3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis

Hip osteoarthritis is an increasingly important cause of morbidity in the ageing population causing pain, disability and loss of function through joint failure. It has an estimated lifetime risk of 25%. While the contribution of skeletal morphology to disease is now established, the lack of imaging...

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Main Author: Burkov, Ilya Sergeevieh
Format: Thesis
Language:English
Published: Apollo - University of Cambridge Repository 2019
Subjects:
Hip
3D
CT
THR
OA
K&L
CBM
Online Access:https://dx.doi.org/10.17863/cam.38570
https://www.repository.cam.ac.uk/handle/1810/291399
id ftdatacite:10.17863/cam.38570
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Osteoarthritis
Hip
Hips
Bone
Bones
3D
Analysis
3D Analysis
CT
Imaging
Prediction
Predicting
3D Imaging
Hip Joint
Total Hip Replacement
THR
OA
Computed Tomography
Bone Thickness
Femoral Head
Kellgen And Lawrence
Kellgen & Lawrence
K&L
mJSW
Minimum Joint Space Width
AGES
AGES Reykjavik
Cortical Thickness
Hip Pain
Pain
AGES Reykjavik Study
Mindways
Mindways Study
Radiographs
Radiography
CBM
Cortical Bone Mapping
spellingShingle Osteoarthritis
Hip
Hips
Bone
Bones
3D
Analysis
3D Analysis
CT
Imaging
Prediction
Predicting
3D Imaging
Hip Joint
Total Hip Replacement
THR
OA
Computed Tomography
Bone Thickness
Femoral Head
Kellgen And Lawrence
Kellgen & Lawrence
K&L
mJSW
Minimum Joint Space Width
AGES
AGES Reykjavik
Cortical Thickness
Hip Pain
Pain
AGES Reykjavik Study
Mindways
Mindways Study
Radiographs
Radiography
CBM
Cortical Bone Mapping
Burkov, Ilya Sergeevieh
3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis
topic_facet Osteoarthritis
Hip
Hips
Bone
Bones
3D
Analysis
3D Analysis
CT
Imaging
Prediction
Predicting
3D Imaging
Hip Joint
Total Hip Replacement
THR
OA
Computed Tomography
Bone Thickness
Femoral Head
Kellgen And Lawrence
Kellgen & Lawrence
K&L
mJSW
Minimum Joint Space Width
AGES
AGES Reykjavik
Cortical Thickness
Hip Pain
Pain
AGES Reykjavik Study
Mindways
Mindways Study
Radiographs
Radiography
CBM
Cortical Bone Mapping
description Hip osteoarthritis is an increasingly important cause of morbidity in the ageing population causing pain, disability and loss of function through joint failure. It has an estimated lifetime risk of 25%. While the contribution of skeletal morphology to disease is now established, the lack of imaging biomarkers that can reliably predict osteoarthritis development is limiting. Novel biomarkers for clinically relevant hip osteoarthritis are needed particularly methods to identify patients who are destined for total hip replacement (THR) surgery and who might benefit from novel interventions. The chosen techniques studied here involved 2D and 3D measures of hip cortical bone structure from routine clinical computed tomography (CT) scans of patients to predict clinically-relevant hip osteoarthritis. Outside the research environment, clinical practice and trials still use simple 2D outcome measures from radiographs. Clinical diagnosis and surgical decision making therefore rely on combinations of poorly-defined disease signs and symptoms and controversially, 2D radiographic imaging. Such methods overlook key 3D disease features. In many osteoarthritis guidelines, clinicians are now advised to avoid imaging altogether. This work asked three important research questions concerning hip osteoarthritis. 1. Does imaging have clinical utility in managing patients with hip pain, and in particular are hip radiographs effective in predicting THR? 2. Does 3D imaging using clinical CT have clinical utility in predicting THR, and is there a 3D phenotype of bone thickening associated with eventual THR? 3. Is the 3D bone thickening associated with hip osteoarthritis an inevitable consequence of ageing? In order to answer these, CT cortical thickness data was acquired from two population based studies; one in only older men and women from the Age, Gene/Environment Susceptibility- Reykjavik (AGES) Study in Iceland and the other from the Mindways study acquired from 11 healthcare centres around the USA, of women aged 20-97 years. CT scans were coupled with new image analysis techniques called 3D cortical bone thickness mapping, statistical parametric mapping and disease feature distribution mapping. Recently it was hypothesised that focal bone thickening in regions of the hip cortex would be associated with eventual hip joint replacement and radiological progression of osteoarthritis features. Combining hip pain, radiographic osteoarthritis grade and CT gave excellent discrimination of THR (0.90;0.85,0.95). Conversely, hip pain was a poor to marginal predictor (AUC=0.70; 95%CI 0.62,0.78). The AUC for radiographic Kellgren and Lawrence (K&L) osteoarthritis grade alone was 0.87(0.81,0.92), irrespective of hip pain, with single mJSW being a rea- sonable discriminator (0.80;0.73,0.87). Osteoarthritis was also associated with a CT-defined crescent of femoral head surface bone thickening (Odds Ratio for THR; 5 per SD thicker; 5.0(3.2,7.7), 0.85(0.79,0.91)). In a typical clinical presentation with hip pain, all of the imaging parameters measured ranged from good to excellent in terms of clinical utility. Imaging unequivocally predicted THR for osteoarthritis, whether or not pain had become apparent. Contrary to current guidelines, images of patients with hip pain have good to ex- cellent clinical utility for selecting surgically-relevant presentations. If patients with definite hip pain had definite radiological osteoarthritis, 85% went on to THR within 3 years. : National Institutes of Health contract N01-AG-012100; National Institute on Aging Intramural Research Program, Hjartavernd (the Icelandic Heart Association); Althingi (the Icelandic Parliament); Adrian J. Crisp Studentship
