Effect of demographic features on morphometric variables of the knee joint: Sample of a 20 to 40-year-old Turkish population. Issue 11 (17th March 2023)

• Record Type: Journal Article
• Authors: Gültekin, Muhammet Zeki; Keskin, Zeynep; Dinçel, Yaşar Mahsut; Arslan, Tuğba
• Is Part Of: Medicine. Volume 102:Issue 11(2023)
• Page Start: e33253
• Publication Date: 2023-03-17
• Subjects: ACL angle -- anterior cruciate ligament -- BMI -- Insall–Salvati index -- knee joint -- MRI -- notch width index; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000033253
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract : This study aimed to investigate the relationship between body mass index (BMI), age, and sex and morphological risk factors that may cause internal knee injuries. The magnetic resonance images of 728 participants who met the inclusion criteria and had a mean age of 34.4 ± 6.8 years were analyzed retrospectively. Demographic differences were analyzed by measuring 17 morphological parameters known to be associated with internal knee injuries. Men had a higher anterior cruciate ligament length (ACLL), anterior cruciate ligament width, (ACLW) lateral femoral condylar width (LFCW), medial femoral condylar width (MFCW), lateral femoral condylar depth (LFCD), distal femoral width (DFW), and intercondylar femoral width (IFW) than women ( P < .05). By contrast, the medial meniscus bone angle (MMBA) was lower in men than in women ( P < .05). Women aged 31 to 40 years had a lower Insall–Salvati index (ISI) and lateral tibial posterior slope (LTPS) than those aged 21 to 30 years ( P < .05), whereas men aged 31 to 40 years had a lower ISI than those aged 21 to 30 years ( P < .05). Women with BMI ≥ 30 had a higher LFCW and MFCW but a lower ISI than those with BMI < 30 ( P < .05). Men with BMI ≥ 30 had a higher LFCW, MFCW, DFW, and MMBA than those with BMI < 30 ( P < .05). The use of value ranges structured according to demographic characteristics, rather than a single value range for all patient groups, may contribute to the evaluation and treatment of the morphological features that are thought to be effective in the development of internal knee injuries. These values may also shed light on future radiological risk scoring systems and artificial intelligence applications in medicine.