An ultrasound-based ensemble machine learning model for the preoperative classification of pleomorphic adenoma and Warthin tumor in the parotid gland.

Journal: European radiology
Published Date: Apr 3, 2024

Abstract

OBJECTIVES: The preoperative classification of pleomorphic adenomas (PMA) and Warthin tumors (WT) in the parotid gland plays an essential role in determining therapeutic strategies. This study aims to develop and validate an ultrasound-based ensemble machine learning (USEML) model, employing nonradiative and noninvasive features to differentiate PMA from WT.

Authors

  • Yanping He
    Department of Medical Ultrasonics, The First People's Hospital of Foshan, No. 81, Lingnan Avenue North, Foshan, 528000, China.
  • Bowen Zheng
    Department of Mechanical Engineering, University of California, Berkeley, CA, 94720, USA.
  • Weiwei Peng
    Department of Medical Ultrasonics, The First People's Hospital of Foshan, No. 81, Lingnan Avenue North, Foshan, 528000, China.
  • Yongyu Chen
    Department of Medical Ultrasonics, The First People's Hospital of Foshan, No. 81, Lingnan Avenue North, Foshan, 528000, China.
  • Lihui Yu
    Dalian Municipal Central Hospital, Dalian, Liaoning, China.
  • Weijun Huang
  • Genggeng Qin
    Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

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