相似文献
1
Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.
Circ Arrhythm Electrophysiol. 2021 Mar;14(3):e009265. doi: 10.1161/CIRCEP.120.009265. Epub 2021 Feb 12.
2
Posterior Left Atrial Adipose Tissue Attenuation Assessed by Computed Tomography and Recurrence of Atrial Fibrillation After Catheter Ablation.
Circ Arrhythm Electrophysiol. 2021 Apr;14(4):e009135. doi: 10.1161/CIRCEP.120.009135. Epub 2021 Mar 15.
3
Treatment-Related Changes in Left Atrial Structure in Atrial Fibrillation: Findings From the CABANA Imaging Substudy.
Circ Arrhythm Electrophysiol. 2021 May;14(5):e008540. doi: 10.1161/CIRCEP.120.008540. Epub 2021 Apr 13.
4
Unipolar Voltage for Better Characterizing Left Atrium Substrates: Comparing the Predictive Efficacy for Recurrence Post Atrial Fibrillation Ablation in a Post Hoc Analysis of STABLE-SR-III Trial.
J Cardiovasc Electrophysiol. 2025 Jan;36(1):149-156. doi: 10.1111/jce.16490. Epub 2024 Nov 7.
5
Nonlinear Relationship Between Left Atrial Volume Measured by Computed Tomography and Recurrent Atrial Arrhythmias in Patients Undergoing Catheter Ablation for Atrial Fibrillation.
J Cardiovasc Electrophysiol. 2025 Jul;36(7):1601-1612. doi: 10.1111/jce.16717. Epub 2025 May 14.
6
Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation.
J Cardiovasc Electrophysiol. 2025 Feb;36(2):323-330. doi: 10.1111/jce.16515. Epub 2024 Nov 29.
7
The Clinical Application of the Deep Learning Technique for Predicting Trigger Origins in Patients With Paroxysmal Atrial Fibrillation With Catheter Ablation.
Circ Arrhythm Electrophysiol. 2020 Nov;13(11):e008518. doi: 10.1161/CIRCEP.120.008518. Epub 2020 Oct 6.
8
Left atrial volume computed by 3D rotational angiography best predicts atrial fibrillation recurrence after circumferential pulmonary vein isolation.
Int J Cardiovasc Imaging. 2018 Mar;34(3):337-342. doi: 10.1007/s10554-017-1243-7. Epub 2017 Sep 16.
9
Left Atrial Function and Strain Assessed by Three-Dimensional Echocardiography as Factors Associated With Atrial Fibrillation Recurrence After Pulmonary Vein Ablation.
J Cardiovasc Electrophysiol. 2025 Aug;36(8):1924-1937. doi: 10.1111/jce.16757. Epub 2025 Jul 1.
10
Conventional versus 3-D Echocardiography to Predict Arrhythmia Recurrence After Atrial Fibrillation Ablation.
J Cardiovasc Electrophysiol. 2017 Jun;28(6):651-658. doi: 10.1111/jce.13202. Epub 2017 Apr 21.
引用本文的文献
1
Recurrence and non-improvement of European Heart Rhythm Association symptom scores after atrial fibrillation ablation: the role of left atrial fractal dimension.
Quant Imaging Med Surg. 2025 Apr 1;15(4):3602-3615. doi: 10.21037/qims-24-2049. Epub 2025 Mar 28.
2
Machine Learning in the Management of Patients Undergoing Catheter Ablation for Atrial Fibrillation: Scoping Review.
J Med Internet Res. 2025 Feb 10;27:e60888. doi: 10.2196/60888.
3
Cardiac computer tomography-derived radiomics in assessing myocardial characteristics at the connection between the left atrial appendage and the left atrium in atrial fibrillation patients.
Front Cardiovasc Med. 2025 Jan 13;11:1442155. doi: 10.3389/fcvm.2024.1442155. eCollection 2024.
4
Artificial Intelligence-Based Feature Analysis of Pulmonary Vein Morphology on Computed Tomography Scans and Risk of Atrial Fibrillation Recurrence After Catheter Ablation: A Multi-Site Study.
