Diagnostic Accuracy of the Liver Imaging Reporting and Data System (LI-RAD 2018) in Diagnostic of Hepatocellular Carcinoma in Cirrhosis Patients, Chronic Hepatitis B Carrier Patient, Prior Hepatocellular Carcinoma Patient and Treated Hepatocellular Carcin
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Creator 1. Monthanee Puengphong
2. Krongkan Kanchanarat
Title Diagnostic Accuracy of the Liver Imaging Reporting and Data System (LI-RAD 2018) in Diagnostic of Hepatocellular Carcinoma in Cirrhosis Patients, Chronic Hepatitis B Carrier Patient, Prior Hepatocellular Carcinoma Patient and Treated Hepatocellular Carcinoma Patient Compared with Histopathological Report
Publisher Text and Journal Publication
Publication Year 2565
Journal Title Vajira Medical Journal
Journal Vol. 66
Journal No. 2
Page no. 103-114
Keyword LIRAD, LIRAD version 2018, HCC
URL Website https://tci-thaijo.org/index.php/VMED
Website title Vajira Medical Journal (วชิรเวชสาร)
ISSN 0125-1252
Abstract Objective: To evaluate the accuracy of the Liver Imaging Reporting and Data System (LI-RADS) version 2018 category 5 in magnetic resonance imaging (MRI) for the diagnosis of hepatocellular carcinoma Methods: This retrospective study included patients who underwent liver MRI and had proven pathological lesion. From 2012 to 2021, 45 patients (52 observations including 29 HCCs) met the inclusion criteria. Two radiologists independently reviewed hepatic observation and assessed the LI-RADS version 2018 category. The diagnosis performances of LI-RADS 3, LI-RADS 4, and LI-RADS 5 were calculated using the generalized estimating equation method. Results: A total of 45 patients (mean age, 59.8) with 52 lesions, including 26 men and 19 women met the inclusion criteria. Most lesions were HCC ,29 (55.8%). The highest sensitivity of the major feature for HCC diagnosis was non-rim arterial enhancement (93%). The highest specificity of the major feature for HCC diagnosis was capsule appearance (100%). The highest accuracy of the major feature for diagnosis was non-rim peripheral washout (86.6%). The inter-observer agreement between the two readers in the classification of lesions was perfect for the Liver Imaging Reporting and Data System (LI-RADS) classification (k= 0.868) and almost perfect for LI-RADS with AF classification (k= 0.872). The LI-RADS 5 sensitivities were 82.8% and 79.3% (as R1, R2) with the same value when combined with ancillary findings. The accuracy of L5 of LI-RADS 2018 was 87.5% (same value with ancillary findings) and 83.3% (same value with ancillary findings) in R1 and R2, respectively. Conclusion: The LI-RADS version 2018 category 5 has high sensitivity, specificity, and accuracy in the diagnosis of HCC.
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