Wu Xuechao, Sun Cuiping, Tian Wei, Bao Zhongyuan, Gao Hongwei, Wang Jing, Lu Xiaojie, Wang Qing
Department of Neurosurgery, Wuxi No.2 People's Hospital, Jiangnan University Medical Center, Wuxi, China.
Wuxi Neurosurgical Institute, Wuxi, China.
BMC Surg. 2025 Jul 3;25(1):254. doi: 10.1186/s12893-025-03001-9.
Suprasellar pituitary neuroendocrine tumors (PitNETs) present surgical challenges due to their strong adherence to vital neurovascular structures, significantly affecting surgical strategies and outcomes. This study proposed a new classification for suprasellar PitNETs based on their relationship with the optic chiasm.
We retrospectively reviewed 82 patients who underwent endoscopic endonasal approaches (EEAs) for suprasellar PitNETs between January 2018 and December 2021. Suprasellar PitNETs were classified into four types based on the relationship between the tumor and the optic chiasm: type I (prechiasmatic type), type II (infrachiasmatic type), type III (retrochiasmatic type), and type IV (mixed type). We assessed detailed operative techniques and outcomes across different suprasellar PitNETs types.
The overall gross total resection (GTR) rate for suprasellar PitNETs was 87.8%. GTR rates varied among different types of suprasellar PitNETs, with type IV exhibiting the lowest rate. Approximately 85.5% of patients with preoperative visual disturbances reported improvement after surgery, with type II suprasellar PitNETs showing the highest improvement rate and type IV suprasellar PitNETs showing the lowest. Cerebrospinal fluid (CSF) leakage occurred in 4 (4.9%) patients and was successfully treated using lumbar drainage or surgical repair. Meningitis was observed in 5 (6.1%) cases, with one fatality occurring in a patient with type I suprasellar PitNET.
The classification of suprasellar PitNETs into four types based on their relationship with the optic chiasm enhances our understanding of tumor growth patterns and aids in preoperative assessment. Consequently, determining individualized surgical strategies using EEAs for suprasellar PitNETs can lead to higher resection rates and better visual outcomes.
鞍上垂体神经内分泌肿瘤(PitNETs)因与重要神经血管结构紧密粘连而给手术带来挑战,这显著影响手术策略和结果。本研究基于鞍上PitNETs与视交叉的关系提出了一种新的分类方法。
我们回顾性分析了2018年1月至2021年12月期间接受内镜鼻内入路(EEAs)治疗鞍上PitNETs的82例患者。根据肿瘤与视交叉的关系,将鞍上PitNETs分为四种类型:I型(视交叉前型)、II型(视交叉下型)、III型(视交叉后型)和IV型(混合型)。我们评估了不同类型鞍上PitNETs的详细手术技术和结果。
鞍上PitNETs的总体全切除率(GTR)为87.8%。不同类型的鞍上PitNETs的GTR率有所不同,IV型的GTR率最低。术前有视觉障碍的患者中,约85.5%术后报告症状改善,其中II型鞍上PitNETs的改善率最高,IV型鞍上PitNETs的改善率最低。4例(4.9%)患者发生脑脊液漏,通过腰大池引流或手术修复成功治疗。5例(6.1%)患者发生脑膜炎,1例I型鞍上PitNETs患者死亡。
基于与视交叉的关系将鞍上PitNETs分为四种类型,有助于我们了解肿瘤生长模式并有助于术前评估。因此,使用EEAs为鞍上PitNETs确定个体化手术策略可提高切除率并改善视觉效果。