Literature DB >> 11483678

Diagnostic performance of an expert system for the interpretation of myocardial perfusion SPECT studies.

E V Garcia1, C D Cooke, R D Folks, C A Santana, E G Krawczynska, L De Braal, N F Ezquerra.   

Abstract

UNLABELLED: An expert system (PERFEX) developed for the computer-assisted interpretation of myocardial perfusion SPECT studies is now becoming widely available. To date, a systematic validation of the diagnostic performance of this expert system for the interpretation of myocardial perfusion SPECT studies has not been reported.
METHODS: To validate PERFEX's ability to detect and locate coronary artery disease (CAD), we analyzed 655 stress/rest myocardial perfusion prospective SPECT studies in patients who also underwent coronary angiography. The patient population comprised CAD patients (n = 480) and healthy volunteers (n = 175) (449 men, 206 women). Data from 461 other patient studies were used to implement and refine 253 heuristic rules that best correlated the presence and location of left ventricular myocardial perfusion defects on SPECT studies with angiographically detected CAD and with human expert visual interpretations. Myocardial perfusion defects were automatically identified as segments with counts below sex-matched normal limits. PERFEX uses the certainty of the location, size, shape, and reversibility of the perfusion defects to infer the certainty of the presence and location of CAD. The visual interpretations of tomograms and polar maps, vessel stenosis from coronary angiography, and PERFEX interpretations were all accessed automatically from databases and were used to automatically generate comparisons between diagnostic approaches.
RESULTS: Using the physician's reading as a gold standard, PERFEX's sensitivity and specificity levels for detection and localization of disease were, respectively, 83% and 73% for CAD, 76% and 66% for the left anterior descending artery, 90% and 70% for the left circumflex artery, and 74% and 79% for the right coronary artery. These results were extracted from a receiver operating characteristic curve using the average optimal input certainty factor.
CONCLUSION: This study shows that the diagnostic performance of PERFEX for interpreting myocardial perfusion SPECT studies is comparable with that of nuclear medicine experts in detecting and locating CAD.

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Year:  2001        PMID: 11483678

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  22 in total

Review 1.  Quantification of SPECT myocardial perfusion imaging.

Authors:  Wanda Acampa; Wei He; Carmine di Nuzzo; Alberto Cuocolo
Journal:  J Nucl Cardiol       Date:  2002 May-Jun       Impact factor: 5.952

Review 2.  Advances in quantitative perfusion SPECT imaging.

Authors:  Edward P Ficaro; James R Corbett
Journal:  J Nucl Cardiol       Date:  2004 Jan-Feb       Impact factor: 5.952

Review 3.  Myocardial perfusion scintigraphy: past, present and future.

Authors:  A Notghi; C S Low
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

4.  The role of quantitation in clinical nuclear cardiology: the University of Virginia approach.

Authors:  Denny D Watson; William H Smith
Journal:  J Nucl Cardiol       Date:  2007-07       Impact factor: 5.952

5.  A software engine to justify the conclusions of an expert system for detecting renal obstruction on 99mTc-MAG3 scans.

Authors:  Ernest V Garcia; Andrew Taylor; Daya Manatunga; Russell Folks
Journal:  J Nucl Med       Date:  2007-03       Impact factor: 10.057

6.  The increasing role of quantification in clinical nuclear cardiology: the Emory approach.

Authors:  Ernest V Garcia; Tracy L Faber; C David Cooke; Russell D Folks; Ji Chen; Cesar Santana
Journal:  J Nucl Cardiol       Date:  2007-07       Impact factor: 5.952

7.  Evaluation of two diuresis renography decision support systems to determine the need for furosemide in patients with suspected obstruction.

Authors:  Andrew Taylor; Andrew N Hill; José N E Binongo; Amita K Manatunga; Raghuveer Halkar; Eva V Dubovsky; Ernest V Garcia
Journal:  AJR Am J Roentgenol       Date:  2007-05       Impact factor: 3.959

8.  Use of neural networks to improve quality control of interpretations in myocardial perfusion imaging.

Authors:  K Tägil; J Marving; M Lomsky; B Hesse; L Edenbrandt
Journal:  Int J Cardiovasc Imaging       Date:  2008-06-29       Impact factor: 2.357

9.  An open-source framework of neural networks for diagnosis of coronary artery disease from myocardial perfusion SPECT.

Authors:  Levent A Guner; Nese Ilgin Karabacak; Ozgur U Akdemir; Pinar Senkul Karagoz; Sinan A Kocaman; Atiye Cengel; Mustafa Unlu
Journal:  J Nucl Cardiol       Date:  2010-03-04       Impact factor: 5.952

10.  Computer-aided diagnosis system outperforms scoring analysis in myocardial perfusion imaging.

Authors:  Lena Johansson; Lars Edenbrandt; Kenichi Nakajima; Milan Lomsky; Sven-Eric Svensson; Elin Trägårdh
Journal:  J Nucl Cardiol       Date:  2014-01-18       Impact factor: 5.952

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