Normalized Brain Datasets with Functional Information Predict the Glioma Surgery
Normalized Brain Datasets with Functional Information Predict the Glioma Surgery
复制标题
具有功能信息的标准化大脑数据集可预测神经胶质瘤手术
DOI：
10.1007/978-981-16-4325-5_22
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Muragaki Yoshihiro
中科院分区：
文献类型：
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作者：
Tamura Manabu;Sato Ikuma;Muragaki Yoshihiro
本研究的目标是根据肿瘤切除率和术后并发症发生率，向数字化术中影像和基于患者未来视角的脑功能汇编数据库转变，以预测胶质瘤手术。首先，我们成功获取了20例患者术中磁共振图像中整合医疗器械位置的日志数据，并将数字化脑功能转换为规范化脑数据格式，准确率尚可。共有22例言语阻滞（SA）， 10例言语障碍（SI）， 12例运动反应，7例感觉反应（51例）。其次，我们模拟了归一化大脑数据到个体术前和术中磁共振图像的投影。这些脑归一化的图像整合和转换方法应该有助于实际的术中脑制图。在未来，这些方法可能有助于术前和/或术中预测脑功能。
The goal of this study is to transform to the digitized intraoperative imaging and the compiled brain-function database for predicting glioma surgery that is based on the patient’s future perspective depending on the tumor resection rate as well as the postoperative complication rate. Firstly, we successfully acquired log data with the location of medical device integrated into intraoperative MR image and digitized brain function was converted to a normalized brain data format in 20 cases with acceptable accuracy. There were totally 22 speech arrest (SA), 10 speech impairment (SI), 12 motor, and 7 sensory responses (51 responses). Secondly, we simulated the projection of the normalized brain data to the individual pre- and intraoperative MR image. These image integration and transformation methods for brain normalization should facilitate practical intraoperative brain mapping. In the future, these methods may be helpful for preoperatively and/or intraoperatively predicting brain function.