Papillary Thyroid Carcinoma
What's New
Last Posted: Apr 02, 2024
- A prediction model based on random survival forest analysis of the overall survival of elderly female papillary thyroid carcinoma patients: a SEER-based study.
Yuqiang Lun et al. Endocrine 2024 - The value of deep neural networks in the pathological classification of thyroid tumors.
Chengwen Deng et al. Diagn Pathol 2023 18(1) 95 - Association of polygenic score with tumor molecular subtypes in papillary thyroid carcinoma.
Jennifer R Wang et al. J Clin Endocrinol Metab 2023 - Diagnostic efficiency of existing guidelines and the AI-SONIC™ artificial intelligence for ultrasound-based risk assessment of thyroid nodules.
Linxin Yang et al. Frontiers in endocrinology 2023 141116550 - Expanding the Spectrum of BRAF Non-V600E Mutations in Thyroid Nodules: Evidence-Based Data from a Tertiary Referral Centre.
Antonio De Leo et al. International journal of molecular sciences 2023 24(4) - Thyroidectomy Outcomes in Patients Identified With RET Pathogenic Variants Through a Population Genomic Screening Program.
Pichardo Priscilla F A et al. JAMA otolaryngology-- head & neck surgery 2023 - Preoperative US Integrated Random Forest Model for Predicting Delphian Lymph Node Metastasis in Patients with Papillary Thyroid Cancer.
Zhou Chao et al. Current medical imaging 2023 - Application of deep learning as an ancillary diagnostic tool for thyroid FNA cytology.
Hirokawa Mitsuyoshi et al. Cancer cytopathology 2022 - A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma.
Stenman Sebastian et al. PloS one 2022 17(8) e0272696 - Indeterminate Thyroid Fine-Needle Aspirations in Pediatrics: Exploring the Clinicopathologic Features and Utility of Molecular Profiling.
Baran Julia A et al. Hormone research in paediatrics 2022
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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