ArticleAnnals of translational medicine2021
Gastrointestinal stromal tumors: associations between contrast-enhanced CT images and KIT exon 11 gene mutation.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Multi-center and multi-reader comparison of abdominopelvic non-contrast and contrast-enhanced CT in the postoperative surveillance of gastrointestinal stromal tumors.Quantitative imaging in medicine and surgery · 2026Article
- Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Pilot Study by Liquid Biopsy in Gastrointestinal Stromal Tumors: Analysis ofInternational journal of molecular sciences · 2024Article
- Computed tomography radiogenomics: A potential tool for prediction of molecular subtypes in gastric stromal tumor.World journal of gastrointestinal oncology · 2024Article
- A mutation-based radiomics signature predicts response to imatinib in Gastrointestinal Stromal Tumors (GIST).European journal of radiology open · 2023Article
- Personalized radiomics signature to screen for KIT-11 mutation genotypes among patients with gastrointestinal stromal tumors: a retrospective multicenter study.Journal of translational medicine · 2023Article
- Computed tomography texture-based models for predicting KIT exon 11 mutation of gastrointestinal stromal tumors.Heliyon · 2023Article
- Molecular landscape and clinical significance of exon 11 mutations in KIT gene among patients with gastrointestinal stromal tumor: a retrospective exploratory study.Frontiers in oncology · 2023Article
- Clinical-radiomics-based treatment decision support for KIT Exon 11 deletion in gastrointestinal stromal tumors: a multi-institutional retrospective study.Frontiers in oncology · 2023Article
- Early Prediction and Monitoring of Treatment Response in Gastrointestinal Stromal Tumors by Means of Imaging: A Systematic Review.Diagnostics (Basel, Switzerland) · 2022Review
- Deep learning and radiomics to predict the mitotic index of gastrointestinal stromal tumors based on multiparametric MRI.Frontiers in oncology · 2022Article
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMutation screening for gastrointestinal stromal tumor (GIST) is crucial and the c kit gene (KIT) exon 11 mutation is the most common type. This study aimed to explore the associations between GIST with KIT exon 11 mutation and contrast-enhanced computed tomography (CT) images.
methodsPathologically proven GISTs with definitive genotype testing results in our hospital were retrospectively included. Abdominal contrast-enhanced CT images were analyzed. Conventional CT image features and radiomic features were recorded and extracted to build the following models: model
resultsIn total, 327 GISTs (255 with KIT exon 11 mutation, and 73 with KIT exon 11 mutation deletion involving codons 557-558) were included. Significant CT features were found for GISTs with KIT exon 11 mutation. The area under curves (AUCs) of the models for KIT exon 11 mutation were 0.7158, 0.7530, and 0.8375 in the training cohort, and 0.6777, 0.7349, and 0.8105 in validation cohort, respectively. The AUCs of the models for KIT exon 11 mutation deletion involving codons 557-558 were 0.7155, 8621, and 0.8691 in the training cohort, and 0.7099, 0.8355, and 0.8488 in the validation cohort, respectively. The model
conclusionsOur results demonstrated the associations between GIST with KIT exon 11 mutation and contrast-enhanced CT images. We found combing conventional image analysis and texture analysis is a useful tool to distinguish GIST with KIT exon 11 mutation. CT radiogenomics exhibited good application potential in predict the KIT exon 11 mutation of GIST.
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