Literature DB >> 30809719

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

Cheng William Hong1, Charlie C Park2, Adrija Mamidipalli1, Jonathan C Hooker1, Soudabeh Fazeli Dehkordy1, Saya Igarashi1, Mohanad Alhumayed1, Yuko Kono3, Rohit Loomba3, Tanya Wolfson4, Anthony Gamst4, Paul Murphy1, Claude B Sirlin5.   

Abstract

OBJECTIVES: This study assesses the risk of progression of Liver Imaging Reporting and Data System (LI-RADS) categories, and the effects of inter-exam changes in modality or radiologist on LI-RADS categorization.
METHODS: Clinical LI-RADS v2014 CT and MRI exams at our institution between January 2014 and September 2017 were retrospectively identified. Untreated LR-1, LR-2, LR-3, and LR-4 observations with at least one follow-up exam were included. Three hundred and seventy-two observations in 214 patients (149 male, 65 female, mean age 61 ± 10 years) were included during the study period (715 exams total). Cumulative incidence curves for progression to malignant LI-RADS categories (LR-5 or LR-M) and to LR-4 or higher were generated for each index category and compared using log-rank tests with a resampling extension. Relationships between inter-exam changes in LI-RADS category and modality or radiologist, adjusted for inter-exam time intervals, were modeled using mixed effect logistic regressions.
RESULTS: Median inter-exam follow-up interval and total follow-up duration were 123 and 227 days, respectively. Index LR-1, LR-2, LR-3, and LR-4 differed significantly in their cumulative incidences of progression to malignant categories (p < 0.0001), which were 0%, 2%, 7%, and 32% at 6 months, respectively. Index LR-1, LR-2, and LR-3 differed significantly in cumulative incidences of progression to LR-4 or higher (p = 0.003). MRI-MRI exam pairs had more stable LI-RADS categorization compared to CT-CT (OR = 0.460, p = 0.0018).
CONCLUSIONS: LI-RADS observations demonstrate increasing risk of progression to malignancy with increasing category ranging from 0% for LR-1 to 32% for LR-4 at 6 months. Inter-exam modality changes are associated with LI-RADS category changes. KEY POINTS: • While the majority of LR-2 observations remain stable over long-term follow-up, LR-3 and especially LR-4 observations have a higher risk for category progression. • Category transitions between sequential exams using different modalities (CT vs. MRI) may reflect modality differences rather than biological change. MRI, especially with the same type of contrast agent, may provide the most reproducible categorization, although this needs additional validation. • In a clinical practice setting, in which radiologists refer to prior imaging and reports, there was no significant association between changes in radiologist and changes in LI-RADS categorization.

Entities:  

Keywords:  Hepatic neoplasms; Hepatocellular carcinoma; Liver; Longitudinal studies; Observer variation

Mesh:

Year:  2019        PMID: 30809719     DOI: 10.1007/s00330-019-06058-2

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  27 in total

1.  Liver Imaging Reporting and Data System:: Substantial Discordance Between CT and MR for Imaging Classification of Hepatic Nodules.

Authors:  Yu-Dong Zhang; Fei-Peng Zhu; Xun Xu; Qing Wang; Chen-Jiang Wu; Xi-Sheng Liu; Hai-Bin Shi
Journal:  Acad Radiol       Date:  2016-01-07       Impact factor: 3.173

Review 2.  Cognitive and system factors contributing to diagnostic errors in radiology.

Authors:  Cindy S Lee; Paul G Nagy; Sallie J Weaver; David E Newman-Toker
Journal:  AJR Am J Roentgenol       Date:  2013-09       Impact factor: 3.959

3.  Indeterminate observations (liver imaging reporting and data system category 3) on MRI in the cirrhotic liver: fate and clinical implications.

Authors:  Jin-Young Choi; Hyun Cheol Cho; Mark Sun; Hyeon Chang Kim; Claude B Sirlin
Journal:  AJR Am J Roentgenol       Date:  2013-11       Impact factor: 3.959

4.  Classifying CT/MR findings in patients with suspicion of hepatocellular carcinoma: Comparison of liver imaging reporting and data system and criteria-free Likert scale reporting models.

Authors:  Yu-Dong Zhang; Fei-Peng Zhu; Xun Xu; Qing Wang; Chen-Jiang Wu; Xi-Sheng Liu; Hai-Bin Shi
Journal:  J Magn Reson Imaging       Date:  2015-06-26       Impact factor: 4.813

5.  New OPTN/UNOS policy for liver transplant allocation: standardization of liver imaging, diagnosis, classification, and reporting of hepatocellular carcinoma.

Authors:  Christoph Wald; Mark W Russo; Julie K Heimbach; Hero K Hussain; Elizabeth A Pomfret; Jordi Bruix
Journal:  Radiology       Date:  2013-02       Impact factor: 11.105

6.  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

7.  Repeatability of diagnostic features and scoring systems for hepatocellular carcinoma by using MR imaging.

Authors:  Matthew S Davenport; Shokoufeh Khalatbari; Peter S C Liu; Katherine E Maturen; Ravi K Kaza; Ashish P Wasnik; Mahmoud M Al-Hawary; Daniel I Glazer; Erica B Stein; Jeet Patel; Deepak K Somashekar; Benjamin L Viglianti; Hero K Hussain
Journal:  Radiology       Date:  2014-02-18       Impact factor: 11.105

8.  Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction.

Authors:  Michael A Bruno; Eric A Walker; Hani H Abujudeh
Journal:  Radiographics       Date:  2015-10       Impact factor: 5.333

9.  Added Value of a Gadoxetic Acid-enhanced Hepatocyte-phase Image to the LI-RADS System for Diagnosing Hepatocellular Carcinoma.

Authors:  Ningxin Chen; Utaroh Motosugi; Hiroyuki Morisaka; Shintaro Ichikawa; Katsuhiro Sano; Tomoaki Ichikawa; Masanori Matsuda; Hideki Fujii; Hiroshi Onishi
Journal:  Magn Reson Med Sci       Date:  2015-06-23       Impact factor: 2.471

10.  Effects of mid-point imputation on the analysis of doubly censored data.

Authors:  C G Law; R Brookmeyer
Journal:  Stat Med       Date:  1992-09-15       Impact factor: 2.373

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  2 in total

1.  Risk of Hepatocellular Carcinoma in Patients With Indeterminate (LI-RADS 3) Liver Observations.

Authors:  Ashwini Arvind; Sagar Joshi; Timothy Zaki; Daniel Burkholder; Neehar D Parikh; Amit G Singal
Journal:  Clin Gastroenterol Hepatol       Date:  2021-12-10       Impact factor: 13.576

2.  Potential of a Non-Contrast-Enhanced Abbreviated MRI Screening Protocol (NC-AMRI) in High-Risk Patients under Surveillance for HCC.

Authors:  François Willemssen; Quido de Lussanet de la Sablonière; Daniel Bos; Jan IJzermans; Robert De Man; Roy Dwarkasing
Journal:  Cancers (Basel)       Date:  2022-08-17       Impact factor: 6.575

  2 in total

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