Grigory A Manyak, Bryan O Ren, William Z Morris, Raymond W Liu
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Multivariate logistic regressions were performed on significant variables in univariate analysis to examine the predictive ability of anthropometric variables to cam morphology.</p><p><strong>Results: </strong>Cam morphology was identified in 242 hips via AA, 344 hips via AFNO, and 123 hips via both measures. Multivariate logarithmic regression analysis demonstrated that sex negatively predicted AA (females with less pathology, β = -0.14, P = .04), race negatively predicted AA (Blacks with less pathology, β = -0.21, P < .01), and proximal femoral osteoarthritis was positively associated with AA (β = 0.16, P = .02), while none of these were associated with AFNO. On the other hand, right-side specimens were associated with AA (β = 0.15, P = .02) and AFNO (β = 0.25, P < .01), whereas the combined version was unassociated with both measures.</p><p><strong>Conclusions: </strong>In conclusion, cam morphology was identified in a modest percentage of osteologic specimens by both AA and AFNO in our study. Further, associations of multiple demographic, anthropometric, and anatomical parameters to AA and AFNO suggest they may identify different subsets of cam morphology.</p><p><strong>Clinical relevance: </strong>Cam morphology identified by AA versus AFNO may represent 2 different pathologic entities. Future studies should assess differences between these measures in a clinical cohort and determine whether these 2 definitions of cam morphology identify different clinical populations.</p>","PeriodicalId":55459,"journal":{"name":"Arthroscopy-The Journal of Arthroscopic and Related Surgery","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Alpha Angle and Anterior Femoral Neck Offset Identify Different Cohorts of Cam Morphology: An Osteologic Study.\",\"authors\":\"Grigory A Manyak, Bryan O Ren, William Z Morris, Raymond W Liu\",\"doi\":\"10.1016/j.arthro.2024.07.016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To explore differences in cam morphology defined by alpha angle (AA) and anterior femoral neck offset (AFNO) in the context of other anthropometric parameters in an osteologic collection to further elucidate whether each measurement tool is identifying the same underlying pathology.</p><p><strong>Methods: </strong>Anthropometric measurements of 992 cadaveric hips from the Hamann-Todd Osteological Collection were analyzed. Femurs with cam morphology were identified by AA >55° or AFNO <7 mm. Anthropometric parameters stratified by cam morphology were assessed with Wilcoxon rank-sum and Pearson χ<sup>2</sup> tests. Multivariate logistic regressions were performed on significant variables in univariate analysis to examine the predictive ability of anthropometric variables to cam morphology.</p><p><strong>Results: </strong>Cam morphology was identified in 242 hips via AA, 344 hips via AFNO, and 123 hips via both measures. Multivariate logarithmic regression analysis demonstrated that sex negatively predicted AA (females with less pathology, β = -0.14, P = .04), race negatively predicted AA (Blacks with less pathology, β = -0.21, P < .01), and proximal femoral osteoarthritis was positively associated with AA (β = 0.16, P = .02), while none of these were associated with AFNO. On the other hand, right-side specimens were associated with AA (β = 0.15, P = .02) and AFNO (β = 0.25, P < .01), whereas the combined version was unassociated with both measures.</p><p><strong>Conclusions: </strong>In conclusion, cam morphology was identified in a modest percentage of osteologic specimens by both AA and AFNO in our study. Further, associations of multiple demographic, anthropometric, and anatomical parameters to AA and AFNO suggest they may identify different subsets of cam morphology.</p><p><strong>Clinical relevance: </strong>Cam morphology identified by AA versus AFNO may represent 2 different pathologic entities. 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引用次数: 0
摘要
目的:本研究的目的是结合骨学收藏品中的其他人体测量参数,探讨由α角和股骨颈前偏移量定义的凸轮形态的差异,以进一步阐明每种测量工具是否能识别相同的潜在病理:方法: 分析了哈曼-托德骨质收藏馆中992个尸体髋关节的人体测量数据。通过AA>55°或AFNO确定股骨有凸轮形态:242个髋关节通过AA、344个髋关节通过AFNO、123个髋关节通过这两种测量方法确定了凸轮形态。多变量对数回归分析表明,性别对 AA 有负向预测作用(女性病变较少,β= -0.14,p= 0.04),种族对 AA 有负向预测作用(黑人病变较少,β= -0.21,p= 0.04):总之,在我们的研究中,AA 和 AFNO 在一定比例的骨标本中发现了凸轮形态。此外,多种人口统计学、人体测量学和解剖学参数与α角和股骨颈前偏移的关联表明,它们可能识别出不同的凸轮形态子集。
Alpha Angle and Anterior Femoral Neck Offset Identify Different Cohorts of Cam Morphology: An Osteologic Study.
Purpose: To explore differences in cam morphology defined by alpha angle (AA) and anterior femoral neck offset (AFNO) in the context of other anthropometric parameters in an osteologic collection to further elucidate whether each measurement tool is identifying the same underlying pathology.
Methods: Anthropometric measurements of 992 cadaveric hips from the Hamann-Todd Osteological Collection were analyzed. Femurs with cam morphology were identified by AA >55° or AFNO <7 mm. Anthropometric parameters stratified by cam morphology were assessed with Wilcoxon rank-sum and Pearson χ2 tests. Multivariate logistic regressions were performed on significant variables in univariate analysis to examine the predictive ability of anthropometric variables to cam morphology.
Results: Cam morphology was identified in 242 hips via AA, 344 hips via AFNO, and 123 hips via both measures. Multivariate logarithmic regression analysis demonstrated that sex negatively predicted AA (females with less pathology, β = -0.14, P = .04), race negatively predicted AA (Blacks with less pathology, β = -0.21, P < .01), and proximal femoral osteoarthritis was positively associated with AA (β = 0.16, P = .02), while none of these were associated with AFNO. On the other hand, right-side specimens were associated with AA (β = 0.15, P = .02) and AFNO (β = 0.25, P < .01), whereas the combined version was unassociated with both measures.
Conclusions: In conclusion, cam morphology was identified in a modest percentage of osteologic specimens by both AA and AFNO in our study. Further, associations of multiple demographic, anthropometric, and anatomical parameters to AA and AFNO suggest they may identify different subsets of cam morphology.
Clinical relevance: Cam morphology identified by AA versus AFNO may represent 2 different pathologic entities. Future studies should assess differences between these measures in a clinical cohort and determine whether these 2 definitions of cam morphology identify different clinical populations.
期刊介绍:
Nowhere is minimally invasive surgery explained better than in Arthroscopy, the leading peer-reviewed journal in the field. Every issue enables you to put into perspective the usefulness of the various emerging arthroscopic techniques. The advantages and disadvantages of these methods -- along with their applications in various situations -- are discussed in relation to their efficiency, efficacy and cost benefit. As a special incentive, paid subscribers also receive access to the journal expanded website.