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.
Authors
- Ruoyan Meng
- Davit L. Aghayan
- Rafael Palomar (ORCID: https://orcid.org/0000-0002-9136-4154)
- Faouzi Alaya Cheikh (ORCID: https://orcid.org/0000-0002-4823-5250)
Institutions
- Oslo University Hospital (NO)
- Norwegian University of Science and Technology (NO)
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
- Field-Weighted Citation Impact
- 0.00