Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Identifying Sinus Invasion in Meningioma Patients before Surgery with Deep Learning | |
Qi Qiu1,5![]() ![]() ![]() | |
2022-04 | |
会议名称 | Medical Imaging 2022: Computer-Aided Diagnosis. SPIE, 2022 |
会议日期 | 2022-4 |
会议地点 | 线上 |
摘要 | Meningioma is the most common intracranial non-malignant tumor but is usually closely associated with the major venous sinuses. It has been recognized by neurosurgeons that meningioma should be treated with different surgical options depending on the status of sinus invasion. Therefore, it is necessary to accurately identify the venous sinus invasion status of meningioma patients before surgery; however, appropriate techniques are still lacking. Our study aimed to construct a deep learning model for accurate determination of sinus invasion before surgery. In this study, we collected multi-modal imaging data and clinical information for a total of 1048 meningioma patients from two hospitals. ResNet-50 with a dual attention mechanism was used on the preprocessed T1c and T2WI data respectively, and the final model was generated by combining the two unimodal models. The classification performance was evaluated by the area under receiver operating characteristic (ROC) curve (AUC). The results implied that the multimodal fusion classification model showed good performance in predicting meningioma sinus invasion. Further analysis on the patients with different WHO gradings indicated that our model has the best classification ability under WHO grading 1 in an independent validation cohort(0.84 AUC) . This study shows that deep learning is a reliable method for predicting sinus invasion in patients with meningioma before surgery. |
关键词 | Deep learning Meningioma Sinus invasion Multimodal fusion |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 人工智能+医疗 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/52239 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Zhenyu Liu |
作者单位 | 1.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China 2.Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China 3.Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, China 4.Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Nansihuan Xilu 119, Fengtai District, Beijing, China 5.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 6.Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China |
推荐引用方式 GB/T 7714 | Qi Qiu,Kai Sun,Jing Zhang,et al. Identifying Sinus Invasion in Meningioma Patients before Surgery with Deep Learning[C],2022. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Identifying Sinus In(277KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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