Circ Arrhythm Electrophysiol. 2024 Dec;17(12):e012679. doi: 10.1161/CIRCEP.123.012679. Epub 2024 Dec 3.
5
Joint suppression of cardiac bSSFP cine banding and flow artifacts using twofold phase-cycling and a dual-encoder neural network.
J Cardiovasc Magn Reson. 2024;26(2):101123. doi: 10.1016/j.jocmr.2024.101123. Epub 2024 Nov 7.
6
Beyond Clinical Factors: Harnessing Artificial Intelligence and Multimodal Cardiac Imaging to Predict Atrial Fibrillation Recurrence Post-Catheter Ablation.
J Cardiovasc Dev Dis. 2024 Sep 19;11(9):291. doi: 10.3390/jcdd11090291.
7
The Application of Artificial Intelligence in Atrial Fibrillation Patients: From Detection to Treatment.
Rev Cardiovasc Med. 2024 Jul 10;25(7):257. doi: 10.31083/j.rcm2507257. eCollection 2024 Jul.
8
Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review.
J Clin Med. 2024 Jul 29;13(15):4442. doi: 10.3390/jcm13154442.
9
Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation.
BMC Med Inform Decis Mak. 2024 Aug 8;24(1):225. doi: 10.1186/s12911-024-02616-x.
10
Value of Imaging in the Non-Invasive Prediction of Recurrence after Catheter Ablation in Patients with Atrial Fibrillation: An Up-to-Date Review.
Rev Cardiovasc Med. 2023 Aug 18;24(8):241. doi: 10.31083/j.rcm2408241. eCollection 2023 Aug.
本文引用的文献
1
Anatomical changes in the pulmonary veins and left atrium after cryoballoon ablation.
Pacing Clin Electrophysiol. 2020 Nov;43(11):1289-1294. doi: 10.1111/pace.14092. Epub 2020 Oct 21.
2
Morphological and functional parameters of left atrial appendage play a greater role in atrial fibrillation relapse after radiofrequency ablation.
Sci Rep. 2020 May 15;10(1):8072. doi: 10.1038/s41598-020-65056-3.
3
Magnetic resonance imaging-based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade.
Eur Radiol. 2020 Aug;30(8):4615-4622. doi: 10.1007/s00330-020-06788-8. Epub 2020 Apr 9.
4
Synthetic Fractal Modelling of Heterogeneous and Anisotropic Reservoirs for Use in Simulation Studies: Implications on Their Hydrocarbon Recovery Prediction.
Transp Porous Media. 2017;116(1):181-212. doi: 10.1007/s11242-016-0770-3. Epub 2016 Oct 1.
5
Left atrial functional and structural changes associated with ablation of atrial fibrillation - Cardiac magnetic resonance study.
Int J Cardiol. 2020 Apr 15;305:154-160. doi: 10.1016/j.ijcard.2019.12.010. Epub 2019 Dec 6.
6
Association Between Pre-Ablation Glycemic Control and Outcomes Among Patients With Diabetes Undergoing Atrial Fibrillation Ablation.
JACC Clin Electrophysiol. 2019 Aug;5(8):897-903. doi: 10.1016/j.jacep.2019.05.018. Epub 2019 Jul 31.
7
Periatrial Fat Quality Predicts Atrial Fibrillation Ablation Outcome.
Circ Cardiovasc Imaging. 2019 Jun;12(6):e008764. doi: 10.1161/CIRCIMAGING.118.008764. Epub 2019 Jun 10.
8
Cardiac Computed Tomography for Atrial Fibrillation Patients Undergoing Ablation: Implications for the Prediction of Early Recurrence.
J Thorac Imaging. 2020 May;35(3):186-192. doi: 10.1097/RTI.0000000000000425.
9
New Model of Automated Patient-Reported Outcomes Applied in Atrial Fibrillation.
Circ Arrhythm Electrophysiol. 2019 Mar;12(3):e006986. doi: 10.1161/CIRCEP.118.006986.
10
Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study.
Sci Rep. 2019 Feb 4;9(1):1130. doi: 10.1038/s41598-018-37916-6.
Zotero 插件