Validation of advanced ECG diagnostic software for the detection of prior myocardial infarction by using nuclear cardiac imaging

The investigators report the diagnostic performance of the latest version (Version 2.5) of the recently developed Cardiovise algorithm for detecting prior myocardial infarction (MI). The Cardiovise 2.5 prior MI algorithm, a component of Cardiovise Cardiac Diagnostic System (Inovise Medical, Inc, New...

Full description

Saved in:
Bibliographic Details
Published in:Journal of electrocardiology 2001-01, Vol.34 (4), p.243-248
Main Authors: Andresen, Alan, Dobkin, Jeff, Maynard, Charles, Myers, Rick, Wagner, Galen S., Warner, Robert A., Selvester, Ronald H.S.
Format: Article
Language:English
Subjects:
Algorithms
Electrocardiography
Heart - diagnostic imaging
Humans
Myocardial Infarction - diagnosis
Radionuclide Imaging
Radiopharmaceuticals
Sensitivity and Specificity
Software Validation
Technetium Tc 99m Sestamibi
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The investigators report the diagnostic performance of the latest version (Version 2.5) of the recently developed Cardiovise algorithm for detecting prior myocardial infarction (MI). The Cardiovise 2.5 prior MI algorithm, a component of Cardiovise Cardiac Diagnostic System (Inovise Medical, Inc, Newberg, OR), uses scalar QRS, scalar T wave, and vectorcardiographic QRS criteria for detecting, sizing, and localizing prior MI. In this study only the detection part of the algorithm's performance was evaluated, using 105 patients with and 98 patients without prior MI as indicated by the results of cardiac imaging with Sestamibi. The specificity, and sensitivity of Cardiovise 2.5 for detecting prior MI in this population of patients are 97% and 79%, respectively. The sensitivity and overall diagnostic performance of Cardiovise 2.5 was significantly better than those of a total of 6 human readers (3 cardiologists and 3 primary care physicians) and to 2 commercially available ECG diagnostic algorithms.
ISSN:0022-0736
1532-8430
DOI:10.1054/jelc.2001.28907