title: Risk assessment by myocardial perfusion imaging for coronary revascularization, medical therapy, and noncardiac surgery.
abstract: Stress myocardial perfusion imaging (MPI) has become an important tool in risk stratification of patients with known coronary artery disease. A normal myocardial perfusion scan has a high negative predictive value and is associated with low annual mortality rate (< 1%). Patients with extensive ischemia (> 20% of the left ventricle), defects in more than 1 coronary vascular territory, transient or persistent left ventricular cavity dilation, and ejection fraction less than 45% have a high annual mortality rate (> 3%). Those patients should undergo coronary revascularization whenever feasible, as the cardiac event rate increases in proportion to the magnitude of the jeopardized myocardium. Stress MPI can be used to demonstrate ischemia in patients with symptoms early after coronary artery bypass surgery (< 5 years) or in those without symptoms late (>/= 5 years) after coronary artery bypass surgery. With respect to patients who underwent percutaneous interventions, stress MPI can help detect in-stent restenosis early after the intervention (3-6 months) or assess the progression of native coronary disease afterward. Since preliminary data suggest that a reduction in the perfusion defect size may translate to a reduction of coronary events, stress MPI can help assess the efficacy of medical management of coronary disease. Finally, stress MPI is indicated for perioperative cardiac risk stratification for noncardiac surgery in patients with intermediate risk predictors (mild angina, prior myocardial infarction or heart failure symptoms, diabetes mellitus, renal insufficiency) and poor functional capacity or in those who undergo high-risk surgery with significant implications in further preoperative management.
authors.affiliation: Cardiovascular Fellow, Nuclear Cardiology Laboratory, Hartford Hospital, University of Connecticut Medical Center, Hartford, Connecticut 06102, USA.
authors.forename: Georgios I
authors.initials: GI
authors.lastname: Papaioannou
authors.forename: Gary V
authors.initials: GV
authors.lastname: Heller
mesh_terms: D000465:Algorithms; D003327:Coronary Disease / Q000000981:diagnostic imaging* / Q000188:drug therapy; D006801:Humans; D007431:Intraoperative Complications / Q000175:diagnosis; D009203:Myocardial Infarction / Q000175:diagnosis; D009204:Myocardial Revascularization / Q000379:methods*; D011237:Predictive Value of Tests; D011300:Preoperative Care; D018570:Risk Assessment; D015899:Tomography, Emission-Computed, Single-Photon