Machine learning in prenatal MRI predicts postnatal ventricular abnormalities in fetuses with isolated ventriculomegaly.

Journal: European radiology
PMID: 38730032

Abstract

OBJECTIVES: To evaluate the intracranial structures and brain parenchyma radiomics surrounding the occipital horn of the lateral ventricle in normal fetuses (NFs) and fetuses with ventriculomegaly (FVs), as well as to predict postnatally enlarged lateral ventricle alterations in FVs.

Authors

  • Xue Chen
    Department of Orthopedics, The Second Hospital of Jilin University, Changchun 130041, China.
  • Daqiang Xu
    Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou City, Jiangsu Province, 215002, China.
  • Xiaowen Gu
    Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou City, Jiangsu Province, 215002, China.
  • Zhisen Li
    Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002, Jiangsu, People's Republic of China.
  • Yisha Zhang
    Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou City, Jiangsu Province, 215002, China.
  • Peng Wu
    Department of Orthopedics, General Hospital of Ningxia Medical University, Yinchuan, China.
  • Zhou Huang
    Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China.
  • Jibin Zhang
    Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002, Jiangsu, People's Republic of China.
  • Yonggang Li
    Department of Radiology, The First Affiliated Hospital of Soochow University, Jiangsu Province, Jiangsu Province, 215006, Suzhou City, China. liyonggang224@163.com.

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