Literature DB >> 19396504

Influence of 99mTc-tetrofosmin SPECT myocardial perfusion imaging on the prediction of future adverse cardiac events.

Diwakar Jain1, Harry Lessig, Riti Patel, Leonard Sandler, Fred Weiland, Steven L Edell, M Elizabeth Oates, Erin O'Malley-Tysko, Natalie Khutoryansky, Arnold F Jacobson.   

Abstract

BACKGROUND: The impact of myocardial perfusion imaging (MPI) on prediction of risk for future cardiac events was examined by comparing predictions based on clinical information alone and in combination with MPI findings. METHODS AND
RESULTS: A 3-cardiologist Cardiac Event Prediction Panel (CEPP) estimated three-year cardiac event (non-fatal MI; aborted sudden cardiac death; cardiac death) risk based on clinical data (C) for 371 subjects. CEPP repeated this estimation after receiving Summed Stress Scores (SSS) and Summed Rest Scores (SRS) from blinded reading of rest-stress (99m)Tc-tetrofosmin MPI SPECT studies (C + MPI). The C and C + MPI estimates were then compared with three-year and total event rates. MPI was normal (SSS </= 3) in 227 patients (61%), mildly abnormal (SSS 4-8) in 31 (8%), moderately abnormal (SSS 9-13) in 36 (10%), and severely abnormal (SSS > 13) in 77 (21%). Eighteen cardiac events occurred within 3 years and 33 occurred during a mean follow-up of 3.9 years. C + MPI estimates of low risk (<1-1.5%/year) identified significantly more patients who did not have events than C. C + MPI three-year event-rate predictions were more accurate than those made with C (P < .01). C + MPI categorization also provided better delineation of incremental risk on time-to-event analyses.
CONCLUSIONS: (99m)Tc-tetrofosmin MPI single photon emission computed tomography (SPECT) findings significantly improve accuracy of cardiac event rate prediction compared to those based on clinical information alone.

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Year:  2009        PMID: 19396504     DOI: 10.1007/s12350-009-9080-2

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  17 in total

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2.  Prediction of coronary heart disease using risk factor categories.

Authors:  P W Wilson; R B D'Agostino; D Levy; A M Belanger; H Silbershatz; W B Kannel
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Review 3.  27th Bethesda Conference: matching the intensity of risk factor management with the hazard for coronary disease events. Task Force 5. Stratification of patients into high, medium and low risk subgroups for purposes of risk factor management.

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4.  A prognostic score for prediction of cardiac mortality risk after adenosine stress myocardial perfusion scintigraphy.

Authors:  Rory Hachamovitch; Sean W Hayes; John D Friedman; Ishac Cohen; Daniel S Berman
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5.  Incremental prognostic value of myocardial perfusion single photon emission computed tomography for the prediction of cardiac death: differential stratification for risk of cardiac death and myocardial infarction.

Authors:  R Hachamovitch; D S Berman; L J Shaw; H Kiat; I Cohen; J A Cabico; J Friedman; G A Diamond
Journal:  Circulation       Date:  1998-02-17       Impact factor: 29.690

6.  Usefulness of exercise myocardial scintigraphy in multivessel coronary disease after incomplete revascularization with coronary stenting.

Authors:  Alfredo R Galassi; Carmelo Grasso; Salvatore Azzarelli; Gianpaolo Ussia; Shahram Moshiri; Corrado Tamburino
Journal:  Am J Cardiol       Date:  2006-01-15       Impact factor: 2.778

7.  Incremental prognostic value of technetium-99m-tetrofosmin exercise myocardial perfusion imaging for predicting outcomes in patients with suspected or known coronary artery disease.

Authors:  A R Galassi; S Azzarelli; A Tomaselli; R Giosofatto; A Ragusa; S Musumeci; C Tamburino; G Giuffrida
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8.  Prognostic value of normal exercise and adenosine (99m)Tc-tetrofosmin SPECT imaging: results from the multicenter registry of 4,728 patients.

Authors:  Leslee J Shaw; Robert Hendel; Salvador Borges-Neto; Michael S Lauer; Naomi Alazraki; Joy Burnette; Elizabeth Krawczynska; Manuel Cerqueira; Jamshid Maddahi
Journal:  J Nucl Med       Date:  2003-02       Impact factor: 10.057

9.  Comparison of the multivariate analysis and CADENZA systems for determination of the probability of coronary artery disease.

Authors:  P S Greenberg; M H Ellestad; R C Clover
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Review 10.  Myocardial perfusion scintigraphy: the evidence.

Authors:  S R Underwood; C Anagnostopoulos; M Cerqueira; P J Ell; E J Flint; M Harbinson; A D Kelion; A Al-Mohammad; E M Prvulovich; L J Shaw; A C Tweddel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-02       Impact factor: 9.236

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  6 in total

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Review 2.  Cardiovascular complications of radiation therapy for thoracic malignancies: the role for non-invasive imaging for detection of cardiovascular disease.

Authors:  John D Groarke; Paul L Nguyen; Anju Nohria; Roberto Ferrari; Susan Cheng; Javid Moslehi
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4.  Prognostic value of automated SPECT scoring system for coronary artery disease in stress myocardial perfusion and fatty acid metabolism imaging.

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Journal:  Int J Cardiovasc Imaging       Date:  2012-07-11       Impact factor: 2.357

5.  Long-term prognostic value of exercise technetium-99m tetrofosmin myocardial perfusion single-photon emission computed tomography.

Authors:  Hendrik J Boiten; Johannes N van der Sijde; Pauline R Ruitinga; Roelf Valkema; Marcel L Geleijnse; Eric J G Sijbrands; Ron T van Domburg; Arend F L Schinkel
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6.  Negative predictive value of SPECT for the occurrence of MACE in a medium-sized clinic in the Netherlands.

Authors:  M J Bom; J M B Manders; R Uijlings; E A Badings; F M A C Martens
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  6 in total

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