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Diagnostic performance of Liver Imaging Reporting and Data System treatment response algorithm: a systematic review and meta-analysis.

Seo Yeon YounDennis Dong Hwan KimSang Hyun ChoiBohyun KimJoon-Il ChoiYu Ri ShinSoon Nam OhSung Eun Rha
Published in: European radiology (2021)
• The meta-analytic pooled sensitivity and specificity of LR-TR viable category were 63% (95% CI, 39-81%) and 96% (95% CI, 91-99%), respectively. • The meta-analytic pooled sensitivity and specificity of LR-TR viable or equivocal category combined were 71% (95% CI, 55-84%) and 87% (95% CI, 73-94%), respectively. • The type of reference standard and study design were the factors significantly influencing study heterogeneity (p ≤ 0.01).
Keyphrases
  • high resolution
  • machine learning
  • single cell
  • electronic health record
  • big data
  • clinical trial
  • randomized controlled trial
  • fluorescence imaging