Accessory Pathway Localization by QRS Polarity in Children with Wolff‐Parkinson‐White Syndrome

Boersma, Lucas V.A.; García‐Morán, Emilio; Mont, Lluís; Brugada, Josép

doi:10.1046/j.1540-8167.2002.01222.x

Cited by 67 publications

(75 citation statements)

References 4 publications

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“…Boersma et al 7 described an algorithm developed through a retrospective analysis of 135 children with WPW syndrome undergoing RFA. The algorithm depends on the analysis of QRS polarity in leads V1, III, V3, I and aVF and localised pathways to one of seven positions around the tricuspid and mitral valves.…”

Section: Methodsmentioning

confidence: 99%

Accuracy of algorithms to predict accessory pathway location in children with Wolff–Parkinson–White syndrome

Wren

Vogel

Lord

et al. 2011

Heart

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Section: Methodsmentioning

confidence: 99%

Accuracy of algorithms to predict accessory pathway location in children with Wolff–Parkinson–White syndrome

Wren

Vogel

Lord

et al. 2011

Heart

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“…Unfortunately we had no possibility to realize a test with the registrations used in case of Arruda's method testing. The about 89% recognition rate we considered quite good, compared with the highest published value of 90% [24][25][26][27][28]. These considerations could be useful to create a better noninvasive localization method.…”

Section: Resultsmentioning

confidence: 55%

Sensibility analysis of the Arruda localization method

Szilágyi

Benyó

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

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This paper presents an analysis of the Arruda accessory pathway localization method (for patients suffering from Wolff-Parkinson-White syndrome) with suggestions to increase the overall performance. The Arruda method was tested on a total of 121 patients, and a 90% localization performance was reached. This was considered almost as performing result as the highest published (90%) by L. Boersma in 2002. After a deeper analysis of each decision point of Arruda localization method we considered that the lead AVF is not as relevant as other used leads (I, II, III, V1). The overall performance (90%) was slightly lower then the correct decision rate (91.67%) at the weakest decision element (AVF+) of the method. The vectorial space constructed from the most used leads (II, V1, AVF) is not orthogonal which can be a reason for weaker rate in case of AVF.

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“…Up to now, many algorithms have been invented and validated for this purpose (3)(4)(5). All these algorithms have their own sensitivity and specificity (6).…”

Section: Discussionmentioning

confidence: 99%

“…Crux area is around the poster septal area. Using ECG algorithm, the large posteroseptal area should be mapped (3)(4)(5). However, using this ECG, mapping can be started in the crux.…”

Section: Introductionmentioning

confidence: 99%

Interesting ECG Pattern in Accessory Pathway of Crux

Nikoo¹,

Jorat²,

Aslani³

2016

Int Cardiovasc Res J

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A B S T R A C TUsing Electrocardiographic criteria is usual for determining the best site for ablating accessory pathways. Many algorithms are present in this regard, but there are still many facts to be found. The present study aimed to reduce fluoroscopic time by using a special electrocardiographic sign. This study was performed on a young lady with palpitation, negative delta wave in V1 and V3, and positive delta wave in V2. Positive delta in V2 intervened with negative delta in V1 and V3 localized in the crux area for accessory pathway. This might help reduce the procedure time and increase the success rate. This exceptional electrocardiography could be used to locate the site of ablation, increase the rate of success, and reduce radiation exposure.

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Accessory Pathway Localization by QRS Polarity in Children with Wolff‐Parkinson‐White Syndrome

Abstract: AP characterization by QRS polarity in children with WPW syndrome is more diverse than in adults and requires other ECG leads to establish five AP regions.

Cited by 67 publications

References 4 publications

Accuracy of algorithms to predict accessory pathway location in children with Wolff–Parkinson–White syndrome

Accuracy of algorithms to predict accessory pathway location in children with Wolff–Parkinson–White syndrome

Sensibility analysis of the Arruda localization method

Interesting ECG Pattern in Accessory Pathway of Crux

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