Improving detection performance of hepatocellular carcinoma and interobserver agreement for liver imaging reporting and data system on CT using deep learning reconstruction

PURPOSE: This study aimed to compare the hepatocellular carcinoma (HCC) detection performance, interobserver agreement for Liver Imaging Reporting and Data System (LI-RADS) categories, and image quality between deep learning reconstruction (DLR) and conventional hybrid iterative reconstruction (Hybr...

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Detalles Bibliográficos
Autores principales: Okimoto, Naomasa, Yasaka, Koichiro, Kaiume, Masafumi, Kanemaru, Noriko, Suzuki, Yuichi, Abe, Osamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Hepatobiliary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115733/
https://www.ncbi.nlm.nih.gov/pubmed/36757454
http://dx.doi.org/10.1007/s00261-023-03834-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115733/
https://www.ncbi.nlm.nih.gov/pubmed/36757454
http://dx.doi.org/10.1007/s00261-023-03834-z

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