Predicting Intracranial Aneurysm Rupture: A Multifactor Analysis Combining Radscore, Morphology, and PHASES Parameters.

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作者： Zhaoxiang,Zhang ^[1] ; Hui,Li ^[2] ; Xiaoming,Zhou ^[3] ; Yanjiu,Zhong ^[4] ; Yue,Zhang ^[5] ; Jinlong,Deng ^[3] ; Shujuan,Chen ^[3] ; Qikai,Tang ^[3] ; Bingtao,Zhang ^[3] ; Zixuan,Yuan ^[3] ; Hui,Ding ^[3] ; An,Zhang ^[1] ; Qi,Wu ^[3] ; Xin,Zhang ^[6]

作者单位： Department of Neurosurgery, Jinling Hospital, Jinling School of Clinical Medicine, Nanjing Medical University, Nanjing 210029, China. ^[1] Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China. ^[2] Department of Neurosurgery, Jinling hospital, Affiliated Hospital of Medical school, Nanjing University, Nanjing 210000, China. ^[3] Key Laboratory of System Control and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, China. ^[4] Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China. ^[5] Department of Neurosurgery, Jinling Hospital, Jinling School of Clinical Medicine, Nanjing Medical University, Nanjing 210029, China; Department of Neurosurgery, Jinling hospital, Affiliated Hospital of Medical school, Nanjing University, Nanjing 210000, China. Electronic address: zhangxsp@163.com. ^[6]

关键词 Intracranial aneurysm Machine learning Nomogram PHASES Radiomics