Kourosh Sayar Dogahe, Tamara Sarac, Delphine De Smedt, and Koen Bertels
abstract
We present a hybrid quantum-classical method for calculating Potential Energy Surface scans using quantum computers, which are essential for designing Metal-Organic Frameworks for Direct Air Capture applications. The results demonstrate, at a small scale, the potential advantage of quantum computing-based models. We aimed to define relevant classical computing model references for method benchmarking. The most important benefits of using the (PISQ) Perfect Intermediate Scale Quantum approach for
Simeon Beeckman, Yanlu Li, Roel Baets, Patrick Segers
abstract
Cardiovascular disease is the largest cause of death worldwide with a contribution of around 30% of global mortality. Screening for these diseases may be done by assessing the increase in arterial stiffness. This can be done by calculating carotid-femoral pulse-wave velocity (cf-PWV), a biomarker that can reliably be measured via, amongst others, laser-doppler vibrometry (LDV).
A prototype utilizing this technology was developed within the scope of the CARDIS (& subsequently the INSIDE) project.
Saar Vermijs, Pieter De Backer, Pieter De Visschere, Alexandre Mottrie, Charles Van Praet, Karel Decaestecker, Charlotte Debbaut
abstract
Partial nephrectomy is the optimal surgery for early-stage renal tumours. Selective clamping (only clamping those arteries that perfuse maximal tumour and minimal healthy tissue) lowers the risk of excessive bleeding during tumour resection, while safeguarding the remaining healthy tissue’s renal function. To clamp successfully, insight in the patient-specific perfusion zones is necessary, which cannot be provided by CT-scans. Therefore, we propose a 3D renal perfusion model, which we validated
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Pre-Operative Partial Nephrectomy Planning: From Four-Phase CT-Scan to 3D Renal Perfusion Model
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Pre-Operative Partial Nephrectomy Planning: From Four-Phase CT-Scan to 3D Renal Perfusion Model
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Saar Vermijs, Pieter De Backer, Pieter De Visschere, Alexandre Mottrie, Charles Van Praet, Karel Decaestecker, Charlotte Debbaut
abstract
Partial nephrectomy is the optimal surgery for early-stage renal tumours. Selective clamping (only clamping those arteries that perfuse maximal tumour and minimal healthy tissue) lowers the risk of excessive bleeding during tumour resection, while safeguarding the remaining healthy tissue’s renal function. To clamp successfully, insight in the patient-specific perfusion zones is necessary, which cannot be provided by CT-scans. Therefore, we propose a 3D renal perfusion model, which we validated in a retrospective study (De Backer, Vermijs et al. 2023).
Twenty-five patients were included. Their four-phase CT-scan was segmented in Mimics (Materialise, Belgium) to create a 3D model. The arteries were simplified to a centerline using VMTK (vmtk.org) to label the branches. The labelled centerline points served as seeds in a Python-based region growing algorithm, executed in a voxelized bounding box around parenchyma and tumour. This resulted in a 3D renal perfusion model for each patient.
To validate this, the clamped selective arteries were detected on the surgical video. Their perfusion zones, which were made visible during surgery using indo-cyanine green under near-infrared lighting, were compared to the calculated perfusion model using two metrics.
The first metric, the total overlap of the perfusion zone contours, was scored by six independent urologists. This resulted in an average score of 4.28 out of 5 (median: 5; range: 2-5: interquartile range: 4-5). The second metric, focusing on the perfusion of the tumour, was evaluated using a scoring grid and resulted in an average score of 4.14 out of 5 (median: 5; range: 1-5; interquartile range: 3.5-5).
The high scores for both metrics show that the proposed algorithm is robust. A limitation of this study is that indo-cyanine green only reveals perfusion at surface level. However, the results are promising and show that the perfusion model can assist in preoperative planning.