  Distinguishing gastrointestinal stromal tumors (GISTs) from other
intra-abdominal tumors and GISTs molecular analysis is necessary for treatment
planning, but challenging due to its rarity. The aim of this study was to
evaluate radiomics for distinguishing GISTs from other intra-abdominal tumors,
and in GISTs, predict the c-KIT, PDGFRA,BRAF mutational status and mitotic
index (MI). All 247 included patients (125 GISTS, 122 non-GISTs) underwent a
contrast-enhanced venous phase CT. The GIST vs. non-GIST radiomics model,
including imaging, age, sex and location, had a mean area under the curve (AUC)
of 0.82. Three radiologists had an AUC of 0.69, 0.76, and 0.84, respectively.
The radiomics model had an AUC of 0.52 for c-KIT, 0.56 for c-KIT exon 11, and
0.52 for the MI. Hence, our radiomics model was able to distinguish GIST from
non-GISTS with a performance similar to three radiologists, but was not able to
predict the c-KIT mutation or MI.
