A Diagnostic Prediction Model of Acute Symptomatic Portal Vein Thrombosis.

Journal: Annals of vascular surgery
Published Date: Nov 1, 2019

Abstract

BACKGROUND: The aim of this study was to develop a diagnostic prediction model to improve identification of acute symptomatic portal vein thrombosis (PVT).

Authors

  • Kun Liu
    Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Kaixin Zhang
    ARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Macquarie University , North Ryde 2109, Australia.
  • Shuo Wang
    College of Tea & Food Science, Anhui Agricultural University, Hefei, China.
  • Xiaoqiang Li
    Department of Vascular Surgery, Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, China. Electronic address: SuzhouXQL@163.com.

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