Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein
Abstract The precise preoperative calculation of functional liver volumes is essential prior major liver resections, as well as for the evaluation of a suitable donor for living donor liver transplantation. The aim of this study was to develop a fully automated, reproducible, and quantitative 3D vol...
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Nature Portfolio
2022-10-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-20778-4 |
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author | Sven Koitka Phillip Gudlin Jens M. Theysohn Arzu Oezcelik Dieter P. Hoyer Murat Dayangac René Hosch Johannes Haubold Nils Flaschel Felix Nensa Eugen Malamutmann |
author_facet | Sven Koitka Phillip Gudlin Jens M. Theysohn Arzu Oezcelik Dieter P. Hoyer Murat Dayangac René Hosch Johannes Haubold Nils Flaschel Felix Nensa Eugen Malamutmann |
author_sort | Sven Koitka |
collection | DOAJ |
description | Abstract The precise preoperative calculation of functional liver volumes is essential prior major liver resections, as well as for the evaluation of a suitable donor for living donor liver transplantation. The aim of this study was to develop a fully automated, reproducible, and quantitative 3D volumetry of the liver from standard CT examinations of the abdomen as part of routine clinical imaging. Therefore, an in-house dataset of 100 venous phase CT examinations for training and 30 venous phase ex-house CT examinations with a slice thickness of 5 mm for testing and validating were fully annotated with right and left liver lobe. Multi-Resolution U-Net 3D neural networks were employed for segmenting these liver regions. The Sørensen-Dice coefficient was greater than 0.9726 ± 0.0058, 0.9639 ± 0.0088, and 0.9223 ± 0.0187 and a mean volume difference of 32.12 ± 19.40 ml, 22.68 ± 21.67 ml, and 9.44 ± 27.08 ml compared to the standard of reference (SoR) liver, right lobe, and left lobe annotation was achieved. Our results show that fully automated 3D volumetry of the liver on routine CT imaging can provide reproducible, quantitative, fast and accurate results without needing any examiner in the preoperative work-up for hepatobiliary surgery and especially for living donor liver transplantation. |
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issn | 2045-2322 |
language | English |
last_indexed | 2024-04-12T02:45:22Z |
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spelling | doaj.art-7ccdc1bc262940958d74fc6721cc36a32022-12-22T03:51:11ZengNature PortfolioScientific Reports2045-23222022-10-011211910.1038/s41598-022-20778-4Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic veinSven Koitka0Phillip Gudlin1Jens M. Theysohn2Arzu Oezcelik3Dieter P. Hoyer4Murat Dayangac5René Hosch6Johannes Haubold7Nils Flaschel8Felix Nensa9Eugen Malamutmann10Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital EssenDepartment of General, Visceral and Transplantation Surgery, University Hospital EssenInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital EssenDepartment of General, Visceral and Transplantation Surgery, University Hospital EssenDepartment of General, Visceral and Transplantation Surgery, University Hospital EssenDepartment of Surgery, Medipol University HospitalInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital EssenInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital EssenInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital EssenInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital EssenDepartment of General, Visceral and Transplantation Surgery, University Hospital EssenAbstract The precise preoperative calculation of functional liver volumes is essential prior major liver resections, as well as for the evaluation of a suitable donor for living donor liver transplantation. The aim of this study was to develop a fully automated, reproducible, and quantitative 3D volumetry of the liver from standard CT examinations of the abdomen as part of routine clinical imaging. Therefore, an in-house dataset of 100 venous phase CT examinations for training and 30 venous phase ex-house CT examinations with a slice thickness of 5 mm for testing and validating were fully annotated with right and left liver lobe. Multi-Resolution U-Net 3D neural networks were employed for segmenting these liver regions. The Sørensen-Dice coefficient was greater than 0.9726 ± 0.0058, 0.9639 ± 0.0088, and 0.9223 ± 0.0187 and a mean volume difference of 32.12 ± 19.40 ml, 22.68 ± 21.67 ml, and 9.44 ± 27.08 ml compared to the standard of reference (SoR) liver, right lobe, and left lobe annotation was achieved. Our results show that fully automated 3D volumetry of the liver on routine CT imaging can provide reproducible, quantitative, fast and accurate results without needing any examiner in the preoperative work-up for hepatobiliary surgery and especially for living donor liver transplantation.https://doi.org/10.1038/s41598-022-20778-4 |
spellingShingle | Sven Koitka Phillip Gudlin Jens M. Theysohn Arzu Oezcelik Dieter P. Hoyer Murat Dayangac René Hosch Johannes Haubold Nils Flaschel Felix Nensa Eugen Malamutmann Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein Scientific Reports |
title | Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein |
title_full | Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein |
title_fullStr | Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein |
title_full_unstemmed | Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein |
title_short | Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein |
title_sort | fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein |
url | https://doi.org/10.1038/s41598-022-20778-4 |
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