Andrea Siobhan Kierans 1, Jasnit S. Makkar2, Joshua Cornman-Homonoff1, Preethi Guniganti1, and Elizabeth M Hecht2
1Radiology, Well Cornell Medical Center, New york, NY, United States, 2Columbia university medical center, New york, NY, United States
Synopsis
The aim of our investigation is to assess the diagnostic accuracy of the LI-RADS 2017 criteria at two institutions using
multiple readers with varying levels of experience with explant or imaging
follow-up as the reference standard. Radiology databases from two academic institutions were searched (2013-2014)
for patients with a clinical diagnosis of chronic liver
disease and at least one
reported hepatic observation on dynamic contrast enhanced CT or MRI. This yielded a final cohort of 103
patients with 141 hepatic observations. Two radiologists reviewed the imaging independently and assigned a LI-RADs category to each observation. Inter-reader reliability for LI-RAD assessment was moderate (ICC = 0.63). Sensitivity of LI-RADs categorization for diagnosing HCC was 62% and 59% and specificity was 96% and 84% for reader 1 and 2 respectively.
LI-RADs categorization using gadoxetate disodium
MR demonstrated higher specificity for HCC diagnosis for reader 2, than MR with
extracellular agent.
Introduction
The Liver
Imaging Reporting and Data System (LI-RADs) criteria, provides a standardized
lexicon and categorizes lesions on an ordinal scale to relay the likelihood of hepatocellular
carcinoma (HCC) on imaging (1,2). Initially launched in 2011, the most recent
update was performed in 2017, and includes changes to LR categories and
criteria (1,2). However, despite being adopted by many, few studies have
performed validation of LI-RADS criteria, with current studies limited by
single-center cohorts without standardized MR parameters (3-5).
Therefore, the aim of our investigation is to assess the diagnostic accuracy of LI-RADS 2017
criteria at two institutions using multiple readers with varying levels of
experience with explant or imaging follow-up as the reference standard. Methods
In this IRB approved retrospective study with waiver of
consent, radiology databases from two academic institutions were searched for
patients with a clinical diagnosis of chronic liver
disease and at least one
reported hepatic observation on dynamic contrast enhanced CT or MRI performed
between 2013-14. CT and MRI images were performed on different scanners with
protocols and technical parameters in accordance with LI-RADs 2017
specifications. MRI was performed with either weight-based extracellular
contrast (n = 76) or fixed dose hepatobiliary contrast (n = 49). Explant
histopathology or biopsy results were reviewed and correlated with imaging
findings by the study coordinator, a board certified abdominal radiologist not
involved in study interpretations in consultation with a hepatobiliary
pathologist (3 yrs experience). Lesions that were completely necrotic and without residual findings to
confirm HCC at pathology were excluded. In patients
without pathology (n=45), MRI or CT follow-up for at least two years was used
as the reference standard. This yielded a final cohort of 103 patients with 141
hepatic observations. Two
board certified, fellowship trained abdominal radiologists
(R1>15 yrs, R2>2 yrs
experience) reviewed the imaging independently in a blinded fashion on a PACS workstation,
assigned a LR category, and evaluated major and ancillary features using a
standardized worksheet with location maps provided for lesion identification. Statistical
analysis included Intraclass correlation for readers, sensitivity, specificity,
NPV, PPV and diagnostic
accuracy of LI-RADS category per reader.Results
16 observations were evaluated with CT and 125 with
MRI. The final diagnoses were: 68 HCCs, 2 intrahepatic cholangiocarcinomas, 2
epitheliod hemangioendotheliomas, 1 fibrolamellar HCC, and 68 benign lesions
(23 on pathology and 45 on follow-up imaging). Considering all categories, agreement for LI-RADS category assignment
was good with ICC of 0.63 (95% CI: 0.49, 0.71). Based on the expert reader’s
(R1) interpretations, none of the 16 LI-RADS category 1 or 2 observations, 8/53
(15%) of 53 category 3 observations, 15/21 (71%) category 4 observations, 36/38
(95%) category 5 lesions, 6/7 (86%) category LR-TIV observations, and 3/6 (50%)
category LR-M observations were diagnosed as HCC. Table 1 shows the diagnostic
performance of the two readers. Sensitivity was increased and specificity
decreased for both readers when using LR 4 and 5 together as definitive for HCC
compared to LR5 only. LI-RADs categorization using gadoxetate disodium MR
demonstrated higher specificity for HCC diagnosis for R2, than MR with
extracellular agent.Conclusions
The
observed inter-reader reliability is slightly lower than what has been observed
in previous studies (6), however, our study cohort represents consecutive
patients presented in a fashion that would be encountered in real world
clinical practice with radiologists of different experience levels. The
observed diagnostic accuracy is comparable to a prior study which evaluated ≤ 20 mm lesions detected on antecedent
ultrasound, however, the higher sensitivity in our study is likely due to
inclusion of all observations regardless of size (4). LI-RADS categorization
with gadoxetate disodium for R2 demonstrated improved specificity and similar
sensitivity than with extracellular agents and therefore, gadoxetate disodium may
have the potential to provide increased diagnostic accuracy for more
inexperienced readers. Acknowledgements
No acknowledgement found.References
References: [1] Mitchell DG et al. Hepatology 2015;61(3):1056-65. [2] Elsayes KM et al. J Hepatocell Carcinoma 2017;4:29-39 [3]
Ehman EC et al. Abdominal Radiology 2016;41(5):963-9
[4] Darnell A et al. Radiology 2015;275(3):698-707 [5] Choi SH et al. Investigative radiology. 2016;51(8):483-90. [6]
Fowler KJ, et al. Radiology 2017;[Epub ahead of print].