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

doi:10.3892/ol.2019.11006

December-2019 Volume 18 Issue 6

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December-2019 Volume 18 Issue 6

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Article Open Access

Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function

Authors:
- Mitsugi Shimoda
- Masanori Hariyama
- Yukio Oshiro
- Shuji Suzuki
View Affiliations / Copyright

Affiliations: Department of Gastroenterological Surgery, Tokyo Medical University, Ibaraki Medical Center, Ibaraki 300‑0395, Japan

Copyright: © Shimoda et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Pages: 6639-6647
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Published online on: October 18, 2019

https://doi.org/10.3892/ol.2019.11006
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Abstract

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 x 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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Journals

International Journal of Molecular Medicine

International Journal of Oncology

Molecular Medicine Reports

Oncology Reports

Experimental and Therapeutic Medicine

Oncology Letters

Biomedical Reports

Molecular and Clinical Oncology

World Academy of Sciences Journal

International Journal of Functional Nutrition

International Journal of Epigenetics

Medicine International

Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function

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