MRI-diagnosis of category LR-M observations in the Liver Imaging Reporting and Data System v2018: a systematic review and meta-analysis

• Published in: European radiology 2022-05, Vol.32 (5), p.3319-3326
• Main Authors: Shin, Jaeseung, Lee, Sunyoung, Hwang, Jeong Ah, Lee, Ji Eun, Chung, Yong Eun, Choi, Jin-Young, Park, Mi-Suk
• Format: Article
• Language: English
• Subjects: Carcinoma, Hepatocellular - diagnostic imaging; Confidence intervals; Contrast Media; Diagnostic Radiology; Gastrointestinal; Hepatocellular carcinoma; Heterogeneity; Humans; Imaging; Internal Medicine; Interventional Radiology; Lesions; Liver; Liver cancer; Liver Neoplasms - diagnostic imaging; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Mathematical analysis; Medical diagnosis; Medical imaging; Medicine; Medicine & Public Health; Meta-analysis; Neuroradiology; Quality assessment; Quality control; Radiology; Regression analysis; Retrospective Studies; Sensitivity and Specificity; Statistical analysis; Ultrasound
• ISSN: 1432-1084; 0938-7994; 1432-1084
• DOI: 10.1007/s00330-021-08382-y

Objectives We performed a meta-analysis to determine the probability of hepatocellular carcinoma (HCC) and non-HCC malignancies in Liver Imaging Reporting and Data System (LI-RADS) category M (LR-M) observations and the frequency of defined LR-M imaging features on MRI using LI-RADS v2018. Methods We searched the MEDLINE and EMBASE databases to identify studies published from 1 January 2018 to 16 March 2021 reporting the probability of category LR-M in HCC and non-HCC malignancies on MRI. The pooled percentages of HCC and non-HCC malignancies in the LR-M observations were evaluated. Meta-regression analysis was performed to identify factors for study heterogeneity. The frequencies of defined LR-M imaging features were also calculated. Risk of bias and concerns regarding applicability were evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Results We identified 18 studies reporting the diagnostic performance of the LR-M category (3,812 observations in 3,615 patients), with nine studies reporting the frequencies of LR-M imaging features. The pooled percentages of HCC and non-HCC malignancies in the LR-M observations were 29% (95% confidence interval [CI], 21–38%) and 67% (95%CI, 57–77%), respectively. The study type and inclusion of benign lesions were significant factors for study heterogeneity. Of the 10 LR-M imaging features, rim arterial phase hyperenhancement (APHE) showed the highest frequency in non-HCC malignancies (68%; 95%CI, 61–75%). Conclusions The LR-M category was commonly used to characterize non-HCC malignancies, but also included 29% of HCC. The frequencies of the different LR-M imaging features were variable, with rim APHE showing the highest frequency in non-HCC malignancies. Key Points • In the LR-M category using LI-RADS v2018 for MRI , the pooled percentage of malignancies in general was 96%, with 29% HCC and 67% non-HCC malignancies, while the remaining 4% was benign entity. • The study type and inclusion of benign lesions were significant factors contributing to substantial heterogeneity among included studies. • The frequencies of the different LR-M imaging features were variable, with rim APHE showing the highest frequency in non-HCC malignancies.