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

  • Published online on: October 18, 2019     https://doi.org/10.3892/ol.2019.11006
  • Pages: 6639-6647
  • Copyright: © Shimoda et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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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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December-2019
Volume 18 Issue 6

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Spandidos Publications style
Shimoda M, Hariyama M, Oshiro Y and Suzuki S: Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function. Oncol Lett 18: 6639-6647, 2019
APA
Shimoda, M., Hariyama, M., Oshiro, Y., & Suzuki, S. (2019). Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function. Oncology Letters, 18, 6639-6647. https://doi.org/10.3892/ol.2019.11006
MLA
Shimoda, M., Hariyama, M., Oshiro, Y., Suzuki, S."Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function". Oncology Letters 18.6 (2019): 6639-6647.
Chicago
Shimoda, M., Hariyama, M., Oshiro, Y., Suzuki, S."Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function". Oncology Letters 18, no. 6 (2019): 6639-6647. https://doi.org/10.3892/ol.2019.11006