Classification of unilateral thalamic gliomas predicts tumor resection and patient's survival: a single center retrospective study

医学 回顾性队列研究 病态的 脑积水 单变量分析 胶质瘤 多元分析 存活率 内科学 肿瘤科 外科 癌症研究
作者
Tianshi Que,Zhiyong Li,Haojie Zheng,Jian-er Tan,Xi Yuan,Guozhong Yi,Luxiong Fang,Jing Nie,Yanyi Yin,Haiyan Xu,Xiaoxuan Zheng,Junlu Liu,Xian Zhang,Songtao Qi,Guanglong Huang
出处
期刊:Journal of Neurosurgical Sciences [Edizioni Minerva Medica]
被引量:4
标识
DOI:10.23736/s0390-5616.22.05660-0
摘要

BACKGROUND: To propose our classification about unilateral thalamic gliomas, and to describe relationship between the classification and clinical characteristics including symptoms, surgical approaches and survival, which should contribute to the treatment and the prognostic prediction of unilateral thalamic gliomas.METHODS: A total of 66 adult unilateral thalamic glioma patients with pathologic confirmation between January 2010 and December 2018 were retrospectively investigated.RESULTS: Unilateral thalamic gliomas could be divided into quadrigeminal cistern and ventricle extension type (Type Q), lateral type (Type L) and anterior type (Type A) according to tumor location, extensive polarity and location of ipsilateral posterior limb of internal capsule. Each subtype of QLA classification could match with one kind of corresponding approach. Preoperative symptoms including headache, dyskinesia, aphasia, hydrocephalus and KPS scores, and pathological features including H3K27M mutation and P53 expression were correlated with QLA classification. Further analysis confirmed that Type Q tumors had a higher rate of total resection and a significantly longer survival time compared to Type L and Type A tumors, with similar improved and deteriorated rates of symptoms. Univariate and multivariate analysis demonstrated QLA classification was remarkedly associated with overall survival and could be considered as an independent prognostic factor in patients with unilateral thalamic gliomas.CONCLUSIONS: Unilateral thalamic glioma could be divided into 3 subtypes by imaging characteristics, symptoms and survival. QLA classification could predict tumor resection and the prognosis and could contribute to the planning of therapeutic strategy in patients with unilateral thalamic gliomas.
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