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基于CT参数的列线图预测运动员桡骨远端骨折风险 被引量:3

Nomogram Based on CT Parameters to Perdict the Risk of Distalradius Fracture in Athletes
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摘要 本文探讨基于定量CT参数构建体操运动员桡骨远端骨折发生风险。招募135名疑似桡骨远端骨折的前臂外伤体操运动员作为研究对象,根据是否发生桡骨远端骨折分为发生组(n=20)和未发生组(n=115)。统计两组一般资料、定量CT参数[骨折端力学强度指数(BSI)、皮质骨骨密度(cBMD)]及影像特征,Logistic回归方程分析体操运动员骨折桡骨远端骨折发生影响因素,构建列线图预测模型,并验证预测效果。结果发现,运动前准备活动、佩戴防护措施、BSI、cBMD、背侧骨块厚度是体操运动员桡骨远端骨折发生风险的影响因素(P<0.05);列线图模型共纳入5个影响因素,C-index为0.899,Bootstrap自抽样法显示预测值与实际观测值基本一致;ROC曲线显示,列线图预测模型的AUC为0.815(95%CI:0.638~0.863)。由此可见,基于定量CT参数构建体操运动员桡骨远端骨折发生风险的列线图模型具有良好预测效能,有利于指导临床诊治。 This paper explored the risk of distal radius fracture in gymnasts based on quantitative CT parameters.A total of 135 forearm trauma gymnasts with suspected distal radius fractures were recruited as the research objects,and divided into the occurrence group(n=20)and the non-occurrence group(n=115)according to whether the distal radius fracture occurred or not.The general data,quantitative CT parameters[bone scan index(BSI),cortical bone mineral density(cBMD)]and imaging characteristics of the two groups were counted,and the Logistic regression equation was used to analyze the influencing factors of distal radius fractures in gymnasts,and a nomogram was constructed.Predict the model and verify the prediction effect.The results showed that pre-exercise preparation activities,wearing protective measures,BSI,cBMD,and dorsal bone fragment thickness were the influencing factors of the risk of distal radius fractures in gymnasts(P<0.05).A total of 5 influencing factors were included in the nomogram model,and the C-index was 0.899.The Bootstrap self-sampling method showed that the predicted value was basically consistent with the actual observed value;the ROC curve showed that the AUC of the nomogram prediction model was 0.815(95%CI:0.638-0.863).It is concluded that the construction of a nomogram model for the risk of distal radius fractures in gymnasts based on quantitative CT parameters has good predictive performance,which is beneficial to guiding clinical diagnosis and treatment.
作者 李铁心 刘长坯 LI Tiexin;LIU Changpi(College of Physical Education,Zhengzhou University of Industrial Technology,Xinzheng 451150,Henan,P.R.China;Department of Joint and Sports Medicine,Chinese Medicine Hospital of Puyang,Puyang 457001,Henan,P.R.China)
出处 《影像科学与光化学》 CAS 北大核心 2022年第6期1628-1632,共5页 Imaging Science and Photochemistry
基金 湖北省休闲体育发展研究中心2020年度开放基金课题(2020Y024).
关键词 体操运动员 桡骨远端骨折 定量CT参数 列线图模型 gymnast distal radius fracture quantitative CT parameters nomogram model
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