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Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19.

Yingyan ZhengAnling XiaoXiang-Rong YuYajing ZhaoYiping LuXuanxuan LiNan MeiDejun SheDongdong WangDaoying GengBo Yin
Published in: Korean journal of radiology (2020)
Underlying comorbidity, lymphocyte count and crazy-paving sign were independent predictors of adverse outcomes. The prognostic nomogram based on the combination of clinical and CT features could be a useful tool for predicting adverse outcomes of patients with COVID-19.
Keyphrases
  • computed tomography
  • image quality
  • dual energy
  • contrast enhanced
  • peripheral blood
  • magnetic resonance imaging
  • positron emission tomography
  • emergency department
  • squamous cell carcinoma