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Comparison between M-score and LR-M in the reporting system of contrast-enhanced ultrasound LI-RADS
by
Si-Min Ruan
, Jin-Yu, Liang
, Wang, Wei
, Kuang, Ming
, Shun-Li, Shen
, Li, Wei
, Xiao-Yan, Xie
, Wang, Zhu
, Lin, Yuan
, Huang, Yang
, Ming-De, Lu
, Hang-Tong, Hu
, Li-Da, Chen
in
Cholangiocarcinoma
/ Diagnostic systems
/ Hepatocellular carcinoma
/ Liver
/ Liver cancer
/ Radiology
/ Risk groups
/ Sensitivity
/ Ultrasonic imaging
/ Ultrasound
2019
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Comparison between M-score and LR-M in the reporting system of contrast-enhanced ultrasound LI-RADS
by
Si-Min Ruan
, Jin-Yu, Liang
, Wang, Wei
, Kuang, Ming
, Shun-Li, Shen
, Li, Wei
, Xiao-Yan, Xie
, Wang, Zhu
, Lin, Yuan
, Huang, Yang
, Ming-De, Lu
, Hang-Tong, Hu
, Li-Da, Chen
in
Cholangiocarcinoma
/ Diagnostic systems
/ Hepatocellular carcinoma
/ Liver
/ Liver cancer
/ Radiology
/ Risk groups
/ Sensitivity
/ Ultrasonic imaging
/ Ultrasound
2019
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Do you wish to request the book?
Comparison between M-score and LR-M in the reporting system of contrast-enhanced ultrasound LI-RADS
by
Si-Min Ruan
, Jin-Yu, Liang
, Wang, Wei
, Kuang, Ming
, Shun-Li, Shen
, Li, Wei
, Xiao-Yan, Xie
, Wang, Zhu
, Lin, Yuan
, Huang, Yang
, Ming-De, Lu
, Hang-Tong, Hu
, Li-Da, Chen
in
Cholangiocarcinoma
/ Diagnostic systems
/ Hepatocellular carcinoma
/ Liver
/ Liver cancer
/ Radiology
/ Risk groups
/ Sensitivity
/ Ultrasonic imaging
/ Ultrasound
2019
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Comparison between M-score and LR-M in the reporting system of contrast-enhanced ultrasound LI-RADS
Journal Article
Comparison between M-score and LR-M in the reporting system of contrast-enhanced ultrasound LI-RADS
2019
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Overview
ObjectiveTo develop a contrast-enhanced ultrasound (CEUS) M-score and compare it with LR-M in CEUS Liver Imaging Reporting and Data System (LI-RADS).MethodsWe retrospectively enrolled 105 consecutive high-risk patients with hepatocellular carcinoma (HCC) and 105 with intrahepatic cholangiocarcinoma (ICC). The subjects were selected by propensity score matching between November 2003 and December 2017. A CEUS M-score for predicting ICC was constructed based on specific CEUS features by the least absolute shrinkage and selection operator regularised regression. M-score was used to develop a modified CEUS LI-RADS. The diagnostic performance of the modified CEUS LI-RADS using M-score for diagnosing HCC and ICC was compared with American College of Radiology (ACR) CEUS LI-RADS using LR-M.ResultsThe most useful features for ICC were as follows: poorly circumscribed (69.52%), rim enhancement (63.81%), early washout (92.38%), intratumoural vein (56.19%), obscure boundary of intratumoural non-enhanced area (57.14%), and marked washout (59.05%, all p < 0.001). For predicting ICC, the M-score had a higher specificity (88.57% vs. 63.81%) with lower sensitivity (89.52% vs. 95.24%) compared with LR-M. For diagnosing HCC, the sensitivity of modified LI-RADS (80.95%) was much higher than that of ACR LI-RADS (57.14%), but the specificity was lower (90.48% vs. 96.19%). The area under the curve (AUC) of modified LI-RADS (0.857) was much higher than that of ACR LI-RADS (0.767, p = 0.0001). The modified positive predictive value (PPV) of ACR LI-RADS and modified LI-RADS were 99.42% and 98.99%, respectively.ConclusionsThe modified LI-RADS with M-score had higher sensitivity for diagnosing HCC and higher specificity for diagnosing ICC than ACR LI-RADS.Key Points• For predicting ICC, the M-score had a higher specificity (88.57% vs. 63.81%) with lower sensitivity (89.52% vs. 95.24%) compared with LR-M.• A CEUS M-score for predicting ICC consisted of more detailed CEUS features (poorly circumscribed, rim enhancement, early washout, intratumoural vein, obscure boundary of intratumoural non-enhanced area, and marked washout) was constructed.• For diagnosing HCC, the sensitivity of modified LI-RADS (80.95%) was much higher than that of ACR LI-RADS (57.14%), but the specificity was lower (90.48% vs. 96.19%). The modified positive predictive value (PPV) of ACR LI-RADS and modified LI-RADS were 99.42% and 98.99%, respectively.
Publisher
Springer Nature B.V
Subject
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