Literature DB >> 35523888

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

Jong Keon Jang1, Sang Hyun Choi1, Jae Ho Byun2, Seo Young Park3, So Jung Lee1, So Yeon Kim1, Hyung Jin Won1, Yong Moon Shin1, Pyo-Nyun Kim1.   

Abstract

PURPOSE: We aimed to determine a new strategy for Liver Imaging Reporting and Data System category M (LR-M) criteria to improve the diagnosis of HCC ≤ 3.0 cm on magnetic resonance imaging (MRI).
METHODS: A total of 463 pathologically confirmed hepatic observations ≤ 3.0 cm (375 HCCs, 32 other malignancies, 56 benignities) in 384 patients at risk of HCC who underwent gadoxetate-enhanced MRI were retrospectively analyzed. Two radiologists evaluated the presence of major, ancillary, and LR-M features according to LI-RADS v2018. Of the ten LR-M features, those significantly associated with non-HCC malignancy were identified using multivariable logistic regression analysis, and new LR-M criteria for improving the diagnosis of HCC were investigated. Generalized estimating equations were used to compare sensitivity and specificity of LR-5 for diagnosing HCC using the new LR-M criteria with values calculated using the original LR-M criteria. p < 0.05 was considered to indicate a significant difference.
RESULTS: Of ten LR-M features, rim arterial-phase hyperenhancement, delayed central enhancement, targetoid restriction, and targetoid transitional-phase/hepatobiliary-phase appearance were independently significantly associated with non-HCC malignancy (adjusted odds ratio ≥ 6.2; p ≤ 0.02). Using the new LR-M criteria (two or more of these significant features), the sensitivity of LR-5 for diagnosing HCC was higher than that with the original LR-M criteria (69% [95% confidence interval 64-73%] vs. 65% [61-70%], p = 0.002), whereas the specificity was similar (90% [82-95%] vs. 92% [83-96%], p = 0.28).
CONCLUSION: The new LR-M criteria (two or more significant features) can improve the sensitivity of LR-5 for diagnosing HCC ≤ 3.0 cm, without compromising specificity.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Accuracy; Diagnosis; Hepatocellular carcinoma; Liver Imaging Reporting and Data System; Magnetic resonance imaging

Mesh:

Substances:

Year:  2022        PMID: 35523888     DOI: 10.1007/s00261-022-03538-w

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  17 in total

1.  Diagnostic criteria for hepatocellular carcinoma ⩽3 cm with hepatocyte-specific contrast-enhanced magnetic resonance imaging.

Authors:  Sang Hyun Choi; Jae Ho Byun; Young-Suk Lim; Eunsil Yu; So Jung Lee; So Yeon Kim; Hyung Jin Won; Yong Moon Shin; Pyo Nyun Kim
Journal:  J Hepatol       Date:  2016-01-25       Impact factor: 25.083

2.  Meta-analysis of the accuracy of Liver Imaging Reporting and Data System category 4 or 5 for diagnosing hepatocellular carcinoma.

Authors:  Dong Hwan Kim; Sang Hyun Choi; Seong Ho Park; Kyung Won Kim; Jae Ho Byun; So Yeon Kim; Seung Soo Lee; Yong Moon Shin; Hyung Jin Won; Pyo-Nyun Kim
Journal:  Gut       Date:  2019-07-12       Impact factor: 23.059

3.  LI-RADS (Liver Imaging Reporting and Data System): summary, discussion, and consensus of the LI-RADS Management Working Group and future directions.

Authors:  Donald G Mitchell; Jordi Bruix; Morris Sherman; Claude B Sirlin
Journal:  Hepatology       Date:  2014-12-12       Impact factor: 17.425

4.  Guidelines for the diagnosis and management of intrahepatic cholangiocarcinoma.

Authors:  John Bridgewater; Peter R Galle; Shahid A Khan; Josep M Llovet; Joong-Won Park; Tushar Patel; Timothy M Pawlik; Gregory J Gores
Journal:  J Hepatol       Date:  2014-03-27       Impact factor: 25.083

5.  Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases.

Authors:  Jorge A Marrero; Laura M Kulik; Claude B Sirlin; Andrew X Zhu; Richard S Finn; Michael M Abecassis; Lewis R Roberts; Julie K Heimbach
Journal:  Hepatology       Date:  2018-08       Impact factor: 17.425

6.  Combined hepatocellular and cholangiocarcinoma (biphenotypic) tumors: imaging features and diagnostic accuracy of contrast-enhanced CT and MRI.

Authors:  Kathryn J Fowler; Arman Sheybani; Rex A Parker; Sean Doherty; Elizabeth M Brunt; William C Chapman; Christine O Menias
Journal:  AJR Am J Roentgenol       Date:  2013-08       Impact factor: 3.959

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

Authors:  Dong Hwan Kim; Sang Hyun Choi; Seong Ho Park; Kyung Won Kim; Jae Ho Byun; So Yeon Kim; Seung Soo Lee; Yong Moon Shin; Hyung Jin Won; Pyo-Nyun Kim
Journal:  Liver Int       Date:  2020-03-15       Impact factor: 5.828

8.  Small hepatocellular carcinomas: improved sensitivity by combining gadoxetic acid-enhanced and diffusion-weighted MR imaging patterns.

Authors:  Min Jung Park; Young Kon Kim; Min Woo Lee; Won Jae Lee; Young-Sun Kim; Seong Hyun Kim; Dongil Choi; Hyunchul Rhim
Journal:  Radiology       Date:  2012-07-27       Impact factor: 11.105

9.  Accuracy of the Liver Imaging Reporting and Data System in Computed Tomography and Magnetic Resonance Image Analysis of Hepatocellular Carcinoma or Overall Malignancy-A Systematic Review.

Authors:  Christian B van der Pol; Christopher S Lim; Claude B Sirlin; Trevor A McGrath; Jean-Paul Salameh; Mustafa R Bashir; An Tang; Amit G Singal; Andreu F Costa; Kathryn Fowler; Matthew D F McInnes
Journal:  Gastroenterology       Date:  2018-11-13       Impact factor: 22.682

10.  Small Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma in Cirrhotic Livers May Share Similar Enhancement Patterns at Multiphase Dynamic MR Imaging.

Authors:  Bin Huang; Lu Wu; Xin-Yuan Lu; Feng Xu; Cai-Feng Liu; Wei-Feng Shen; Ning-Yang Jia; Hong-Yan Cheng; Ye-Fa Yang; Feng Shen
Journal:  Radiology       Date:  2016-04-14       Impact factor: 11.105

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.