Literature DB >> 20466388

When deriving the spatial QRS-T angle from the 12-lead electrocardiogram, which transform is more Frank: regression or inverse Dower?

Daniel L Cortez1, Todd T Schlegel.   

Abstract

INTRODUCTION: Our primary objective was to ascertain which commonly used 12-to-Frank-lead transformation yields spatial QRS-T angle values closest to those obtained from simultaneously collected true Frank-lead recordings.
MATERIALS AND METHODS: Simultaneous 12-lead and Frank XYZ-lead recordings were analyzed for 100 postmyocardial infarction patients and 50 controls. Relative agreement, with true Frank-lead results, of 12-to-Frank-lead-transformed results for the spatial QRS-T angle using Kors' regression versus inverse Dower was assessed via analysis of variance, Lin's concordance, and Bland-Altman plots.
RESULTS: Spatial QRS-T angles from the true Frank leads were not significantly different than those derived from the Kors' regression-related transformation but were significantly smaller than those derived from the inverse Dower-related transformation (P < .001). Independent of method, spatial mean QRS-T angles were also always significantly larger than spatial "maximum" ("peaks") QRS-T angles. DISCUSSION: Spatial QRS-T angles are best approximated by regression-related transforms. Spatial mean and spatial "peaks" QRS-T angles should not be used interchangeably. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2010        PMID: 20466388     DOI: 10.1016/j.jelectrocard.2010.03.010

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  15 in total

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Authors:  Saara Sillanmäki; Jukka A Lipponen; Mika P Tarvainen; Tiina Laitinen; Marja Hedman; Antti Hedman; Antti Kivelä; Hanna Hämäläinen; Tomi Laitinen
Journal:  J Nucl Cardiol       Date:  2018-02-08       Impact factor: 5.952

4.  Assessment of cardiac variables using a new electrocardiography lead system in horses.

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5.  Statistical Evaluation of Transformation Methods Accuracy on Derived Pathological Vectorcardiographic Leads.

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Journal:  IEEE J Transl Eng Health Med       Date:  2022-04-13

Review 6.  QRS-T angle: a review.

Authors:  Andrew Oehler; Trevor Feldman; Charles A Henrikson; Larisa G Tereshchenko
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-09-09       Impact factor: 1.468

7.  Beat-to-beat vectorcardiographic analysis of ventricular depolarization and repolarization in myocardial infarction.

Authors:  Muhammad A Hasan; Derek Abbott; Mathias Baumert
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

8.  Plasma Hyperosmolality Prolongs QTc Interval and Increases Risk for Atrial Fibrillation in Traumatic Brain Injury Patients.

Authors:  Wojciech Dabrowski; Dorota Siwicka-Gieroba; Chiara Robba; Rafael Badenes; Mateusz Bialy; Paulina Iwaniuk; Todd T Schlegel; Andrzej Jaroszynski
Journal:  J Clin Med       Date:  2020-04-30       Impact factor: 4.241

9.  Comparison of sum absolute QRST integral, and temporal variability in depolarization and repolarization, measured by dynamic vectorcardiography approach, in healthy men and women.

Authors:  Sanjoli Sur; Lichy Han; Larisa G Tereshchenko
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

10.  Clinical value of different QRS-T angle expressions.

Authors:  Katerina Hnatkova; Joachim Seegers; Petra Barthel; Tomas Novotny; Peter Smetana; Markus Zabel; Georg Schmidt; Marek Malik
Journal:  Europace       Date:  2018-08-01       Impact factor: 5.214

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