Leg-Length Discrepancy Variability on Standard Anteroposterior Pelvis Radiographs: An Analysis Using Deep Learning Measurements-Reference-Cited by-同舟云学术

Leg-Length Discrepancy Variability on Standard Anteroposterior Pelvis Radiographs: An Analysis Using Deep Learning Measurements

Published:2023-10 Issue:10 Volume:38 Page:2017-2023.e3
ISSN:0883-5403
Container-title:The Journal of Arthroplasty
language:en
Short-container-title:The Journal of Arthroplasty

Author:

Jang Seong Jun^ORCID,Kunze Kyle N.^ORCID,Bornes Troy D.,Anderson Christopher G.,Mayman David J.,Jerabek Seth A.,Vigdorchik Jonathan M.,Sculco Peter K.

Funder

National Institute of Arthritis and Musculoskeletal and Skin Diseases

National Institutes of Health

National Institute of Mental Health

Publisher

Elsevier BV

Subject

Orthopedics and Sports Medicine

Reference29 articles.

1. Prevalence of knee and hip osteoarthritis and the appropriateness of joint replacement in an older population;Quintana;Arch Intern Med,2008

2. Symptoms of the knee and hip in individuals with and without limb length inequality;Golightly;Osteoarthr Cartilage,2009

3. Association of leg-length inequality with knee osteoarthritis A cohort study;Harvey;Ann Intern Med,2010

4. The importance of leg length discrepancy after total hip arthroplasty;Konyves;J Bone Joint Surg Br,2005

5. The pants too short, the leg too long!;Ranawat;Orthopedics,1999

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