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Arnold R, Prassl AJ, Neic A, Thaler F, Augustin CM, Gsell MAF, Gillette K, Manninger M, Scherr D, Plank G. pyCEPS: A cross-platform electroanatomic mapping data to computational model conversion platform for the calibration of digital twin models of cardiac electrophysiology. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 254:108299. [PMID: 38959599 DOI: 10.1016/j.cmpb.2024.108299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 06/10/2024] [Accepted: 06/19/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND AND OBJECTIVE Data from electro-anatomical mapping (EAM) systems are playing an increasingly important role in computational modeling studies for the patient-specific calibration of digital twin models. However, data exported from commercial EAM systems are challenging to access and parse. Converting to data formats that are easily amenable to be viewed and analyzed with commonly used cardiac simulation software tools such as openCARP remains challenging. We therefore developed an open-source platform, pyCEPS, for parsing and converting clinical EAM data conveniently to standard formats widely adopted within the cardiac modeling community. METHODS AND RESULTS pyCEPS is an open-source Python-based platform providing the following functions: (i) access and interrogate the EAM data exported from clinical mapping systems; (ii) efficient browsing of EAM data to preview mapping procedures, electrograms (EGMs), and electro-cardiograms (ECGs); (iii) conversion to modeling formats according to the openCARP standard, to be amenable to analysis with standard tools and advanced workflows as used for in silico EAM data. Documentation and training material to facilitate access to this complementary research tool for new users is provided. We describe the technological underpinnings and demonstrate the capabilities of pyCEPS first, and showcase its use in an exemplary modeling application where we use clinical imaging data to build a patient-specific anatomical model. CONCLUSION With pyCEPS we offer an open-source framework for accessing EAM data, and converting these to cardiac modeling standard formats. pyCEPS provides the core functionality needed to integrate EAM data in cardiac modeling research. We detail how pyCEPS could be integrated into model calibration workflows facilitating the calibration of a computational model based on EAM data.
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Affiliation(s)
- Robert Arnold
- Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria
| | - Anton J Prassl
- Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria
| | | | - Franz Thaler
- Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria; Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria
| | - Christoph M Augustin
- Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria
| | - Matthias A F Gsell
- Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria
| | - Karli Gillette
- Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria
| | - Martin Manninger
- Division of Cardiology, Department of Medicine, Medical University of Graz, Graz, Austria
| | - Daniel Scherr
- Division of Cardiology, Department of Medicine, Medical University of Graz, Graz, Austria
| | - Gernot Plank
- Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria; NumeriCor GmbH, Graz, Austria; BioTechMed-Graz, Graz, Austria.
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Wubulikasimu S, Wang L, Yang S, Sang W, Han Y, Wang L, Wang F, Zhou X, Zhang J, Xing Q, Tuerhong Z, Xiaokereti J, Guo Y, Tang B, Li Y. Feasibility study of cryoballoon ablation for atrial fibrillation with KODEX-EPD: a single center experience. Sci Rep 2023; 13:22945. [PMID: 38135733 PMCID: PMC10746707 DOI: 10.1038/s41598-023-49475-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
To evaluate the feasibility of cryoballoon (CB) ablation of atrial fibrillation (AF) under the guidance of a new three-dimensional (3D) mapping system KODEX-EPD. 40 patients scheduled for CB ablation of AF in the first affiliated Hospital of Xinjiang Medical University from August 2021 to July 2022 were randomly divided into two groups: KODEX-EPD 3D mapping system guidance group (KODEX group, n = 20) and conventional two-dimensional perspective group (standard group, n = 20). The ablation time, operation time, fluoroscopy time, fluoroscopy dose, contrast agent dosage and follow-up data were compared between the two groups. Besides, the feasibility and accuracy of the dielectric sensing system in evaluating pulmonary vein (PV) occlusion in patients with AF during CB ablation were verified. All pulmonary veins were being isolated. The ablation time (36.40 ± 6.72 min vs 35.15 ± 6.29 min, P > 0.05) and the operation time (64.20 ± 11.82 min vs 66.00 ± 13.18 min, P > 0.05) were not statistically different in the two groups. The standard group has longer fluoroscopy time, dose and contrast medium dosage. There were significant differences in fluoroscopy time (532.30 ± 72.83 s vs 676.25 ± 269.33 s, P < 0.05), fluoroscopy dose (110.00 ± 28.64 mGy vs 144.68 ± 66.66 mGy, P < 0.05), and contrast medium dosage (71.90 ± 5.97 ml vs 76.05 ± 5.93 ml, P < 0.05) between the two groups. The learning curves of the first 5 patients and the last 15 patients in the KODEX group were compared. There was no statistical difference in the ablation time (36.80 ± 8.56 min vs 36.27 ± 6.34 min, P > 0.05) or the operation time (69.00 ± 5.00 min vs 62.60 ± 13.10 min, P > 0.05); however, compared to the first 5 patients, fluoroscopy time (587.40 ± 38.34 s vs 513.93 ± 73.02 s, P < 0.05), fluoroscopy dose (147.85 ± 35.19 mGy vs 97.39 ± 8.80 mGy, P < 0.05) and contrast medium dosage (79.60 ± 1.14 ml vs 69.33 ± 4.45 ml, P < 0.05) were significantly decreased. Using pulmonary venography as the gold standard, the sensitivity, specificity of the completely occlusion in KODEX group was 93.6% (95% CI 85-97.6%) and 69.6% (95% CI 54-81.8%); and the sensitivity, specificity of the small leak in KODEX group was 93.1% (95% CI 82.4-97.8%) and 82.0% (95% CI 65.9-91.9%). During an average follow-up of (9.90 ± 1.06) months, there was no statistical difference in arrhythmia recurrence and antiarrhythmic drugs taking after CB ablation between the two groups (P > 0.05). Using the KODEX-EPD system, the CB ablation procedure can correctly evaluate the PV occlusion, and significantly reduce fluoroscopy exposure and contrast medium without significantly increasing the operation time.
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Affiliation(s)
- Subinuer Wubulikasimu
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Liang Wang
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Suxia Yang
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Wanyue Sang
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Yafan Han
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Lu Wang
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Feifei Wang
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Xianhui Zhou
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Jianghua Zhang
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Qiang Xing
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Zukela Tuerhong
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Jiasuoer Xiaokereti
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Yankai Guo
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Baopeng Tang
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China
| | - Yaodong Li
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
- Department of Pacing and Electrophysiology, Department of Cardiac Electrophysiology and Remodeling, Urumqi, China.
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