Correlation between femoral offset and other morphometric parameters

Background and aims: Surgeries involving the femur are quite common. The clinical importance of femur in sports biomechanics and rehabilitation is well known. Therefore, its morphometries has orthopedic implications. The present study aims at establishing interrelationship among various external par...

Full description

Bibliographic Details
Main Authors: Jaiswal Pratima, Verma Lakshmi, Ghulyani Tuhin
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:National Journal of Clinical Anatomy
Subjects:
Online Access:http://www.njca.info/article.asp?issn=2277-4025;year=2017;volume=6;issue=2;spage=137;epage=145;aulast=Pratima
_version_ 1818417985993310208
author Jaiswal Pratima
Verma Lakshmi
Ghulyani Tuhin
author_facet Jaiswal Pratima
Verma Lakshmi
Ghulyani Tuhin
author_sort Jaiswal Pratima
collection DOAJ
description Background and aims: Surgeries involving the femur are quite common. The clinical importance of femur in sports biomechanics and rehabilitation is well known. Therefore, its morphometries has orthopedic implications. The present study aims at establishing interrelationship among various external parameters in adult dried femora including femoral offset (FO), neck shaft angle [NSA], femoral anteversion angle [FNA], Neck width [NW], Anterior Neck length [ANL], Posterior Neck length [PNL], Oblique length [OL] and trochanteric oblique length [TOL], Materials and Methods: A total of 100 [50 right and 50 left] intact, dried adult human femora from department of Anatomy, Government Medical College, Kota were included in this study. The FO, NSA and FNA were measured by digital image analysis in ‘IMAGEJ’ software. OL and TOL were measured using osteometric board. ANL, PNL and NW were recorded using sliding caliper. Statistical analysis was done using SPSS and Microsoft Excel software. The mean values were calculated, relationship between parameters was measured by Pearson’s correlation coefficient V. Multiple regression equations were derived in order to calculate FO by other variables. Results: FO showed strong negative correlation with NSA; strong positive correlation with ANL, PNL, NW; moderate positive correlation with OL, TOL; but no relationship with FNA. NSA had moderate negative correlation with NW and weak negative correlation with PNL. NW & ANL had positive correlation with OL, TOL. Conclusion: In our method we used dried, intact bone and digital photographs with standardised method. Therefore it should provide accurate results; in addition it is cost effective. However studies on larger scale are warranted to design implants for Indian population.
first_indexed 2024-12-14T12:15:29Z
format Article
id doaj.art-09da8659869e422d95a155b846e54db5
institution Directory Open Access Journal
issn 2277-4025
2321-2780
language English
last_indexed 2024-12-14T12:15:29Z
publishDate 2017-01-01
publisher Wolters Kluwer Medknow Publications
record_format Article
series National Journal of Clinical Anatomy
spelling doaj.art-09da8659869e422d95a155b846e54db52022-12-21T23:01:38ZengWolters Kluwer Medknow PublicationsNational Journal of Clinical Anatomy2277-40252321-27802017-01-016213714510.4103/2277-4025.295932Correlation between femoral offset and other morphometric parametersJaiswal PratimaVerma LakshmiGhulyani TuhinBackground and aims: Surgeries involving the femur are quite common. The clinical importance of femur in sports biomechanics and rehabilitation is well known. Therefore, its morphometries has orthopedic implications. The present study aims at establishing interrelationship among various external parameters in adult dried femora including femoral offset (FO), neck shaft angle [NSA], femoral anteversion angle [FNA], Neck width [NW], Anterior Neck length [ANL], Posterior Neck length [PNL], Oblique length [OL] and trochanteric oblique length [TOL], Materials and Methods: A total of 100 [50 right and 50 left] intact, dried adult human femora from department of Anatomy, Government Medical College, Kota were included in this study. The FO, NSA and FNA were measured by digital image analysis in ‘IMAGEJ’ software. OL and TOL were measured using osteometric board. ANL, PNL and NW were recorded using sliding caliper. Statistical analysis was done using SPSS and Microsoft Excel software. The mean values were calculated, relationship between parameters was measured by Pearson’s correlation coefficient V. Multiple regression equations were derived in order to calculate FO by other variables. Results: FO showed strong negative correlation with NSA; strong positive correlation with ANL, PNL, NW; moderate positive correlation with OL, TOL; but no relationship with FNA. NSA had moderate negative correlation with NW and weak negative correlation with PNL. NW & ANL had positive correlation with OL, TOL. Conclusion: In our method we used dried, intact bone and digital photographs with standardised method. Therefore it should provide accurate results; in addition it is cost effective. However studies on larger scale are warranted to design implants for Indian population.http://www.njca.info/article.asp?issn=2277-4025;year=2017;volume=6;issue=2;spage=137;epage=145;aulast=Pratimaneck shaft angleimage jfemur replacementhead-neck axis
spellingShingle Jaiswal Pratima
Verma Lakshmi
Ghulyani Tuhin
Correlation between femoral offset and other morphometric parameters
National Journal of Clinical Anatomy
neck shaft angle
image j
femur replacement
head-neck axis
title Correlation between femoral offset and other morphometric parameters
title_full Correlation between femoral offset and other morphometric parameters
title_fullStr Correlation between femoral offset and other morphometric parameters
title_full_unstemmed Correlation between femoral offset and other morphometric parameters
title_short Correlation between femoral offset and other morphometric parameters
title_sort correlation between femoral offset and other morphometric parameters
topic neck shaft angle
image j
femur replacement
head-neck axis
url http://www.njca.info/article.asp?issn=2277-4025;year=2017;volume=6;issue=2;spage=137;epage=145;aulast=Pratima
work_keys_str_mv AT jaiswalpratima correlationbetweenfemoraloffsetandothermorphometricparameters
AT vermalakshmi correlationbetweenfemoraloffsetandothermorphometricparameters
AT ghulyanituhin correlationbetweenfemoraloffsetandothermorphometricparameters