Quantitative 3D evaluation of myocardial perfusion during regadenoson stress using multidetector computed tomography

Victor Mor-Avi*, Nadjia Kachenoura, Joseph A. Lodato, Sonal Chandra, Benjamin H. Freed, Barbara Newby, Roberto M. Lang, Amit R. Patel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We tested the hypothesis that quantitative 3D analysis of myocardial perfusion from MDCT images obtained during regadenoson stress would more accurately detect the presence of significant coronary artery disease (CAD) than the same analysis when performed on resting MDCT images. Fifty consecutive patients referred for CT coronary angiography (CTCA) underwent additional imaging with regadenoson (0.4mg, Astellas) using prospective gating (256-channel, Philips). Custom software was used to calculate for each myocardial segment an index of severity and extent of perfusion abnormality, Qh, which was compared to perfusion defects predicted by the presence and severity of coronary stenosis on CTCA. In segments supplied by arteries with luminal narrowing >50%, myocardial attenuation was slightly reduced compared to normally perfused segments at rest (91±21 vs. 93±26 HU, NS), and to a larger extent at stress (102±21 vs. 112±20 HU, p<0.05). In contrast, index Qh was significantly increased in these segments at rest (0.40±0.48 vs. 0.26±0.41, p<0.05) and reached a nearly 3-fold difference at stress (0.66±0.74 vs. 0.28±0.51, p<0.05). The addition of regadenoson improved the diagnosis of CAD, as reflected by an increase in sensitivity (from 0.57 to 0.91) and improvement in accuracy (0.65 to 0.77). In conclusion, quantitative 3D analysis of MDCT images allows objective detection of CAD, the accuracy of which is improved by regadenoson stress.

Original languageEnglish (US)
Title of host publicationComputing in Cardiology 2012, CinC 2012
Number of pages4
StatePublished - Dec 1 2012
Event39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland
Duration: Sep 9 2012Sep 12 2012

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


Other39th Computing in Cardiology Conference, CinC 2012

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine


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