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- Title
Operative treatment of cystic prolactinomas: a retrospective study.
- Authors
Su, Weijie; He, Kejun; Yang, Yibing; Xu, Jiakun; Li, Xixi; Tang, Hongxing; Yang, Jia; Yang, Lixuan
- Abstract
Background: The optimal therapeutic approach for cystic prolactinomas remains unclear. This study aimed to evaluate the remission rates of prolactinoma patients after surgical treatment and the risk factors affecting postoperative remission in cystic prolactinoma patients. Methods: The clinical data were retrospectively compiled from 141 patients with prolactinomas (including 41 cases of cystic prolactinomas, 21 cases of solid microprolactinomas and 79 cases of solid macroprolactinomas) who underwent transsphenoidal surgery (TSS) between April 2013 and October 2021 at the First Affiliated Hospital of Sun Yat-sen University. Results: Early postoperative remission was achieved in 65.83% (n = 27/41) of cystic prolactinomas, 80.95% (n = 17/21) of solid microprolactinomas and 40.51% (n = 32/79) of solid macroprolactinomas. The mean length of follow up in all patients was 43.95 ± 2.33 months (range: 6-105 months). The follow-up remission rates were 58.54%, 71.43% and 44.30% in cystic, solid micro- and solid macroprolactinomas, respectively. For cystic prolactinomas, the early postoperative remission rates in the patients with preoperative dopamine agonists (DA) treatment were significantly higher than those without preoperative DA treatment (p = 0.033), but the difference in the follow-up remission rates between these two groups was not significant (p = 0.209). Multivariate stepwise logistic regression analysis indicated that tumor size and preoperative prolactin (PRL) levels < 200 ng/ml were independent predictors for early postoperative remission in cystic prolactinomas. Conclusion: For cystic prolactinomas, tumor size and preoperative PRL levels were independent predictors of early postoperative remission. Preoperative DA therapy combined with TSS may be more beneficial to cystic prolactinoma patients.
- Subjects
DOPAMINE agonists; PROLACTINOMA; MULTIVARIATE analysis; SURGICAL complications; RETROSPECTIVE studies; PROLACTIN; SPONTANEOUS cancer regression; PITUITARY tumors; RESEARCH funding; DESCRIPTIVE statistics; LOGISTIC regression analysis; DATA analysis software
- Publication
BMC Endocrine Disorders, 2023, Vol 23, Issue 1, p1
- ISSN
1472-6823
- Publication type
Article
- DOI
10.1186/s12902-023-01343-0