format Thesis
author Burkov, Ilya Sergeevieh
author_facet Burkov, Ilya Sergeevieh
author_sort Burkov, Ilya Sergeevieh
title 3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis
title_short 3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis
title_full 3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis
title_fullStr 3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis
title_full_unstemmed 3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis
title_sort 3d analysis of the hip joint for the prediction of osteoarthritis
publisher Apollo - University of Cambridge Repository
publishDate 2019
url https://dx.doi.org/10.17863/cam.38570
https://www.repository.cam.ac.uk/handle/1810/291399
genre Iceland
genre_facet Iceland
op_rights https://www.rioxx.net/licenses/all-rights-reserved/
All Rights Reserved
All rights reserved
op_doi https://doi.org/10.17863/cam.38570
_version_ 1766043878440304640
spelling ftdatacite:10.17863/cam.38570 2023-05-15T16:53:21+02:00 3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis Burkov, Ilya Sergeevieh 2019 https://dx.doi.org/10.17863/cam.38570 https://www.repository.cam.ac.uk/handle/1810/291399 en eng Apollo - University of Cambridge Repository https://www.rioxx.net/licenses/all-rights-reserved/ All Rights Reserved All rights reserved Osteoarthritis Hip Hips Bone Bones 3D Analysis 3D Analysis CT Imaging Prediction Predicting 3D Imaging Hip Joint Total Hip Replacement THR OA Computed Tomography Bone Thickness Femoral Head Kellgen And Lawrence Kellgen & Lawrence K&L mJSW Minimum Joint Space Width AGES AGES Reykjavik Cortical Thickness Hip Pain Pain AGES Reykjavik Study Mindways Mindways Study Radiographs Radiography CBM Cortical Bone Mapping Text Thesis article-journal ScholarlyArticle 2019 ftdatacite https://doi.org/10.17863/cam.38570 2021-11-05T12:55:41Z Hip osteoarthritis is an increasingly important cause of morbidity in the ageing population causing pain, disability and loss of function through joint failure. It has an estimated lifetime risk of 25%. While the contribution of skeletal morphology to disease is now established, the lack of imaging biomarkers that can reliably predict osteoarthritis development is limiting. Novel biomarkers for clinically relevant hip osteoarthritis are needed particularly methods to identify patients who are destined for total hip replacement (THR) surgery and who might benefit from novel interventions. The chosen techniques studied here involved 2D and 3D measures of hip cortical bone structure from routine clinical computed tomography (CT) scans of patients to predict clinically-relevant hip osteoarthritis. Outside the research environment, clinical practice and trials still use simple 2D outcome measures from radiographs. Clinical diagnosis and surgical decision making therefore rely on combinations of poorly-defined disease signs and symptoms and controversially, 2D radiographic imaging. Such methods overlook key 3D disease features. In many osteoarthritis guidelines, clinicians are now advised to avoid imaging altogether. This work asked three important research questions concerning hip osteoarthritis. 1. Does imaging have clinical utility in managing patients with hip pain, and in particular are hip radiographs effective in predicting THR? 2. Does 3D imaging using clinical CT have clinical utility in predicting THR, and is there a 3D phenotype of bone thickening associated with eventual THR? 3. Is the 3D bone thickening associated with hip osteoarthritis an inevitable consequence of ageing? In order to answer these, CT cortical thickness data was acquired from two population based studies; one in only older men and women from the Age, Gene/Environment Susceptibility- Reykjavik (AGES) Study in Iceland and the other from the Mindways study acquired from 11 healthcare centres around the USA, of women aged 20-97 years. CT scans were coupled with new image analysis techniques called 3D cortical bone thickness mapping, statistical parametric mapping and disease feature distribution mapping. Recently it was hypothesised that focal bone thickening in regions of the hip cortex would be associated with eventual hip joint replacement and radiological progression of osteoarthritis features. Combining hip pain, radiographic osteoarthritis grade and CT gave excellent discrimination of THR (0.90;0.85,0.95). Conversely, hip pain was a poor to marginal predictor (AUC=0.70; 95%CI 0.62,0.78). The AUC for radiographic Kellgren and Lawrence (K&L) osteoarthritis grade alone was 0.87(0.81,0.92), irrespective of hip pain, with single mJSW being a rea- sonable discriminator (0.80;0.73,0.87). Osteoarthritis was also associated with a CT-defined crescent of femoral head surface bone thickening (Odds Ratio for THR; 5 per SD thicker; 5.0(3.2,7.7), 0.85(0.79,0.91)). In a typical clinical presentation with hip pain, all of the imaging parameters measured ranged from good to excellent in terms of clinical utility. Imaging unequivocally predicted THR for osteoarthritis, whether or not pain had become apparent. Contrary to current guidelines, images of patients with hip pain have good to ex- cellent clinical utility for selecting surgically-relevant presentations. If patients with definite hip pain had definite radiological osteoarthritis, 85% went on to THR within 3 years. : National Institutes of Health contract N01-AG-012100; National Institute on Aging Intramural Research Program, Hjartavernd (the Icelandic Heart Association); Althingi (the Icelandic Parliament); Adrian J. Crisp Studentship Thesis Iceland DataCite Metadata Store (German National Library of Science and Technology)