Background: Para and Retropharyngeal abscesses are deep neck infections of early childhood that can be complicated by serious sequelae such as airway obstruction, cervical necrotizing fasciitis, mediastinitis, aspiration pneumonia, jugular thrombosis or aneurysm of the carotid artery. Traditionally, these infections were diagnosed with computed tomography (CT) of the neck, which exposes sensitive structures to radiation and may require sedation.
Case Report: We present a case series of four children diagnosed using point of care ultrasound (POCUS) with para or retropharyngeal abscess later confirmed on CT. All four had alternative working diagnoses on pediatric emergency physician or otolaryngology physical examination prior to investigation with POCUS. We also describe a novel imaging approach that allows for easier identification of deep neck anatomic landmarks. WHY SHOULD AN EMERGENCY PHYSICIAN BE AWARE OF THIS?': Pediatric emergency physicians should be skilled in imaging the deep neck spaces in order to avoid delayed diagnosis of deep neck space abscess and its potentially catastrophic sequelae.
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http://dx.doi.org/10.1016/j.jemermed.2024.10.004 | DOI Listing |
Background: Neuroendocrine carcinomas (NECs) are rare tumors from hormone-secreting neuroendocrine cells, often within the gastrointestinal tract. The authors report what is, to their best knowledge, the first case of a small intestine NEC metastasizing to the temporomandibular joint (TMJ).
Case Description: A 60-year-old man came to the oral medicine, oncology, and orofacial pain clinic with a chief concern of left-sided jaw pain.
Indian J Otolaryngol Head Neck Surg
February 2025
Department of Electrical Engineering, Perception and Intelligence Lab, Indian Institute of Technology Kanpur, Kanpur, India.
In India, laryngeal cancer is a significant health concern, underlining the critical need for early detection methods. This study introduces a novel approach to classify laryngeal lesions into nine morphological categories; due to data scarcity for all the nine classes, the data is divided into cancer and non-cancer classes, including both non-cancerous and Squamous Cell Carcinoma (SCC), by analysing endoscopy images with advanced convolutional neural networks, deep learning, and image processing techniques. A dataset of 1978 endoscopy images from 960 patients at a tertiary care center in Lucknow, between May 2015 and December 2023, was utilised for this purpose.
View Article and Find Full Text PDFIndian J Otolaryngol Head Neck Surg
February 2025
Department of Otolaryngology, Dr RKGMC, Hamirpur, H.P India.
Tuberculosis is a common disease in India but even then Primary tuberculosis of Thyroid gland is an extremely rare clinical scenario. Diagnosis of this rare disease requires very high level of clinical suspicion as the clinical features have no distinct characteristics and usually mimic with bacterial thyroiditis, thyrotoxicosis, thyroid carcinoma, lymphoma etc. Historically most of patients were diagnosed through histopathology in post operative thyroidectomy specimens.
View Article and Find Full Text PDFAm J Rhinol Allergy
March 2025
Department of Otolaryngology - Head and Neck Surgery, University of Washington, Seattle, WA, USA.
BackgroundThe diagnosis of chronic rhinosinusitis (CRS) relies upon patient-reported symptoms and objective nasal endoscopy and/or computed tomography (CT) findings. Many patients, at the time of evaluation by an otolaryngologist or rhinologist, lack objective findings confirming CRS and do not have this disease.ObjectiveWe hypothesized that a machine learning model (MLM) could predict probable CRS using patient-reported data acquired prior to rhinologist-directed treatment.
View Article and Find Full Text PDFBMC Plant Biol
March 2025
Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, 262700, China.
In the context of intelligent agriculture, tomato cultivation involves complex environments, where leaf occlusion and small disease areas significantly impede the performance of tomato leaf disease detection models. To address these challenges, this study proposes an efficient Tomato Disease Detection Network (E-TomatoDet), which enhances tomato leaf disease detection effectiveness by integrating and amplifying global and local feature perception capabilities. First, CSWinTransformer (CSWinT) is integrated into the backbone of the detection network, substantially improving tomato leaf diseases' global feature-capturing capacity.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!