Literature DB >> 31939892

Interobserver Agreement of Magnetic Resonance Imaging of Liver Imaging Reporting and Data System Version 2018.

Ahmed Abdel Khalek Abdel Razek1, Lamiaa Galal El-Serougy1, Gehad Ahmad Saleh1, Rihame Abd El-Wahab1, Walaa Shabana2.   

Abstract

AIM: This study aimed to assess the interobserver agreement of magnetic resonance (MR) imaging of Liver Imaging Reporting and Data System version 2018 (LI-RADS v2018). SUBJECTS AND METHODS: Retrospective analysis was done for 119 consecutive patients (77 male and 42 female) at risk of hepatocellular carcinoma who underwent dynamic contrast MR imaging. Image analysis was done by 2 independent and blinded readers for arterial phase hyperenhancement, washout appearance, enhancing capsule appearance, and size. Hepatic lesions were classified into 7 groups according to LI-RADS v2018.
RESULTS: There was excellent interobserver agreement of both reviewers for LR version 4 (κ = 0.887, P = 0.001) with 90.76% agreement. There was excellent interobserver agreement for nonrim arterial phase hyperenhancement (κ = 0.948; 95% confidence interval [CI], 0.89-0.99; P = 0.001), washout appearance (κ = 0.949; 95% CI, 0.89-1.0; P = 0.001); and enhancing capsule (κ = 0.848; 95% CI, 0.73-0.97; P = 0.001) and excellent reliability of size (interclass correlation, 0.99; P = 0.001). There was excellent interobserver agreement for LR-1 (κ = 1.00, P = 0.001), LR-2 (κ = 0.94, P = 0.001), LR-5 (κ = 0.839, P = 0.001), LR-M (κ = 1.00, P = 0.001), and LR-TIV (κ = 1.00; 95% CI, 1.0-1.0; P = 0.001), and good agreement for LR-3 (κ = 0.61, P = 0.001) and LR-4 (κ = 0.61, P = 0.001).
CONCLUSION: MR imaging of LI-RADS v2018 is a reliable imaging modality and reporting system that may be used for standard interpretation of hepatic focal lesions.

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Mesh:

Year:  2020        PMID: 31939892     DOI: 10.1097/RCT.0000000000000945

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  10 in total

1.  Utility of diffusion tensor imaging in differentiating benign from malignant hepatic focal lesions.

Authors:  Gehad A Saleh; Ali H Elmokadem; Ahmed Abdel Razek; Ahmed El-Morsy; Omar Hamdy; Elshimaa S Eleraky; Marwa Saleh
Journal:  Eur Radiol       Date:  2022-08-18       Impact factor: 7.034

2.  Interrater reliability and agreement of the liver imaging reporting and data system (LI-RADS) v2018 for the evaluation of hepatic lesions.

Authors:  Ahmed S Abdelrahman; Sherihan S Madkour; Mena E Y Ekladious
Journal:  Pol J Radiol       Date:  2022-06-13

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Journal:  BMC Gastroenterol       Date:  2021-02-03       Impact factor: 3.067

6.  The value of the apparent diffusion coefficient value in the Liver Imaging Reporting and Data System (LI-RADS) version 2018.

Authors:  Gehad Ahmad Saleh; Ahmed Abdel Khalek Abdel Razek; Lamiaa Galal El-Serougy; Walaa Shabana; Rihame Abd El-Wahab
Journal:  Pol J Radiol       Date:  2022-01-17

7.  Diagnostic accuracy and inter-reader reliability of the MRI Liver Imaging Reporting and Data System (version 2018) risk stratification and management system.

Authors:  Ranjit Singh; Mitchell P Wilson; Florin Manolea; Bilal Ahmed; Christopher Fung; Darryn Receveur; Gavin Low
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8.  A hypocaloric high-protein diet supplemented with β-cryptoxanthin improves non-alcoholic fatty liver disease: a randomized controlled trial.

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9.  Increasing incidence of non-HBV- and non-HCV-related hepatocellular carcinoma: single-institution 20-year study.

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10.  A novel computer-aided diagnostic system for accurate detection and grading of liver tumors.

Authors:  Ahmed Alksas; Mohamed Shehata; Gehad A Saleh; Ahmed Shaffie; Ahmed Soliman; Mohammed Ghazal; Adel Khelifi; Hadil Abu Khalifeh; Ahmed Abdel Razek; Guruprasad A Giridharan; Ayman El-Baz
Journal:  Sci Rep       Date:  2021-06-23       Impact factor: 4.379

  10 in total

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