@article{bb17732291c84101b9116b60e7033d96,
title = "How Do Different Indices of Hepatic Enhancement with Gadoxetic Acid Compare in Predicting Liver Failure and Other Major Complications after Hepatectomy?",
abstract = "Objective The objective of this study was to assess the accuracy of gadoxetic acid hepatic enhancement indices in predicting posthepatectomy liver failure (PHLF) and other major complications (OMCs). Methods Sixty-five patients underwent prehepatectomy gadoxetic acid-enhanced magnetic resonance imaging. Enhancement indices were calculated by obtaining regions of interest on magnetic resonance images and segmented volumes of the liver and spleen. Multivariate regression analysis was performed to predict PHLF and OMC as a function of the indices, and areas under the receiver operator characteristic (AUROC) curves were calculated. Results Areas under the receiver operator characteristic values varied from 0.412 to 0.681 and 0.462 to 0.738 in predicting PHLF and OMC, respectively. The most accurate indices in predicting PHLF were the region of interest-based, fat-normalized relative liver enhancement and liver enhancement index (AUROC, 0.681). The most accurate index in predicting OMC was the volumetric least-squares regression slope of a pharmacokinetic model (Khep-V, AUROC, 0.738). Conclusions Indices of gadoxetic acid liver enhancement demonstrate variable performance in predicting PHLF and OMC.",
keywords = "gadoxetic acid (Gd-EOB DTPA), hepatectomy, liver function, posthepatectomy liver failure",
author = "Costa, {Andreu F.} and {Tremblay St-Germain}, Am{\'e}lie and Mohamed Abdolell and Smoot, {Rory L.} and Sean Cleary and Jhaveri, {Kartik S.}",
note = "Funding Information: From the *Joint Department of Medical Imaging, University Health Network and Mount Sinai Hospital, University of Toronto; †Department of Diagnostic Radiology, QE II Health Sciences Centre, Dalhousie University, Halifax; ‡Division of Hepatobiliary Surgery, Department of Surgery, University Health Network, University of Toronto, Canada; and §Department of Surgery, Mayo Clinic, Rochester, MN. Received for publication June 19, 2017; accepted August 7, 2017. Correspondence to: Andreu F. Costa, MD, MSc, FRCPC, Department of Diagnostic Radiology, QEII Health Sciences Centre, Victoria General site, 3rd floor, Halifax, Nova Scotia, M5G 2M9 Canada (e‐mail: andreufcosta@gmail.com). Kartik Jhaveri declares that he has received speaker honorariums from Bayer Canada and Siemens Canada, holds grant funding from Bayer AG, and has research collaborations with Siemens. These affiliations have no direct bearing on the work presented herein. We confirm that Dr Jhaveri did not partake in the data collection and analysis. All other authors confirm that there are no conflicts of interest to declare. Copyright {\textcopyright} 2017 Wolters Kluwer Health, Inc. All rights reserved. DOI: 10.1097/RCT.0000000000000691 Publisher Copyright: {\textcopyright} 2017 Wolters Kluwer Health, Inc. All rights reserved.",
year = "2018",
month = may,
day = "1",
doi = "10.1097/rct.0000000000000691",
language = "English (US)",
volume = "42",
pages = "380--386",
journal = "Journal of computer assisted tomography",
issn = "0363-8715",
publisher = "Lippincott Williams and Wilkins",
number = "3",
}