Prognostic role of myocardial single photon emission computed tomography in the elderly

Pasquale Perrone-Filardi, Pierluigi Costanzo, Santo Dellegrottaglie, Paola Gargiulo, Donatella Ruggiero, Gianluigi Savarese, Antonio Parente, Carmen D'Amore, Alberto Cuocolo, Massimo Chiariello

Research output: Contribution to journalArticlepeer-review


The increase in average life expectancy will move the burden of coronary artery disease (CAD) to older patients. Myocardial perfusion imaging by single photon emission computed tomography (SPECT) has been extensively validated for diagnosis and prognostic evaluation in large population series. Yet, its use is usually limited in elderly patients in whom, despite increased absolute cardiovascular risk, diagnostic and therapeutic work-up is often underperformed. American College of Cardiology/American Heart Association guidelines recommend exercise ECG testing as the initial noninvasive method for assessment of CAD in patients with a normal or near-normal resting ECG, regardless of age. However, a considerable proportion of elderly patients is unable to reach an adequate workload during the exercise test and the majority of those undergoing for standard exercise treadmill score are classified as intermediate risk. In elderly patients, SPECT imaging may provide valuable diagnostic and prognostic information for clinical management. In particular, normal or near normal SPECT identifies elderly patients at low risk of major adverse cardiac events at the short-term follow-up.

Original languageEnglish
Pages (from-to)310-315
Number of pages6
JournalJournal of Nuclear Cardiology
Issue number2
Publication statusPublished - Apr 2010


  • Coronary artery disease
  • Elderly
  • Myocardial perfusion imaging
  • Single photon emission computed tomography

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Prognostic role of myocardial single photon emission computed tomography in the elderly'. Together they form a unique fingerprint.

Cite this