Literature DB >> 32129541

Liver imaging reporting and data system category M: A systematic review and meta-analysis.

Dong Hwan Kim1, Sang Hyun Choi1, Seong Ho Park1, Kyung Won Kim1, Jae Ho Byun1, So Yeon Kim1, Seung Soo Lee1, Yong Moon Shin1, Hyung Jin Won1, Pyo-Nyun Kim1.   

Abstract

BACKGROUND AND AIMS: The Liver Imaging Reporting and Data System (LI-RADS) category M (LR-M) was introduced to preserve the high specificity of LI-RADS algorithm for diagnosing hepatocellular carcinoma (HCC). We aimed to systematically determine the probability of the LR-M for HCC and non-HCC malignancy, and to determine the sources of heterogeneity between reported results.
METHODS: Original studies reporting the probability of LR-M for HCC and non-HCC malignancy on magnetic resonance imaging (MRI) were identified in MEDLINE and EMBASE. The meta-analytic pooled percentages of HCC and non-HCC in LR-M were calculated. Meta-regression analysis was performed to explore study heterogeneity. The meta-analytic frequency of each LR-M imaging feature was determined.
RESULTS: We found 10 studies reporting the diagnostic performance of LR-M (1819 lesions in 1631 patients), and six reporting the frequency of LR-M imaging features. The pooled percentages of HCC and non-HCC malignancy for LR-M were 28.2% (95% confidence interval [CI], 23.8%-33.1%; I2  = 83%) and 69.6% (95% CI, 64.6%-74.1%; I2  = 83%) respectively. The study type and MRI scanner field strength were significantly associated with study heterogeneity (P ≤ .04). Of the seven imaging features, rim arterial phase hyperenhancement showed the highest frequency in both non-HCC (48.9%; 95% CI, 43.0%-54.8%) and HCC groups (9.8%; 95% CI, 6.9%-13.6%).
CONCLUSIONS: The LR-M category most commonly included non-HCC malignancy but also included 28.2% of HCC. Substantial study heterogeneity was noted, and it was significantly associated with study type and MRI scanner field strength. In addition, the frequency of LR-M imaging features was variable.
© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  hepatocellular carcinoma; liver imaging reporting and data system; magnetic resonance imaging; systematic review; meta-analysis

Mesh:

Year:  2020        PMID: 32129541     DOI: 10.1111/liv.14420

Source DB:  PubMed          Journal:  Liver Int        ISSN: 1478-3223            Impact factor:   5.828


  3 in total

1.  Differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma and combined hepatocellular-cholangiocarcinoma in high-risk patients matched to MR field strength: diagnostic performance of LI-RADS version 2018.

Authors:  Xianlun Zou; Yan Luo; John N Morelli; Xuemei Hu; Yaqi Shen; Daoyu Hu
Journal:  Abdom Radiol (NY)       Date:  2021-03-03

2.  New strategy for Liver Imaging Reporting and Data System category M to improve diagnostic performance of MRI for hepatocellular carcinoma ≤ 3.0 cm.

Authors:  Jong Keon Jang; Sang Hyun Choi; Jae Ho Byun; Seo Young Park; So Jung Lee; So Yeon Kim; Hyung Jin Won; Yong Moon Shin; Pyo-Nyun Kim
Journal:  Abdom Radiol (NY)       Date:  2022-05-06

3.  Contrast-enhanced ultrasound Liver Imaging Reporting and Data System category M: a systematic review and meta-analysis.

Authors:  Jaeseung Shin; Sunyoung Lee; Yeun-Yoon Kim; Yong Eun Chung; Jin-Young Choi; Mi-Suk Park
Journal:  Ultrasonography       Date:  2021-05-19
  3 in total

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