A machine learning-based diagnosis modeling of IgG4 Hashimoto’s thyroiditis-Reference-Cited by-同舟云学术

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A machine learning-based diagnosis modeling of IgG4 Hashimoto’s thyroiditis

Published:2024-05-29 Issue: Volume: Page:
ISSN:1559-0100
Container-title:Endocrine
language:en
Short-container-title:Endocrine

Author:

Zhao Chenxu,Sun Zhiming,Yu Yang,Lou Yiwei,Liu Liyuan,Li Ge,Liu Jumei,Chen Lei,Zhu Sainan,Huang Yu,Zhang Yang,Gao Ying

Funder

Capital’s Funds for Health Improvement and Research

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12020-024-03889-y.pdf

Reference23 articles.

1. M. Ralli, D. Angeletti, M. Fiore et al. Hashimoto’s thyroiditis: An update on pathogenic mechanisms, diagnostic protocols, therapeutic strategies, and potential malignant transformation. Autoimmun. Rev. 19(10), 102649 (2020)

2. Y.Q. Li, Y.H. Bai, Z.Y. Liu et al. Immunohistochemistry of IgG4 can help subclassify Hashimoto’s autoimmune thyroiditis. Pathol. Int. 59(9), 636–641 (2009)

3. Y. Li, X. Wang, Z. Liu et al. Hashimoto’s thyroiditis with increased IgG4-positive plasma cells: Using thyroid-specific diagnostic criteria may identify early phase IgG4 thyroiditis. Thyroid 30(2), 251–261 (2020)

4. S.H. Adams, L. Gitto, S. Serinelli et al. Review of IgG4-related hashimoto thyroiditis with best practice recommendations for diagnosis and reporting. Adv. Anat. Pathol. 29(2), 97–107 (2022)

5. Y. Yu, J. Zhang, G.Z. Lu et al. Clinical relationship between IgG4-positive hashimoto’s thyroiditis and papillary thyroid carcinoma. J. Clin. Endocr. Metab. 101(4), 1516–1524 (2016)

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