Diagnostic value of anatomical layered MRI for post-training anterior knee pain

YIN Tao, SHAO Hua, LONG Peng

Medical Journal of the Chinese People Armed Police Forces ›› 2025, Vol. 36 ›› Issue (5) : 380-383.

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Medical Journal of the Chinese People Armed Police Forces ›› 2025, Vol. 36 ›› Issue (5) : 380-383.
ORIGINAL ARTICLES

Diagnostic value of anatomical layered MRI for post-training anterior knee pain

  • YIN Tao, SHAO Hua, LONG Peng
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Abstract

Objective To explore the diagnostic value of anatomical layered magnetic resonance imaging (MRI) for anterior knee pain after training. Methods A retrospective analysis was conducted on the clinical and MRI data of 152 patients with post-training anterior knee pain admitted to No. 96605 Troop hospital of the PLA from January 2023 to October 2024. The MRI results were classified based on anatomical layers, including superficial subcutaneous fat and bursae, extensor system and functional layer for patellar stability, extra-articular synovial layer, and intra-articular layer, and the relevant data were analyzed using Venn diagrams. Results Among the 152 cases, the main injuries were the extensor system and functional layer for patellar stability (121 cases, 79.61%). Infrapatellar fat pad impingement syndrome (Hoffa Syndrome) (89 cases, 58.55%) was most commonly observed in the extra-articular synovial layer.The Venn diagram showed that most patients had combined injuries in the "extra-articular synovial layer including the fat pad" and the "extensor system and functional layer for patellar stability" (38 cases). Conclusions The results of anatomical layered MRI can accurately diagnose post-training anterior knee pain, providing a reliable basis for formulating personalized treatment plans.

Key words

knee joint / anterior knee pain / patellofemoral joint pain / magnetic resonance imaging / training injury / differential diagnosis

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YIN Tao, SHAO Hua, LONG Peng. Diagnostic value of anatomical layered MRI for post-training anterior knee pain[J]. Medical Journal of the Chinese People Armed Police Forces. 2025, 36(5): 380-383

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