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Are there atypical sites of IgG4 related disease in head and neck region? Personal experience and literature review.

Eur Arch Otorhinolaryngol

January 2025

Department of Otolaryngology and Head and Neck Surgery, IRCSS AOU San Martino, University of Genoa, Largo Rosanna Benzi 10, 16132, Genoa, Italy.

Purpose: Immunoglobulin G4-related disease (IgG4-RD) is a complex systemic fibroinflammatory condition with different clinical manifestations affecting multiple organ systems. Despite its rarity, the disease presents diagnostic and therapeutic challenges due to its mimicry of malignancies and other immune-mediated disorders. The 2019 American College of Rheumatology/European League Against Rheumatism Classification Criteria for IgG4-Related Disease is the current state of art to confirm the diagnosis of IgG4-RD even in the absence of histological analysis.

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Background: Sarcopenia is a condition characterized by inadequate muscle and function decline and is often associated with ageing and cancer. It is established that sarcopenia and muscle loss occurred during treatment are associated with the clinical outcomes of patients with cancer. This systematic review and meta-analysis aims to evaluate the association between sarcopenia at pretreatment and during treatment and overall survival or disease progression in patients with cervical cancer.

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Clinical characteristics associated with cervical hydrated nucleus pulposus extrusion in dogs.

J Vet Intern Med

January 2025

Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.

Background: Clinical characteristics of cervical hydrated nucleus pulposus extrusion (HNPE) in dogs compared to other causes of cervical myelopathy are not well described.

Hypothesis/objectives: To evaluate for clinical characteristics and mechanical ventilation likelihood associated with HNPE compared to other causes of cervical myelopathy.

Animals: Three hundred seventy-seven client-owned dogs from 2010 to 2022.

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Background: Recent advances in artificial intelligence have facilitated the automatic diagnosis of middle ear diseases using endoscopic tympanic membrane imaging.

Aim: We aimed to develop an automated diagnostic system for middle ear diseases by applying deep learning techniques to tympanic membrane images obtained during routine clinical practice.

Material And Methods: To augment the training dataset, we explored the use of generative adversarial networks (GANs) to produce high-quality synthetic tympanic images that were subsequently added to the training data.

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: The study aimed to investigate the efficacy of medication treatment with glycyrrhizinic acid for cervical intraepithelial neoplasia (CIN) 1 lesions. : Women with histologically confirmed CIN 1 in cervical biopsies were included in the prospective study. Participants of the study group used glycyrrhizinic acid spray (Epigen spray) topically 10 days (Epigen 10-day subgroup) or 20 days (Epigen 20-day subgroup) per month for 6 months.

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