Hannah A Levy, Christopher A Magera, Caden J Messer, Maria D Astudillo Potes, Tyler Allen, Jayanth Kumar, Abdelrahman M Hamouda, Mohamad Bydon, Jeremy L Fogelson, Benjamin D Elder, Bradford Currier, Ahmad N Nassr, Brett A Freedman, Brian A Karamian, Arjun S Sebastian
{"title":"与单独的小梁Hounsfield单元相比,腰椎终板Hounsfield单元增强了经椎间孔腰椎椎间融合沉降预测。","authors":"Hannah A Levy, Christopher A Magera, Caden J Messer, Maria D Astudillo Potes, Tyler Allen, Jayanth Kumar, Abdelrahman M Hamouda, Mohamad Bydon, Jeremy L Fogelson, Benjamin D Elder, Bradford Currier, Ahmad N Nassr, Brett A Freedman, Brian A Karamian, Arjun S Sebastian","doi":"10.1177/21925682251356986","DOIUrl":null,"url":null,"abstract":"<p><p>Study DesignRetrospective cohort analysis.Objective(1) Develop a novel computed tomography (CT)-based assessment of endplate bone density (EP-HU), (2) Determine if EP-HU was a stronger predictor than trabecular HU for subsidence after transforaminal lumbar interbody fusion (TLIF).MethodsAll adult patients who underwent single-level TLIF for lumbar degenerative conditions at an academic center between 2017-2022 were retrospectively identified. EP-HU was calculated from a 2 mm superior and inferior endplate region on the preoperative mid sagittal CT scans, accounting for surface undulations. Lumbar vertebral HUs (trabecular region) were determined in a standard fashion on axial CT. EP-HU + vertebral HU served as an aggregate bone quality metric. Interbody subsidence (≥2 mm threshold) was directly measured on the endplate-facing surface of 1 year CT scans. Univariate and multivariate analysis compared subsidence based on CT bone metrics.ResultsA total of 114 patients met the inclusion/exclusion criteria. There was no significant difference in fusion or reoperation rate based on subsidence occurrence. Both vertebral HU (<i>P</i> = .012) and EP-HU (<i>P</i> < .001) were associated with subsidence. In receiver operating curves, EP-HU was more optimal for subsidence prediction than vertebral HU, but the aggregate metric further optimized the specificity and total area under the curve. In a predictive logistic regression model EP-HU + vertebral HU (aggregate HU < 515 odds ratio: 7.82, <i>P</i> < .001) was a strong independent predictor of subsidence.ConclusionPreoperative calculation of EP-HUs in addition to vertebral HUs may enhance prediction of TLIF subsidence where aggregate endplate and vertebral HU < 515 can be used to identify high risk patients.</p>","PeriodicalId":12680,"journal":{"name":"Global Spine Journal","volume":" ","pages":"21925682251356986"},"PeriodicalIF":2.6000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12227440/pdf/","citationCount":"0","resultStr":"{\"title\":\"Lumbar Endplate Hounsfield Units Enhance Transforaminal Lumbar Interbody Fusion Subsidence Prediction Compared to Trabecular Hounsfield Units Alone.\",\"authors\":\"Hannah A Levy, Christopher A Magera, Caden J Messer, Maria D Astudillo Potes, Tyler Allen, Jayanth Kumar, Abdelrahman M Hamouda, Mohamad Bydon, Jeremy L Fogelson, Benjamin D Elder, Bradford Currier, Ahmad N Nassr, Brett A Freedman, Brian A Karamian, Arjun S Sebastian\",\"doi\":\"10.1177/21925682251356986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Study DesignRetrospective cohort analysis.Objective(1) Develop a novel computed tomography (CT)-based assessment of endplate bone density (EP-HU), (2) Determine if EP-HU was a stronger predictor than trabecular HU for subsidence after transforaminal lumbar interbody fusion (TLIF).MethodsAll adult patients who underwent single-level TLIF for lumbar degenerative conditions at an academic center between 2017-2022 were retrospectively identified. EP-HU was calculated from a 2 mm superior and inferior endplate region on the preoperative mid sagittal CT scans, accounting for surface undulations. Lumbar vertebral HUs (trabecular region) were determined in a standard fashion on axial CT. EP-HU + vertebral HU served as an aggregate bone quality metric. Interbody subsidence (≥2 mm threshold) was directly measured on the endplate-facing surface of 1 year CT scans. Univariate and multivariate analysis compared subsidence based on CT bone metrics.ResultsA total of 114 patients met the inclusion/exclusion criteria. There was no significant difference in fusion or reoperation rate based on subsidence occurrence. Both vertebral HU (<i>P</i> = .012) and EP-HU (<i>P</i> < .001) were associated with subsidence. In receiver operating curves, EP-HU was more optimal for subsidence prediction than vertebral HU, but the aggregate metric further optimized the specificity and total area under the curve. In a predictive logistic regression model EP-HU + vertebral HU (aggregate HU < 515 odds ratio: 7.82, <i>P</i> < .001) was a strong independent predictor of subsidence.ConclusionPreoperative calculation of EP-HUs in addition to vertebral HUs may enhance prediction of TLIF subsidence where aggregate endplate and vertebral HU < 515 can be used to identify high risk patients.</p>\",\"PeriodicalId\":12680,\"journal\":{\"name\":\"Global Spine Journal\",\"volume\":\" \",\"pages\":\"21925682251356986\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12227440/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Spine Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/21925682251356986\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Spine Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/21925682251356986","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Lumbar Endplate Hounsfield Units Enhance Transforaminal Lumbar Interbody Fusion Subsidence Prediction Compared to Trabecular Hounsfield Units Alone.
Study DesignRetrospective cohort analysis.Objective(1) Develop a novel computed tomography (CT)-based assessment of endplate bone density (EP-HU), (2) Determine if EP-HU was a stronger predictor than trabecular HU for subsidence after transforaminal lumbar interbody fusion (TLIF).MethodsAll adult patients who underwent single-level TLIF for lumbar degenerative conditions at an academic center between 2017-2022 were retrospectively identified. EP-HU was calculated from a 2 mm superior and inferior endplate region on the preoperative mid sagittal CT scans, accounting for surface undulations. Lumbar vertebral HUs (trabecular region) were determined in a standard fashion on axial CT. EP-HU + vertebral HU served as an aggregate bone quality metric. Interbody subsidence (≥2 mm threshold) was directly measured on the endplate-facing surface of 1 year CT scans. Univariate and multivariate analysis compared subsidence based on CT bone metrics.ResultsA total of 114 patients met the inclusion/exclusion criteria. There was no significant difference in fusion or reoperation rate based on subsidence occurrence. Both vertebral HU (P = .012) and EP-HU (P < .001) were associated with subsidence. In receiver operating curves, EP-HU was more optimal for subsidence prediction than vertebral HU, but the aggregate metric further optimized the specificity and total area under the curve. In a predictive logistic regression model EP-HU + vertebral HU (aggregate HU < 515 odds ratio: 7.82, P < .001) was a strong independent predictor of subsidence.ConclusionPreoperative calculation of EP-HUs in addition to vertebral HUs may enhance prediction of TLIF subsidence where aggregate endplate and vertebral HU < 515 can be used to identify high risk patients.
期刊介绍:
Global Spine Journal (GSJ) is the official scientific publication of AOSpine. A peer-reviewed, open access journal, devoted to the study and treatment of spinal disorders, including diagnosis, operative and non-operative treatment options, surgical techniques, and emerging research and clinical developments.GSJ is indexed in PubMedCentral, SCOPUS, and Emerging Sources Citation Index (ESCI).