scholarly journals Value of CT-Based Texture Analysis in Preoperative Prediction of the Grade of Gastrointestinal Stromal Tumors Compared to Conventional CT Imaging

2019 ◽  
Vol 16 (4) ◽  
Author(s):  
Caiyue Ren ◽  
Shengping Wang ◽  
Shengjian Zhang ◽  
Zhaoxia Jiang
2021 ◽  
Vol 11 ◽  
Author(s):  
Yilei Zhao ◽  
Meibao Feng ◽  
Minhong Wang ◽  
Liang Zhang ◽  
Meirong Li ◽  
...  

PurposeThis study established and verified a radiomics model for the preoperative prediction of the Ki67 index of gastrointestinal stromal tumors (GISTs).Materials and MethodsA total of 344 patients with GISTs from three hospitals were divided into a training set and an external validation set. The tumor region of interest was delineated based on enhanced computed-tomography (CT) images to extract radiomic features. The Boruta algorithm was used for dimensionality reduction of the features, and the random forest algorithm was used to construct the model for radiomics prediction of the Ki67 index. The receiver operating characteristic (ROC) curve was used to evaluate the model’s performance and generalization ability.ResultsAfter dimensionality reduction, a feature subset having 21 radiomics features was generated. The generated radiomics model had an the area under curve (AUC) value of 0.835 (95% confidence interval(CI): 0.761–0.908) in the training set and 0.784 (95% CI: 0.691–0.874) in the external validation cohort.ConclusionThe radiomics model of this study had the potential to predict the Ki67 index of GISTs preoperatively.


2011 ◽  
Vol 42 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Said Abdel-Monem ◽  
Moanes M. Enaba ◽  
Tamir A. Hassan ◽  
Mohamed A. Attya

2011 ◽  
Vol 2011 ◽  
pp. 1-4 ◽  
Author(s):  
Antonella Stefanelli ◽  
Giorgio Treglia ◽  
Paoletta Mirk ◽  
Barbara Muoio ◽  
Alessandro Giordano

Aim. 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) is a powerful tool for staging and defining “good responders” to chemotherapy in tumor setting. Gastrointestinal stromal tumors (GISTs) are sarcoma involving gastrointestinal tract and may require a chemotherapy including imatinib, a tyrosine kinase inhibitor agent. Some GIST patients become refractory to imatinib; therefore, other tyrosine kinase inhibitors or concomitant chemotherapy may be considered for treatment. The aim of this paper is to assess if 18F-FDG PET imaging is a useful tool to evaluate treatment response to new chemotherapies beyond imatinib for GIST patients. Methods. We performed a review of the literature about the role of 18F-FDG PET in the evaluation of treatment response to new chemotherapies beyond imatinib for GIST patients. Results and Conclusions. 18F-FDG PET seems to be able to assess therapy response earlier than computed tomography (CT) imaging in imatinib refractory GIST patients treated with other agents. However, a dual modality PET-CT imaging is recommendable to achieve a better detection of all lesions.


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