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Effectiveness of radiologist training in improving reader agreement for Lung-RADS 4X categorization.

Hyungjin KimJin Mo GooTae Jung KimHyae Young KimGuanmin GuBomi GilWooil KimSeon Young ParkJunghoan ParkJuil ParkHarkhoon ParkWonkyu SongKyung Eun ShinJiseon OhSung Hyun YoonSanghyup LeeYoukyung LeeWoo Hyeon LimWon Gi JeongJung Im JungMin Jae ChaSinae ChoiHyoung In ChoiSoo-Youn HamYeol Kim
Published in: European radiology (2021)
• Agreement on 4X categorization between radiologists and an expert-adjudicated reference standard was initially poor, but improved significantly after training. • The mean proportion of 4X categorization by 19 radiologists decreased from 56.4% ± 16.9% in session 1 to 33.4% ± 8.0% in session 2. • All agreement measures between the 4X categorization and lung cancer diagnosis increased significantly in session 2, implying that appropriate training and guidance increased the diagnostic potential of category 4X.
Keyphrases
  • transcranial direct current stimulation
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  • artificial intelligence
  • randomized controlled trial
  • systematic review
  • clinical practice
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