Background: The purpose of this study was to investigate the role of the Bethesda System for Reporting Thyroid Cytopathology (BSRTC) as a prognostic marker in conventional papillary thyroid carcinoma (PTC).
Methods: A total of 397 patients who underwent ultrasound-guided fine-needle aspiration biopsy (FNAB) and surgery for conventional PTCs were enrolled. The association between the Bethesda category and histopathologic result was evaluated.
Results: Among the Bethesda categories, a significant difference was found in the presence of extrathyroidal extension (Bethesda category III, 3.2% [7 of 220]; category V, 19.1% [42 of 220]; and category VI, 77.7% [171 of 220]; p < .001) and lymph node metastasis (Bethesda category III, 3.8% [6 of 156]; category V, 16.7% [26 of 156]; and category VI, 79.5% [124 of 156]; p < .001). Multivariate analysis showed that the Bethesda category was independently predictive of extrathyroidal extension (p = .013) and lymph node metastasis (p = .035).
Conclusion: Conventional PTC with a higher Bethesda category at the time of cytology diagnosis would be poor prognosis. © 2016 Wiley Periodicals, Inc. Head Neck 38: First-1514, 2016.
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http://dx.doi.org/10.1002/hed.24466 | DOI Listing |
Eur J Hum Genet
January 2025
Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Artificial intelligence (AI) has been growing more powerful and accessible, and will increasingly impact many areas, including virtually all aspects of medicine and biomedical research. This review focuses on previous, current, and especially emerging applications of AI in clinical genetics. Topics covered include a brief explanation of different general categories of AI, including machine learning, deep learning, and generative AI.
View Article and Find Full Text PDFEndocrinol Metab (Seoul)
January 2025
Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Background: This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules.
Methods: This retrospective analysis included ultrasound images of patients with thyroid nodules investigated by fine-needle aspiration at the thyroid clinic of a single center from April 2010 to September 2012. Thyroid nodules with cytopathologic results of Bethesda category V (suspicious for malignancy) or VI (malignant) were defined as thyroid cancer.
J Pediatr Surg
December 2024
Division of Pediatric Surgery, Hospital Italiano de Buenos Aires, Argentina.
Introduction: Thyroid nodules are infrequent findings in children, though malignancy rates are higher in this population. The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) standardizes the reporting of thyroid fine needle aspiration (FNA) specimens and has become a global reference for assessing the risk of malignancy (ROM) of thyroid nodules. The 2023 update includes pediatric-specific risk predictions and management recommendations.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Section on Perception, Cognition, Action, Laboratory of Sensorimotor Research, National Eye Institute, NIH, Bethesda, MD 20892.
To what extent does concept formation require language? Here, we exploit color to address this question and ask whether macaque monkeys have color concepts evident as categories. Macaques have similar cone photoreceptors and central visual circuits to humans, yet they lack language. Whether Old World monkeys such as macaques have consensus color categories is unresolved, but if they do, then language cannot be required.
View Article and Find Full Text PDFDrug Alcohol Depend
January 2025
Neuropsychoimaging of Addictions and Related Conditions (NARC), Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Question: The opioid epidemic causes massive morbidity, and males have substantially greater overdose mortality rates than females. It is unclear whether there are sex-related disparities at different stages in the trajectory of opioid use disorders (OUD), from large samples in the community.
Goal: To determine sex disparities in non-medical opioid use (NMOU) at the end of treatment with medications for opioid use disorder (MOUD), using national data.
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