Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study-Reference-Cited by-同舟云学术

Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study

Published:2019-06 Issue:6 Volume:27 Page:906-914
ISSN:1063-4584
Container-title:Osteoarthritis and Cartilage
language:en
Short-container-title:Osteoarthritis and Cartilage

Author:

Hirvasniemi J.^ORCID,Gielis W.P.^ORCID,Arbabi S.,Agricola R.,van Spil W.E.^ORCID,Arbabi V.,Weinans H.^ORCID

Funder

Academy of Finland

Dutch Arthritis Foundation

Erasmus Medical Center

Kennemer Gasthuis Haarlem

Leiden University Medical Center

Maastricht University Medical Center

Martini Hospital Groningen

Allied Health Care Center for Rheumatology and Rehabilitation Groningen

Medical Spectrum Twente Enschede

Ziekenhuisgroep Twente Almelo

Reade Center for Rehabilitation and Rheumatology

St.Maartens-kliniek Nijmegen

University Medical Center Utrecht

Wilhelmina Hospital Assen

Publisher

Elsevier BV

Subject

Orthopedics and Sports Medicine,Biomedical Engineering,Rheumatology

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3. Radiographic bone texture analysis is correlated with 3D microarchitecture in the femoral head, and improves the estimation of the femoral neck fracture risk when combined with bone mineral density;Ollivier;Eur J Radiol,2013

4. Comparison of radiograph-based texture analysis and bone mineral density with three-dimensional microarchitecture of trabecular bone;Ranjanomennahary;Med Phys,2011

5. Radiographic trabecular 2D and 3D parameters of proximal femoral bone cores correlate with each other and with yield stress;Steines;Osteoporos Int,2009

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