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...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Dae Hee, Goo, Jin Mo, Chong, Semin, Ahn, Myeong Im
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2017
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5313529/
https://www.ncbi.nlm.nih.gov/pubmed/28246521
http://dx.doi.org/10.3348/kjr.2017.18.2.402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5313529/
https://www.ncbi.nlm.nih.gov/pubmed/28246521
http://dx.doi.org/10.3348/kjr.2017.18.2.402

Ejemplares similares