Machine learning in predicting early remission in patients after surgical treatment of acromegaly: a multicenter study-Reference-Cited by-同舟云学术

Machine learning in predicting early remission in patients after surgical treatment of acromegaly: a multicenter study

Published:2020-10-06 Issue:1 Volume:24 Page:53-61
ISSN:1386-341X
Container-title:Pituitary
language:en
Short-container-title:Pituitary

Author:

Qiao Nidan^ORCID,Shen Ming,He Wenqiang,He Min,Zhang Zhaoyun,Ye Hongying,Li Yiming,Shou Xuefei,Li Shiqi,Jiang Changzhen,Wang Yongfei,Zhao Yao

Funder

Shanghai Committee of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism

Link

https://link.springer.com/content/pdf/10.1007/s11102-020-01086-4.pdf

Reference21 articles.

1. Babu H, Ortega A, Nuño M, Dehghan A, Schweitzer A, Bonert HV et al (2017) Long-term endocrine outcomes following endoscopic endonasal transsphenoidal surgery for acromegaly and associated prognostic factors. Neurosurgery 81:357–366

2. Anik I, Cabuk B, Gokbel A, Selek A, Cetinarslan B, Anik Y et al (2017) Endoscopic transsphenoidal approach for acromegaly with remission rates in 401 patients: 2010 consensus criteria. World Neurosurg 108:278–290

3. Shimon I, Cohen ZR, Ram Z, Hadani M (2001) Transsphenoidal surgery for acromegaly: endocrinological follow-up of 98 patients. Neurosurgery 48:1239–43

4. Sun H, Brzana J, Yedinak CG, Gultekin SH, Delashaw JB, Fleseriu M (2014) Factors associated with biochemical remission after microscopic transsphenoidal surgery for acromegaly. J Neurol Surg B Skull Base. 75(1):47–52

5. Zhang S, Li Y, Guo X, Gao L, Lian W, Yao Y et al (2018) Body mass index and insulin-like growth factor 1 as risk factors for discordant growth hormone and insulin-like growth factor 1 levels following pituitary surgery in acromegaly. J Formos Med Assoc. 117(1):34–41

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