Trabecular bone score (TBS) is a texture parameter that measures the grayscale variation within dual-energy X-ray absorptiometry (DXA) images, and has been shown to significantly correlate with the 3-dimensional bone microarchitecture. The objective of this study was to determine whether TBS is a better clinical tool than traditionally used bone mineral density (BMD) to detect the skeletal deterioration seen in patients with diabetes (DM), patients undergoing oral glucocorticoid (GC) therapy, and patients who are both diabetic and taking steroids (GC + DM). We performed retrospective, cross-sectional study using DXA images of patients who visited UTHealth Department of Internal Medicine DXA clinic in Houston, TX, from May 30, 2014 to May 30, 2016. A total of 477 men and women, who were 55 years or older, were included in the study. Lumbar spine (LS) BMD and TBS were collected. Electronic medical records were reviewed to collect clinical information for each patient. When both men and women were analyzed as a single group, LS-BMD was significantly higher in the diabetic group than in the control group (1.14 vs 1.10, p = 0.038), whereas mean TBS of L1-L4 was significantly lower in the diabetic group (1.21 vs 1.26, p = 0.004). LS-TBS was also significantly lower in diabetic women than in nondiabetic women (1.20 vs 1.26, p = 0.002). Receiver operating characteristic curves and areas under the curve indicated that LS-TBS provided better ability than LS-BMD to discriminate between control subjects and those in the DM, GC, or GC + DM groups (areas under the curve between 0.645 and 0.697, p < 0.010 for all). LS-TBS is a BMD-independent parameter that is capable of capturing a larger portion of bone quality deterioration undetected by BMD alone in patients with DM and undergoing oral GC therapy.
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http://dx.doi.org/10.1016/j.jocd.2017.09.003 | DOI Listing |
J Bone Miner Metab
January 2025
Department of Internal Medicine 1, Shimane University Faculty of Medicine, Shimane, 89-1 Enya-cho, Izumo, Shimane, 693-8501, Japan.
Introduction: Despite many studies on the prevalence of vertebral fractures (VFs), the VF prevalence at death in the Japanese population remains unclear.
Materials And Methods: We evaluated the VF prevalence at death in a Japanese cohort using autopsy imaging computed tomography (AiCT). We enrolled 365 cadavers (188 men, 177 women, mean age of 84.
Eur Spine J
January 2025
Department of Orthopaedic Surgery, AO Spine Fellowship, Clinica Alemana Santiago - Universidad del Desarrollo, Santiago, Chile.
Purpose: There is a growing interest in using computed tomography (CT) scans to opportunistically assess bone mineral density via Hounsfield units (HU). Previous studies have shown lower HU in patients with vertebral compression fractures (VCFs) and that HU can predict pre-existing VCFs. This study evaluated whether HU from CT scans can predict the number of prevalent VCFs.
View Article and Find Full Text PDFEur J Pain
February 2025
Department of Research, Sint Maartenskliniek, Nijmegen, The Netherlands.
Background: After lumbar spine surgery, a Core Outcome Set (COS) for acute pain is essential to ensure that the most meaningful outcomes are monitored consistently in the perioperative period. The aim of the present study was to consent on a COS for assessing the efficacy of acute pain management for patients undergoing lumbar spinal surgery.
Method: A modified Delphi procedure was conducted among a national (Dutch) expert panel.
Int J Spine Surg
January 2025
Department of Orthopedic Surgery, University of Virginia, Charlottesville, VA, USA
Background: A limited number of studies have compared the outcomes of anterior lumbar interbody fusion (ALIF) to transforaminal lumbar interbody fusion (TLIF) for the treatment of isthmic spondylolisthesis. This study aims to compare postoperative complications between these two surgical approaches.
Methods: A retrospective review was performed using a large national database.
AJNR Am J Neuroradiol
January 2025
From the Orthopedic Data Innovation Lab (ODIL), Hospital for Special Surgery (A.M.L.S., M.A.F.), Department of Radiology and Imaging, Hospital for Special Surgery Centre (E.E.X, Z.I, E.T.T, D.B.S, J.L.C)and Department of Population Health Sciences, Weill Cornell Medicine (M.A.F), New York, New York, USA.
Background And Purpose: To train and evaluate an open-source generative adversarial networks (GANs) to create synthetic lumbar spine MRI STIR volumes from T1 and T2 sequences, providing a proof-of-concept that could allow for faster MRI examinations.
Materials And Methods: 1817 MRI examinations with sagittal T1, T2, and STIR sequences were accumulated and randomly divided into training, validation, and test sets. GANs were trained to create synthetic STIR volumes using the T1 and T2 volumes as inputs, optimized using the validation set, then applied to the test set.
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