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Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function
Determining the resectable region and volume of the liver prior to anatomical resection is important. The synapse Vincent (SV) system is the current method for surgical liver resection that relies on the surgeon's individual experience and skill. Additionally, in cases involving abnormal liver...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865544/ https://www.ncbi.nlm.nih.gov/pubmed/31788120 http://dx.doi.org/10.3892/ol.2019.11006 |
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author | Shimoda, Mitsugi Hariyama, Masanori Oshiro, Yukio Suzuki, Shuji |
author_facet | Shimoda, Mitsugi Hariyama, Masanori Oshiro, Yukio Suzuki, Shuji |
author_sort | Shimoda, Mitsugi |
collection | PubMed |
description | Determining the resectable region and volume of the liver prior to anatomical resection is important. The synapse Vincent (SV) system is the current method for surgical liver resection that relies on the surgeon's individual experience and skill. Additionally, in cases involving abnormal liver function, the resectable region is limited due to deteriorating liver function, thus making the determination of the hepatectomy region challenging. The current study outlines a novel 3D Hariyama-Shimoda Soft (HSS) simulation software that can be used to automatically simulate the optimal hepatectomy region under a limited resectable liver volume. The current study recruited patients with hepatic malignant tumors that were scheduled for anatomical resection. The influence of the tumor on each portal vein point was quantified in accordance with the tumor domination ratio (TDR). The resectable region was subsequently determined so that the sum of the TDR was the maximum estimated resectable liver volume (ERLV). The maximum ERLV settings utilized were within Makuuchi's criteria. ERLV was compared with the actual resected liver volume (ARLV) using SV and HSS. A total of 15 patients were included in the present study. The median ERLV was not significantly different between the two groups (P=0.15). However, the correlation between ERLV and ARLV, for SV and HSS, was statistically significant [SV ERLV (ml) = 1.139 × HSS ERLV (ml) + 30.779 (P=0.001)]. In conclusion, HSS may be an effective 3D simulation system. TDR and ERLV were indicated to be novel factors that may be incorporated into simulation software for use in anatomical resection surgery. |
format | Online Article Text |
id | pubmed-6865544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-68655442019-11-30 Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function Shimoda, Mitsugi Hariyama, Masanori Oshiro, Yukio Suzuki, Shuji Oncol Lett Articles Determining the resectable region and volume of the liver prior to anatomical resection is important. The synapse Vincent (SV) system is the current method for surgical liver resection that relies on the surgeon's individual experience and skill. Additionally, in cases involving abnormal liver function, the resectable region is limited due to deteriorating liver function, thus making the determination of the hepatectomy region challenging. The current study outlines a novel 3D Hariyama-Shimoda Soft (HSS) simulation software that can be used to automatically simulate the optimal hepatectomy region under a limited resectable liver volume. The current study recruited patients with hepatic malignant tumors that were scheduled for anatomical resection. The influence of the tumor on each portal vein point was quantified in accordance with the tumor domination ratio (TDR). The resectable region was subsequently determined so that the sum of the TDR was the maximum estimated resectable liver volume (ERLV). The maximum ERLV settings utilized were within Makuuchi's criteria. ERLV was compared with the actual resected liver volume (ARLV) using SV and HSS. A total of 15 patients were included in the present study. The median ERLV was not significantly different between the two groups (P=0.15). However, the correlation between ERLV and ARLV, for SV and HSS, was statistically significant [SV ERLV (ml) = 1.139 × HSS ERLV (ml) + 30.779 (P=0.001)]. In conclusion, HSS may be an effective 3D simulation system. TDR and ERLV were indicated to be novel factors that may be incorporated into simulation software for use in anatomical resection surgery. D.A. Spandidos 2019-12 2019-10-18 /pmc/articles/PMC6865544/ /pubmed/31788120 http://dx.doi.org/10.3892/ol.2019.11006 Text en Copyright: © Shimoda et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Shimoda, Mitsugi Hariyama, Masanori Oshiro, Yukio Suzuki, Shuji Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function |
title | Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function |
title_full | Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function |
title_fullStr | Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function |
title_full_unstemmed | Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function |
title_short | Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function |
title_sort | development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865544/ https://www.ncbi.nlm.nih.gov/pubmed/31788120 http://dx.doi.org/10.3892/ol.2019.11006 |
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