Correlation Engine 2.0
Clear Search sequence regions


  • block (6)
  • Branch (7)
  • female (1)
  • humans (1)
  • patients (6)
  • photon (1)
  • positron (1)
  • rhythm (6)
  • Sizes of these terms reflect their relevance to your search.

    The difference in diagnostic accuracy of coronary artery disease (CAD) between vasodilator SPECT and PET myocardial perfusion imaging (MPI) in patients with left bundle branch block (LBBB) or ventricular-paced rhythm (VPR) is unknown. We identified patients with LBBB or VPR who underwent either vasodilator SPECT or PET MPI and subsequent coronary angiography. LBBB/VPR-related septal and anteroseptal defects were defined as perfusion defects involving those regions in the absence of obstructive CAD in the left anterior descending artery or left main coronary artery. Of the 55 patients who underwent coronary angiography, 38 (69%) underwent SPECT and 17 patients (31%) underwent PET. PET compared to SPECT demonstrated higher sensitivity (88% vs 60%), specificity (56% vs 14%), positive predictive value (64% vs 20%), negative predictive value (83% vs 50%), and overall superior diagnostic accuracy (AUC .72 (95% CI .50-.93) vs .37 (95% CI .20-.54), P = .01) to detect obstructive CAD. LBBB/VPR-related septal and anteroseptal defects were more common with SPECT compared to PET (septal: 72% vs 17%, P = .001; anteroseptal: 47% vs 8%, P = .02). PET has higher diagnostic accuracy when compared to SPECT for the detection of obstructive CAD in patients with LBBB or VPR.

    Citation

    Mahesh K Vidula, Philip Wiener, Senthil Selvaraj, Muhammad Shoaib Khan, Usman Abdul Salam, Chaitanya Rojulpote, Scott D Metzler, Srinivas Denduluri, Marie Guerraty, Howard Julien, Paco E Bravo. Diagnostic accuracy of SPECT and PET myocardial perfusion imaging in patients with left bundle branch block or ventricular-paced rhythm. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology. 2021 Jun;28(3):981-988

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 33083984

    View Full Text