A Tool to Integrate Electrophysiological Mapping for Cardiac Radioablation of Ventricular Tachycardia
Purpose: Cardiac radioablation is an emerging therapy for recurrent ventricular tachycardia. Electrophysiology (EP) data, including electroanatomic maps (EAM) and electrocardiographic imaging (ECGI), provide crucial information for defining the arrhythmogenic target volume. The absence of standardiz...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
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| Series: | Advances in Radiation Oncology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S245210942300101X |
| _version_ | 1797796419271131136 |
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| author | Hesheng Wang, PhD Chirag R. Barbhaiya, MD Ye Yuan, MD, PhD David Barbee, PhD Ting Chen, PhD Leon Axel, MD, PhD Larry A. Chinitz, MD Andrew J. Evans, MD David J. Byun, MD |
| author_facet | Hesheng Wang, PhD Chirag R. Barbhaiya, MD Ye Yuan, MD, PhD David Barbee, PhD Ting Chen, PhD Leon Axel, MD, PhD Larry A. Chinitz, MD Andrew J. Evans, MD David J. Byun, MD |
| author_sort | Hesheng Wang, PhD |
| collection | DOAJ |
| description | Purpose: Cardiac radioablation is an emerging therapy for recurrent ventricular tachycardia. Electrophysiology (EP) data, including electroanatomic maps (EAM) and electrocardiographic imaging (ECGI), provide crucial information for defining the arrhythmogenic target volume. The absence of standardized workflows and software tools to integrate the EP maps into a radiation planning system limits their use. This study developed a comprehensive software tool to enable efficient utilization of the mapping for cardiac radioablation treatment planning. Methods and Materials: The tool, HeaRTmap, is a Python-scripted plug-in module on the open-source 3D Slicer software platform. HeaRTmap is able to import EAM and ECGI data and visualize the maps in 3D Slicer. The EAM is translated into a 3D space by registration with cardiac magnetic resonance images (MRI) or computed tomography (CT). After the scar area is outlined on the mapping surface, the tool extracts and extends the annotated patch into a closed surface and converts it into a structure set associated with the anatomic images. The tool then exports the structure set and the images as The Digital Imaging and Communications in Medicine Standard in Radiotherapy for a radiation treatment planning system to import. Overlapping the scar structure on simulation CT, a transmural target volume is delineated for treatment planning. Results: The tool has been used to transfer Ensite NavX EAM data into the Varian Eclipse treatment planning system in radioablation on 2 patients with ventricular tachycardia. The ECGI data from CardioInsight was retrospectively evaluated using the tool to derive the target volume for a patient with left ventricular assist device, showing volumetric matching with the clinically used target with a Dice coefficient of 0.71. Conclusions: HeaRTmap smoothly fuses EP information from different mapping systems with simulation CT for accurate definition of radiation target volume. The efficient integration of EP data into treatment planning potentially facilitates the study and adoption of the technique. |
| first_indexed | 2024-03-13T03:32:48Z |
| format | Article |
| id | doaj.art-cd89a0b62993435085c5808b92d8ccd0 |
| institution | Directory Open Access Journal |
| issn | 2452-1094 |
| language | English |
| last_indexed | 2024-03-13T03:32:48Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Advances in Radiation Oncology |
| spelling | doaj.art-cd89a0b62993435085c5808b92d8ccd02023-06-24T05:18:13ZengElsevierAdvances in Radiation Oncology2452-10942023-11-0186101272A Tool to Integrate Electrophysiological Mapping for Cardiac Radioablation of Ventricular TachycardiaHesheng Wang, PhD0Chirag R. Barbhaiya, MD1Ye Yuan, MD, PhD2David Barbee, PhD3Ting Chen, PhD4Leon Axel, MD, PhD5Larry A. Chinitz, MD6Andrew J. Evans, MD7David J. Byun, MD8Department of Radiation Oncology, New York University Grossman School of Medicine, New York, New York; Corresponding author: Hesheng Wang, PhDDepartment of Medicine, New York University Grossman School of Medicine, New York, New YorkAtropos Health, Palo Alto, CaliforniaDepartment of Radiation Oncology, New York University Grossman School of Medicine, New York, New YorkDepartment of Radiation Oncology, New York University Grossman School of Medicine, New York, New YorkDepartment of Medicine, New York University Grossman School of Medicine, New York, New York; Department of Radiology, New York University Grossman School of Medicine, New York, New YorkDepartment of Medicine, New York University Grossman School of Medicine, New York, New YorkDepartment of Radiation Oncology, New York University Grossman School of Medicine, New York, New YorkDepartment of Radiation Oncology, New York University Grossman School of Medicine, New York, New YorkPurpose: Cardiac radioablation is an emerging therapy for recurrent ventricular tachycardia. Electrophysiology (EP) data, including electroanatomic maps (EAM) and electrocardiographic imaging (ECGI), provide crucial information for defining the arrhythmogenic target volume. The absence of standardized workflows and software tools to integrate the EP maps into a radiation planning system limits their use. This study developed a comprehensive software tool to enable efficient utilization of the mapping for cardiac radioablation treatment planning. Methods and Materials: The tool, HeaRTmap, is a Python-scripted plug-in module on the open-source 3D Slicer software platform. HeaRTmap is able to import EAM and ECGI data and visualize the maps in 3D Slicer. The EAM is translated into a 3D space by registration with cardiac magnetic resonance images (MRI) or computed tomography (CT). After the scar area is outlined on the mapping surface, the tool extracts and extends the annotated patch into a closed surface and converts it into a structure set associated with the anatomic images. The tool then exports the structure set and the images as The Digital Imaging and Communications in Medicine Standard in Radiotherapy for a radiation treatment planning system to import. Overlapping the scar structure on simulation CT, a transmural target volume is delineated for treatment planning. Results: The tool has been used to transfer Ensite NavX EAM data into the Varian Eclipse treatment planning system in radioablation on 2 patients with ventricular tachycardia. The ECGI data from CardioInsight was retrospectively evaluated using the tool to derive the target volume for a patient with left ventricular assist device, showing volumetric matching with the clinically used target with a Dice coefficient of 0.71. Conclusions: HeaRTmap smoothly fuses EP information from different mapping systems with simulation CT for accurate definition of radiation target volume. The efficient integration of EP data into treatment planning potentially facilitates the study and adoption of the technique.http://www.sciencedirect.com/science/article/pii/S245210942300101X |
| spellingShingle | Hesheng Wang, PhD Chirag R. Barbhaiya, MD Ye Yuan, MD, PhD David Barbee, PhD Ting Chen, PhD Leon Axel, MD, PhD Larry A. Chinitz, MD Andrew J. Evans, MD David J. Byun, MD A Tool to Integrate Electrophysiological Mapping for Cardiac Radioablation of Ventricular Tachycardia Advances in Radiation Oncology |
| title | A Tool to Integrate Electrophysiological Mapping for Cardiac Radioablation of Ventricular Tachycardia |
| title_full | A Tool to Integrate Electrophysiological Mapping for Cardiac Radioablation of Ventricular Tachycardia |
| title_fullStr | A Tool to Integrate Electrophysiological Mapping for Cardiac Radioablation of Ventricular Tachycardia |
| title_full_unstemmed | A Tool to Integrate Electrophysiological Mapping for Cardiac Radioablation of Ventricular Tachycardia |
| title_short | A Tool to Integrate Electrophysiological Mapping for Cardiac Radioablation of Ventricular Tachycardia |
| title_sort | tool to integrate electrophysiological mapping for cardiac radioablation of ventricular tachycardia |
| url | http://www.sciencedirect.com/science/article/pii/S245210942300101X |
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