| 赵凡,娄宏达,吴薇娜,常英伟,耿华,贾丽美,李桂平,李玉萍.MRI影像组学预测中度腕管综合征术后预后[J].中国医学影像技术,2025,41(6):963~966 |
| MRI影像组学预测中度腕管综合征术后预后 |
| MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome |
| 投稿时间：2024-11-22 修订日期：2025-05-24 |
| DOI：10.13929/j.issn.1003-3289.2025.06.024 |
| 中文关键词: 腕管综合征 预后 磁共振成像 影像组学 |
| 英文关键词:carpal tunnel syndrome prognosis magnetic resonance imaging radiomics |
| 基金项目:承德市科技计划项目(202204A030)。 |
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| 中文摘要: |
| 目的 观察MRI影像组学模型预测中度腕管综合征(CTS)术后预后的价值。方法 回顾性纳入126例接受内镜下松解术的中度CTS患者,术前均接受脂肪抑制质子密度加权成像(PDWI),依据术后功能将其分为预后良好组(n=80)及预后欠佳组(n=46),并以7[DK(]∶[DK)]3比例随机划分训练集与验证集。于患侧腕部脂肪抑制PDWI中勾画正中神经ROI,获得其感兴趣容积(VOI)并提取影像组学特征,在训练集中筛选与CTS术后预后相关的特征。建立临床模型、影像组学模型及其联合模型,以受试者工作特征(ROC)曲线下面积(AUC)评估模型预测效能并加以比较。结果 预后欠佳组患者年龄高于预后良好组(P＜0.05),基于年龄构建临床模型。基于6个与CTS术后预后相关的影像组学特征构建的影像组学模型在验证集的预测效能(AUC=0.872)高于临床模型(AUC=0.604,P＜0.05)而与联合模型(AUC=0.905)差异无统计学意义(P＞0.05)。结论 MRI影像组学模型可有效预测中度CTS术后预后。 |
| 英文摘要: |
| 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. |
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