Meniscal Extrusion Correlates with Symptom Severity in Knee Osteoarthritis: An Ultrasound and Magnetic Resonance Imaging Analysis of 100 Patients.

: The aim of this study was to investigate how meniscal extrusion, assessed either with ultrasounds or magnetic resonance (MR), correlates with clinical symptoms in knee osteoarthritis (OA). One hundred patients with symptomatic knee OA were enrolled (60.3 ± 9.

A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis.

Antinuclear Antibody (ANA) testing is pivotal to help diagnose patients with a suspected autoimmune disease. The Indirect Immunofluorescence (IIF) microscopy performed with human epithelial type 2 (HEp-2) cells as the substrate is the reference method for ANA screening. It allows for the detection of antibodies binding to specific intracellular targets, resulting in various staining patterns that should be identified for diagnosis purposes.

Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network.

Background And Objective: Tendon segmentation is crucial for studying tendon-related pathologies like tendinopathy, tendinosis, etc. This step further enables detailed analysis of specific tendon regions using automated or semi-automated methods. This study specifically aims at the segmentation of Achilles tendon, the largest tendon in the human body.

Medial meniscal lesions increase antero-posterior laxity in knees with anterior cruciate ligament injury.

Purpose: The aim of this study was to quantify the impact of concomitant meniscal lesions on knee laxity using a triaxial accelerometer in a large population of patients affected by anterior cruciate ligament (ACL) injury.

Methods: A total of 326 consecutive patients (261 men and 65 women, mean age 31.3 ± 11.