Imaging Anatomy of the Knee Joint: Correlation with Arthroscopic Findings

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Original Article, 2025, Volume -1, Issue -1, Page No 45-55

Dr. Nausiba Khatoon, Assistant Professor, Anatomy, Gulf Medical University, UAE (Corresponding Author)

Abstract:

This study investigates the precise correlation between imaging anatomy of the knee joint and direct arthroscopic findings, aiming to enhance diagnostic accuracy and guide surgical planning. The knee joint, a complex articulation, is frequently subjected to various pathologies, necessitating accurate pre-operative assessment. While advanced imaging modalities such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are routinely employed for diagnosis, their interpretation requires a thorough understanding of normal and pathological anatomical variations, and their fidelity against direct visualization remains critical. Our research employs a prospective design, involving patients undergoing knee arthroscopy for suspected intra-articular pathologies. Each patient will undergo pre-operative MRI and/or CT scans, which will be meticulously reviewed by experienced radiologists. During arthroscopy, a detailed record of all observed anatomical structures and pathological lesions will be documented, including meniscal tears, ligamentous injuries, chondral defects, and synovial abnormalities. Post-operatively, a blinded comparison will be conducted between the pre-operative imaging reports and the intra-operative arthroscopic findings. Expected outcomes include quantitative and qualitative assessments of the concordance and discordance rates between imaging and arthroscopy for specific anatomical structures and pathologies. We anticipate identifying areas where imaging demonstrates high sensitivity and specificity, as well as limitations where arthroscopy provides superior diagnostic clarity. This correlation will refine diagnostic algorithms, improve surgical decision-making, and ultimately lead to better patient outcomes by optimizing the utility of pre-operative imaging in the management of knee joint disorders.