Publications by authors named "S A Amin"

Objective: Salivary gland neoplasms are rare in pediatric and adolescent populations. Mucoepidermoid carcinoma (MEC) is the most common malignant neoplasm of the salivary glands that most frequently arises in the parotid gland as a painless swelling. Herein we present a rare case of MEC in a child with metastasis to the cervical lymph node as primary presentation.

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Introduction: Limited access to resources and stereotypes about orthopaedic surgeons may contribute to the low percentage of women and people of underrepresented in medicine (URiM) backgrounds in orthopaedic surgery. Several organizations have created resources to address these barriers, but medical students are unlikely to be exposed to the initiatives through traditional curricula. The purpose of this study was to (1) evaluate the ability of a 1-day virtual Diversity, Equity, Inclusion, and Accessibility (DEIA) summit to effectively reach URiM medical students, (2) increase medical students' knowledge of DEIA resources, and (3) augment the perception of diverse backgrounds in orthopaedic surgery.

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This article is a celebration of the life and work of Carl J. Carrano who, from a childhood in Long Island, New York, built a career in bioinorganic chemistry, especially in the context of metal uptake and halogen metabolism in microbes and marine organisms.

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Background: We aimed to compare the perioperative analgesic efficacy of intravenous ibuprofen versus ketorolac in patients with obesity undergoing bariatric surgery.

Methods: This randomized controlled trial included adult patients with obesity undergoing bariatric surgery. Participants were randomized to receive either ibuprofen or ketorolac intravenously every 8 h.

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Background: The potential for coronary artery compression (CC) during transcatheter pulmonary valve replacement (TPVR) using self-expanding valves (SEV) is not fully understood, yet anecdotal reports suggest that this risk exists.

Aims And Methods: We performed a retrospective cohort study of patients evaluated for SEV-TPVR to evaluate the relationship between the right ventricular outflow tract (RVOT) and coronary arteries (CA). CT-derived segmentations of the RVOT and CA were created using machine learning.

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