Infections of Deep Neck Spaces.

Semin Ultrasound CT MR

UMMS-Baystate Radiology, Springfield, MA.

Published: February 2020

AI Article Synopsis

Article Abstract

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.

Download full-text PDF

Source
http://dx.doi.org/10.1053/j.sult.2019.10.001DOI Listing

Publication Analysis

Top Keywords

deep neck
16
infections deep
8
neck spaces
8
neck infections
8
neck
5
infections
4
spaces identifying
4
identifying infections
4
spaces understanding
4
understanding spread
4

Similar Publications

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 PDF

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 PDF

Neoplasms in the Nasal Cavity Identified and Tracked with an Artificial Intelligence-Assisted Nasal Endoscopic Diagnostic System.

Bioengineering (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.

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

Transtemporal Endoscopic Deep Plane Face Lift.

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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!