Using MRI to non-invasively and accurately quantify preoperative hepatic steatosis. HPB (Oxford) 2017 Aug;19(8):706-712
Date
05/22/2017Pubmed ID
28528267DOI
10.1016/j.hpb.2017.04.009Scopus ID
2-s2.0-85020090602 (requires institutional sign-in at Scopus site) 4 CitationsAbstract
BACKGROUND: The obesity epidemic has significantly increased the incidence and severity of hepatic steatosis in liver surgery patients and liver donors, potentially impacting postoperative liver regeneration and function. Development of a non-invasive means to quantify hepatic steatosis would facilitate selection of candidates for liver resection and transplant donation.
METHODS: An IRB-approved protocol prospectively enrolled 28 patients with liver tumors requiring hepatic resection. In all patients, fast dual-echo gradient-echo MR images were acquired using 2-Point Dixon technique in 2D and 3D. The degree of steatosis was quantified by percent fat fraction (%FF) from in- and out-of-phase, and water-only and fat-only images. The technique-specific %FFs were compared to intraoperative and histopathological findings.
RESULTS: For patients with >30% steatosis by histology, the mean %FF was 22% (SD ± 5.2%) compared to a mean %FF of 5.0% (SD ± 2.1%, p = 0.0001) in patients with <30% steatosis. Using scaled values for the MR-calculated %FF, all patients with >30% pathologic steatosis could be identified preoperatively.
CONCLUSIONS: Quantitative MRI identified patients with clinically-relevant steatosis with 100% accuracy. These findings could have significant impact on the management of liver resection patients and transplant donors.
Author List
Clarke CN, Choi H, Hou P, Davis CH, Ma J, Rashid A, Vauthey JN, Aloia TAAuthor
Callisia N. Clarke MD Chief, Associate Professor in the Surgery department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AdultBiopsy
Feasibility Studies
Female
Humans
Liver Function Tests
Liver Neoplasms
Magnetic Resonance Imaging
Male
Middle Aged
Non-alcoholic Fatty Liver Disease
Observer Variation
Predictive Value of Tests
Prospective Studies
Reproducibility of Results
Severity of Illness Index