A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging

作     者：Wang Zilan Liang Xiaolong Yang Yanbo Gao Bixi Wang Ling You Wanchun Chen Zhouqing Wang Zhong Wang Zilan;Liang Xiaolong;Yang Yanbo;Gao Bixi;Wang Ling;You Wanchun;Chen Zhouqing;Wang Zhong

作者机构：Department of Neurosurgery The First Affiliated Hospital of Soochow University 188 Shizi Street Suzhou 215006 Jiangsu Province China Department of Orthopedics Department of Radiology Suzhou Hospital of Traditional Chinese Medicine 

出 版 物：《中华神经外科杂志(英文)》 (Chinese Neurosurgical Journal)

年 卷 期：2021年第07卷第1期

页      面：43-52页

核心收录：

学科分类：1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 100214[医学-肿瘤学] 1009[医学-特种医学] 10[医学] 

基　　金：This work was supported by the Suzhou Health Talents Training Project(GSWS2019002) 

主　　题：Brain tumor Sphenoid wing meningioma Scoring system Fusion imaging 3D reconstruction 

摘      要：Background: Three-dimensional (3D) fusion imaging has been proved to be a promising neurosurgical tool for presurgical evaluation of tumor removal. We aim to develop a scoring system based on this new tool to predict the resection grade of medial sphenoid wing meningiomas (mSWM) ***: We included 46 patients treated for mSWM from 2014 to 2019 to evaluate their tumors location, volume, cavernous sinus involvement, vascular encasement, and bone invasion by 3D multimodality fusion imaging. A scoring system based on the significant parameters detected by statistical analysis was created and ***: The tumor volumes ranged from 0.8 cm3 to 171.9 cm3. A total of 39 (84.8%) patients had arterial involvement. Cavernous sinus (CS) involvement was observed in 23 patients (50.0%) and bone invasion was noted in 10 patients (21.7%). Simpson I resection was achieved in 10 patients (21.7%) and Simpson II resection was achieved in 17 patients (37.0%). Fifteen patients (32.6%) underwent Simpson III resection and 4 patients (8.7%) underwent Simpson IV resections. A scoring system was created. The score ranged from 1 to 10 and the mean score of our patients was 5.3 ± 2.8. Strong positive monotonic correlation existed between the score and resection grade (Rs = 0.772,P 0.001). The scoring system had good predictive capacity with an accuracy of 69.60%.Conclusions: We described a scoring system that enabled neurosurgeons to predict extent of resection and outcomes for mSWM preoperatively with 3D multimodality fusion *** registration: Retrospectively registered