Machine learning decision support model construction for craniotomy approach of pineal region tumors based on MRI images.

Journal: BMC medical imaging
Published Date:

Abstract

BACKGROUND: Pineal region tumors (PRTs) are rare but deep-seated brain tumors, and complete surgical resection is crucial for effective tumor treatment. The choice of surgical approach is often challenging due to the low incidence and deep location. This study aims to combine machine learning and deep learning algorithms with pre-operative MRI images to build a model for PRTs surgical approaches recommendation, striving to model clinical experience for practical reference and education.

Authors

  • Ziyan Chen
    Department of Urology, ZhongNan Hospital, Wuhan University, No. 169 Donghu Road, Wuhan, 430071, Hubei, China.
  • Yinhua Chen
    Department of Neurosurgery, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, Hunan, P. R. China.
  • Yandong Su
    Department of Neurosurgery, Changhai Hospital, Naval Medical University, Shanghai, P. R. China.
  • Nian Jiang
    Department of Neurosurgery, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, Hunan, P. R. China.
  • Siyi Wanggou
    Department of Neurosurgery, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, Hunan, P. R. China.
  • Xuejun Li