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安得拉邦成年样本股骨颈干角的研究:骨骼学和放射学测量

A Study on the Femoral Neck-Shaft Angle in an Adult Sample From Andhra Pradesh: Osteological and Radiological Measurements.

作者信息

Ranzeetha D, Challa Pratyusha, Lakkireddy Vasanthi, Pavana Kumari K V, Kumari K Lakshmi, Madhavi D

机构信息

Anatomy, Guntur Medical College, Guntur, IND.

Anatomy, Government Medical College, Ongole, IND.

出版信息

Cureus. 2025 Apr 11;17(4):e82100. doi: 10.7759/cureus.82100. eCollection 2025 Apr.

Abstract

The femoral neck-shaft angle (NSA) is a crucial anatomical parameter that plays a significant role in hip biomechanics, lower limb alignment, and load distribution across the hip joint. Variations in femoral NSA are linked to orthopedic conditions and have implications for surgical planning, prosthetic design, and forensic analysis. This study aimed to assess the femoral NSA in an adult sample from Andhra Pradesh using both osteological and radiological methods and to evaluate its variations based on side, gender, and age. An observational study was conducted from September to November 2024 at Guntur Medical College in Guntur and Government Medical College in Ongole in Andhra Pradesh, India. The study was conducted using osteological measurements from 113 dry femora (54 left, 59 right) and radiological measurements from 30 standardized anteroposterior digital X-rays of adult subjects aged between 20 and 80 years. Femoral NSA was measured bilaterally using a goniometer and image analysis software. Age- and gender-wise analyses were not possible for osteological measurements. Data were analyzed using IBM SPSS Statistics software, version 26 (IBM Corp., Armonk, NY). Independent t-tests assessed side- and gender-based differences, while one-way ANOVA evaluated age-related variation. Pearson's correlation was employed to compare measurement methods, with a p-value of less than 0.05 considered statistically significant. In osteological assessment, the mean NSA was 116.54° ± 7.81° on the left and 119.93° ± 3.85° on the right, with a statistically significant difference (p = 0.0047). In radiological measurements, the NSA was 141.15° ± 6.97° (left) and 137.50° ± 5.72° (right), also significant (p = 0.0307). In the radiological measurement, gender-based analysis showed a significant difference in females (p = 0.0385) but not males (p = 0.376). Age-wise, significant right-to-left NSA differences were observed across all age groups, which were 20 to 40 years (p = 0.039), 41 to 60 years (p = 0.048), and 61 to 80 years (p = 0.041). A positive correlation was observed between the two methods (r = 1.0), indicating measurement consistency. The study establishes normative femoral NSA values for the adult sample from Andhra Pradesh and highlights significant side-specific, gender-based, and age-related variations. The positive correlation between both methods (limited to bilateral variations) supports their reliability in clinical and anatomical assessments. These findings may offer crucial primary reference data for orthopedic procedures, prosthetic alignment, and regional forensic profiling. Future studies with larger, demographically stratified samples and clinical variables are recommended to refine and validate these observations.

摘要

股骨颈干角(NSA)是一个关键的解剖学参数,在髋关节生物力学、下肢对线以及髋关节的负荷分布中起着重要作用。股骨NSA的变化与骨科疾病相关,并对手术规划、假体设计和法医分析具有重要意义。本研究旨在使用骨学和放射学方法评估来自安得拉邦的成年样本中的股骨NSA,并根据左右侧、性别和年龄评估其变化。2024年9月至11月在印度安得拉邦贡图尔的贡图尔医学院和翁戈尔的政府医学院进行了一项观察性研究。该研究使用了113根干燥股骨(54根左侧,59根右侧)的骨学测量数据以及30张年龄在20至80岁之间的成年受试者的标准化前后位数字X线片的放射学测量数据。使用角度计和图像分析软件双侧测量股骨NSA。骨学测量无法进行按年龄和性别的分析。使用IBM SPSS Statistics软件26版(IBM公司,纽约州阿蒙克)对数据进行分析。独立t检验评估基于左右侧和性别的差异,而单因素方差分析评估与年龄相关的变化。采用Pearson相关性分析来比较测量方法,p值小于0.05被认为具有统计学意义。在骨学评估中,左侧的平均NSA为116.54°±7.81°,右侧为119.93°±3.85°,差异具有统计学意义(p = 0.0047)。在放射学测量中,NSA左侧为141.15°±6.97°,右侧为137.50°±5.72°,同样具有显著性(p = 0.0307)。在放射学测量中,基于性别的分析显示女性存在显著差异(p = 0.0385),而男性则无差异(p = 0.376)。按年龄来看,在所有年龄组中均观察到右侧与左侧NSA存在显著差异,分别为20至40岁(p = 0.039)、41至60岁(p = 0.048)以及61至80岁(p = 0.041)。两种方法之间观察到正相关性(r = 1.0),表明测量的一致性。该研究确定了来自安得拉邦成年样本的股骨NSA规范值,并突出了显著的左右侧特异性、基于性别和与年龄相关的变化。两种方法之间的正相关性(限于双侧变化)支持了它们在临床和解剖学评估中的可靠性。这些发现可能为骨科手术、假体对线和区域法医分析提供关键的原始参考数据。建议未来进行更大规模、人口统计学分层样本以及临床变量的研究,以完善和验证这些观察结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db58/12066152/2c4b63639f6c/cureus-0017-00000082100-i01.jpg

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