RESUMEN
This retrospective study compared the diagnostic accuracy of conventional radiography (CR) and computed tomography (CT) in classifying Kienböck's disease (KD) according to Lichtman staging. Besides age, cartilage condition and vascularity, bone morphology is important in choosing the most appropriate treatment in KD. In 278 patients, two musculoskeletal radiologists performed a consensus reading of 281 lunate necroses according to the Lichtman classification, based on CR and CT. Stage IIIc was most common in CR (43%) and CT (61%), followed by stage IIIa for CR (25%) and stage IV for CT (15%). In 67%, KD was classified as the same in both modalities. The KD stage had to be upgraded in CT in 34% of cases, notably with stage IIIa progressing to IIIc in 24 out of 69 patients and stage IIIb to IIIc in 23 out of 38 cases. Overall, the Lichtman score was significantly higher on CT. The findings suggest that CT is better than CR in accurately determining the stage of KD stage, indicating a potential shift towards more surgical salvage procedures.Level of evidence: III.
RESUMEN
Background and objective: Fat content in bones and muscles, quantified by magnetic resonance imaging (MRI) as a proton density fat fraction (PDFF) value, is an emerging non-invasive biomarker. PDFF has been proposed to indicate bone and metabolic health among postmenopausal women. Premenopausal women with a history of gestational diabetes (GDM) carry an increased risk of developing type 2 diabetes and an increased risk of fractures. However, no studies have investigated the associations between a history of GDM and PDFF of bone or of paraspinal musculature (PSM), composed of autochthonous muscle (AM) and psoas muscle, which are responsible for moving and stabilizing the spine. This study aims to investigate whether PDFF of vertebral bone marrow and of PSM are associated with a history of GDM in premenopausal women. Methods: A total of 37 women (mean age 36.3 ± 3.8 years) who were 6 to 15 months postpartum with (n=19) and without (n=18) a history of GDM underwent whole-body 3T MRI, including a chemical shift encoding-based water-fat separation. The PDFF maps were calculated for the vertebral bodies and PSM. The cross-sectional area (CSA) of PSM was obtained. Associations between a history of GDM and PDFF were assessed using multivariable linear and logistic regression models. Results: The PDFF of the vertebral bodies was significantly higher in women with a history of GDM (GDM group) than in women without (thoracic: median 41.55 (interquartile range 32.21-49.48)% vs. 31.75 (30.03-34.97)%; p=0.02, lumbar: 47.84 (39.19-57.58)% vs. 36.93 (33.36-41.31)%; p=0.02). The results remained significant after adjustment for age and body mass index (BMI) (p=0.01-0.02). The receiver operating characteristic curves showed optimal thoracic and lumbar vertebral PDFF cutoffs at 38.10% and 44.18%, respectively, to differentiate GDM (AUC 0.72 and 0.73, respectively, sensitivity 0.58, specificity 0.89). The PDFF of the AM was significantly higher in the GDM group (12.99 (12.18-15.90)% vs. 10.83 (9.39-14.71)%; p=0.04) without adjustments, while the CSA was similar between the groups (p=0.34). Conclusion: A history of GDM is significantly associated with a higher PDFF of the vertebral bone marrow, independent of age and BMI. This statistical association between GDM and increased PDFF highlights vertebral bone marrow PDFF as a potential biomarker for the assessment of bone health in premenopausal women at risk of diabetes.