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The optimal reference population for cardiac normality in myocardial SPET in the detection of coronary artery stenoses: patients with normal coronary angiography or subjects with low likelihood of coronary artery disease?

Toft, Jens; Lindahl, Dan LU ; Ohlsson, Mattias LU ; Palmer, John LU ; Lundin, Anders LU ; Edenbrandt, Lars LU and Hesse, Birger (2001) In European Journal Of Nuclear Medicine 28(7). p.831-835
Abstract
Both subjects with a low likelihood for coronary artery disease (CAD) and patients with normal findings on coronary angiography have been used as reference populations in non-invasive stress testing, including myocardial perfusion scintigraphy. Both of these criteria of normality--low likelihood of CAD and normal coronary angiography--have been criticised, and consensus on this issue is lacking. The aim of this study was to compare two different reference populations by testing the performance of artificial neural networks designed to interpret myocardial scintigrams. The networks were trained on myocardial perfusion scintigrams from 87 patients with angiographically documented CAD and on studies from one of two different reference groups:... (More)
Both subjects with a low likelihood for coronary artery disease (CAD) and patients with normal findings on coronary angiography have been used as reference populations in non-invasive stress testing, including myocardial perfusion scintigraphy. Both of these criteria of normality--low likelihood of CAD and normal coronary angiography--have been criticised, and consensus on this issue is lacking. The aim of this study was to compare two different reference populations by testing the performance of artificial neural networks designed to interpret myocardial scintigrams. The networks were trained on myocardial perfusion scintigrams from 87 patients with angiographically documented CAD and on studies from one of two different reference groups: 48 patients with no signs of CAD based on angiography or 128 healthy volunteers with a likelihood for CAD <5%. The performance of the two different networks was then tested using scintigrams from a separate test group of 68 patients. Coronary angiography was used as the gold standard in this group. The network trained on patients with no signs of CAD based on angiography showed an area under the receiver operating characteristic (ROC) curve of 93%. The ROC area for the network trained on healthy volunteers was 72%, and this difference was statistically significant (P=0.03). The results of this study using artificial neural networks suggest that normal angiography should be preferred as the reference standard in myocardial scintigraphy when a patient is examined for CAD prior to possible angiography. Whether the same is true for other indications, e.g. in prognostic evaluation, is unknown. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Reference standards, Normality, Neural network, Myocardial single-photon emission tomography
in
European Journal Of Nuclear Medicine
volume
28
issue
7
pages
831 - 835
publisher
Springer
external identifiers
  • pmid:11504079
  • scopus:0034919714
ISSN
1432-105X
DOI
10.1007/s002590100538
language
English
LU publication?
yes
id
6b162a74-411c-43ec-a090-017c10316aad (old id 1121518)
date added to LUP
2008-07-16 10:58:33
date last changed
2018-01-07 05:31:05
@article{6b162a74-411c-43ec-a090-017c10316aad,
  abstract     = {Both subjects with a low likelihood for coronary artery disease (CAD) and patients with normal findings on coronary angiography have been used as reference populations in non-invasive stress testing, including myocardial perfusion scintigraphy. Both of these criteria of normality--low likelihood of CAD and normal coronary angiography--have been criticised, and consensus on this issue is lacking. The aim of this study was to compare two different reference populations by testing the performance of artificial neural networks designed to interpret myocardial scintigrams. The networks were trained on myocardial perfusion scintigrams from 87 patients with angiographically documented CAD and on studies from one of two different reference groups: 48 patients with no signs of CAD based on angiography or 128 healthy volunteers with a likelihood for CAD &lt;5%. The performance of the two different networks was then tested using scintigrams from a separate test group of 68 patients. Coronary angiography was used as the gold standard in this group. The network trained on patients with no signs of CAD based on angiography showed an area under the receiver operating characteristic (ROC) curve of 93%. The ROC area for the network trained on healthy volunteers was 72%, and this difference was statistically significant (P=0.03). The results of this study using artificial neural networks suggest that normal angiography should be preferred as the reference standard in myocardial scintigraphy when a patient is examined for CAD prior to possible angiography. Whether the same is true for other indications, e.g. in prognostic evaluation, is unknown.},
  author       = {Toft, Jens and Lindahl, Dan and Ohlsson, Mattias and Palmer, John and Lundin, Anders and Edenbrandt, Lars and Hesse, Birger},
  issn         = {1432-105X},
  keyword      = {Reference standards,Normality,Neural network,Myocardial single-photon emission tomography},
  language     = {eng},
  number       = {7},
  pages        = {831--835},
  publisher    = {Springer},
  series       = {European Journal Of Nuclear Medicine},
  title        = {The optimal reference population for cardiac normality in myocardial SPET in the detection of coronary artery stenoses: patients with normal coronary angiography or subjects with low likelihood of coronary artery disease?},
  url          = {http://dx.doi.org/10.1007/s002590100538},
  volume       = {28},
  year         = {2001},
}