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Endocrine
January 2025
Centro di Ricerca e Innovazione sulle Patologie Surrenaliche, AOU Careggi, Florence, Italy.
Purpose: To compare functional deficits associated to surgery with those caused by the growth of the head and neck paragangliomas (HNPGLs).
Methods: 72 patients with HNPGLs were included. Patients were divided in group A (49 patients undergoing surgery) and group B (23 patients following a wait and see approach).
Geriatr Nurs
January 2025
West China Biomedical Big Data Center, West China Hospital of Sichuan University, Chengdu, China. Electronic address:
Value-based healthcare is increasingly emphasizing attention to patients' self-reported experiences. However, due to the lack of effective tools, older patients in China lack feedback on the comprehensive care experience. Based on the psychometric assessment procedure, we developed a new geriatric inpatient experience scale (GIES).
View Article and Find Full Text PDFBr J Radiol
January 2025
Department of Interventional Ultrasound Medicine, China-Japan Friendship Hospital, Beijing, China.
Objective: To evaluate the feasibility, safety, and efficacy of microwave ablation (MWA) for the treatment of patients with Bethesda IV follicular neoplasms (FNs) (≤3 cm).
Methods: In the retrospective study, patients who underwent MWA for Bethesda IV follicular neoplasms (≤3 cm) were included. Technical success, volume reduction, disease progression, and adverse event (AE) rates were analyzed postablation.
Clin Oral Investig
January 2025
Department of Biomedical and Neuromotor Sciences, Bologna University, Piazza di Porta S. Donato St 2, 40-127, Bologna, Italy.
Objectives: The purpose of this study was to propose a new difficulty score for the treatment of multiple gingival recessions (GRs) with Modified Coronally Advanced Tunnel (MCAT), and to test the score's reliability.
Material And Methods: A difficulty score was developed for the assessment and grading of 13 relevant anatomical parameters at baseline. Six experienced dental practitioners evaluated existing GRs in three patients.
Eur Radiol
January 2025
Department of Radiology, Jena University Hospital-Friedrich Schiller University, Am Klinikum 1, 07747, Jena, Germany.
Objectives: Forensic age estimation from orthopantomograms (OPGs) can be performed more quickly and accurately using convolutional neural networks (CNNs), making them an ideal extension to standard forensic age estimation methods. This study evaluates improvements in forensic age prediction for children, adolescents, and young adults by training a custom CNN from a previous study, using a larger, diverse dataset with a focus on dental growth features.
Methods: 21,814 OPGs from 13,766 individuals aged 1 to under 25 years were utilized.
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