Value of contrast-enhanced CT based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with KIT exon 11 mutation: a two-center study.

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 (...

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Publicado en:	Diagnostic & Interventional Radiology Vol. 28; no. 1; pp. 29 - 39
Autores principales:	Bo Liu, Hao Liu, Lequan Zhang, Yancheng Song, Shifeng Yang, Ziwen Zheng, Junjiang Zhao, Feng Hou, Jian Zhang, Liu, Bo, Liu, Hao, Zhang, Lequan, Song, Yancheng, Yang, Shifeng, Zheng, Ziwen, Zhao, Junjiang, Hou, Feng, Zhang, Jian
Formato:	Journal Article
Publicado:	Galenos Yayinevi Tic. LTD. STI Jan2022
Acceso en línea:	Ver este registro en EBSCOhost