Combined radiomics nomogram of different machine learning models for preoperative distinguishing intraspinal schwannomas and meningiomas: a multicenter and comparative study.

Journal: Clinical radiology
Published Date:

Abstract

AIMS: The objective of our study was to establish and verify a novel combined model based on multiparameter magnetic resonance imaging (MRI) radiomics and clinical features to distinguish intraspinal schwannomas from meningiomas.

Authors

  • Z Xu
    Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Y-H Wang
    Department of Radiology, Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangzhou 510630, China; Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiangxi Road, Guangzhou, Guangdong 510120, China.
  • Z-Y Cheng
    Medical Imaging Center, First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou 510630, Guangdong, China.
  • Y-Z Feng
    Medical Imaging Center, First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou 510630, Guangdong, China.
  • X-C Li
    Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiangxi Road, Guangzhou, Guangdong 510120, China. Electronic address: xinchunli@163.com.
  • Q Zhou
    Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
  • X-R Cai
    Medical Imaging Center, First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou 510630, Guangdong, China. Electronic address: caixran@jnu.edu.cn.