BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
12/18/2023 7:44:15 AM | Browse: 91 | Download: 150
 |
Received |
|
2023-06-27 16:47 |
|
Peer-Review Started |
|
2023-06-27 16:49 |
 |
To Make the First Decision |
|
|
|
Return for Revision |
|
2023-07-28 08:54 |
|
Revised |
|
2023-08-17 01:45 |
|
Second Decision |
|
2023-10-13 09:35 |
|
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Company Editor-in-Chief |
|
2023-10-17 08:31 |
|
Articles in Press |
|
2023-10-17 08:31 |
|
Publication Fee Transferred |
|
|
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2023-12-13 14:45 |
|
Publish the Manuscript Online |
|
2023-12-18 07:44 |
| ISSN |
2220-3230 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2023. 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 |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Minireviews |
| Article Title |
Liver volumetric and anatomic assessment in living donor liver transplantation: The role of modern imaging and artificial intelligence
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Mayara Machry, Luis Fernando Ferreira, Angelica Maria Lucchese, Antonio Nocchi Kalil and Flavia Heinz Feier |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Part by The Coordenação de Aperfeiçoamento de Pessoal de Nível Superior–Brasil (CAPES) |
|
|
| Corresponding Author |
Flavia Heinz Feier, PhD, Professor, Department of Hepato-Biliary-Pancreatic Surgery and Liver Transplantation, Irmandade Santa Casa de Misericórdia de Porto Alegre, Rua Prof Annes Dias, Porto Alegre 90020-090, Brazil. flavia.feier@gmail.com |
| Key Words |
Liver transplantation; Living-donor; Diagnostic imaging; Artificial intelligence; Machine learning; Deep learning |
| Core Tip |
Accurate liver’s volumetry (LV) is imperative for successful living-donor liver transplantation to ensure adequate future liver remnant and graft volumes. Manual computed tomography scan delineation conventionally serves as the standard approach; however, it is constrained by factors such as cost, subjectivity, and variability. In contrast, automated LV techniques utilizing advanced segmentation algorithms present superior reproducibility, reduced variability, and enhanced efficiency compared with manual measurements. However, the accuracy of automated LV requires further investigation. The study comprehensively reviewed both traditional and emerging LV methods, including semi-automated image processing, automated LV techniques, and machine learning-based approaches, while analyzing their respective strengths and weaknesses. |
| Publish Date |
2023-12-18 07:44 |
| Citation |
Machry M, Ferreira LF, Lucchese AM, Kalil AN, Feier FH. Liver volumetric and anatomic assessment in living donor liver transplantation: The role of modern imaging and artificial intelligence. World J Transplant 2023; 13(6): 290-298 |
| URL |
https://www.wjgnet.com/2220-3230/full/v13/i6/290.htm |
| DOI |
https://dx.doi.org/10.5500/wjt.v13.i6.290 |
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
