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  11. Variation Of Neck Length On Anterior And Posterior Aspect Of Femur In Bangladeshi People

Variation of Neck Length on Anterior and Posterior Aspect of Femur in Bangladeshi People

R A Shanto1, R Ara, M S Latif

  • 1Dr Rafuja Afrin Shanto, Assistant Professor, Department of Anatomy, Dhaka Central International Medical College, Ring Road, Shyamoli, Dhaka, Bangladesh;

Mymensingh Medical Journal : MMJ
|December 31, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This study measured femur neck length in Bangladeshi individuals, revealing variations that can aid orthopedic treatments and prosthesis design. Understanding these dimensions is crucial for demographic studies and managing hip conditions.

Area of Science:

  • Anatomy
  • Anthropology
  • Orthopedics

Background:

  • Femur bone variations are influenced by genetics, environment, and geography.
  • Understanding regional femur morphology is vital for clinical applications and population studies.

Purpose of the Study:

  • To determine the variation in femur neck length on anterior and posterior aspects in a Bangladeshi population.
  • To provide data for orthopedic surgeons and prosthetists in designing artificial hip joints.
  • To contribute to demographic studies on hip joint ailments in Bangladesh.

Main Methods:

  • A cross-sectional descriptive study was conducted on 150 dry human femora from Bangladeshi individuals.
  • Femora with fractures, damage, or remodeling were excluded.
  • Digital Vernier slide calipers were used to measure neck length on anterior and posterior aspects.

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Main Results:

  • The mean neck length on the anterior aspect was 30.81±3.74 mm (right) and 29.99±3.91 mm (left).
  • The mean neck length on the posterior aspect was 35.90±4.07 mm (right) and 35.97±4.17 mm (left).

Conclusions:

  • The study provides essential morphometric data on femur neck length for the Bangladeshi population.
  • These findings can assist in the development of customized prostheses and improve the management of hip joint conditions.
  • The data can be used for comparative anthropological studies and understanding disease prevalence.