Editorial Comment: Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-021-08509-1.pdf
Reference11 articles.
1. Rui W, Qiao N, Wu Y et al (2021) Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas. Eur Radiol. https://doi.org/10.1007/s00330-021-08361-3
2. Daly AF, Beckers A (2020) The epidemiology of pituitary adenomas. Endocrinol Metab Clin North Am 49:347–355
3. Lopes MBS (2017) The 2017 World Health Organization classification of tumors of the pituitary gland: a summary. Acta Neuropathol 134:521–535
4. Jiang S, Zhu J, Feng M et al (2021) Clinical profiles of silent corticotroph adenomas compared with silent gonadotroph adenomas after adopting the 2017 WHO pituitary classification system. Pituitary 24:564–573
5. Raverot G, Wierinckx A, Jouanneau E et al (2010) Clinical, hormonal and molecular characterization of pituitary ACTH adenomas without (silent corticotroph adenomas) and with Cushing’s disease. Eur J Endocrinol 163:35–43
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1. Radiomics and machine learning for predicting the consistency of benign tumors of the central nervous system: A systematic review;European Journal of Radiology;2023-07
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