MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome
10.13929/j.issn.1003-3289.2025.06.024
- VernacularTitle:MRI影像组学预测中度腕管综合征术后预后
- Author:
Fan ZHAO
1
;
Hongda LOU
;
Weina WU
;
Yingwei CHANG
;
Hua GENG
;
Limei JIA
;
Guiping LI
;
Yuping LI
Author Information
1. 承德医学院附属医院放射科,河北承德 067000
- Publication Type:Journal Article
- Keywords:
carpal tunnel syndrome;
prognosis;
magnetic resonance imaging;
radiomics
- From:
Chinese Journal of Medical Imaging Technology
2025;41(6):963-966
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome(CTS).Methods A total of 126 patients with moderate CTS who underwent endoscopic release and fat-suppressed proton density weighted imaging(PDWI)before operation were retrospectively enrolled.The patients were divided into good prognosis group(n=80)and poor prognosis group(n=46)based on postoperative functional evaluation,also randomly divided into training set and validation set at a ratio of 7∶3.Volume of interest(VOI)of the median nerve was obtained through delineating ROI of the affected wrist on fat suppressed PDWI.Radiomics features were extracted,and those associated with postoperative prognosis of CTS were screened in training set.Clinical prediction model,radiomics model and combined model of these two were established,and the predictive efficacy of the models were evaluated and compared according to the area under the curve(AUC)of receiver operating characteristic(ROC)curve.Results Patients in poor prognosis group were older than in good prognosis group(P＜0.05).A clinical model was constructed based on age.The radiomics model was constructed based on 6 radiomics features associated with postoperative prognosis of CTS,with predictive efficacy(AUC=0.872)higher than that of clinical model(AUC=0.604,P＜0.05)but not significantly different with that of the combined model(AUC=0.905,P＞0.05).Conclusion MRI radiomics model could be used to effectively predict postoperative prognosis of moderate CTS.
