ArticleBMC musculoskeletal disorders2025
Retrospective comparative study of lumbar spine MRI texture analysis in diagnosing bone marrow edema lesions in ankylosing spondylitis and non-ankylosing spondylitis.
Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Treatment of Painful One Level Schmorl's Nodes Using Percutaneous Endoscopic Lumbar Discectomy: A Clinical Evaluation.Journal of pain research · 2025Article
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6 authors.
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Abstract
objectiveThis study aimed to determine the optimal index for distinguishing ankylosing spondylitis (AS) from non-AS by employing texture analysis of bone marrow edema (BME) in lumbar spine MR images.
methodsWe conducted a retrospective analysis, involving patients meeting specific criteria with positive BME signs in lumbar spine MRI. We compared 72 cases (78 lesions) from the AS group with 67 cases (84 lesions) from the non-AS group. Image acquisition was single-blind, and we defined the region of interest (ROI) at the lumbar spine's maximal BME level using ImageJ software. Texture analysis parameters were extracted from Gray Level Histogram(GLH) and Gray-Level Co-occurrence Matrix(GLCM) of STIR and T2WI sequences in both groups. We generated Receiver Operating Characteristic(ROC) curves based on statistically significant parameters and calculated the area under the curve (AUC).
resultsIn BME STIR GLH analysis, AS group had higher Mean, Mode, Min, and Skew parameters than the non-AS group (p < 0.001), with Min exhibiting the highest diagnostic efficacy (AUC = 0.768). T2WI GLH analysis showed that only Min was significantly higher in the AS group (p = 0.014,AUC = 0.612). Analysis of BME zones in the STIR GLCM revealed significant differences in ASM and Ent parameters between the AS and non-AS groups, with ASM displaying the highest diagnostic accuracy (p < 0.001,AUC = 0.656). For T2WI GLCM analysis, all four parameters (ASM, Cor, IDM, and Ent) were significantly different in the AS group (p < 0.001), with ASM demonstrating the highest diagnostic accuracy (AUC = 0.731).
conclusionsLumbar BME texture analysis effectively distinguishes AS from non-AS, with significant variations in multiple parameter values. The STIR GLH parameter Min provides the highest diagnostic accuracy.
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