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Reproducibility and efficiency of liver volumetry using manual method and liver analysis software.

Authors :
Maki, Harufumi
Nishioka, Yujiro
Haddad, Antony
Lendoire, Mateo
Tran Cao, Hop S.
Chun, Yun S.
Tzeng, Ching-Wei D.
Vauthey, Jean-Nicolas
Newhook, Timothy E.
Source :
HPB. Jul2024, Vol. 26 Issue 7, p911-918. 8p.
Publication Year :
2024

Abstract

For liver volumetry, manual tracing on computed tomography (CT) images is time-consuming and operator dependent. To overcome these disadvantages, several three-dimensional simulation software programs have been developed; however, their efficacy has not fully been evaluated. Three physicians performed liver volumetry on preoperative CT images on 30 patients who underwent formal right hepatectomy, using manual tracing volumetry and two simulation software programs, SYNAPSE and syngo.via. The future liver remnant (FLR) was calculated using each method of volumetry. The primary endpoint was reproducibility and secondary outcomes were calculation time and learning curve. The mean FLR was significantly lower for manual volumetry than for SYNAPSE or syngo.via; there was no significant difference in mean FLR between the two software-based methods. Reproducibility was lower for the manual method than for the software-based methods. Mean calculation time was shortest for SYNAPSE. For the two physicians unfamiliar with the software, no obvious learning curve was observed for using SYNAPSE, whereas learning curves were observed for using syngo.via. Liver volumetry was more reproducible and faster with three-dimensional simulation software, especially SYNAPSE software, than with the conventional manual tracing method. Software can help even inexperienced physicians learn quickly how to perform liver volumetry. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1365182X
Volume :
26
Issue :
7
Database :
Academic Search Index
Journal :
HPB
Publication Type :
Academic Journal
Accession number :
177877269
Full Text :
https://doi.org/10.1016/j.hpb.2024.03.1157