A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT
Autor: | Milind Y. Desai, Anant Madabhushi, Paul Schoenhagen, Thomas Atta-Fosu, Michael LaBarbera, Patrick J. Tchou, Walid Saliba, Soumya Ghose, Deborah Kwon, Mina K. Chung, Bruce D. Lindsay |
---|---|
Rok vydání: | 2021 |
Předmět: |
Male
medicine.medical_specialty lcsh:Medical technology medicine.medical_treatment Atrial shape morphology 030204 cardiovascular system & hematology Pulmonary vein Machine Learning 03 medical and health sciences 0302 clinical medicine Recurrence Left atrial Internal medicine medicine Humans Shape differentiation Atrial Appendage Radiology Nuclear Medicine and imaging Sinus rhythm Heart Atria Atrial radiomic features 030212 general & internal medicine Aged Retrospective Studies Ejection fraction business.industry Patient model Atrial fibrillation Cryoablation Atrial fibrillation recurrence Middle Aged Prognosis medicine.disease Ablation ROC Curve lcsh:R855-855.5 Pulmonary Veins Left atrium Catheter Ablation Cardiology Female business Research Article |
Zdroj: | BMC Medical Imaging, Vol 21, Iss 1, Pp 1-12 (2021) BMC Medical Imaging |
ISSN: | 1471-2342 |
Popis: | Objective To investigate left atrial shape differences on CT scans of atrial fibrillation (AF) patients with (AF+) versus without (AF−) post-ablation recurrence and whether these shape differences predict AF recurrence. Methods This retrospective study included 68 AF patients who had pre-catheter ablation cardiac CT scans with contrast. AF recurrence was defined at 1 year, excluding a 3-month post-ablation blanking period. After creating atlases of atrial models from segmented AF+ and AF− CT images, an atlas-based implicit shape differentiation method was used to identify surface of interest (SOI). After registering the SOI to each patient model, statistics of the deformation on the SOI were used to create shape descriptors. The performance in predicting AF recurrence using shape features at and outside the SOI and eight clinical factors (age, sex, left atrial volume, left ventricular ejection fraction, body mass index, sinus rhythm, and AF type [persistent vs paroxysmal], catheter-ablation type [Cryoablation vs Irrigated RF]) were compared using 100 runs of fivefold cross validation. Results Differences in atrial shape were found surrounding the pulmonary vein ostia and the base of the left atrial appendage. In the prediction of AF recurrence, the area under the receiver-operating characteristics curve (AUC) was 0.67 for shape features from the SOI, 0.58 for shape features outside the SOI, 0.71 for the clinical parameters, and 0.78 combining shape and clinical features. Conclusion Differences in left atrial shape were identified between AF recurrent and non-recurrent patients using pre-procedure CT scans. New radiomic features corresponding to the differences in shape were found to predict post-ablation AF recurrence. |
Databáze: | OpenAIRE |
Externí odkaz: |