Objective To analyze the application value of a Nomogram model established on clinical and ultrasound features of thyroid in modifying classification results of the Chinese Thyroid Im-aging Reporting and Data System(C-TI-RADS)by ultrasound physicians.Methods The clinico-pathological ultrasound materials of patients with surgical resection for thyroid nodules in Sichuan Pro-vincial People's Hospital(training set,n=841)and Sichuan Mianyang 404 Hospital(external vali-dation set,n=295)from January 2021 to December 2022 were retrospectively analyzed,and preop-erative thyroid ultrasound was used to classify thyroid nodules by C-TI-RADS.Univariate and Multi-variate Logistic regression analyses were used to screen independent predictors in the training set and a Nomogram model was constructed,and Bootstrap resampling was used for internal validation;ultrasound physicians in Sichuan Mianyang 404 Hospital were charged in external verification based on this Nomogram model.Receiver operating characteristic(ROC)curve and calibration curve were drawn to evaluate the efficacy of the model and its clinical value in modifying the classification results by C-TI-RADS.Results Univariate and Multivariate Logistic regression analyses showed that gender,age,maxi-mum diameter of nodules,the number of nodules,ultrasound abnormalities of cervical lymph nodes and C-TI-RADS classification were the independent factors for predicting the modified classification results of C-TI-RADS by ultrasound physicians(P＜0.05).Consistency index of the Nomogram model constructed based on these factors was 0.842(95％CI,0.816 to 0.867),the area under the curve(AUC)was 0.842,sensitivity was 92.9％,specificity was 63.7％,and accuracy was 75.9％.The prediction results of the Nomogram model were in good agreement with the actual situa-tion in both the training set and the external validation set.Conclusion Nomogram model based on clinical and ultrasound features of thyroid shows good predictive accuracy in modifying classification results of C-TI-RADS by ultrasound physicians,which has potential clinical application value.

Objective To analyze the application value of a Nomogram model established on clinical and ultrasound features of thyroid in modifying classification results of the Chinese Thyroid Im-aging Reporting and Data System(C-TI-RADS)by ultrasound physicians.Methods The clinico-pathological ultrasound materials of patients with surgical resection for thyroid nodules in Sichuan Pro-vincial People's Hospital(training set,n=841)and Sichuan Mianyang 404 Hospital(external vali-dation set,n=295)from January 2021 to December 2022 were retrospectively analyzed,and preop-erative thyroid ultrasound was used to classify thyroid nodules by C-TI-RADS.Univariate and Multi-variate Logistic regression analyses were used to screen independent predictors in the training set and a Nomogram model was constructed,and Bootstrap resampling was used for internal validation;ultrasound physicians in Sichuan Mianyang 404 Hospital were charged in external verification based on this Nomogram model.Receiver operating characteristic(ROC)curve and calibration curve were drawn to evaluate the efficacy of the model and its clinical value in modifying the classification results by C-TI-RADS.Results Univariate and Multivariate Logistic regression analyses showed that gender,age,maxi-mum diameter of nodules,the number of nodules,ultrasound abnormalities of cervical lymph nodes and C-TI-RADS classification were the independent factors for predicting the modified classification results of C-TI-RADS by ultrasound physicians(P＜0.05).Consistency index of the Nomogram model constructed based on these factors was 0.842(95％CI,0.816 to 0.867),the area under the curve(AUC)was 0.842,sensitivity was 92.9％,specificity was 63.7％,and accuracy was 75.9％.The prediction results of the Nomogram model were in good agreement with the actual situa-tion in both the training set and the external validation set.Conclusion Nomogram model based on clinical and ultrasound features of thyroid shows good predictive accuracy in modifying classification results of C-TI-RADS by ultrasound physicians,which has potential clinical application value.

Purpose To construct a nomogram model based on ultrasonographic features and to evaluate its value in differentiating benign from malignant bladder neoplasms.Materials and Methods A total of 538 consecutive bladder neoplasm patients(including 84 benign cases and 454 malignant cases)confirmed by surgery or biopsy pathology from January 2016 to January 2022 were retrospectively enrolled,the ultrasonographic features(including lesion number,location,maximum diameter,echogenicity,morphology,basement,calcification,color Doppler flow imaging signal)and brief clinical data(gender,age,urinary tract malignant tumors history and gross haematuria)were all collected for univariate and multivariate Logistic regression analysis.Independent predictors for malignant bladder neoplasm were screened and nomogram model based on univariate Logistic regression analysis was constructed.Internal validation was performed by Bootstrap resampling.Meanwhile,the receiver operating characteristic curve,calibration curve and decision curve were drawn.Results Univariate and multivariate Logistic regression analysis showed patient gender(OR=1.822,P=0.038),age(OR=1.044,P=0.000),lesion location(OR=0.359,P=0.000)and color Doppler flow imaging signal(OR=2.052,P=0.007)were independent factors in predicting the malignancy of bladder lesions.Area under the curve of the nomogram prediction model based on univariate Logistic regression analysis were 0.780,the sensitivity,specificity and accuracy of the prediction model were 72.91%,71.43%and 72.68%,respectively.The calibration curve and decision curve showed good consistency and clinical practicability of the model.Conclusion The nomogram model based on ultrasonographic features and simple clinical characteristics shows good predictive accuracy in differentiating bladder neoplasms and has potential clinical application value.