TY - JOUR
T1 - CT/MRI and CEUS LI-RADS Major Features Association with Hepatocellular Carcinoma
T2 - Individual Patient Data Meta-Analysis
AU - van der Pol, Christian B.
AU - McInnes, Matthew D.F.
AU - Salameh, Jean Paul
AU - Levis, Brooke
AU - Chernyak, Victoria
AU - Sirlin, Claude B.
AU - Bashir, Mustafa R.
AU - Allen, Brian C.
AU - Burke, Lauren M.B.
AU - Choi, Jin Young
AU - Choi, Sang Hyun
AU - Forner, Alejandro
AU - Fraum, Tyler J.
AU - Giamperoli, Alice
AU - Jiang, Hanyu
AU - Joo, Ijin
AU - Kang, Zhen
AU - Kierans, Andrea S.
AU - Kang, Hyo Jin
AU - Khatri, Gaurav
AU - Kim, Jung Hoon
AU - Kim, Myeong Jin
AU - Kim, So Yeon
AU - Kim, Yeun Yoon
AU - Kwon, Heejin
AU - Lee, Jeong Min
AU - Lewis, Sara C.
AU - McGinty, Katrina A.
AU - Mulazzani, Lorenzo
AU - Park, Mi Suk
AU - Piscaglia, Fabio
AU - Podgórska, Joanna
AU - Reiner, Caecilia S.
AU - Ronot, Maxime
AU - Rosiak, Grzegorz
AU - Song, Bin
AU - Song, Ji Soo
AU - Tang, An
AU - Terzi, Eleonora
AU - Wang, Jin
AU - Wang, Wei
AU - Wilson, Stephanie R.
AU - Yokoo, Takeshi
N1 - Publisher Copyright:
© RSNA, 2021
PY - 2022/2
Y1 - 2022/2
N2 - Background: The Liver Imaging Reporting and Data System (LI-RADS) assigns a risk category for hepatocellular carcinoma (HCC) to imaging observations. Establishing the contributions of major features can inform the diagnostic algorithm. Purpose: To perform a systematic review and individual patient data meta-analysis to establish the probability of HCC for each LIRADS major feature using CT/MRI and contrast-enhanced US (CEUS) LI-RADS in patients at high risk for HCC. Materials and Methods: Multiple databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Scopus) were searched for studies from January 2014 to September 2019 that evaluated the accuracy of CT, MRI, and CEUS for HCC detection using LI-RADS (CT/MRI LI-RADS, versions 2014, 2017, and 2018; CEUS LI-RADS, versions 2016 and 2017). Data were centralized. Clustering was addressed at the study and patient levels using mixed models. Adjusted odds ratios (ORs) with 95% CIs were determined for each major feature using multivariable stepwise logistic regression. Risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) (PROSPERO protocol: CRD42020164486). Results: A total of 32 studies were included, with 1170 CT observations, 3341 MRI observations, and 853 CEUS observations. At multivariable analysis of CT/MRI LI-RADS, all major features were associated with HCC, except threshold growth (OR, 1.6; 95% CI: 0.7, 3.6; P =.07). Nonperipheral washout (OR, 13.2; 95% CI: 9.0, 19.2; P =.01) and nonrim arterial phase hyperenhancement (APHE) (OR, 10.3; 95% CI: 6.7, 15.6; P =.01) had stronger associations with HCC than enhancing capsule (OR, 2.4; 95% CI: 1.7, 3.5; P =.03). On CEUS images, APHE (OR, 7.3; 95% CI: 4.6, 11.5; P =.01), late and mild washout (OR, 4.1; 95% CI: 2.6, 6.6; P =.01), and size of at least 20 mm (OR, 1.6; 95% CI: 1.04, 2.5; P =.04) were associated with HCC. Twenty-five studies (78%) had high risk of bias due to reporting ambiguity or study design flaws. Conclusion: Most Liver Imaging Reporting and Data System major features had different independent associations with hepatocellular carcinoma; for CT/MRI, arterial phase hyperenhancement and washout had the strongest associations, whereas threshold growth had no association.
AB - Background: The Liver Imaging Reporting and Data System (LI-RADS) assigns a risk category for hepatocellular carcinoma (HCC) to imaging observations. Establishing the contributions of major features can inform the diagnostic algorithm. Purpose: To perform a systematic review and individual patient data meta-analysis to establish the probability of HCC for each LIRADS major feature using CT/MRI and contrast-enhanced US (CEUS) LI-RADS in patients at high risk for HCC. Materials and Methods: Multiple databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Scopus) were searched for studies from January 2014 to September 2019 that evaluated the accuracy of CT, MRI, and CEUS for HCC detection using LI-RADS (CT/MRI LI-RADS, versions 2014, 2017, and 2018; CEUS LI-RADS, versions 2016 and 2017). Data were centralized. Clustering was addressed at the study and patient levels using mixed models. Adjusted odds ratios (ORs) with 95% CIs were determined for each major feature using multivariable stepwise logistic regression. Risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) (PROSPERO protocol: CRD42020164486). Results: A total of 32 studies were included, with 1170 CT observations, 3341 MRI observations, and 853 CEUS observations. At multivariable analysis of CT/MRI LI-RADS, all major features were associated with HCC, except threshold growth (OR, 1.6; 95% CI: 0.7, 3.6; P =.07). Nonperipheral washout (OR, 13.2; 95% CI: 9.0, 19.2; P =.01) and nonrim arterial phase hyperenhancement (APHE) (OR, 10.3; 95% CI: 6.7, 15.6; P =.01) had stronger associations with HCC than enhancing capsule (OR, 2.4; 95% CI: 1.7, 3.5; P =.03). On CEUS images, APHE (OR, 7.3; 95% CI: 4.6, 11.5; P =.01), late and mild washout (OR, 4.1; 95% CI: 2.6, 6.6; P =.01), and size of at least 20 mm (OR, 1.6; 95% CI: 1.04, 2.5; P =.04) were associated with HCC. Twenty-five studies (78%) had high risk of bias due to reporting ambiguity or study design flaws. Conclusion: Most Liver Imaging Reporting and Data System major features had different independent associations with hepatocellular carcinoma; for CT/MRI, arterial phase hyperenhancement and washout had the strongest associations, whereas threshold growth had no association.
UR - https://www.scopus.com/pages/publications/85124489189
U2 - 10.1148/RADIOL.2021211244
DO - 10.1148/RADIOL.2021211244
M3 - Journal article
C2 - 34783596
AN - SCOPUS:85124489189
SN - 0033-8419
VL - 302
SP - 326
EP - 335
JO - Radiology
JF - Radiology
IS - 2
ER -
SDG 3 Good Health and Well-being