Morphometric Examination of the Larynx in Turkish Population.

Objective: The aim of this study was to measure laryngeal dimensions in a sample of Turkish cadavers, including males and females of various ages and heights.

Materials And Methods: Morphological measurement was performed on 102 laryngeal specimens. Hyoid bone and laryngeal cartilages were removed from human cadavers.

The validity, reliability, and responsiveness of a new biopscyhosocial questionnaire for patients with systemic lupus erythematosus.

Objective: In recent years, the importance of holistic care in individuals with systemic lupus erythematosus (SLE) has been emphasized, and therefore a measurement tool that evaluates biopsychosocial impact is needed. This study was conducted to determine the validity, reliability, and responsiveness of the Cognitive Exercise Therapy Approach-Biopsychosocial Questionnaire (BETY-BQ) in individuals with SLE.

Methods: Lupus Quality of Life (LupusQoL), Short Form-36 (SF-36), Health Assessment Questionnaire (HAQ), and Hospital Anxiety and Depression Scale (HADS) were used for the validity.

Assessment and comparison of the 2023 ACR/EULAR APS criteria with the revised Sapporo criteria.

Objective: To analyze antiphospholipid antibody (aPL)-positive patients using the 2023 American College of Rheumatology/The European Alliance of Associations for Rheumatology (ACR/EULAR) antiphospholipid syndrome (APS) classification criteria and compare the revised Sapporo criteria and the 2023 ACR/EULAR criteria and evaluate whether the 2023 ACR/EULAR criteria provide added value over the revised Sapporo criteria.

Methods: In this descriptive study, 94 aPL-positive patients (with or without APS diagnosis) were identified from two hospital-based registries (Gazi and Hacettepe University). Patients were classified into four groups to compare both criteria sets.

Transitioning from pediatric to adult-oriented healthcare in rheumatology: the pediatric side of the coin.

Objectives: The transition of adolescents and young adults (AYAs) from pediatric to adult-oriented healthcare may be affected by many factors, including the personal and cultural settings. We aimed to analyze the transition readiness and the factors affecting the transition success in rheumatology.

Methods: Patients older than 12 years were included in this prospective study.

Autism Spectrum Disorder Detection by Hybrid Convolutional Recurrent Neural Networks from Structural and Resting State Functional MRI Images.

This study aims to increase the accuracy of autism spectrum disorder (ASD) diagnosis based on cognitive and behavioral phenotypes through multiple neuroimaging modalities. We apply machine learning (ML) algorithms to classify ASD patients and healthy control (HC) participants using structural magnetic resonance imaging (s-MRI) together with resting state functional MRI (rs-f-MRI and f-MRI) data from the large multisite data repository ABIDE (autism brain imaging data exchange) and identify important brain connectivity features. The 2D f-MRI images were converted into 3D s-MRI images, and datasets were preprocessed using the Montreal Neurological Institute (MNI) atlas.