Risk modeling of femoral neck fracture based on geometric parameters of the proximal epiphysis.

Autor:	Shitova AD; International School 'Medicine of the Future', I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Moscow, Russia., Kovaleva ON; Department of Human Anatomy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 125009, Moscow, Russia., Olsufieva AV; Department of Biomedical Disciplines of the Faculty of Medicine, Nonstate Educational Private Institution of Higher Education 'Moscow Financial and Industrial University 'Synergy', Moscow 125190, Moscow, Russia., Gadzhimuradova IA; International School 'Medicine of the Future', I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Moscow, Russia., Zubkov DD; International School 'Medicine of the Future', I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Moscow, Russia., Kniazev MO; Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Moscow, Russia., Zharikova TS; Department of Human Anatomy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 125009, Moscow, Russia., Zharikov YO; Department of Human Anatomy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 125009, Moscow, Russia. dr_zharikov@mail.ru.
Jazyk:	angličtina
Zdroj:	World journal of orthopedics [World J Orthop] 2022 Aug 18; Vol. 13 (8), pp. 733-743. Date of Electronic Publication: 2022 Aug 18 (Print Publication: 2022).
DOI:	10.5312/wjo.v13.i8.733
Abstrakt:	Background: Fractures of the proximal femur epiphysis are problematic for state health care because they are associated with severe medical and social problems and high morbidity and mortality rates. Aim: To model the potential risk of hip fracture via femur geometric parameters. Methods: Seventy educational cadaveric femurs from people aged 14 to 80 years, 10 X-ray images from the records of the Human Anatomy Department and 10 X-ray images from the Department of Traumatology, Orthopedics and Disaster Surgery of Sechenov University, were evaluated. The parameters of the fractured bone were measured using images captured with a Canon d60 camera. The projection values of the proximal epiphysis of the cadaveric femurs and geometric parameters of the bones shown in the X-ray images were measured with Autodesk software (AutoCAD 2018). Analysis of the video frames showing bone rotation reveal that the greater trochanter can be inscribed in a parallelepiped, where one of the faces is parallel to the plane of view in the frontal standard projection and is rectangular. The angle of bone rotation obtained by turning the cube corresponded to the angle measured with the second technique. This reliable method of calculating the rotation of the bone relative to the anterior projection was employed in subsequent calculations. The geometric parameters of the femur were measured using X-ray images according to the proposed method. Results: The geometric parameters of 70 femurs were analyzed, and correlation coefficients were calculated. Our measurement results were compared with those reported by other authors. The potential influence of femur geometry on force distribution in the proximal epiphysis of the femur was described, and a 2-dimensional model of the femur epiphysis associated with minimal neck fracture risk was provided. The assessment of the geometric parameters of the femoral epiphysis indicated the greatest risk of a varus fracture of the neck if the angle of the minimal resistance zone (AMRZ) index > 24° and the neck-shaft angle (NSA) < 127.5°. In contrast, the minimum risk was observed at AMRZ < 14° and NSA > 128.87°. Conclusion: The proposed method provides the potential femur neck fracture risk based on geometric parameters. Competing Interests: Conflict-of-interest statement: All authors report no relevant conflict of interest for this article. (©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.)
Databáze:	MEDLINE
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