Literature DB >> 36187593

Morphometric Analysis of Ulnar Variance and Its Demographic Dynamics Using High Resolution MRI: A Retrospective Study in Indian Population and Review of Literature.

Prashant Kamble1, Sameer Panchal2, Rudra Prabhu3, Himanshu Choudhury4, Shubhranshu S Mohanty1.   

Abstract

Background: Ulnar variance (UV) is the variation of the level of the distal articulating surface of the radius with respect to the distal articulating surface of the ulna. These variations either positive or negative can predispose to pathologies involving the wrist joint. The aim of this study was to measure the ulnar variance in a subset of Indian population using high-resolution MRI and compare our results with the existing literature. Materials and
Methods: Retrospective analysis of 100 normal wrist MRIs were done performed during November 2020 to November 2021 and the ulnar variance was calculated using the Method of Perpendiculars. All the MRI sequences were performed by an experienced radiologist with prior fixed protocol for the study. The measurements were done on the mid-coronal section based on the Method of Perpendiculars using Meddiff Rispacs software.
Results: The average age of the participants was 42 years, with Male to female ratio of 0.9:1. 47 MRIs were of the left wrist, while 53 MRIs were of the right wrist. The mean UV was - 0.7 mm (SD-0.175), ranging from - 4.5 mm to 3.5 mm. There was a significant relationship between ulnar-variance and age, as ulnar-variance increases with the age (p value = 0.039). There was no statistically significant correlation of ulnar-variance with gender distribution and handedness. Conclusions: This study utilized high-resolution MRI for measuring ulnar-variance in a subset of Indian population and disclosed that the ulnar-variance affirms a positive correlation with age, while no specific pattern between the ulnar-variance and gender or handedness could be established. © Indian Orthopaedics Association 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Entities:  

Keywords:  Age; Gender; Indian population; MRI; Method of Perpendiculars; Ulnar variance; Wrist

Year:  2022        PMID: 36187593      PMCID: PMC9485351          DOI: 10.1007/s43465-022-00717-1

Source DB:  PubMed          Journal:  Indian J Orthop        ISSN: 0019-5413            Impact factor:   1.033


  21 in total

1.  [The influence of ulnar variance on the healing of scaphoid fractures].

Authors:  S Rogalski; U Hug; R Osinga; B-C Link; U von Wartburg
Journal:  Handchir Mikrochir Plast Chir       Date:  2011-09-20       Impact factor: 1.018

2.  Measurement of Ulnar Variance in a Regional Subset of Indian Population-A Pilot Study of 30 Subjects.

Authors:  Divesh Jalan; Abhay Elhence; Prakrati Yadav
Journal:  J Clin Diagn Res       Date:  2015-09-01

3.  Negative Ulnar Variance and Kienböck Disease.

Authors:  Wouter F van Leeuwen; Kamilcan Oflazoglu; Mariano E Menendez; David Ring
Journal:  J Hand Surg Am       Date:  2015-12-11       Impact factor: 2.230

4.  Ageing does not affect ulnar variance: an investigation in Taiwan.

Authors:  W-S Chen; J-W Wang
Journal:  J Hand Surg Eur Vol       Date:  2008-10-20

5.  A comparison of 3-D computed tomography versus 2-D radiography measurements of ulnar variance and ulnolunate distance during forearm rotation.

Authors:  Y Kawanishi; H Moritomo; S Omori; T Kataoka; T Murase; K Sugamoto
Journal:  J Hand Surg Eur Vol       Date:  2013-12-09

Review 6.  Critical analysis of causality between negative ulnar variance and Kienböck disease.

Authors:  Stéphane Stahl; Adelana Santos Stahl; Christoph Meisner; Pascal J H Hentschel; Stephan Valina; Oliver Luz; Hans-Eberhard Schaller; Oliver Lotter
Journal:  Plast Reconstr Surg       Date:  2013-10       Impact factor: 4.730

7.  Kienböck disease and negative ulnar variance.

Authors:  M Bonzar; J C Firrell; M Hainer; E T Mah; S J McCabe
Journal:  J Bone Joint Surg Am       Date:  1998-08       Impact factor: 5.284

8.  Anatomic variations in radial and ulnar lengths in the wrists of Chinese.

Authors:  K P Chan; P Huang
Journal:  Clin Orthop Relat Res       Date:  1971-10       Impact factor: 4.176

9.  Evaluation of ulnar variance on wrist MR imaging: is it a reliable measure?

Authors:  Aline Serfaty; Hugo Pereira Costa; Conrado Eduardo Foelker; Eduardo Noda Kihara Filho; Felipe Ferreira Souza; Marcelo Bordalo-Rodrigues
Journal:  Skeletal Radiol       Date:  2019-12-05       Impact factor: 2.199

10.  Ulnar variance and age.

Authors:  P L Sanderson; I C Cameron; G R Holt; D Stanley
Journal:  J Hand Surg Br       Date:  1997-02
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