Modeling sphere dynamics in blood vessels for SIRT pre-planning - To fathom the potential and limitations.
Computed Tomography Angiography
Computer Simulation
Hemorheology
Hepatic Artery
/ diagnostic imaging
Humans
Hydrodynamics
Imaging, Three-Dimensional
Liver Neoplasms
/ diagnostic imaging
Microspheres
Positron Emission Tomography Computed Tomography
Radiometry
/ methods
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted
/ methods
Renal Circulation
-PET
Blood flow simulation
Constrained constructive optimization
Smoothed particle hydrodynamics
Treatment planning
Vessel segmentation
Journal
Zeitschrift fur medizinische Physik
ISSN: 1876-4436
Titre abrégé: Z Med Phys
Pays: Germany
ID NLM: 100886455
Informations de publication
Date de publication:
Feb 2019
Feb 2019
Historique:
received:
17
10
2017
revised:
26
05
2018
accepted:
27
05
2018
pubmed:
28
7
2018
medline:
26
7
2019
entrez:
28
7
2018
Statut:
ppublish
Résumé
For selective internal radiation therapy (SIRT) the calculation of the 3D distribution of spheres based on individual blood flow properties is still an open and relevant research question. The purpose of this work is to develop and analyze a new treatment planning method for SIRT to calculate the absorbed dose distribution. For this intention, flow dynamics of the SIRT-spheres inside the blood vessels was simulated. The challenge is treatment planning solely using high-resolution imaging data available before treatment. The resolution required to reliably predict the sphere distribution and hence the dose was investigated. For this purpose, arteries of the liver were segmented from a contrast-enhanced angiographic CT. Due to the limited resolution of the given CT, smaller vessels were generated via a vessel model. A combined 1D/3D-flow simulation model was implemented to simulate the final 3D distribution of spheres and dose. Results were evaluated against experimental data from Y90-PET. Analysis showed that the resolution of the vessels within the angiographic CT of about 0.5mm should be improved to a limit of about 150μm to reach a reliable prediction.
Identifiants
pubmed: 30049550
pii: S0939-3889(17)30160-5
doi: 10.1016/j.zemedi.2018.05.006
pii:
doi:
Types de publication
Journal Article
Langues
eng
Pagination
5-15Informations de copyright
Copyright © 2018. Published by Elsevier GmbH.