Zhou Wen-Tao, Niu Jia-Hao, Liao Chihyi, Ren Si-Kang, Ou Yun-Wei, Liu Wei, Li Chun-De, Gong Jian, Tian Yong-Ji
Neurosurgical Centre, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Department of Neural Reconstruction, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
J Neurooncol. 2024 Nov;170(2):363-375. doi: 10.1007/s11060-024-04802-3. Epub 2024 Aug 21.
The surgical treatment of optic pathway gliomas (OPG) remains controversial, with visual outcomes often unpredictable. The present study explored surgical and clinical factors influencing visual acuity (VA) after OPG treatment and developed anatomical subtypes correlated with clinical symptoms.
Children with OPG who underwent initial partial tumor resection at Beijing Tiantan Hospital from January 2011 to December 2022 were retrospectively analyzed. Multivariate logistic regression and random forest analyses were performed to identify risk factors for post-treatment VA deterioration and a decision tree model was created based on significant factors.
A total of 140 patients were enrolled. Multivariate logistic regression analysis identified surgical approach and initial VA as independent predictors of post-treatment VA deterioration (P < 0.05). Surgical approach, initial VA, and extent of tumor resection were the most significant factors for risk assessment and were included in the decision tree model, with surgical approach as the most important "root" node. The model demonstrated good predictive performance, with area under the curve values of 0.75 and 0.66 for the training and test datasets, respectively. A simple anatomical classification was developed, which revealed clinical characteristic differences among OPG types. Meanwhile, a correlation analysis of post-treatment visual deterioration was performed for each of the three anatomical types.
This study offers a predictive model for visual outcomes following initial tumor-reduction surgery in OPG patients, which may help in visual outcomes risk stratification. Additionally, the anatomical classification effectively indicates OPG growth direction, offering potential insights into clinical symptoms.
视路胶质瘤(OPG)的外科治疗仍存在争议,视觉预后往往不可预测。本研究探讨了影响OPG治疗后视力(VA)的手术和临床因素,并建立了与临床症状相关的解剖学亚型。
回顾性分析2011年1月至2022年12月在北京天坛医院接受初次部分肿瘤切除的OPG患儿。进行多因素逻辑回归和随机森林分析,以确定治疗后视力恶化的危险因素,并基于显著因素创建决策树模型。
共纳入140例患者。多因素逻辑回归分析确定手术方式和初始视力是治疗后视力恶化的独立预测因素(P < 0.05)。手术方式、初始视力和肿瘤切除范围是风险评估的最重要因素,并被纳入决策树模型,其中手术方式是最重要的“根”节点。该模型具有良好的预测性能,训练数据集和测试数据集的曲线下面积值分别为0.75和0.66。建立了一种简单的解剖学分类方法,揭示了不同类型OPG的临床特征差异。同时,对三种解剖学类型分别进行了治疗后视力恶化的相关性分析。
本研究为OPG患者初次肿瘤减容手术后的视觉预后提供了一个预测模型,有助于对视觉预后进行风险分层。此外,解剖学分类有效地表明了OPG的生长方向,为临床症状提供了潜在的见解。