Enhancing liver resection planning through comprehensive volumetry analysis

Precise volumetric evaluation of the liver is crucial to mitigate the risk of postoperative liver failure following hepatectomy. However, existing liver resection volumetry calculation methods offer limited functionality, providing only liver and tumor volume, and simple calculation for the future liver remnant (FLR). To enhance understanding of liver resection volumetry, we introduce a flexible tool, able to integrate the resection plans with different underlying data (liver parenchyma, liver segments classification) and allow the user to interactively select and calculate the volume of chosen regions of interest (ROI) whether individually or in combination with other ROIs. This flexibility makes this tool scale to complex cases, for example, multiple resections in the same resection plan. Working alongside an experienced surgeon, we implemented two resection strategies and investigated various ROI volumes to see the difference between the two strategies. Through the experimented usage scenarios, we effectively showcase the tool’s proficiency in facilitating complex liver volumetry analysis for liver resection planning.

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Publication Details

Published
2024-10-22
DOI
https://doi.org/10.1117/12.3038556
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Enhancing liver resection planning through comprehensive volumetry analysis

Ruoyan Meng, Davit L. Aghayan, Rafael Palomar, Faouzi Alaya Cheikh
Radiomics and Machine Learning in Medical Imaging
article

Enhancing liver resection planning through comprehensive volumetry analysis

Ruoyan Meng, Davit L. Aghayan, Rafael Palomar, Faouzi Alaya Cheikh
article en

Abstract

Precise volumetric evaluation of the liver is crucial to mitigate the risk of postoperative liver failure following hepatectomy. However, existing liver resection volumetry calculation methods offer limited functionality, providing only liver and tumor volume, and simple calculation for the future liver remnant (FLR). To enhance understanding of liver resection volumetry, we introduce a flexible tool, able to integrate the resection plans with different underlying data (liver parenchyma, liver segments classification) and allow the user to interactively select and calculate the volume of chosen regions of interest (ROI) whether individually or in combination with other ROIs. This flexibility makes this tool scale to complex cases, for example, multiple resections in the same resection plan. Working alongside an experienced surgeon, we implemented two resection strategies and investigated various ROI volumes to see the difference between the two strategies. Through the experimented usage scenarios, we effectively showcase the tool’s proficiency in facilitating complex liver volumetry analysis for liver resection planning.

Oslo University Hospital (NO), Norwegian University of Science and Technology (NO)
Zero hunger
Openalex Percentile: Top 69%
Radiomics and Machine Learning in Medical Imaging
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Enhancing liver resection planning through comprehensive volumetry analysis — Ruoyan Meng, Davit L. Aghayan, et al. · (2024) | TGRS Research Map | TGRS