Literature DB >> 26885632

Liver Imaging Reporting and Data System v2014 With Gadoxetate Disodium-Enhanced Magnetic Resonance Imaging: Validation of LI-RADS Category 4 and 5 Criteria.

Sang Hyun Choi1, Jae Ho Byun, So Yeon Kim, So Jung Lee, Hyung Jin Won, Yong Moon Shin, Pyo Nyun Kim.   

Abstract

OBJECTIVES: The aim of this study was to validate the Liver Imaging Reporting and Data System (LI-RADS) v2014 category 4 (LR-4) and 5 (LR-5) criteria on gadoxetate disodium-enhanced magnetic resonance imaging (MRI) in patients with chronic liver disease.
MATERIALS AND METHODS: Between January and December 2012, 300 patients with chronic liver disease who had hepatic nodules 3.0 cm or smaller at surveillance ultrasonography and gadoxetate disodium-enhanced MRI were included. LI-RADS category was retrospectively assigned to each nodule on MRI. Final diagnosis was assessed using pathologic diagnosis only (operation or core-needle biopsy) or pathologic and clinical diagnosis (marginal recurrence after treatment or a change in lesion size on follow-up imaging). To validate the LR-4 and LR-5 criteria, the sensitivity, positive predictive value (PPV), and false referral rate for diagnosing hepatocellular carcinoma were examined.
RESULTS: Based on major imaging features only, 137 nodules were initially assigned as LR-3, but 133 (97.1%) were upgraded into LR-4 by the presence of ancillary features. Excluding the remaining 4 LR-3 and 3 LR-M nodules, we analyzed 379 nodules in 294 patients, consisting of 211 LR-4 and 168 LR-5 nodules. Using pathologic diagnosis only, the sensitivity and PPV with 95% confidence intervals (CIs) for LR-5 were higher than those for LR-4 (57.3% [50.6-63.7] vs 42.7% [36.3-49.4]; 94.6% [89.0-97.5] vs 82.0% [73.7-88.1]), with a lower false referral rate (5.4% [2.5-11.0] vs 18.0% [11.9-26.3]). Using pathologic and clinical diagnosis, PPV and 95% CI for LR-5 were higher than that for LR-4 (95.2% [90.7-97.7] vs 79.1% [73.1-84.1]), whereas sensitivity and 95% CI for LR-5 was similar to that for LR-4 (48.9% [43.6-54.3] vs 51.1% [45.7-56.4]).
CONCLUSIONS: In patients with chronic liver disease, LR-5 criteria on gadoxetate disodium-enhanced MRI had excellent PPV for diagnosing hepatocellular carcinoma, whereas LR-4 criteria showed good PPV, but are only of limited use.

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Year:  2016        PMID: 26885632     DOI: 10.1097/RLI.0000000000000258

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  19 in total

1.  Longitudinal evolution of CT and MRI LI-RADS v2014 category 1, 2, 3, and 4 observations.

Authors:  Cheng William Hong; Charlie C Park; Adrija Mamidipalli; Jonathan C Hooker; Soudabeh Fazeli Dehkordy; Saya Igarashi; Mohanad Alhumayed; Yuko Kono; Rohit Loomba; Tanya Wolfson; Anthony Gamst; Paul Murphy; Claude B Sirlin
Journal:  Eur Radiol       Date:  2019-02-26       Impact factor: 5.315

2.  Retrospective validation of a new diagnostic criterion for hepatocellular carcinoma on gadoxetic acid-enhanced MRI: can hypointensity on the hepatobiliary phase be used as an alternative to washout with the aid of ancillary features?

Authors:  Ijin Joo; Jeong Min Lee; Dong Ho Lee; Ju Hyeon Jeon; Joon Koo Han
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

3.  Comparison between M-score and LR-M in the reporting system of contrast-enhanced ultrasound LI-RADS.

Authors:  Li-Da Chen; Si-Min Ruan; Yuan Lin; Jin-Yu Liang; Shun-Li Shen; Hang-Tong Hu; Yang Huang; Wei Li; Zhu Wang; Xiao-Yan Xie; Ming-De Lu; Ming Kuang; Wei Wang
Journal:  Eur Radiol       Date:  2018-12-19       Impact factor: 5.315

Review 4.  Pitfalls and problems to be solved in the diagnostic CT/MRI Liver Imaging Reporting and Data System (LI-RADS).

Authors:  Yeun-Yoon Kim; Jin-Young Choi; Claude B Sirlin; Chansik An; Myeong-Jin Kim
Journal:  Eur Radiol       Date:  2018-08-16       Impact factor: 5.315

5.  Diagnostic accuracy of prospective application of the Liver Imaging Reporting and Data System (LI-RADS) in gadoxetate-enhanced MRI.

Authors:  Yeun-Yoon Kim; Chansik An; Sungwon Kim; Myeong-Jin Kim
Journal:  Eur Radiol       Date:  2017-12-11       Impact factor: 5.315

6.  Characterization of liver nodules in patients with chronic liver disease by MRI: performance of the Liver Imaging Reporting and Data System (LI-RADS v.2018) scale and its comparison with the Likert scale.

Authors:  Andrea Esposito; Valentina Buscarino; Dario Raciti; Elena Casiraghi; Matteo Manini; Pietro Biondetti; Laura Forzenigo
Journal:  Radiol Med       Date:  2019-10-05       Impact factor: 3.469

7.  LI-RADS v2014 categorization of hepatocellular carcinoma: Intraindividual comparison between gadopentetate dimeglumine-enhanced MRI and gadoxetic acid-enhanced MRI.

Authors:  Ji Soo Song; Eun Jung Choi; Seung Bae Hwang; Hong Pil Hwang; HyeMi Choi
Journal:  Eur Radiol       Date:  2018-06-19       Impact factor: 5.315

Review 8.  Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review.

Authors:  An Tang; Mustafa R Bashir; Michael T Corwin; Irene Cruite; Christoph F Dietrich; Richard K G Do; Eric C Ehman; Kathryn J Fowler; Hero K Hussain; Reena C Jha; Adib R Karam; Adrija Mamidipalli; Robert M Marks; Donald G Mitchell; Tara A Morgan; Michael A Ohliger; Amol Shah; Kim-Nhien Vu; Claude B Sirlin
Journal:  Radiology       Date:  2017-11-21       Impact factor: 11.105

Review 9.  Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients.

Authors:  Victoria Chernyak; Kathryn J Fowler; Aya Kamaya; Ania Z Kielar; Khaled M Elsayes; Mustafa R Bashir; Yuko Kono; Richard K Do; Donald G Mitchell; Amit G Singal; An Tang; Claude B Sirlin
Journal:  Radiology       Date:  2018-09-25       Impact factor: 11.105

10.  Validation of the Liver Imaging Reporting and Data System Treatment Response Criteria After Thermal Ablation for Hepatocellular Carcinoma.

Authors:  Katherine S Cools; Andrew M Moon; Lauren M B Burke; Katrina A McGinty; Paula D Strassle; David A Gerber
Journal:  Liver Transpl       Date:  2019-12-20       Impact factor: 5.799

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