Nomogram Based on Ultrasonographic Features in Differentiating Benign from Malignant Bladder Neoplasms
10.3969/j.issn.1005-5185.2024.08.016
- VernacularTitle:基于超声特征的列线图模型鉴别诊断膀胱隆起样病变良恶性的价值
- Author:
Jing ZHANG
1
;
Yu LIANG
;
Erxi FAN
;
Tong XU
;
Xuan LI
;
Fuhong HUANG
;
Jun SONG
;
Juan LIU
Author Information
1. 四川省医学科学院·四川省人民医院超声科,四川 成都 610072
- Keywords:
Urinary bladder neoplasms;
Ultrasonography;
Nomograms;
Diagnosis,differential;
Forecasting
- From:
Chinese Journal of Medical Imaging
2024;32(8):841-844
- CountryChina
- Language:Chinese
-
Abstract:
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.
