טוען...

Are Lung Imaging Reporting and Data System Categories Clear to Radiologists? A Survey of the Korean Society of Thoracic Radiology Members on Ten Difficult-to-Classify Scenarios

OBJECTIVE: To evaluate possible variability in chest radiologists' interpretations of the Lung Imaging Reporting and Data System (Lung-RADS) on difficult-to-classify scenarios. MATERIALS AND METHODS: Ten scenarios of difficult-to-classify imaginary lung nodules were prepared as an online survey...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Korean J Radiol
Main Authors: Han, Dae Hee, Goo, Jin Mo, Chong, Semin, Ahn, Myeong Im
פורמט: Artigo
שפה:Inglês
יצא לאור: The Korean Society of Radiology 2017
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC5313529/
https://ncbi.nlm.nih.gov/pubmed/28246521
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2017.18.2.402
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