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A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study.
Front Neurol
January 2025
Department of Radiology, The First People's Hospital of Lianyungang, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, China.
Objective: To develop a deep learning (DL) model for carotid plaque detection based on CTA images and evaluate the clinical application feasibility and value of the model.
Methods: We retrospectively collected data from patients with carotid atherosclerotic plaques who underwent continuous CTA examinations of the head and neck at a tertiary hospital from October 2020 to October 2022. The model combined ResUNet with the Pyramid Scene Parsing Network (PSPNet) to enhance plaque segmentation.
Anatomic variations in origin and coursing of the transverse cervical artery: morphogenesis and relation to the high arch-shaped subclavian artery.
Anat Sci Int
January 2025
Department of Anatomy, The Nippon Dental University School of Life Dentistry at Niigata, Niigata, Japan.
This case report presents an atypical transverse cervical artery with its detailed anatomy, morphogenesis, and association with the high arch-shaped subclavian artery. The atypical arteries, related arteries, and adjacent cervical and brachial plexuses were macroscopically examined in a 98-year-old Japanese female cadaver donated to The Nippon Dental University for medical education and research. The atypical deep branch of the transverse cervical artery originated from the internal thoracic artery and passed through between the C5 and C6 roots, in close contact with the C5 and C6 junction, to reach the dorsal side of the brachial plexus.
View Article and Find Full Text PDFDeep learning-based Monte Carlo dose prediction for heavy-ion online adaptive radiotherapy and fast quality assurance: A feasibility study.
Med Phys
January 2025
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.
Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.
Neural-WDRC: A Deep Learning Wide Dynamic Range Compression Method Combined With Controllable Noise Reduction for Hearing Aids.
Trends Hear
January 2025
Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China.
Wide dynamic range compression (WDRC) and noise reduction both play important roles in hearing aids. WDRC provides level-dependent amplification so that the level of sound produced by the hearing aid falls between the hearing threshold and the highest comfortable level of the listener, while noise reduction reduces ambient noise with the goal of improving intelligibility and listening comfort and reducing effort. In most current hearing aids, noise reduction and WDRC are implemented sequentially, but this may lead to distortion of the amplitude modulation patterns of both the speech and the noise.
View Article and Find Full Text PDFSurgical Approaches to Pre-Auricular Cutaneous Squamous Cell Carcinomas Extending to the Temporal Bone.
Head Neck
January 2025
Department of Otolaryngology, Head and Neck Surgery, Princess Alexandra Hospital, Queensland Skull Base Unit, Brisbane, Queensland, Australia.
Background: Standardized surgical approaches to advanced pre-auricular cutaneous squamous cell carcinomas (cSCC) are lacking.
Methods: Fifty-four patients who underwent lateral temporal bone resection (LTBR) for pre-auricular cSCC were grouped into "Levels" of increasing disease spread. Surgical approaches to achieve negative-margin resection were designed for each Level and replicated on cadaveric specimens.
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