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Discrepancies in long-leg alignment and knee joint line obliquity between two- and three-dimensional measurements under weight-bearing conditions: Effects on coronal plane alignment of the knee classification.
Knee
January 2025
Department of Radiology, Keio University School of Medicine, Shinjuku, Tokyo, Japan.
Background: Long-leg alignment and joint line obliquity have traditionally been assessed using two-dimensional (2D) radiography, but the accuracy of this measurement has remained unclear. This study aimed to evaluate the accuracy of 2D measurements of lateral distal femoral angle (LDFA) and medial proximal tibial angle (MPTA) using upright three-dimensional (3D) computed tomography (CT).
Methods: This study involved 66 knees from 38 patients (34 women, four men) with knee osteoarthritis (OA), categorized by Kellgren-Lawrence (KL) grade.
Individualized total knee arthroplasty achieves better functional results than off-the-shelf implants in patients undergoing personalized coronal alignment.
Knee
January 2025
IULS-University Institute for Locomotion and Sports, Pasteur 2 Hospital, University Côte d'Azur, Nice, France; ICARE Team, Côte d'Azur University, Inserm, CNRS, Valrose Institute of Biology, Nice, France. Electronic address:
Background: Several studies have demonstrated the interest in patient-specific custom cutting guides in total knee arthroplasty (TKA), but clinical improvement remains debated. The purpose of this study was to evaluate the functional outcomes (Forgotten Joint Score, FJS) of patients undergoing individualized TKA compared with those receiving off-the-shelf (OTS) implants, both using patient-specific cutting guides with personalized alignment over a minimum follow up period of 12 months. We hypothesized that individualized TKA demonstrates significantly better functional outcomes than OTS TKA (FJS and percentage of patients reaching the minimum clinically important difference).
View Article and Find Full Text PDFHow therapist effects shape pain-related outcome improvement in psychological treatments for chronic pain.
Curr Opin Psychol
January 2025
Department of Rehabilitation Medicine, The University of Washington, Seattle, WA, USA.
Psychological chronic pain treatments have variable efficacy across individual patients, and on average tend to produce modest effects. In order to improve treatment outcomes, the past decade has seen a rapid increase in research focused on determining the mechanisms underlying treatment-related gains. The near exclusive focus of this research has been on uncovering patient-related mediators and moderators.
View Article and Find Full Text PDFThe feasibility of using machine learning to predict COVID-19 cases.
Int J Med Inform
January 2025
School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom. Electronic address:
Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.
View Article and Find Full Text PDFIdentification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.
Int J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.
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