BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
9/21/2020 4:02:08 PM | Browse: 1061 | Download: 3003
 |
Received |
|
2020-06-04 20:48 |
|
Peer-Review Started |
|
2020-06-04 20:48 |
|
First Decision by Editorial Office Director |
|
2020-06-20 21:39 |
|
Return for Revision |
|
2020-06-20 21:39 |
|
Revised |
|
2020-06-29 17:57 |
 |
Publication Fee Transferred |
|
|
|
Second Decision by Editor |
|
2020-08-05 07:56 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2020-08-16 15:28 |
|
Articles in Press |
|
2020-08-16 15:28 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2020-08-27 07:31 |
|
Publish the Manuscript Online |
|
2020-09-21 16:02 |
| ISSN |
1948-5182 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Prospective Study |
| Article Title |
Can gadoxetic acid–enhanced magnetic resonance imaging be used to avoid liver biopsy in patients with nonalcoholic fatty liver disease?
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Viviane Brandão Amorim, Daniella Braz Parente, Fernando Fernandes Paiva, Jaime Araújo Oliveira Neto, Amanda Almeida Miranda, Cláudia Cravo Moreira, Flávia Ferreira Fernandes, Carlos Frederico Ferreira Campos, Nathalie Carvalho Leite, Renata de Mello Perez and Rosana Souza Rodrigues |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| D’Or Institute for Research and Education |
CAAE-50521015.2.0000.5249 |
|
| Corresponding Author |
Viviane Brandão Amorim, MD, PhD, Research Scientist, Staff Physician, Research Department, D’Or Institute for Research and Education, No. 30 Rua Diniz Cordeiro, Botafogo, Rio de Janeiro 22281-100, Brazil. viviane1brandao@gmail.com |
| Key Words |
Fatty liver; Nonalcoholic fatty liver disease; Nonalcoholic steatohepatitis; Gadoxetic acid; ; |
| Core Tip |
Nonalcoholic fatty liver disease (NAFLD) is a major cause of liver disease worldwide. The diagnosis of nonalcoholic steatohepatitis, the most severe form of NAFLD, is crucial and has prognostic and therapeutic implications. However, currently this diagnosis is based on liver biopsy. In this study, we demonstrated that gadoxetic acid–enhanced magnetic resonance imaging could be useful for the evaluation of patients with NAFLD, as it allows stratification according to the probabilities of nonalcoholic steatohepatitis and isolated steatosis, thereby avoiding liver biopsy in many patients. |
| Publish Date |
2020-09-21 16:02 |
| Citation |
Amorim VB, Parente DB, Paiva FF, Oliveira Neto JA, Miranda AA, Moreira CC, Fernandes FF, Campos CFF, Leite NC, Perez RM, Rodrigues RS. Can gadoxetic acid–enhanced magnetic resonance imaging be used to avoid liver biopsy in patients with nonalcoholic fatty liver disease? World J Hepatol 2020; 12(9): 661-671
|
| URL |
https://www.wjgnet.com/1948-5182/full/v12/i9/661.htm |
| DOI |
https://dx.doi.org/ 10.4254/wjh.v12.i9.661 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
