Development and validation of a deep learning model for prediction of intracranial aneurysm rupture risk based on multi-omics factor.

Journal: European radiology
Published Date: Apr 26, 2023

Abstract

OBJECTIVE: The clinical ability of radiomics to predict intracranial aneurysm rupture risk remains unexplored. This study aims to investigate the potential uses of radiomics and explore whether deep learning (DL) algorithms outperform traditional statistical methods in predicting aneurysm rupture risk.

Authors

  • Mirzat Turhon
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Mengxing Li
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Huibin Kang
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Jiliang Huang
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Fujunhui Zhang
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Yisen Zhang
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100050, China.
  • Aierpati Maimaiti
    Department of Neurosurgery, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, 840017, People's Republic of China.
  • Dilmurat Gheyret
    Department of Neurosurgery, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, 840017, People's Republic of China.
  • Aximujiang Axier
    Department of Neurosurgery, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, 840017, People's Republic of China.
  • Miamaitili Aisha
    Department of Neurosurgery, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, 840017, People's Republic of China. mmtaili@aliyun.com.
  • Xinjian Yang
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100050, China. yangxinjian@voiceoftiantan.org.
  • Jian Liu
    Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.

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