Identifying infections of the deep neck spaces and understanding how they spread can be a diagnostic challenge that is complicated by complex anatomy and far-reaching clinical implications. Deep neck infections have the potential to quickly spread throughout the neck and chest, leading to widespread disease that can be rapidly fatal and resistant to treatment. This article provides a foundation for evaluating deep neck infections through a review of essential anatomy and a discussion of important diseases that interact with these spaces.
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http://dx.doi.org/10.1053/j.sult.2019.10.001 | DOI Listing |
Biomimetics (Basel)
January 2025
China Waterborne Transport Research Institute, Beijing 100088, China.
The identification and detection of microalgae are essential for the development and utilization of microalgae resources. Traditional methods for microalgae identification and detection have many limitations. Herein, a Feature-Enhanced YOLOv7 (FE-YOLO) model for microalgae cell identification and detection is proposed.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA 94115, USA.
In exploring adjuvant therapies for head and neck cancer, hyperthermia (40-45 °C) has shown efficacy in enhancing chemotherapy and radiation, as well as the delivery of liposomal drugs. Current hyperthermia treatments, however, struggle to reach large deep tumors uniformly and non-invasively. This study investigates the feasibility of delivering targeted uniform hyperthermia deep into the tissue using a non-invasive ultrasound spherical random phased array transducer.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Department of Otolaryngology and Neck Surgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Objective: We aim to construct an artificial intelligence (AI)-assisted nasal endoscopy diagnostic system capable of preliminary differentiation and identification of nasal neoplasia properties, as well as intraoperative tracking, providing an important basis for nasal endoscopic surgery.
Methods: We retrospectively analyzed 1050 video data of nasal endoscopic surgeries involving four types of nasal neoplasms. Using Deep Snake, U-Net, and Att-Res2-UNet, we developed a nasal neoplastic detection network based on endoscopic images.
Int J Burns Trauma
December 2024
Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Southwest Medical University Luzhou, Sichuan, China.
Purpose: To evaluate the identification of nasal bone fractures and their clinical diagnostic significance for three-dimensional (3D) reconstruction of maxillofacial computed tomography (CT) images by applying artificial intelligence (AI) with deep learning (DL).
Methods: CT maxillofacial 3D reconstruction images of 39 patients with normal nasal bone and 43 patients with nasal bone fracture were retrospectively analysed, and a total of 247 images were obtained in three directions: the orthostatic, left lateral and right lateral positions. The CT scan images of all patients were reviewed by two senior specialists to confirm the presence or absence of nasal fractures.
Plast Reconstr Surg Glob Open
January 2025
Plastic, Reconstructive and Aesthetic Surgery Department, Yeditepe University Hospital, Istanbul, Turkey.
Background: Facial aging involves multifactorial changes affecting the bone, superficial musculoaponeurotic system, fat pads, and skin, primarily manifesting as the downward displacement of these structures. The transtemporal endoscopic deep plane face lift (TEDPF) suggests a vertical lifting method, targeting these issues without a preauricular incision.
Methods: A retrospective study was conducted on 140 patients (133 women and 7 men) 33-67 years of age who underwent TEDPF from February 2020 to March 2023.
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