医学
霍恩斯菲尔德秤
腰椎
核医学
下沉
外科
计算机断层摄影术
地质学
构造盆地
古生物学
作者
Hannah A. Levy,Christopher A. Magera,Caden Messer,Maria Astudillo Potes,Tyler Allen,Jayanth Kumar,Abdelrahman M. Hamouda,Mohamad Bydon,Jeremy L. Fogelson,Benjamin D. Elder,Bradford L. Currier,Ahmad Nassr,Brett A. Freedman,Brian A. Karamian,Arjun S. Sebastian
标识
DOI:10.1177/21925682251356986
摘要
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.
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