Systematic Training of Liver Imaging Reporting and Data System Magnetic Resonance Imaging v2018 can Improve the Diagnosis of Hepatocellular Carcinoma for Different Radiologists.
Diagnostic imaging
Liver Imaging Reporting and Data System
Liver neoplasm
Magnetic resonance imaging
Training program
Journal
Journal of clinical and translational hepatology
ISSN: 2225-0719
Titre abrégé: J Clin Transl Hepatol
Pays: United States
ID NLM: 101649815
Informations de publication
Date de publication:
28 Aug 2021
28 Aug 2021
Historique:
received:
13
05
2021
revised:
20
06
2021
accepted:
01
07
2021
entrez:
27
8
2021
pubmed:
28
8
2021
medline:
28
8
2021
Statut:
ppublish
Résumé
Liver imaging reporting and data system (LI-RADS) provides standardized lexicon and categorization for diagnosing hepatocellular carcinoma (HCC). However, there is limited knowledge about the effect of LI-RADS training. We prospectively explored whether the systematic training of LI-RADS v2018 on magnetic resonance imaging (MRI) can effectively improve the diagnostic performances of different radiologists for HCC. A total of 20 visiting radiologists and the multiparametric MRI of 70 hepatic observations in 61 patients with high risk of HCC were included in this study. The LI-RADS v2018 training procedure included three times of thematic lectures (each lasting for 2.5 h) given by a professor specialized in imaging diagnosis of liver, with an interval of a month. After each seminar, the radiologists had a month to adopt the algorithm into their daily work. The diagnostic performances and interobserver agreements of these radiologists adopting the algorithm for HCC diagnosis before and after training were compared. A total of 20 radiologists (male/female, 12/8; with an average age of 36.75±4.99 years) were enrolled. After training, the interobserver agreements for the LI-RADS category for all radiologists ( The systematic training of LI-RADS can effectively improve the diagnostic performances of radiologists with different experiences for HCC.
Sections du résumé
BACKGROUND AND AIMS
OBJECTIVE
Liver imaging reporting and data system (LI-RADS) provides standardized lexicon and categorization for diagnosing hepatocellular carcinoma (HCC). However, there is limited knowledge about the effect of LI-RADS training. We prospectively explored whether the systematic training of LI-RADS v2018 on magnetic resonance imaging (MRI) can effectively improve the diagnostic performances of different radiologists for HCC.
METHODS
METHODS
A total of 20 visiting radiologists and the multiparametric MRI of 70 hepatic observations in 61 patients with high risk of HCC were included in this study. The LI-RADS v2018 training procedure included three times of thematic lectures (each lasting for 2.5 h) given by a professor specialized in imaging diagnosis of liver, with an interval of a month. After each seminar, the radiologists had a month to adopt the algorithm into their daily work. The diagnostic performances and interobserver agreements of these radiologists adopting the algorithm for HCC diagnosis before and after training were compared.
RESULTS
RESULTS
A total of 20 radiologists (male/female, 12/8; with an average age of 36.75±4.99 years) were enrolled. After training, the interobserver agreements for the LI-RADS category for all radiologists (
CONCLUSIONS
CONCLUSIONS
The systematic training of LI-RADS can effectively improve the diagnostic performances of radiologists with different experiences for HCC.
Identifiants
pubmed: 34447683
doi: 10.14218/JCTH.2021.00180
pii: JCTH.2021.00180
pmc: PMC8369024
doi:
Types de publication
Journal Article
Langues
eng
Pagination
537-544Informations de copyright
© 2021 Authors.
Déclaration de conflit d'intérêts
The authors have no conflict of interests related to this publication.
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