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

Mitsugi Shimoda, Masanori Hariyama, Yukio Oshiro, Shuji Suzuki

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)6639-6647
Number of pages9
JournalOncology Letters
Volume18
Issue number6
DOIs
Publication statusPublished - 2019

Keywords

  • Anatomical resection
  • Estimated resectable liver volume
  • Three dimensional CT simulation

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint Dive into the research topics of 'Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function'. Together they form a unique fingerprint.

Cite this