Cargando…
Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT
PURPOSE: The aim was to evaluate the impact of CAD software on the pulmonary nodule management recommendations of radiologists in a cohort of patients with incidentally detected nodules on CT. METHODS: For this retrospective study, two radiologists independently assessed 50 chest CT cases for pulmon...
Autores principales: | Hempel, H.L., Engbersen, M.P., Wakkie, J., van Kelckhoven, B.J., de Monyé, W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356194/ https://www.ncbi.nlm.nih.gov/pubmed/35942077 http://dx.doi.org/10.1016/j.ejro.2022.100435 |
Ejemplares similares
-
Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers
por: Cipollari, Stefano, et al.
Publicado: (2022) -
OR27-2 Inter-reader Agreement of ATA Sonographic Risk In Thyroid Nodules With Indeterminate Cytology
por: Linares, Maria, et al.
Publicado: (2019) -
Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population
por: Murchison, John T., et al.
Publicado: (2022) -
Assessment of the Incremental Benefit of Computer-Aided Detection (CAD) for Interpretation of CT Colonography by Experienced and Inexperienced Readers
por: Boone, Darren, et al.
Publicado: (2015) -
Inter-reader agreement of (18)F-FDG PET/CT for the quantification of carotid artery plaque inflammation
por: Johnsrud, Kjersti, et al.
Publicado: (2020)