Literature DB >> 28853673

Differentiation of Hepatocellular Carcinoma from Other Hepatic Malignancies in Patients at Risk: Diagnostic Performance of the Liver Imaging Reporting and Data System Version 2014.

Tyler J Fraum1, Richard Tsai1, Eric Rohe1, Daniel R Ludwig1, Amber Salter1, ILKe Nalbantoglu1, Jay P Heiken1, Kathryn J Fowler1.   

Abstract

Purpose To evaluate the diagnostic performance and interrater reliability of the Liver Imaging Reporting and Data System (LI-RADS) version 2014 in differentiating hepatocellular carcinoma (HCC) from non-HCC malignancy in a population of patients at risk for HCC. Materials and Methods This retrospective HIPAA-compliant institutional review board-approved study was exempt from informed consent. A total of 178 pathology-proven malignant liver masses were identified in 178 patients at risk for HCC but without established extrahepatic malignancy from August 2012 through August 2015. Two readers blinded to pathology findings and clinical follow-up data independently evaluated a liver protocol magnetic resonance or computed tomography study for each lesion and assigned LI-RADS categories, scoring all major and most ancillary features. Statistical analyses included the independent samples t test, x2 test, Fisher exact test, and Cohen k. Results This study included 136 HCCs and 42 non-HCC malignancies. Specificity and positive predictive value of an HCC imaging diagnosis (LR-5 or LR-5V) were 69.0% and 90.5%, respectively, for reader 1 (R1) and 88.3% and 95.5%, respectively, for reader 2 (R2). Tumor in vein was a common finding in patients with non-HCC malignancies (R1, 10 of 42 [23.8%]; R2, five of 42 [11.9%]). Exclusion of the LR-5V pathway improved specificity and positive predictive value for HCC to 83.3% and 92.9%, respectively, for R1 (six fewer false-positive findings) and 92.3% and 96.4%, respectively, for R2 (one fewer false-positive finding). Among masses with arterial phase hyperenhancement, the rim pattern was more common among non-HCC malignancies than among HCCs for both readers (R1: 24 of 36 [66.7%] vs 13 of 124, [10.5%], P < .001; R2: 27 of 35 [77.1%] vs 21 of 123 [17.1%], P < .001) (k = 0.76). Exclusion of rim arterial phase hyperenhancement as a means of satisfying LR-5 criteria also improved specificity and positive predictive value for HCC (R1, two fewer false-positive findings). Conclusion Modification of the algorithmic role of tumor in vein and rim arterial phase hyperenhancement improves the diagnostic performance of LI-RADS version 2014 in differentiating HCC from non-HCC malignancy. © RSNA, 2017 Online supplemental material is available for this article.

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Year:  2017        PMID: 28853673     DOI: 10.1148/radiol.2017170114

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  29 in total

1.  Combined hepatocellular cholangiocarcinoma: LI-RADS v2017 categorisation for differential diagnosis and prognostication on gadoxetic acid-enhanced MR imaging.

Authors:  Sun Kyung Jeon; Ijin Joo; Dong Ho Lee; Sang Min Lee; Hyo-Jin Kang; Kyoung-Bun Lee; Jeong Min Lee
Journal:  Eur Radiol       Date:  2018-06-28       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

Review 3.  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

Review 4.  Joint Consensus Statement of the Indian National Association for Study of the Liver and Indian Radiological and Imaging Association for the Diagnosis and Imaging of Hepatocellular Carcinoma Incorporating Liver Imaging Reporting and Data System.

Authors:  Sonal Krishan; Radha K Dhiman; Navin Kalra; Raju Sharma; Sanjay S Baijal; Anil Arora; Ajay Gulati; Anu Eapan; Ashish Verma; Shyam Keshava; Amar Mukund; S Deva; Ravi Chaudhary; Karthick Ganesan; Sunil Taneja; Ujjwal Gorsi; Shivanand Gamanagatti; Kumble S Madhusudan; Pankaj Puri; Shallini Govil; Manav Wadhavan; Sanjiv Saigal; Ashish Kumar; Shallini Thapar; Ajay Duseja; Neeraj Saraf; Anubhav Khandelwal; Sumit Mukhopadyay; Ajay Gulati; Nitin Shetty; Nipun Verma
Journal:  J Clin Exp Hepatol       Date:  2019-08-06

5.  How to utilize LR-M features of the LI-RADS to improve the diagnosis of combined hepatocellular-cholangiocarcinoma on gadoxetate-enhanced MRI?

Authors:  Hong Seon Lee; Myeong-Jin Kim; Chansik An
Journal:  Eur Radiol       Date:  2018-12-14       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.  Gadoxetic acid-enhanced MRI for diagnosis of hepatocellular carcinoma in patients with chronic liver disease: can hypointensity on the late portal venous phase be used as an alternative to washout?

Authors:  Kyoung A Baek; Seung Soo Kim; Hyeong Cheol Shin; Jeong Ah Hwang; Seo-Youn Choi; Woong Hee Lee; Chan Ho Park; Hyoung Nam Lee; Nam Hun Heo
Journal:  Abdom Radiol (NY)       Date:  2020-09

8.  Hepatocellular carcinoma (HCC) versus non-HCC: accuracy and reliability of Liver Imaging Reporting and Data System v2018.

Authors:  Daniel R Ludwig; Tyler J Fraum; Roberto Cannella; David H Ballard; Richard Tsai; Muhammad Naeem; Maverick LeBlanc; Amber Salter; Allan Tsung; Anup S Shetty; Amir A Borhani; Alessandro Furlan; Kathryn J Fowler
Journal:  Abdom Radiol (NY)       Date:  2019-06

Review 9.  Updates on Imaging of Liver Tumors.

Authors:  Arya Haj-Mirzaian; Ana Kadivar; Ihab R Kamel; Atif Zaheer
Journal:  Curr Oncol Rep       Date:  2020-04-16       Impact factor: 5.075

10.  LI-RADS v2017 categorisation of HCC using CT: Does moderate to severe fatty liver affect accuracy?

Authors:  Seung Soo Kim; Jeong Ah Hwang; Hyeong Cheol Shin; Seo-Youn Choi; Tae Wook Kang; Sung Shick Jou; Woong Hee Lee; Suyeon Park; Nam Hun Heo
Journal:  Eur Radiol       Date:  2018-08-02       Impact factor: 5.315

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