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Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_18 | Pages 33 - 33
14 Nov 2024
Fallahy M Shaker F Ghanbari F Aslani MA Mohammadi S Behrouzieh S
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Introduction

Knee Osteoarthritis (KOA) is a prevalent joint disease requiring accurate diagnosis and prompt management. The condition occurs due to cartilage deterioration and bone remodeling. Ultrasonography has emerged as a promising modality for diagnosing KOA. Medial meniscus extrusion (MME), characterized by displacement of medial meniscus beyond the joint line has been recognized as a significant marker of KOA progression. This study aimed to explore potentials Ultrasound findings in timely detection of MME and compare it to magnetic resonance imaging (MRI) as a reference standard.

Method

A comprehensive literature search was performed in 4 databases from inception to May 1 2024. Two independent reviewers, initiated screening protocols and selected the articles based on inclusion and exclusion criteria and then extracted the data. Meta-analysis was conducted using R 4.3.2 packages mada and metafor.


Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_18 | Pages 60 - 60
14 Nov 2024
Asgari A Shaker F Fallahy MTP Soleimani M Shafiei SH Fallah Y
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Introduction

Shoulder arthroplasty (SA) has been performed with different types of implants, each requiring different replacement systems. However, data on previously utilized implant types are not always available before revision surgery, which is paramount to determining the appropriate equipment and procedure. Therefore, this meta-analysis aimed to evaluate the accuracy of the AI models in classifying SA implant types.

Methods

This systematic review was conducted in Pubmed, Embase, SCOPUS, and Web of Science from inception to December 2023, according to PRISMA guidelines. Peer-reviewed research evaluating the accuracy of AI-based tools on upper-limb X-rays for recognizing and categorizing SA implants was included. In addition to the overall meta-analysis, subgroup analysis was performed according to the type of AI model applied (CNN (Convolutional neural network), non-CNN, or Combination of both) and the similarity of utilized datasets between studies.


Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_18 | Pages 115 - 115
14 Nov 2024
Zargarbashi R Vosoughi F Shaker F Mirbeyk M Seifi M Vafaee AR
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Introduction

The management of pathologic fractures (PF) following osteomyelitis (especially acute subtype) has not been widely investigated. This is challenging due to the infection-induced destructive process causing bone architecture defects. Therefore, this study aims to assess a stepwise treatment plan for the acute incidence of PF in long bone following pediatric acute Hematogenous osteomyelitis(AHO) (the most common mechanism in children).

Method

This case series was conducted in a tertiary pediatric center. Patients with fracture incidence within the first 10 days after AHO diagnosis were included. Patients’ characteristics were retrospectively reviewed.