scholarly journals Transient accelerated junctional rhythm late after para-Hisian accessory pathway cryoablation: a new phenomenon

EP Europace ◽  
2010 ◽  
Vol 13 (1) ◽  
pp. 135-137 ◽  
Author(s):  
Bich Lien Nguyen ◽  
Walter Kerwin ◽  
Carlo Gaudio ◽  
Eli S. Gang
Keyword(s):  
Accessory Pathway ◽  
Junctional Rhythm

scholarly journals Delayed radiofrequency ablation efficacy in slow pathway ablation: a case report

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Ivan Zeljković ◽  
Nikola Pavlović ◽  
Vjekoslav Radeljić ◽  
Šime Manola
Keyword(s):  
Accessory Pathway ◽  
Three Dimensional ◽  
Premature Ventricular Contraction ◽  
Slow Pathway ◽  
Rf Ablation ◽  
Delayed Effect ◽  
Mapping Procedure ◽  
Junctional Rhythm ◽  
Slow Pathway Ablation

Abstract Background The delayed effect of radiofrequency (RF) ablation was described in cases of accessory pathway and premature ventricular contraction ablation, as well as delayed atrioventricular (AV) block after slow pathway ablation. Case summary We report a case of a female patient with AV nodal re-entry tachycardia (AVNRT), in whom the first electrophysiology study ended with acute failure of slow pathway ablation, despite using long steerable sheath, both right and left-sided ablation with >15 min of RF energy application and repeatedly achieving junctional rhythm. Six weeks afterwards, during scheduled three-dimensional electroanatomical mapping procedure, there was no proof of dual AV nodal conduction nor could the tachycardia be induced. Also, the patient did not have palpitations between the two procedures nor during the 12-month follow-up period. Discussion This case illustrates that watchful waiting for delayed RF ablation efficacy in some cases of AVNRT ablation could be reasonable, in order to reduce the risk of complications associated with slow pathway ablation.

Clinical Experience with a Novel, Irrigated, Flexible Tip Ablation Catheter to Optimise Therapy Delivery

2010 ◽  
Vol 6 (3) ◽  
pp. 66 ◽  
Author(s):  
Carlo Pappone ◽  
Luigi Giannelli ◽  
Vincenzo Santinelli ◽  
◽  
◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Atrial Flutter ◽  
Clinical Experience ◽  
Accessory Pathway ◽  
Surrounding Tissue ◽  
Ablation Catheter ◽  
Innovative Design ◽  
Cavotricuspid Isthmus ◽  
Arrhythmogenic Substrate ◽  
Therapy Delivery

Innovative technologies are being developed to make current ablation procedures safer and easier. Sometimes conventional ablation catheters cannot easily adapt to anatomical targets, making radiofrequency applications challenging, time consuming or even ineffective. The Cool Flex is a novel, flexible and fully-irrigated tip catheter with an innovative design and various angular orientations to better adapt the ablation tip to the surrounding tissue. Here, peliminary experience with this new ablation catheter is reported in the treatment of different tachyarrhythmias, including slow and accessory pathway ablation, cavotricuspid isthmus-dependent atrial flutter and atrial fibrillation. One or two radiofreqency applications may be sufficient to eliminate the arrhythmogenic substrate in most patients without complications.

scholarly journals Successful Ablation of a Unique Left-sided Accessory Pathway

2014 ◽  
Vol 53 (11) ◽  
pp. 1231-1232 ◽  
Author(s):  
Tadanobu Irie ◽  
Yoshiaki Kaneko ◽  
Tadashi Nakajima ◽  
Masahiko Kurabayashi
Keyword(s):  
Accessory Pathway ◽  
Successful Ablation

PP-282 LEFT LATERAL ACCESSORY PATHWAY AND IDIOPATHIC VENTRICULAR PREMATURE BEATS: A RARE COMBINATION

2013 ◽  
Vol 163 (3) ◽  
pp. S194
Author(s):  
N. Sen ◽  
M. Kurt ◽  
E. Büyükkaya ◽  
M.F. Karakaş ◽  
A.B. Akçay ◽  
...  
Keyword(s):  
Accessory Pathway ◽  
Ventricular Premature Beats ◽  
Rare Combination ◽  
Premature Beats

scholarly journals Accessory pathway analysis using a multimodal deep learning model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Makoto Nishimori ◽  
Kunihiko Kiuchi ◽  
Kunihiro Nishimura ◽  
Kengo Kusano ◽  
Akihiro Yoshida ◽  
...  
Keyword(s):  
Deep Learning ◽  
Electrophysiological Study ◽  
Accessory Pathway ◽  
Learning Model ◽  
X Rays ◽  
X Ray ◽  
Wpw Syndrome ◽  
Chest X Ray ◽  
Deep Learning Model ◽  
Ecg Data

AbstractCardiac accessory pathways (APs) in Wolff–Parkinson–White (WPW) syndrome are conventionally diagnosed with decision tree algorithms; however, there are problems with clinical usage. We assessed the efficacy of the artificial intelligence model using electrocardiography (ECG) and chest X-rays to identify the location of APs. We retrospectively used ECG and chest X-rays to analyse 206 patients with WPW syndrome. Each AP location was defined by an electrophysiological study and divided into four classifications. We developed a deep learning model to classify AP locations and compared the accuracy with that of conventional algorithms. Moreover, 1519 chest X-ray samples from other datasets were used for prior learning, and the combined chest X-ray image and ECG data were put into the previous model to evaluate whether the accuracy improved. The convolutional neural network (CNN) model using ECG data was significantly more accurate than the conventional tree algorithm. In the multimodal model, which implemented input from the combined ECG and chest X-ray data, the accuracy was significantly improved. Deep learning with a combination of ECG and chest X-ray data could effectively identify the AP location, which may be a novel deep learning model for a multimodal model.

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