Preoperative Metabolic Predictors of Granulation Subtypes in Somatotroph Tumors: A Multicenter Retrospective Cohort Study
The TG-UA index is a promising noninvasive biomarker for identifying the SGST subtype in somatotroph tumors. Although limited by its retrospective design and lack of long-term data, this study provides a foundation for future prospective validation.
Authors
- Ailiang Zeng (ORCID: https://orcid.org/0000-0003-2869-9899)
- L. Chen (ORCID: https://orcid.org/0000-0002-1946-6586)
- Konstantinos D. Margetis (ORCID: https://orcid.org/0000-0002-3715-8093)
- Wang Sm
- Zi Wang (ORCID: https://orcid.org/0000-0002-3953-0493)
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-4021-4228)
- Weiyu Hu
- Shitong Liu
- Shun Yao
- Farhana Akter
- Xin Wang
- Haipeng Liu
Institutions
- Sun Yat-sen University (CN)
- Guangdong Pharmaceutical University (CN)
- Harvard University Press (US)
- Systems Analytics (United States) (US)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
- Universidad Santa Paula (CR)
- First Affiliated Hospital of Guangdong Pharmaceutical University (CN)
- National Medical Association (US)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Intelligent Health (United Kingdom) (GB)
- Coventry University (GB)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/cns.70774
- Primary Topic
- Pituitary Gland Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00