基于骨密度和临床特征分析的老年髋部骨折 CT影像特征及危 险因素预测

CT imaging characteristics and risk factor prediction of elderly hip fracture based on analysis of bone density and clinical characteristics

目的探讨基于骨密度和临床特征分析老年髋部骨折CT影像特征及危险因素预测模型构建。方法选取2020年2月~2023年2月南京市溧水区人民医院收治的60例老年髋部骨折患者作为研究组,另选同期在本院体检的50例老年健康志愿者作为对照组,通常采用定量CT方法测量骨骼的CT值并将其转换为骨密度值进行分析。计算髋部和脊柱的骨密度Z值和T值,通过分析骨密度、年龄、性别、身高、体质量、BMI等临床特征,建立一个预测模型以评估老年髋部骨折的风险。结果CT影像图显示,体积骨密度下降的妇女更容易发生骨折,且骨折类型可能更加多样化。在体积骨密度下降的患者中,骨折周围软组织可能更容易受损;单因素分析结果显示,两组年龄、体质量、身高、BMI、髋部骨密度和脊柱骨密度Z值和T值的差异有统计学意义(P<0.05),不同性别、缺乏运动、营养不良、吸烟和饮酒、家族遗传史例数的差异有统计学意义(P<0.05);建模分析结果显示,年龄、性别、体质量、身高、BMI、缺乏运动、营养不良、吸烟和饮酒、家族遗传史、脊柱骨密度Z值、脊柱骨密度T值均是影响老年髋部骨折的高危因素(P<0.05)。结论通过分析骨密度和临床特征,可以更好地了解老年髋部骨折的CT影像特征和危险因素,从而提高预测和治疗的效果,预测老年髋部骨折的风险,有助于制定针对性的预防措施,以降低髋部骨折的风险。

Objective To explore the construction of a CT imaging feature and risk factor prediction model for elderly hip fractures based on bone density and clinical feature analysis.Methods Sixty elderly patients with hip fractures admitted to Lishui District People's Hospital in Nanjing from February 2020 to February 2023 were selected as the study group,and 50 elderly healthy volunteers who underwent physical examinations in our hospital during the same period were selected as the control group.Usually,quantitative CT methods are used to measure the CT values of bones and convert them into bone density values for analysis.Calculate the Z and T values of bone density in the hip and spine,and establish a predictive model to evaluate the risk of hip fractures in the elderly by analyzing clinical features such as bone density,age,gender,height,weight,BMI.Results CT imaging showed that women with decreased vBMD may be more prone to fractures,and the types of fractures may be more diverse.In patients with decreased vBMD,the soft tissue around the fracture may be more susceptible to damage;The results of univariate analysis showed that there were statistical differences between the two groups in terms of age,weight,height,BMI,hip bone density,spinal bone density Z values and T values(P<0.05).There were also statistical differences between different genders,lack of exercise,malnutrition,smoking and drinking,and family genetic history cases(P<0.05);The modeling analysis results showed that age,gender,weight,height,BMI,lack of exercise,malnutrition,smoking and drinking,family genetic history,spinal bone density Z value,and spinal bone density T value were all high-risk factors affecting elderly hip fractures(P<0.05).Conclusion By analyzing bone density and clinical features,we can better understand the CT imaging features and risk factors of hip fractures in the elderly,thereby improving the prediction and treatment effectiveness,predicting the risk of hip fractures in the elderly,and developing targeted preventive measures to reduce the risk of hip fractures.