We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Prolonged preoperative treatment of acromegaly with Somatostatin analogs may improve surgical outcome in patients with invasive pituitary macroadenoma (Knosp grades 1-3): a retrospective cohort study conducted at a single center.
- Authors
Duan, Lian; Zhu, Huijuan; Xing, Bing; Gu, Feng
- Abstract
Background: This study aimed to investigate preoperative somatostatin analogs (SSAs) treatment on the surgical outcome in patients with acromegaly. Methods: An analysis of 358 patients with acromegaly was conducted. The preoperative medical therapy group (81 patients) received SSA treatment for at least 3 months prior to surgery, while the primary surgery group (277 patients) underwent transsphenoidal surgery directly. Follow-up duration was ≥3 months. Tumor invasion was evaluated by magnetic resonance imaging (MRI) and classified according to the Knosp grading system. Results: Most patients were diagnosed with macroadenoma. Among all patients (Knosp grades 0-4), preoperative SSA therapy did not significantly improve the curative effect of surgery, according to the levels of growth hormone (GH) and/or insulin-like growth factor 1 (IGF-1) markers. In patients with macroadenoma (Knosp grades 1-3), the remission rates were significantly higher in the SSA group compared to the surgery group when considering GH (56.4% vs. 37.3%, P = 0.048) and IGF-1 (43.2% vs. 17.6%, P = 0.004). In the preoperative medical therapy group, long-term use of SSAs (>6 months) led to higher remission rates (GH, 72.2% vs. 51.0%; and IGF-1, 61.1% vs. 29.8%; P = 0.12 and 0.02, respectively]. Conclusions: The long-term preoperative SSAs treatment may improve the surgical curative rate in acromegalic patients with invasive macroadenomas (Knosp grades 1-3).
- Subjects
ACROMEGALY; SPONTANEOUS cancer regression; LONGITUDINAL method; MAGNETIC resonance imaging; METASTASIS; PITUITARY tumors; PREOPERATIVE care; RESEARCH funding; SOMATOSTATIN; SPHENOID sinus; RETROSPECTIVE studies; DATA analysis software; DESCRIPTIVE statistics
- Publication
BMC Endocrine Disorders, 2017, Vol 17, Issue 1, p1
- ISSN
1472-6823
- Publication type
Article
- DOI
10.1186/s12902-017-0205-3