Physics and Imaging in Radiation Oncology (Jan 2023)
Quality assurance process within the RAdiosurgery for VENtricular TAchycardia (RAVENTA) trial for the fusion of electroanatomical mapping and radiotherapy planning imaging data in cardiac radioablation
- Michael Mayinger,
- Judit Boda-Heggemann,
- Felix Mehrhof,
- David Krug,
- Stephan Hohmann,
- Jingyang Xie,
- Stefanie Ehrbar,
- Boldizsar Kovacs,
- Roland Merten,
- Melanie Grehn,
- Adrian Zaman,
- Jens Fleckenstein,
- Lena Kaestner,
- Daniel Buergy,
- Boris Rudic,
- Anne Kluge,
- Leif-Hendrik Boldt,
- Jürgen Dunst,
- Hendrik Bonnemeier,
- Ardan M. Saguner,
- Nicolaus Andratschke,
- Oliver Blanck,
- Achim Schweikard
Affiliations
- Michael Mayinger
- Department of Radiation Oncology, University Hospital Zürich, University of Zürich, Zürich, Switzerland; Corresponding author.
- Judit Boda-Heggemann
- Department of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Felix Mehrhof
- Department of Radiation Oncology, Charité University Medicine Berlin, Berlin, Germany
- David Krug
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
- Stephan Hohmann
- Department of Cardiology and Angiology, Hannover Heart Rhythm Center, Hannover Medical School, Hannover, Germany
- Jingyang Xie
- Institute for Robotics and Cognitive Systems, Univesity of Lübeck, Lübeck, Germany
- Stefanie Ehrbar
- Department of Radiation Oncology, University Hospital Zürich, University of Zürich, Zürich, Switzerland
- Boldizsar Kovacs
- Department of Cardiology, University Heart Center Zurich, University Hospital Zurich, Switzerland
- Roland Merten
- Department of Radiotherapy, Hannover Medical School, Hannover, Germany
- Melanie Grehn
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
- Adrian Zaman
- Department of Internal Medicine III, Section for Electrophysiology und Rhythmology, University Medical Center Schleswig-Holstein, Kiel, Germany
- Jens Fleckenstein
- Department of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Lena Kaestner
- Department of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Daniel Buergy
- Department of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Boris Rudic
- Medizinische Klinik I, Abteilung für Elektrophysiologie und Rhythmologie, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Anne Kluge
- Department of Radiation Oncology, Charité University Medicine Berlin, Berlin, Germany
- Leif-Hendrik Boldt
- Department of Cardiology, University Medicine Berlin, Campus Virchow-Klinikum, Berlin, Germany
- Jürgen Dunst
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
- Hendrik Bonnemeier
- Department of Internal Medicine III, Section for Electrophysiology und Rhythmology, University Medical Center Schleswig-Holstein, Kiel, Germany
- Ardan M. Saguner
- Department of Cardiology, University Heart Center Zurich, University Hospital Zurich, Switzerland
- Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital Zürich, University of Zürich, Zürich, Switzerland
- Oliver Blanck
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
- Achim Schweikard
- Institute for Robotics and Cognitive Systems, Univesity of Lübeck, Lübeck, Germany
- Journal volume & issue
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Vol. 25
p. 100406
Abstract
A novel quality assurance process for electroanatomical mapping (EAM)-to-radiotherapy planning imaging (RTPI) target transport was assessed within the multi-center multi-platform framework of the RAdiosurgery for VENtricular TAchycardia (RAVENTA) trial. A stand-alone software (CARDIO-RT) was developed to enable platform independent registration of EAM and RTPI of the left ventricle (LV), based on pre-generated radiotherapy contours (RTC). LV-RTC were automatically segmented into the American-Heart-Association 17-segment-model and a manual 3D-3D method based on EAM 3D-geometry data and a semi-automated 2D-3D method based on EAM screenshot projections were developed. The quality of substrate transfer was evaluated in five clinical cases and the structural analyses showed substantial differences between manual target transfer and target transport using CARDIO-RT.
