Modeling sphere dynamics in blood vessels for SIRT pre-planning - To fathom the potential and limitations.


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
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

5-15

Informations de copyright

Copyright © 2018. Published by Elsevier GmbH.

Auteurs

Dominik Kretz (D)

Experimental Radiation Oncology, Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Germany. Electronic address: Dominik.Kretz@medma.uni-heidelberg.de.

Jürgen Hesser (J)

Experimental Radiation Oncology, Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Germany; Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Germany; Central Institute of Mental Health (ZI), Mannheim, Germany.

Gerhard Glatting (G)

Medical Radiation Physics/Radiation Protection, Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany.

Steffen Diehl (S)

Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Germany.

Frederik Wenz (F)

Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Germany.

Wanji He (W)

Experimental Radiation Oncology, Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Germany.

Lei Zheng (L)

Experimental Radiation Oncology, Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Germany.

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