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Deep neck infection is a pathology at the border of two specialties, otorhinolaryngology and maxillofacial surgery, and represents a medico-surgical emergency. In terms of its evolution, it can extend to the level of the thorax and result in mediastinitis, with difficult evolution and poor prognosis. The aims of this scoping review are to present the etiology, bacteriology, clinical manifestations, and diagnostics, as well as treatment, in light of the research published in the last 5 years on deep neck infection associated with descending necrotizing mediastinitis. The most common primary sources of deep neck infection are odontogenic and tonsillar. The other sources that are involved in deep neck infection are salivary glands, foreign bodies, malignancies, and iatrogenic causes after endoscopic maneuvers. The bacteriologic aspect is polymorphic, including both aerobic and anaerobic species. Complications that may appear include jugular vein thrombosis, airway obstruction, acute respiratory distress syndrome, sepsis, and disseminated intravascular coagulation. Timely diagnosis is important for ensuring the positive evolution of a deep neck infection. A CT scan is important for characterizing the nature of a deep neck lesion and identifying the spaces involved, and this method represents the gold standard for diagnosis of these lesions. Following the establishment of a definitive diagnosis, antibiotic therapy is initiated empirically, and is modified according to bacteriological exam results. The administration of antibiotics is an essential part of the treatment strategy for patients with a deep neck infection. Based on CT results, different surgical methods are applied under general anesthesia. The surgical strategy involves opening and draining the cervical spaces and debriding the necrotic tissue. In the cases of odontogenic causes, drainage and extraction of the infected teeth are performed. It is especially important to follow up on the dynamic progression of the patient. In the management of a deep neck infection associated with descending necrotizing mediastinitis, a multidisciplinary team is necessary.
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http://dx.doi.org/10.3390/medicina61020325 | DOI Listing |
Acta Ortop Mex
September 2025
Servicio de Ortopedia y Traumatología, Hospital de San Rafael, Hospitales Pascual. Cádiz, España.
Introduction: anatomical deformities such as developmental dysplasia of the hip (DDH) and Perthes disease represent a challenge for reconstruction. The use of 3D-printed models can be helpful for assessing the deformity, bone mass, implant size, and orientation.
Objectives: to prospectively evaluate the outcomes of 3D simulation in primary total hip arthroplasty.
Laryngoscope
September 2025
Division of Facial Plastic and Reconstructive Surgery, Department of Otolaryngology/Head and Neck Surgery, University of North Carolina, North Carolina, USA.
The choice of a donor nerve to innervate a free gracilis muscle transfer (FMGT) is more complicated in patients with a history of previous facial paralysis surgeries. This case report describes the use of the deep temporal nerve to successfully power a FMGT in a nerve-depleted patient.
View Article and Find Full Text PDFNat Sci Sleep
September 2025
Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China.
Aim: Obstructive sleep apnea (OSA) is characterized by repetitive upper airway collapse during sleep, resulting in frequent cortical arousals. However, currently used frequency-based arousal metrics do not sufficiently capture the heterogeneity and clinical significance of arousal responses. The odds ratio product (ORP) is a novel electroencephalographic marker that provides a continuous assessment of sleep depth and has the potential to serve as an objective measure of arousal intensity.
View Article and Find Full Text PDFJ Med Imaging (Bellingham)
September 2025
Vanderbilt University, Data Science Institute, Nashville, Tennessee, United States.
Purpose: Recent developments in computational pathology have been driven by advances in vision foundation models (VFMs), particularly the Segment Anything Model (SAM). This model facilitates nuclei segmentation through two primary methods: prompt-based zero-shot segmentation and the use of cell-specific SAM models for direct segmentation. These approaches enable effective segmentation across a range of nuclei and cells.
View Article and Find Full Text PDFMach Learn Health
December 2025
Medical Artificial Intelligence and Automation Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
Online adaptive radiation therapy (ART) personalizes treatment plans by accounting for daily anatomical changes, requiring workflows distinct from conventional radiotherapy. Deep learning-based dose prediction models can enhance treatment planning efficiency by rapidly generating accuracy dose distributions, reducing manual trial-and-error and accelerating the overall workflow; however, most existing approaches overlook critical pre-treatment plan information-specifically, physician-defined clinical objectives tailored to individual patients. To address this limitation, we introduce the multi-headed U-Net (MHU-Net), a novel architecture that explicitly incorporates physician intent from pre-treatment plans to improve dose prediction accuracy in adaptive head and neck cancer treatments.
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