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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...

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Autores principales: Shimoda, Mitsugi, Hariyama, Masanori, Oshiro, Yukio, Suzuki, Shuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
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.
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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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