Should All Pancreatic Cystic Lesions with Worrisome or High-Risk Features Be Resected? A Clinical and Radiological Machine Learning Model May Help to Answer.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: According to current guidelines, pancreatic cystic lesions (PCLs) with worrisome or high-risk features may have overtreatment. The purpose of this study was to build a clinical and radiological based machine-learning (ML) model to identify malignant PCLs for surgery among preoperative PCLs with worrisome or high-risk features.

Authors

  • Wenyi Deng
    Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China.
  • Jingyi Liu
    College of Sciences, Northeastern University, Shenyang 110819, China.
  • Xiheng Wang
    Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Shuaifuyuan No.1, Wangfujing Street, Dongcheng District, Beijing, 100730, People's Republic of China.
  • Feiyang Xie
    Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Shuaifuyuan No 1, Wangfujing Street, Dongcheng District, Beijing 100730, People's Republic of China (W.D., J.L., F.X., S.W., X.Z., Z.J., H.X.).
  • Shitian Wang
    Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Shuaifuyuan No 1, Wangfujing Street, Dongcheng District, Beijing 100730, People's Republic of China (W.D., J.L., F.X., S.W., X.Z., Z.J., H.X.).
  • Xinyu Zhang
    Wenzhou Medical University Renji College, Wenzhou, Zhejiang, China.
  • Li Mao
    Deepwise AI Lab, Deepwise Inc, No.8 Haidian avenue, Sinosteel International Plaza, Beijing, 100080, China.
  • Xiuli Li
    Department of Obstetrics and Gynecology, General Hospital of Chinese People's Liberation Army, Beijing 100853, China.
  • Ya Hu
    Department of General Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, People's Republic of China (Y.H.).
  • Zhengyu Jin
    Departments of Radiology, Peking Union Medical College Hospital, Beijing.
  • Huadan Xue
    From the Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China. Electronic address: bjdanna95@163.com.