Yunsheng Wang, Mei Dong, Jiali Zhang, Dechao Miao, Feng Wang, Tong Tong, Linfeng Wang
{"title":"放射学参数在评估骨质疏松性椎体压缩骨折患者骨密度和后续骨折中的实用性","authors":"Yunsheng Wang, Mei Dong, Jiali Zhang, Dechao Miao, Feng Wang, Tong Tong, Linfeng Wang","doi":"10.14245/ns.2448310.155","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF).</p><p><strong>Methods: </strong>A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis.</p><p><strong>Results: </strong>CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023-0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97-43.22; p < 0.01).</p><p><strong>Conclusion: </strong>CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.</p>","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11456937/pdf/","citationCount":"0","resultStr":"{\"title\":\"Utility of Radiographic Parameter in Assessing Bone Density and Subsequent Fractures in Patients With Osteoporotic Vertebral Compression Fracture.\",\"authors\":\"Yunsheng Wang, Mei Dong, Jiali Zhang, Dechao Miao, Feng Wang, Tong Tong, Linfeng Wang\",\"doi\":\"10.14245/ns.2448310.155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF).</p><p><strong>Methods: </strong>A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis.</p><p><strong>Results: </strong>CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023-0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97-43.22; p < 0.01).</p><p><strong>Conclusion: </strong>CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.</p>\",\"PeriodicalId\":19269,\"journal\":{\"name\":\"Neurospine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11456937/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neurospine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.14245/ns.2448310.155\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurospine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.14245/ns.2448310.155","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/30 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的研究放射学参数椎管骨比(CBR)评估骨矿密度的能力,以及区分原发性和多发性骨质疏松性椎体压缩骨折(OVCF)患者的能力:方法: 对在本院接受治疗的 OVCF 患者进行回顾性分析。通过全脊柱 X 光片测量 CBR。患者被分为原发性骨折组和多发性骨折组。采用接收者操作特征曲线分析和曲线下面积(AUC)计算来评估参数预测骨质疏松症和多发性骨折的能力。通过多元线性回归分析了T值的预测因素,并通过多元逻辑回归分析确定了多发性骨折的独立风险因素:CBR与双能X射线吸收测量T值呈中度负相关(r = -0.642,p < 0.01)。较高的 CBR(几率比 [OR],-6.483;95% 置信区间 [CI],-8.234 至 -4.732;p < 0.01)和较低的体重指数(OR,0.054;95% CI,0.023-0.086;p < 0.01)是骨质疏松症的独立风险因素。多次骨折患者的T值较低(平均值±标准差[SD]:-3.76±0.73 vs. -2.83±0.75,p < 0.01),CBR较高(平均值±标准差:0.54±0.07 vs. 0.46±0.06,p < 0.01)。CBR 预测多发性骨折的 AUC 为 0.819,阈值为 0.53。T值预测的AUC为0.816,阈值为-3.45。CBR>0.53是多发性骨折的独立风险因素(OR,14.66;95% CI,4.97-43.22;P <0.01):CBR与骨矿物质密度(BMD)呈负相关,可作为一种新的机会性骨矿物质密度评估方法。它是预测多发性骨折的一种简单而有效的测量指标,其预测性能不亚于 T 值。
Utility of Radiographic Parameter in Assessing Bone Density and Subsequent Fractures in Patients With Osteoporotic Vertebral Compression Fracture.
Objective: To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF).
Methods: A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis.
Results: CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023-0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97-43.22; p < 0.01).
Conclusion: CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.