ArticleQuantitative imaging in medicine and surgery2025
A study on the diagnostic value of knee MRI parameters for lateral patellar compression syndrome: clinical application of P-PTA, LP and ISR.
Article in Quantitative imaging in medicine and surgery, 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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9 authors.
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Abstract
Background: Lateral patellar compression syndrome (LPCS) is characterized by increased lateral patellofemoral joint pressure due to chronic lateral patellar tilt, tightened lateral retinaculum, and imbalanced stress between the lateral and medial femoral condyles. However, there is currently no well-established or widely accepted diagnostic standard for LPCS. This study aimed to explore the feasibility of various structural measurement parameters of magnetic resonance imaging (MRI) of the knee to diagnose LPCS and to identify new MRI diagnostic indicators as references and guidance for LPCS clinical diagnosis. Methods: This study enrolled 168 patients, who were divided into three groups: the LPCS group, the knee osteoarthritis (KOA) group, and the structurally normal group (n=56 participants per group). A standardized magnetic resonance scanning protocol was used, including sagittal and coronal fat-suppressed proton density-weighted imaging and sagittal T1-weighted imaging. Two radiologists analyzed the MRI and measured the patellar-patellar tibial angle (P-PTA), the quadriceps-patellar angle (Q-PA), the length of patellar (LP), the length of patellar tendon (LT), the LP/LT ratio, the Insall-Salvati ratio (ISR). Results: The LPCS group had significantly lower P-PTA and LP values, but higher LT and ISR values, compared with those in the normal and KOA groups (all P<0.05). Compared with those in the structurally normal group, the LPCS groups' Q-PA value was higher (P=0.034). According to receiver operating characteristic analysis, the optimal cut-off values for P-PTA, LP, LP/LT, and ISR were 146.45°, 41.10 mm, 0.85, and 1.19, with sensitivities and specificities of 67.86%/59.82%, 78.57%/55.36%, 67.86%/58.93%, and 66.07%/60.71%, respectively. Conclusions: Measurement parameters of MRI, particularly P-PTA, LP and ISR, can serve as important tools to assist in the diagnosis of LPCS. Assessment of these parameters should be included in the clinical diagnostic process for LPCS to improve diagnostic accuracy.
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