Results 41 to 50 of about 9,191 (227)
Undifferentiated laryngeal carcinoma with hyaline bodies in a cat
Acta Veterinaria Scandinavica, 2021 Background Primary laryngeal neoplasms are rare in cats, with lymphoma and squamous cell carcinoma being the most commonly diagnosed tumour types. These tumours are usually highly aggressive, difficult to treat, and have a poor prognosis.
Filippo Torrigiani +5 more
doaj +1 more source
Solitary Extramedullary Plasmacytoma of the Apex of Arytenoid: Endoscopic, CT, and Pathologic Findings [PDF]
Clinical and Experimental Otorhinolaryngology, 2012 Extramedullary plasmacytoma (EMP) is a rare plasma cell neoplasm that occurs mainly in the soft tissues of head and neck region, with the paranasal sinuses, nasal cavity and nasopharynx being the most common sites. Solitary EMP of the larynx is very rare
Kyung Soo Kim +3 more
doaj +1 more source
Laryngeal malignant neoplasms in children and adolescents
International Journal of Pediatric Otorhinolaryngology, 1999 An exhaustive literature review of the last two decades discloses 47 laryngeal malignant neoplasms in children and adolescents. The most frequent malignant neoplasm is the embryonal variant of rhabdomyosarcoma. The timely diagnosis of a laryngeal neoplasm depends on maintaining a high index of suspicion in a patient with progressive airway obstruction,
FERLITO A, RINALDO A, MARIONI, GINO
openaire +5 more sources
Heliyon, 2023 Background: The prediction of difficult mask ventilation (DMV) and difficult intubation (DI) are key questions in anesthesia fields. DMV or DI related to pharyngeal and laryngeal diseases are a special kind of difficult airways.
Wei-Xing Li +5 more
doaj
Characteristics of Laryngeal Osteosarcoma: A Critical Review
Oncology and Therapy, 2020 Laryngeal sarcomas constitute an extremely rare entity among head and neck malignancies. Furthermore, most of them are chondrosarcomas, and the osteogenic form remains a true rarity.
Antti A. Mäkitie +4 more
doaj +1 more source
Rare Laryngeal Hamartoma: A Case Report
Acta Clinica Croatica, 2022 Hamartoma (from the Greek language, where hamartia means defect or an error and -oma denoting a tumor or neoplasm) is a benign tumor-like mass composed of mature tissue or cells that are present in abnormal proportions or show a disorganized ...
Karolina Veselski Krajinović +7 more
doaj +1 more source
Alveolar Rhabdomyosarcoma of the Laryngohypopharynx: A Case Report
Cancer Biology & Medicine, 2010 Rhabdomyosarcoma is one of the most commonly seen soft-tissuesarcomas in children and teenagers, approximately accounting forhalf of all soft-tissue sarcomas[1]. The tumor is usually found in head and neck, four limbs and urogenital system.
Da-wei LI, Jin XIE, Pin DONG
doaj +1 more source
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images [PDF]
, 2022 Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (IPMN), in pancreas is a challenging and complex task, and it may lead to a more favourable outcome. Once detected, grading IPMNs accurately is also necessary, since low-risk IPMNs can be under surveillance program, while high-risk IPMNs have to be ...
arxiv +1 more source
Performance of OpenBCI EEG Binary Intent Classification with Laryngeal Imagery [PDF]
arXiv, 2021 One of the greatest goals of neuroscience in recent decades has been to rehabilitate individuals who no longer have a functional relationship between their mind and their body. Although neuroscience has produced technologies which allow the brains of paralyzed patients to accomplish tasks such as spell words or control a motorized wheelchair, these ...
arxiv
Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data [PDF]
arXiv, 2021 Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced preprocessing technique is proposed to improve the area of interest in MRI data and a hybrid technique using Convolutional ...
arxiv