A novel semi-automated classifier of radiographic hip osteoarthritis on DXA scans is strongly predictive of pain, clinical diagnosis and joint replacement: findings from 40,000 participants in UK Biobank

Ben Faber; Raja Ebsim; Fiona R. Saunders; Monika Frysz; Claudia Lindner; Jennifer S. Gregory; Richard M. Aspden; Nick  Harvey; G Davey Smith; Timothy Cootes; Jon Tobias

A novel semi-automated classifier of radiographic hip osteoarthritis on DXA scans is strongly predictive of pain, clinical diagnosis and joint replacement: findings from 40,000 participants in UK Biobank

Ben Faber, Raja Ebsim, Fiona R. Saunders, Monika Frysz, Claudia Lindner, Jennifer S. Gregory, Richard M. Aspden, Nick Harvey, G Davey Smith, Timothy Cootes, Jon Tobias

Division of Informatics, Imaging & Data Sciences (L5)

University of Aberdeen

Research output: Contribution to conference › Abstract › peer-review

Original language	English
Publication status	Accepted/In press - Aug 2021
Event	ACR Convergence 2021 - Duration: 3 Nov 2021 → 10 Nov 2021

Conference

Conference	ACR Convergence 2021
Period	3/11/21 → 10/11/21

Access to Document

https://acrabstracts.org/abstract/a-novel-semi-automated-classifier-of-radiographic-hip-osteoarthritis-on-dxa-scans-is-strongly-predictive-of-pain-clinical-diagnosis-and-joint-replacement-findings-from-40000-participants-in-uk-biob/

Cite this

Faber, B., Ebsim, R., Saunders, F. R., Frysz, M., Lindner, C., Gregory, J. S., Aspden, R. M., Harvey, N., Davey Smith, G., Cootes, T., & Tobias, J. (Accepted/In press). A novel semi-automated classifier of radiographic hip osteoarthritis on DXA scans is strongly predictive of pain, clinical diagnosis and joint replacement: findings from 40,000 participants in UK Biobank. Abstract from ACR Convergence 2021. https://acrabstracts.org/abstract/a-novel-semi-automated-classifier-of-radiographic-hip-osteoarthritis-on-dxa-scans-is-strongly-predictive-of-pain-clinical-diagnosis-and-joint-replacement-findings-from-40000-participants-in-uk-biob/

@conference{d6834ac73244428dbedd1b9594296296,

title = "A novel semi-automated classifier of radiographic hip osteoarthritis on DXA scans is strongly predictive of pain, clinical diagnosis and joint replacement: findings from 40,000 participants in UK Biobank",

author = "Ben Faber and Raja Ebsim and Saunders, \{Fiona R.\} and Monika Frysz and Claudia Lindner and Gregory, \{Jennifer S.\} and Aspden, \{Richard M.\} and Nick Harvey and \{Davey Smith\}, G and Timothy Cootes and Jon Tobias",

year = "2021",

month = aug,

language = "English",

note = "ACR Convergence 2021 ; Conference date: 03-11-2021 Through 10-11-2021",

}

Faber, B, Ebsim, R, Saunders, FR, Frysz, M, Lindner, C, Gregory, JS, Aspden, RM, Harvey, N, Davey Smith, G, Cootes, T & Tobias, J 2021, 'A novel semi-automated classifier of radiographic hip osteoarthritis on DXA scans is strongly predictive of pain, clinical diagnosis and joint replacement: findings from 40,000 participants in UK Biobank', ACR Convergence 2021, 3/11/21 - 10/11/21. <https://acrabstracts.org/abstract/a-novel-semi-automated-classifier-of-radiographic-hip-osteoarthritis-on-dxa-scans-is-strongly-predictive-of-pain-clinical-diagnosis-and-joint-replacement-findings-from-40000-participants-in-uk-biob/>

A novel semi-automated classifier of radiographic hip osteoarthritis on DXA scans is strongly predictive of pain, clinical diagnosis and joint replacement: findings from 40,000 participants in UK Biobank. / Faber, Ben; Ebsim, Raja; Saunders, Fiona R. et al.
2021. Abstract from ACR Convergence 2021.

Research output: Contribution to conference › Abstract › peer-review

TY - CONF

T1 - A novel semi-automated classifier of radiographic hip osteoarthritis on DXA scans is strongly predictive of pain, clinical diagnosis and joint replacement: findings from 40,000 participants in UK Biobank

AU - Faber, Ben

AU - Ebsim, Raja

AU - Saunders, Fiona R.

AU - Frysz, Monika

AU - Lindner, Claudia

AU - Gregory, Jennifer S.

AU - Aspden, Richard M.

AU - Harvey, Nick

AU - Davey Smith, G

AU - Cootes, Timothy

AU - Tobias, Jon

PY - 2021/8

Y1 - 2021/8

M3 - Abstract

T2 - ACR Convergence 2021

Y2 - 3 November 2021 through 10 November 2021

ER -