Optimizing Surgical Plans for Parenchyma-Sparing Liver Resections through Contour-Guided Resection and Surface Approximation
Gabriella d'Albenzio, Ruoyan Meng, Davit Aghayan, Egidijus Pelanis,, Rebecca Hisey, Sarkis Drejian, \r{A}smund Avdem Fretland, Ole Jakob Elle,, Bj{\o}rn Edwin, Rafael Palomar

TL;DR
This paper presents a new computer-aided surgical planning system that uses contour and surface approximation techniques to optimize liver resections, significantly reducing resected volume and preserving healthy tissue.
Contribution
It introduces a novel method for virtual resection planning that closely mimics actual surgical procedures and compares parenchyma-sparing resection with traditional anatomical resection.
Findings
Significantly reduced resected volume in PSR compared to AR
Higher remnant liver volume and percentage in PSR
Demonstrated flexibility and efficacy of the virtual planning system
Abstract
Objective: This study introduces a novel method for defining virtual resections in liver cancer surgery, aimed at enhancing the adaptability of parenchyma-sparing resection (PSR) plans. By comparing these with traditional anatomical resection (AR) plans, we explore the potential for optimization in surgical planning. Methods: Leveraging contours and spline surface approximations directly from the liver's surface, our method aligns closely with actual surgical procedures, offering a more realistic representation of curved resection paths. This technique, tested against 14 cases from the OSLO-COMET study, incorporates surface deformation for versatile plan modeling, comparing volumetric outcomes of PSR and AR. Results: The study highlights significant benefits of PSR over AR, including reduced resected volume ( ml for PSR vs. ml for AR, )…
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Taxonomy
TopicsHepatocellular Carcinoma Treatment and Prognosis · Advanced Radiotherapy Techniques · Radiation Therapy and Dosimetry
