Introduction: Thyroid nodules are a common disorder of the thyroid. Most of these are benign and only 5%-30% are malignant. Fine-needle aspiration cytology (FNAC) plays a vital role in differentiating benign from malignant and hence directing toward timely intervention. Liquid-based cytology (LBC) has been recently started in sampling thyroid lesions and has shown good results. The aim of our study was to compare the cytomorphology of thyroid lesions by conventional smear (CS) and LBC method and categorize the lesions according to TBSRTC (The Bethesda System for Reporting Thyroid Cytopathology).
Materials And Methods: A prospective study was conducted from January 2018 to June 2019 on 131 patients. Thyroid FNAC samples were taken to prepare 2-5 slides for conventional reporting and one sample for LBC preparation by SurePath method. Staining with hematoxylin and eosin, May-Grünwald-Giemsa, and Papanicolaou stain was done. Cases were reported by TBSRTC and compared.
Results: The nonneoplastic lesions constituted the major proportion on both CS (83.2%) and LBC (73.2%). The neoplastic lesions constituted only 9.9% of all the diagnosis both on CS and LBC smear. The kappa agreement between CS and LBC cytology as per The Bethesda System for Reporting Thyroid Cytopathology came out to be 0.715, which was statistically significant.
Discussion: Colloid appearance was statistically significant on comparison by both methods. The comparison of ill formed epithelioid granulomas was statistically significant in autoimmune thyroiditis cases. In malignancy cases, nuclear and cytoplasmic details were crisper on CS. Cytoplasm appeared fragile and fragmented on LBC smears.
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http://dx.doi.org/10.4103/jcrt.jcrt_1933_21 | DOI Listing |
Mil Med
January 2025
Department of Anesthesiology, Brooke Army Medical Center, Fort Sam Houston, TX 78234, USA.
Introduction: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become increasingly prevalent and have the potential to delay gastric emptying. The American Society of Anesthesiologists (ASA) released guidance regarding the perioperative management of patients receiving GLP-1 RAs, but it is unclear the extent to which hospitals in the U.S.
View Article and Find Full Text PDFMil Med
January 2025
Graduate School of Nursing, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
Introduction: The storage of reusable medical devices (RMDs) is the final reprocessing phase and the step that directly precedes point-of-care delivery. Reusable medical devices, including surgical tools necessitating sterilization and semicritical devices such as endoscopes, undergo high-level disinfection. The rigorous reprocessing protocols and subsequent storage of RMDs are crucial in preserving their sterility and asepsis.
View Article and Find Full Text PDFJ Neuropathol Exp Neurol
January 2025
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
In modern war theaters, exposures to blast overpressures are one of the most common causes of brain injury. These pervasive events result in acute and chronic cerebrovascular degenerative processes. Using a rat model of blast-induced mild traumatic brain injury, we identified intramural periarterial hematomas as early primary acute lesions induced by blast exposures.
View Article and Find Full Text PDFIntroduction: The aim of this study was to define the relationships between factors other than transferrin saturation (TS) to mean corpuscular volume (MCV) and macrocytosis (MCV > 100 fL) in p.C282Y (rs1800562) homozygotes.
Methods: We studied white post-screening participants with p.
J Am Med Inform Assoc
January 2025
Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States.
Objective: To develop a distributed algorithm to fit multi-center Cox regression models with time-varying coefficients to facilitate privacy-preserving data integration across multiple health systems.
Materials And Methods: The Cox model with time-varying coefficients relaxes the proportional hazards assumption of the usual Cox model and is particularly useful to model time-to-event outcomes. We proposed a One-shot Distributed Algorithm to fit multi-center Cox regression models with Time varying coefficients (ODACT).
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