Hepatic uptake index in the hepatobiliary phase of gadolinium ethoxybenzyl diethylenetriamine penta acetic acid-enhanced magnetic resonance imaging estimates functional liver reserve and predicts post-hepatectomy liver failure.


Journal

Surgery
ISSN: 1532-7361
Titre abrégé: Surgery
Pays: United States
ID NLM: 0417347

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 27 12 2019
revised: 15 04 2020
accepted: 15 04 2020
pubmed: 1 7 2020
medline: 12 11 2020
entrez: 1 7 2020
Statut: ppublish

Résumé

Recent evidence suggests that gadolinium ethoxybenzyl diethylenetriamine penta acetic acid-enhanced (Gd-EOB-DTPA) magnetic resonance imaging may be used to evaluate liver function. The aim of this study was to assess whether the signal intensity of Gd-EOB-DTPA magnetic resonance imaging may be used to predict functional liver reserve and posthepatectomy liver failure in patients undergoing hepatectomy for liver tumors. This is an observational retrospective study on 137 preoperative Gd-EOB-DTPA magnetic resonance imaging of patients undergoing hepatectomy between 2015 and 2018. Mean signal intensity of liver (L Patients with diseased liver had significantly lower values of hepatic uptake index in comparison with those with normal function. This was found for a Model for End-Stage Liver Disease score ≤9 versus >9 (P = .04), combination of bilirubin and cholinesterases levels score ≤2 versus >2 (P = .02), albumin to bilirubin grades (P = .03), and Humanitas score ≤6 versus >6 (P = .03). Twenty-two patients (16%) developed posthepatectomy liver failure, and 2 (1.4%) died within 90 days. The hepatocellular uptake index was significantly lower in those patients with posthepatectomy liver failure (P < .01). Receiver operating characteristics curve analysis revealed valuable hepatocellular uptake index ability in predicting post-hepatectomy liver failure (area under the curve = 0.84; 95% confidence interval, 0.71-0.92; P < .01), with a cutoff value of 574.33 (98% sensitivity; 83% specificity). The hepatocellular uptake index hepatocellular uptake index measured on preoperative Gd-EOB-DTPA magnetic resonance imaging identifies patients with diseased liver and predicts posthepatectomy liver failure. This index could be used to discern those patients at higher risk of complications after hepatectomy.

Sections du résumé

BACKGROUND BACKGROUND
Recent evidence suggests that gadolinium ethoxybenzyl diethylenetriamine penta acetic acid-enhanced (Gd-EOB-DTPA) magnetic resonance imaging may be used to evaluate liver function. The aim of this study was to assess whether the signal intensity of Gd-EOB-DTPA magnetic resonance imaging may be used to predict functional liver reserve and posthepatectomy liver failure in patients undergoing hepatectomy for liver tumors.
METHODS METHODS
This is an observational retrospective study on 137 preoperative Gd-EOB-DTPA magnetic resonance imaging of patients undergoing hepatectomy between 2015 and 2018. Mean signal intensity of liver (L
RESULTS RESULTS
Patients with diseased liver had significantly lower values of hepatic uptake index in comparison with those with normal function. This was found for a Model for End-Stage Liver Disease score ≤9 versus >9 (P = .04), combination of bilirubin and cholinesterases levels score ≤2 versus >2 (P = .02), albumin to bilirubin grades (P = .03), and Humanitas score ≤6 versus >6 (P = .03). Twenty-two patients (16%) developed posthepatectomy liver failure, and 2 (1.4%) died within 90 days. The hepatocellular uptake index was significantly lower in those patients with posthepatectomy liver failure (P < .01). Receiver operating characteristics curve analysis revealed valuable hepatocellular uptake index ability in predicting post-hepatectomy liver failure (area under the curve = 0.84; 95% confidence interval, 0.71-0.92; P < .01), with a cutoff value of 574.33 (98% sensitivity; 83% specificity).
CONCLUSION CONCLUSIONS
The hepatocellular uptake index hepatocellular uptake index measured on preoperative Gd-EOB-DTPA magnetic resonance imaging identifies patients with diseased liver and predicts posthepatectomy liver failure. This index could be used to discern those patients at higher risk of complications after hepatectomy.

Identifiants

pubmed: 32600880
pii: S0039-6060(20)30251-8
doi: 10.1016/j.surg.2020.04.041
pii:
doi:

Substances chimiques

Contrast Media 0
gadolinium ethoxybenzyl DTPA 0
Gadolinium DTPA K2I13DR72L

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

419-425

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Matteo Donadon (M)

Department of Hepatobiliary and General Surgery, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.

Ezio Lanza (E)

Department of Radiology, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy.

Bruno Branciforte (B)

Department of Hepatobiliary and General Surgery, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy.

Riccardo Muglia (R)

Department of Radiology, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy.

Costanza Lisi (C)

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.

Vittorio Pedicini (V)

Department of Radiology, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy.

Dario Poretti (D)

Department of Radiology, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy.

Simone Famularo (S)

Department of Hepatobiliary and General Surgery, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy.

Luca Balzarini (L)

Department of Radiology, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy.

Guido Torzilli (G)

Department of Hepatobiliary and General Surgery, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy. Electronic address: guido.torzilli@hunimed.eu.

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Classifications MeSH