Article
Value of contrast-enhanced CT based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with KIT exon 11 mutation: a two-center study.
Diagnostic and interventional radiology (Ankara, Turkey) - 1 Jan 2022
Liu Bo, Liu Hao, Zhang Lequan, Song Yancheng, Yang Shifeng, Zheng Ziwen, Zhao Junjiang, Hou Feng, Zhang Jian
Abstract excerpt
PURPOSE Knowing the genetic phenotype of gastrointestinal stromal tumors (GISTs) is essential for patients who receive therapy with tyrosine kinase inhibitors. The aim of this study was to develop a radiomic algorithm for predicting GISTs with KIT exon 11 mutation. METHODS We enrolled 106 patients (80 in the training set, 26 in the validation set) with clinicopathologically confirmed GISTs from two centers....
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