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Dataset Information

A mutation-based radiomics signature predicts response to imatinib in Gastrointestinal Stromal Tumors (GIST).


ABSTRACT:

Objectives

To develop a mutation-based radiomics signature to predict response to imatinib in Gastrointestinal Stromal Tumors (GISTs).

Methods

Eighty-two patients with GIST were enrolled in this retrospective study, including 52 patients from one center that were used to develop the model, and 30 patients from a second center to validate it. Reference standard was the mutational status of tyrosine-protein kinase (KIT) and platelet-derived growth factor α (PDGFRA). Patients were dichotomized in imatinib sensitive (group 0 - mutation in KIT or PDGFRA, different from exon 18-D842V), and imatinib non-responsive (group 1 - PDGFRA exon 18-D842V mutation or absence of mutation in KIT/PDGFRA). Initially, 107 texture features were extracted from the tumor masks of baseline computed t

SUBMITTER: Cappello G 

PROVIDER: S-EPMC10362081 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature