The analyses showed that complete responses (CRs) versus stab...Continue Reading

Citations

Oct 31, 2018·Radiological Physics and Technology·Hidetaka ArimuraMasahiro Yamada
Jan 24, 2020·Medical Physics·Elisa ScalcoGiovanna Rizzo
Jun 20, 2019·European Journal of Nuclear Medicine and Molecular Imaging·Martina SolliniMargarita Kirienko
Dec 17, 2020·European Journal of Nuclear Medicine and Molecular Imaging·Nina J WesdorpGeert Kazemier
Jun 24, 2019·BJR Open·Michela GabelloniEmanuele Neri
Mar 17, 2021·Best Practice & Research. Clinical Obstetrics & Gynaecology·N M deSouza
Jul 7, 2021·International Journal of Radiation Oncology, Biology, Physics·Xiaoqin LiBaosheng Li
Aug 10, 2021·World Journal of Gastroenterology : WJG·M Alvaro BerbísAntonio Luna

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