Timothy Carlson , Aaron Beck , James Kohler , Samuel Mosiman , Brian Nickel
{"title":"反门:全膝关节置换术中骨质量的术前x线评估与骨矿物质密度相关","authors":"Timothy Carlson , Aaron Beck , James Kohler , Samuel Mosiman , Brian Nickel","doi":"10.1016/j.jor.2025.03.052","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>There has been an increase in cementless total knee arthroplasty (TKA) across the country. Although radiographic classification systems of the knee exist, these algorithms have not been correlated to bone mineral density (BMD). We aimed to correlate radiographic measurements of the knee with preoperative BMD and develop a model predictive of osteopenia.</div></div><div><h3>Materials and methods</h3><div>We prospectively enrolled 100 patients, scheduled to undergo elective TKA, to obtain a preoperative dual energy x-ray absorptiometry (DEXA) scan. Four independent surgeons measured cortical indices of the knee on preoperative radiographs and correlated these ratios with local BMD. Intraclass correlations (ICC) were used to assess interobserver reliability and Pearson correlation coefficients (PCC) to describe the strength of relationship between BMD and radiographic ratios. A “Reverse Dorr” model was created to evaluate the ratio of the distal femur cortical indices. Logistic regression was used to predict the odds of having osteopenia.</div></div><div><h3>Results</h3><div>We found several cortical ratios of the knee correlated with bone mineral density, but the lateral radiograph had the highest correlation. All measurements showed, at a minimum, fair interobserver reliability with most achieving an ICC >0.81. The proximal femur, distal femur ratio, “Reverse Dorr” model, was found to be a strong predictor of osteopenia with an ROC of 0.7335.</div></div><div><h3>Conclusions</h3><div>This radiographic assessment demonstrates that cortical thickness of the knee is correlated with bone mineral density—most notably on the lateral radiograph. Utilization of the “Reverse Dorr” model was strongly predictive of osteopenia and may help guide implant selection.</div></div>","PeriodicalId":16633,"journal":{"name":"Journal of orthopaedics","volume":"70 ","pages":"Pages 138-144"},"PeriodicalIF":1.5000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Reverse Dorr: Preoperative radiographic evaluation of bone quality correlates to bone mineral density in total knee arthroplasty\",\"authors\":\"Timothy Carlson , Aaron Beck , James Kohler , Samuel Mosiman , Brian Nickel\",\"doi\":\"10.1016/j.jor.2025.03.052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>There has been an increase in cementless total knee arthroplasty (TKA) across the country. Although radiographic classification systems of the knee exist, these algorithms have not been correlated to bone mineral density (BMD). We aimed to correlate radiographic measurements of the knee with preoperative BMD and develop a model predictive of osteopenia.</div></div><div><h3>Materials and methods</h3><div>We prospectively enrolled 100 patients, scheduled to undergo elective TKA, to obtain a preoperative dual energy x-ray absorptiometry (DEXA) scan. Four independent surgeons measured cortical indices of the knee on preoperative radiographs and correlated these ratios with local BMD. Intraclass correlations (ICC) were used to assess interobserver reliability and Pearson correlation coefficients (PCC) to describe the strength of relationship between BMD and radiographic ratios. A “Reverse Dorr” model was created to evaluate the ratio of the distal femur cortical indices. Logistic regression was used to predict the odds of having osteopenia.</div></div><div><h3>Results</h3><div>We found several cortical ratios of the knee correlated with bone mineral density, but the lateral radiograph had the highest correlation. All measurements showed, at a minimum, fair interobserver reliability with most achieving an ICC >0.81. The proximal femur, distal femur ratio, “Reverse Dorr” model, was found to be a strong predictor of osteopenia with an ROC of 0.7335.</div></div><div><h3>Conclusions</h3><div>This radiographic assessment demonstrates that cortical thickness of the knee is correlated with bone mineral density—most notably on the lateral radiograph. Utilization of the “Reverse Dorr” model was strongly predictive of osteopenia and may help guide implant selection.</div></div>\",\"PeriodicalId\":16633,\"journal\":{\"name\":\"Journal of orthopaedics\",\"volume\":\"70 \",\"pages\":\"Pages 138-144\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of orthopaedics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0972978X25001175\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of orthopaedics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0972978X25001175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
The Reverse Dorr: Preoperative radiographic evaluation of bone quality correlates to bone mineral density in total knee arthroplasty
Background
There has been an increase in cementless total knee arthroplasty (TKA) across the country. Although radiographic classification systems of the knee exist, these algorithms have not been correlated to bone mineral density (BMD). We aimed to correlate radiographic measurements of the knee with preoperative BMD and develop a model predictive of osteopenia.
Materials and methods
We prospectively enrolled 100 patients, scheduled to undergo elective TKA, to obtain a preoperative dual energy x-ray absorptiometry (DEXA) scan. Four independent surgeons measured cortical indices of the knee on preoperative radiographs and correlated these ratios with local BMD. Intraclass correlations (ICC) were used to assess interobserver reliability and Pearson correlation coefficients (PCC) to describe the strength of relationship between BMD and radiographic ratios. A “Reverse Dorr” model was created to evaluate the ratio of the distal femur cortical indices. Logistic regression was used to predict the odds of having osteopenia.
Results
We found several cortical ratios of the knee correlated with bone mineral density, but the lateral radiograph had the highest correlation. All measurements showed, at a minimum, fair interobserver reliability with most achieving an ICC >0.81. The proximal femur, distal femur ratio, “Reverse Dorr” model, was found to be a strong predictor of osteopenia with an ROC of 0.7335.
Conclusions
This radiographic assessment demonstrates that cortical thickness of the knee is correlated with bone mineral density—most notably on the lateral radiograph. Utilization of the “Reverse Dorr” model was strongly predictive of osteopenia and may help guide implant selection.
期刊介绍:
Journal of Orthopaedics aims to be a leading journal in orthopaedics and contribute towards the improvement of quality of orthopedic health care. The journal publishes original research work and review articles related to different aspects of orthopaedics including Arthroplasty, Arthroscopy, Sports Medicine, Trauma, Spine and Spinal deformities, Pediatric orthopaedics, limb reconstruction procedures, hand surgery, and orthopaedic oncology. It also publishes articles on continuing education, health-related information, case reports and letters to the editor. It is requested to note that the journal has an international readership and all submissions should be aimed at specifying something about the setting in which the work was conducted. Authors must also provide any specific reasons for the research and also provide an elaborate description of the results.