A Framework for Assessing the Effect of Cardiac and Respiratory Motion for Stereotactic Arrhythmia Radioablation Using a Digital Phantom With a 17-Segment Model: A STOPSTORM.eu Consortium Study.


Journal

International journal of radiation oncology, biology, physics
ISSN: 1879-355X
Titre abrégé: Int J Radiat Oncol Biol Phys
Pays: United States
ID NLM: 7603616

Informations de publication

Date de publication:
29 Aug 2023
Historique:
received: 10 05 2023
revised: 14 08 2023
accepted: 22 08 2023
pubmed: 1 9 2023
medline: 1 9 2023
entrez: 31 8 2023
Statut: aheadofprint

Résumé

The optimal motion management strategy for patients receiving stereotactic arrhythmia radioablation (STAR) for the treatment of ventricular tachycardia (VT) is not fully known. We developed a framework using a digital phantom to simulate cardiorespiratory motion in combination with different motion management strategies to gain insight into the effect of cardiorespiratory motion on STAR. The 4-dimensional (4D) extended cardiac-torso (XCAT) phantom was expanded with the 17-segment left ventricular (LV) model, which allowed placement of STAR targets in standardized ventricular regions. Cardiac- and respiratory-binned 4D computed tomography (CT) scans were simulated for free-breathing, reduced free-breathing, respiratory-gating, and breath-hold scenarios. Respiratory motion of the heart was set to population-averaged values of patients with VT: 6, 2, and 1 mm in the superior-inferior, posterior-anterior, and left-right direction, respectively. Cardiac contraction was adjusted by reducing LV ejection fraction to 35%. Target displacement was evaluated for all segments using envelopes encompassing the cardiorespiratory motion. Envelopes incorporating only the diastole plus respiratory motion were created to simulate the scenario where cardiac motion is not fully captured on 4D respiratory CT scans used for radiation therapy planning. The average volume of the 17 segments was 6 cm The developed LV-segmental XCAT framework showed that free-wall regions display the most cardiorespiratory displacement. Our framework supports the optimization of STAR by evaluating the effect of (cardio)respiratory motion and motion management strategies for patients with VT.

Identifiants

pubmed: 37652302
pii: S0360-3016(23)07853-7
doi: 10.1016/j.ijrobp.2023.08.059
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Raoul R F Stevens (RRF)

Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands. Electronic address: raoul.stevens@maastro.nl.

Colien Hazelaar (C)

Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.

Marta Bogowicz (M)

Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.

Rachel M A Ter Bekke (RMA)

Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center+, Maastricht, The Netherlands.

Paul G A Volders (PGA)

Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center+, Maastricht, The Netherlands.

Karolien Verhoeven (K)

Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.

Dirk de Ruysscher (D)

Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.

Joost J C Verhoeff (JJC)

Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.

Martin F Fast (MF)

Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.

Stefano Mandija (S)

Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.

Jakub Cvek (J)

Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic.

Lukas Knybel (L)

Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic.

Pavel Dvorak (P)

Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic.

Oliver Blanck (O)

Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany.

Wouter van Elmpt (W)

Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.

Classifications MeSH