Dwikora Novembri Utomo, Dwikora and I Gusti Ngurah Dodo M. Ranuh, I Gusti and Mohammad Zaim Chilmi, Mohammad and Jeffry Andrianus, Jeffry and Andre Triadi Desnantyo, Andre and Rosy Setiawati, Rosy (2020) Antropometric study on the parameters of double-bundle anterior cruciate ligament reconstruction using magnetic resonance imaging. EurAsian Journal of BioSciences, 14 (2). ISSN '1307-9867

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Abstract

Abstract Background: The reconstruction techniques of double-bundle anterior cruciate ligament (ACL) can restore normal kinematics on the knees and its stability. Data regarding the reconstruction parameters of double-bundle ACL and ACL footprint’ size on femur and tibia have never existed in Indonesia. Purpose: This study aims to obtain the reconstruction parameters’ value of double-bundle ACL to determine the parameter value suitability with a minimum size, and the correlation of these parameters with age, sex, ethnicity, and body mass index (BMI). Methods: This study employed an analytic observational study with a cross-sectional design. In this study, eight parameters were measured, then analyzed based on age, gender, ethnicity, and BMI. The measurements were carried out using OsiriX program. Result: The average width of lateral condylar ridge amounted to 15.734 mm; the average diameter of ACL femoral footprint reached 15.85 mm; the average surface of ACL femoral footprint reached 72.72mm2 ; the average diameter of ACL tibial footprint 16.04 mm; the average surface of ACL tibial footprint amounted to 72.69mm2 , and the average width of intercondylar notch reached 21.29 mm. In addition, no significant correlation was identified between age, sex, ethnicity, and BMI to the double-bundle ACL reconstruction parameters. Conclusion: Double-bundle ACL reconstruction can be performed because the reconstruction parameters’ values have exceeded the minimum size. Subjects’ characteristics based on age, sex, ethnicity, and BMI do not affect these parameters’ values. The surface measurements of ACL femoral footprint and ACL tibial footprint significantly correlate with age.

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