ArticleOrthopaedic journal of sports medicine2026
Radiographic Predictors of Excessive Lower Limb Torsion in Patients With Recurrent Patellar Dislocation.
Article in Orthopaedic journal of sports medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Recurrent patellar dislocation in children and adolescents is a multifactorial condition associated with anatomic risk factors such as patella alta, trochlear dysplasia, and torsional deformities of the lower limb. Although medial patellofemoral ligament reconstruction (MPFLR) is the standard approach, undetected torsional abnormalities may compromise outcomes. While computed tomography (CT) offers precise femoral torsion (FT) and tibial torsion (TT) evaluation, its widespread use is constrained by cost and radiation exposure. Purpose: To evaluate whether conventional radiographic parameters can predict excessive lower limb torsion in patients undergoing MPFLR. Study Design: Cohort Study (Diagnosis); Level of evidence, 3. Method: The authors retrospectively analyzed 104 knees (70 patients) evaluated using CT for FT, TT, and combined torsion (FT+TT) between December 2016 and December 2023. Radiographic measures included the Caton-Deschamps index, congruence angle, sulcus angle, and patellar tilt angle. FT and TT were categorized as <20°, 20° to 30°, or >30°, and FT+TT as <40°, 40° to 50°, or >50°. Receiver operating characteristic (ROC) analysis and multivariate regression were used to assess the diagnostic performance of radiographic variables. Results: The patellar tilt angle was significantly associated with FT ( Conclusion: This study showed that although patellar tilt angle demonstrated the highest predictive value among evaluated parameters, its diagnostic accuracy was limited and insufficient to replace cross-sectional imaging. Comprehensive preoperative evaluation of lower limb torsion remains critical for minimizing residual instability and improving outcomes after MPFLR.
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