Preoperative prediction of microsatellite instability status: development and validation of a pan-cancer PET/CT-based radiomics model

被引:0
作者
Wang, Menglu [1 ]
Peng, Mengye [1 ]
Yang, Xinyue [1 ]
Zhang, Ying [1 ]
Wu, Tingting [1 ]
Wang, Zeyu [2 ]
Wang, Kezheng [1 ]
机构
[1] Harbin Med Univ, Dept PET CT, Canc Hosp, 150 Haping Rd, Harbin 150081, Heilongjiang, Peoples R China
[2] Harbin Med Univ, Affiliated Hosp 1, Harbin, Peoples R China
关键词
colon neoplasms; gastric neoplasms; lung neoplasms; microsatellite status; radiomics; CHEMOTHERAPY; STATISTICS; CRITERIA;
D O I
10.1097/MNM.0000000000001816
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectiveThe purpose of this study is to verify the feasibility of preoperative prediction of patients' microsatellite instability status by applying a PET/CT-based radiation model.MethodsThis retrospective study ultimately included 142 patients. Three prediction models have been developed. The predictive performance of all models was evaluated by the receiver operating characteristic curve and area under the curve values. The PET/CT radiological histology score (Radscore) was calculated to evaluate the microsatellite instability status, and the corresponding nomogram was established. The correlation between clinical factors and radiological characteristics was analyzed to verify the value of radiological characteristics in predicting microsatellite instability status.ResultsTwelve features were retained to establish a comprehensive prediction model of radiological and clinical features. M phase of the tumor has been proven to be an independent predictor of microsatellite instability status. The receiver operating characteristic results showed that the area under the curve values of the training set and the validation set of the radiomics model were 0.82 and 0.75, respectively. The sensitivity, specificity, positive predictive value and negative predictive value of the training set were 0.72, 0.78, 0.83 and 0.66, respectively. The sensitivity, specificity, positive predictive value and negative predictive value of the validation set were 1.00, 0.50, 0.76 and 1.00, respectively. The risk of patients with microsatellite instability was calculated by Radscore and nomograph, and the cutoff value was -0.4385. The validity of the results was confirmed by the decision and calibration curves.ConclusionRadiological models based on PET/CT can provide clinical and practical noninvasive prediction of microsatellite instability status of several different cancer types, reducing or avoiding unnecessary biopsy to a certain extent.
引用
收藏
页码:372 / 380
页数:9
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