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Modeling sphere dynamics in blood vessels for SIRT pre-planning - To fathom the potential and limitations.
Kretz, Dominik; Hesser, Jürgen; Glatting, Gerhard; Diehl, Steffen; Wenz, Frederik; He, Wanji; Zheng, Lei.
Afiliación
  • Kretz D; Experimental Radiation Oncology, Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Germany. Electronic address: Dominik.Kretz@medma.uni-heidelberg.de.
  • 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.
  • Glatting G; Medical Radiation Physics/Radiation Protection, Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany.
  • Diehl S; Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Germany.
  • Wenz F; Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Germany.
  • He W; Experimental Radiation Oncology, Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Germany.
  • Zheng L; Experimental Radiation Oncology, Department of Radiation Oncology, University Medical Center Mannheim, Heidelberg University, Germany.
Z Med Phys ; 29(1): 5-15, 2019 Feb.
Article en En | MEDLINE | ID: mdl-30049550
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiometría / Planificación de la Radioterapia Asistida por Computador / Hemorreología / Arteria Hepática / Neoplasias Hepáticas / Microesferas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Z Med Phys Asunto de la revista: RADIOTERAPIA Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiometría / Planificación de la Radioterapia Asistida por Computador / Hemorreología / Arteria Hepática / Neoplasias Hepáticas / Microesferas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Z Med Phys Asunto de la revista: RADIOTERAPIA Año: 2019 Tipo del documento: Article