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dc.contributor.authorGültekin, M.Z.
dc.contributor.authorKeskin, Z.
dc.contributor.authorDinçel, Yaşar Mahsut
dc.contributor.authorArslan, T.
dc.date.accessioned2023-05-06T17:22:11Z
dc.date.available2023-05-06T17:22:11Z
dc.date.issued2023
dc.identifier.issn0025-7974
dc.identifier.urihttps://doi.org/10.1097/MD.0000000000033253
dc.identifier.urihttps://hdl.handle.net/20.500.11776/12102
dc.description.abstractThis 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. Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.en_US
dc.language.isoengen_US
dc.publisherLippincott Williams and Wilkinsen_US
dc.identifier.doi10.1097/MD.0000000000033253
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectACL angleen_US
dc.subjectanterior cruciate ligamenten_US
dc.subjectBMIen_US
dc.subjectInsall-Salvati indexen_US
dc.subjectknee jointen_US
dc.subjectMRIen_US
dc.subjectnotch width indexen_US
dc.subjectadulten_US
dc.subjectageen_US
dc.subjectanterior cruciate ligamenten_US
dc.subjectanterior cruciate ligament widthen_US
dc.subjectanthropometric parametersen_US
dc.subjectArticleen_US
dc.subjectbody massen_US
dc.subjectcontrolled studyen_US
dc.subjectdistal femoral widthen_US
dc.subjectfemaleen_US
dc.subjecthumanen_US
dc.subjectInsall-Salvati ratioen_US
dc.subjectintercondylar femoral widthen_US
dc.subjectinternal knee injuryen_US
dc.subjectkneeen_US
dc.subjectknee injuryen_US
dc.subjectlateral femoral condylar depthen_US
dc.subjectlateral femoral condylar widthen_US
dc.subjectlateral tibial posterior slopeen_US
dc.subjectlengthen_US
dc.subjectmajor clinical studyen_US
dc.subjectmaleen_US
dc.subjectmedial femoral condylar widthen_US
dc.subjectmedial meniscusen_US
dc.subjectmedial meniscus bone angleen_US
dc.subjectmorphometryen_US
dc.subjectnuclear magnetic resonance imagingen_US
dc.subjectretrospective studyen_US
dc.subjectsex differenceen_US
dc.subjectTurkish citizenen_US
dc.subjectanatomy and histologyen_US
dc.subjectanterior cruciate ligament injuryen_US
dc.subjectartificial intelligenceen_US
dc.subjectcase control studyen_US
dc.subjectdemographyen_US
dc.subjectdiagnostic imagingen_US
dc.subjectfemuren_US
dc.subjectknee injuryen_US
dc.subjectproceduresen_US
dc.subjectrisk factoren_US
dc.subjecttibiaen_US
dc.subjectyoung adulten_US
dc.subjectAdulten_US
dc.subjectAnterior Cruciate Ligament Injuriesen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectCase-Control Studiesen_US
dc.subjectDemographyen_US
dc.subjectFemaleen_US
dc.subjectFemuren_US
dc.subjectHumansen_US
dc.subjectKnee Injuriesen_US
dc.subjectKnee Jointen_US
dc.subjectMagnetic Resonance Imagingen_US
dc.subjectMaleen_US
dc.subjectRetrospective Studiesen_US
dc.subjectRisk Factorsen_US
dc.subjectTibiaen_US
dc.subjectYoung Adulten_US
dc.titleEffect of demographic features on morphometric variables of the knee joint: Sample of a 20 to 40-year-old Turkish populationen_US
dc.typearticleen_US
dc.relation.ispartofMedicine (United States)en_US
dc.departmentFakülteler, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümü, Ortopedi ve Travmatoloji Ana Bilim Dalıen_US
dc.identifier.volume102en_US
dc.identifier.issue11en_US
dc.identifier.startpageE33253en_US
dc.institutionauthorDinçel, Yaşar Mahsut
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid58079712400
dc.authorscopusid55372253600
dc.authorscopusid55994580900
dc.authorscopusid57202161335
dc.identifier.scopus2-s2.0-85150666146en_US
dc.identifier.pmid36930108en_US


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