Feasibility of Intraoperative Navigation for Liver Resection Using Real-time Virtual Sonography With Novel Automatic Registration System

Overview

Journal World J Surg

Publisher Wiley

Specialty General Surgery

Date 2017 Sep 8

PMID 28879512

Citations 9

Authors

Takeshi Takamoto

Yoshihiro Mise

Shouichi Satou

Yuta Kobayashi

Koui Miura

Akio Saiura

Kiyoshi Hasegawa

Norihiro Kokudo

Masatoshi Makuuchi

Affiliations

Soon will be listed here.

Abstract

Background: The clinical feasibility and usability of intraoperative ultrasonography (IOUS) tracked by computed tomography (CT) images have been proposed; however, it requires technically demanding manual registration procedure.

Study Design: A prospective study using real-time virtual sonography (RVS) with novel automatic registration system was conducted in four high-volume centers of liver resection from 2015 to 2016. The requiring time for registration of IOUS and CT images and positional error of confluence of middle hepatic venous tributaries (V8-MHV, V5-MHV) were measured in patients undergoing laparotomy.

Results: Automatic registration was successful in 43 of 52 enrolled patients (83%), with error ranges of 11.4 (3.1-69.4) mm for V8-MHV and 16.2 (4.3-66.8) mm for V5-MHV. Time required for total registration process was 36 (27-74) s.

Conclusions: The RVS with novel automatic registration system can provide quick and easy registration and acceptable accuracy, which can promote the usage of IOUS.

Citing Articles

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Registration accuracy comparing different rendering techniques on local vs external virtual 3D liver model reconstruction for vascular landmark setting by intraoperative ultrasound in augmented reality navigated liver resection.

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Matsubara K, Kuroda S, Kobayashi T, Ide K, Tahara H, Ohira M PLoS One. 2024; 19(6):e0306307.

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Takamoto T, Nara S, Ban D, Mizui T, Murase Y, Esaki M World J Surg. 2023; 47(11):2834-2845.

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Diagnostic accuracy of 3D imaging combined with intra-operative ultrasound in the prediction of post-hepatectomy liver failure.

Wu T, Huang W, He B, Guo Y, Peng G, Li M J Gastrointest Oncol. 2022; 13(3):1224-1236.

PMID: 35837192 PMC: 9274062. DOI: 10.21037/jgo-22-282.

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