Literature DB >> 22139532

Predicting OA progression to total hip replacement: can we do better than risk factors alone using active shape modelling as an imaging biomarker?

Rebecca J Barr1, Jennifer S Gregory, David M Reid, Richard M Aspden, Kanako Yoshida, Gillian Hosie, Alan J Silman, Salvatore Alesci, Gary J Macfarlane.   

Abstract

OBJECTIVE: Previously, active shape modelling (ASM) of the proximal femur was shown to identify those individuals at highest risk of developing radiographic OA. Here we determine whether ASM predicts the need for total hip replacement (THR) independent of Kellgren-Lawrence grade (KLG) and other known risk factors.
METHODS: A retrospective cohort study of 141 subjects consulting primary care with new hip pain was conducted. Pelvic radiographs taken on recruitment were assessed for KLG, centre-edge angle, acetabular depth and femoral head migration. Clinical factors (duration of pain, use of a stick and physical function) were collected by self-completed questionnaires. ASM differences between shape mode scores at baseline for individuals who underwent THR during the 5-year follow-up (n = 27) and those whose OA did not progress radiographically (n = 75) were compared.
RESULTS: A 1 s.d. reduction in baseline ASM mode 2 score was associated with an 81% reduction in odds of THR (OR = 0.19, 95% CI 0.52, 0.70) after adjustment for KLG, radiographic and clinical factors. A similar reduction in odds of THR was associated with a 1 s.d. reduction in mode 3 (OR = 0.45, 95% CI 0.28, 0.71) and a 1 s.d. increase in mode 4 score (OR = 2.8, 95% CI 1.7, 4.7), although these associations were no longer significant after adjustment for KLG and clinical factors.
CONCLUSION: ASM of the hip joint is a reliable early biomarker of radiographic OA severity, which can improve the ability to identify patients at higher risk of rapid progression and poor outcome even when KLG and clinical risk factors are taken into account.

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Year:  2011        PMID: 22139532     DOI: 10.1093/rheumatology/ker382

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  17 in total

1.  Novel statistical methodology reveals that hip shape is associated with incident radiographic hip osteoarthritis among African American women.

Authors:  H An; J S Marron; T A Schwartz; J B Renner; F Liu; J A Lynch; N E Lane; J M Jordan; A E Nelson
Journal:  Osteoarthritis Cartilage       Date:  2015-11-24       Impact factor: 6.576

2.  Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip.

Authors:  Penny R Atkins; Praful Agrawal; Joseph D Mozingo; Keisuke Uemura; Kunihiko Tokunaga; Christopher L Peters; Shireen Y Elhabian; Ross T Whitaker; Andrew E Anderson
Journal:  J Orthop Res       Date:  2021-12-05       Impact factor: 3.102

3.  Proximal femur shape differs between subjects with lateral and medial knee osteoarthritis and controls: the Osteoarthritis Initiative.

Authors:  B L Wise; L Kritikos; J A Lynch; F Liu; N Parimi; K L Tileston; M C Nevitt; N E Lane
Journal:  Osteoarthritis Cartilage       Date:  2014-09-03       Impact factor: 6.576

4.  Osteoporosis epidemiology in UK Biobank: a unique opportunity for international researchers.

Authors:  N C Harvey; P Matthews; R Collins; C Cooper
Journal:  Osteoporos Int       Date:  2013-09-21       Impact factor: 4.507

5.  Increasing shape modelling accuracy by adjusting for subject positioning: an application to the analysis of radiographic proximal femur symmetry using data from the Osteoarthritis Initiative.

Authors:  C Lindner; G A Wallis; T F Cootes
Journal:  Bone       Date:  2014-01-14       Impact factor: 4.398

6.  Investigation of association between hip osteoarthritis susceptibility loci and radiographic proximal femur shape.

Authors:  Claudia Lindner; Shankar Thiagarajah; J Mark Wilkinson; Kalliope Panoutsopoulou; Aaron G Day-Williams; Timothy F Cootes; Gillian A Wallis
Journal:  Arthritis Rheumatol       Date:  2015-05       Impact factor: 10.995

7.  DXA-derived hip shape is related to osteoarthritis: findings from in the MrOS cohort.

Authors:  B G Faber; D Baird; C L Gregson; J S Gregory; R J Barr; R M Aspden; J Lynch; M C Nevitt; N E Lane; E Orwoll; J H Tobias
Journal:  Osteoarthritis Cartilage       Date:  2017-09-21       Impact factor: 6.576

8.  Associations between body mass index across adult life and hip shapes at age 60 to 64: Evidence from the 1946 British birth cohort.

Authors:  Stella G Muthuri; Fiona R Saunders; Rebecca J Hardy; Anastasia V Pavlova; Kathryn R Martin; Jennifer S Gregory; Rebecca J Barr; Judith E Adams; Diana Kuh; Richard M Aspden; Rachel Cooper
Journal:  Bone       Date:  2017-08-24       Impact factor: 4.398

9.  Variations in Hip Shape Are Associated with Radiographic Knee Osteoarthritis: Cross-sectional and Longitudinal Analyses of the Johnston County Osteoarthritis Project.

Authors:  Amanda E Nelson; Yvonne M Golightly; Jordan B Renner; Todd A Schwartz; Felix Liu; John A Lynch; Jenny S Gregory; Richard M Aspden; Nancy E Lane; Joanne M Jordan
Journal:  J Rheumatol       Date:  2015-12-15       Impact factor: 4.666

Review 10.  A systematic review of the relationship between subchondral bone features, pain and structural pathology in peripheral joint osteoarthritis.

Authors:  Andrew J Barr; T Mark Campbell; Devan Hopkinson; Sarah R Kingsbury; Mike A Bowes; Philip G Conaghan
Journal:  Arthritis Res Ther       Date:  2015-08-25       Impact factor: 5.156

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