Multivariable Assessment of Coronary Artery Disease Using Cardiac CT Imaging



Status:Completed
Conditions:Peripheral Vascular Disease, Cardiology
Therapuetic Areas:Cardiology / Vascular Diseases
Healthy:No
Age Range:18 - Any
Updated:4/21/2016
Start Date:March 2009
End Date:January 2013

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The investigators goals are:

1. to develop software for quantitative volumetric analysis of myocardial perfusion from
MDCT images

2. to test its ability to accurately determine the presence, location, extend and severity
of perfusion abnormalities in agreement with conventional diagnostic techniques (ICA
and MPI) in patients with normal and abnormal coronary arteries and/or perfusion
patterns

3. to test this approach in patients undergoing vasodilator stress tests with MDCT imaging
in combination with the new vasodilator stress agent Regadenoson.

Background

Multidetector computed tomography (MDCT) is the most recent addition to the arsenal of
cardiac imaging modalities. With its unparalleled spatial resolution and well established
techniques for contrast enhancement using conventional iodine-based agents, it allows
visualization of coronary arteries and is thus increasingly used as an alternative to
invasive coronary angiography (ICA) (de Roos A. et al. 07,Deetjen et al. 07,Schroeder et al.
08). The diagnostic value of noninvasive coronary angiography (CTCA) has been established
against conventional techniques used for the diagnosis and evaluation of coronary artery
disease (CAD), including ICA (Budoff et al. 07,Leber et al. 05,Raff et al. 05,Rubinshtein et
al. 07) and SPECT myocardial perfusion imaging (MPI) (Hacker et al. 07,Rubinshtein et al.
07,Schuijf et al. 06). Nevertheless, the physiological significance of intermediate grade
stenosis detected by CTCA in individual patients is unknown and such patients are routinely
referred for stress testing in order to define individual therapeutic strategy. It has been
suggested that intramyocardial distribution of contrast during the arterial phase of
enhancement may be related to myocardial perfusion (Cury et al. 07). Several studies have
demonstrated hypo-enhanced areas corresponding to myocardial scar tissue in a small number
of patients post myocardial infarction (MI) (Gerber et al. 06,Henneman et al. 06,Mahnken et
al. 05,Nieman et al. 06,Nikolaou et al. 05), and in animal models of acute MI (George et al.
07,Gerber et al. 06,Hoffmann et al. 04,Lardo et al. 06). Our hypothesis is that perfusion
information, which can be extracted from images acquired for CTCA without additional
radiation exposure or contrast load, could be a useful addition to the MDCT evaluation of
ischemic heart disease (IHD).

Accordingly, we recently completed a study designed to determine the value of MDCT
assessment of resting myocardial perfusion in consecutive patients referred to CTCA. In this
study, we developed and tested a new technique for quantitative assessment of myocardial
perfusion based on analysis of MDCT images acquired for CTCA. The accuracy of resting MDCT
perfusion was tested against ICA as well as MPI. Both protocols included a detailed
investigation of the sources of inter-technique discordance.

Comparisons against ICA revealed that the majority of perfusion abnormalities detected on
MDCT images at rest were associated with either prior MI, as previously reported (Gerber et
al. 06,Henneman et al. 06,Mahnken et al. 05,Nieman et al. 06,Nikolaou et al. 05), or reduced
blood supply secondary to significant stenosis. This previously unknown finding may have
important clinical implications in the context of detection of myocardial ischemia. Although
comparisons against resting MPI data showed high levels of agreement, we noted a large
number of perfusion defects that were not confirmed by resting MPI. These apparent "false
positive" findings were found to be either directly related to suboptimal image quality or
were true positives when compared to stress MPI. This latter surprising finding may probably
be explained by the effects of nitroglycerin used during MDCT imaging, as well as possible
vasodilating effects of the iodine-based contrast media (Limbruno et al. 00), which may to
some extent mimic those of vasodilator stress agents used during MPI, namely adenosine or
dipyridamole.

The main conclusion of these recent studies was that future studies are needed to explore
the full diagnostic potential of MDCT perfusion when used in combination with vasodilator
stress.

Objectives

Accordingly, we are planning a new study in which MDCT imaging will be performed during
vasodilator stress in consecutive patients referred for clinically indicated CTCA.
Myocardial perfusion will be assessed using quantitative volumetric analysis of myocardial
x-ray attenuation and compared to either ICA or MPI findings in a subgroup of patients who
also undergo one of these tests.

Methods

We will prospectively study 120 consecutive patients referred to CTCA for the evaluation of
CAD. MDCT imaging will be performed according to the standard clinical protocol, which will
be modified to include the vasodilator stress agent Regadenoson (Astellas Pharmaceutical)
recently approved by the FDA for clinical use. This selective A2A agonist will be
administered according to the manufacturer's guidelines. Imaging will be performed during
its peak effect.

Standard contraindications to CTCA will be observed, including known allergies to iodine,
renal dysfunction (creatinine >1.4 mg/dL), inability to perform a 10 sec breath-hold. Images
will be obtained using an MDCT scanner (256-channels, Philips) using retrospective
ECG-gating. A nonionic iodinated contrast agent (Omnipaque-350, Amersham) will be injected
into a right antecubital vein (80-120 ml depending on body weight, at 5-6 ml/sec), followed
by a 20-50 ml chaser bolus (70% saline, 30% contrast, at 5 ml/sec). Image acquisition will
be triggered by the appearance of contrast in the descending thoracic aorta, and performed
during suspended respiration.

Additional set of images will be acquired 10 min later in order to visualize delayed
contrast enhancement, which is used to estimate viability in hypoperfused myocardium. This
set of images will be acquired without injection of contrast or Regadenoson. Prospective
ECG-gating will be used to obtain a single phase of a cardiac cycle in order to minimize
total radiation dose.

Regional MDCT perfusion measurements

Volumetric MDCT perfusion analysis will be performed using custom software from the same
phase of the cardiac cycle used for CTCA (75% of RR interval in most patients).
Semi-automated detection of the endo- and epicardial surfaces will be performed based on the
level set approach, as described previously (Corsi et al. 05), and the myocardium will be
divided into 16 segments (6 basal, 6 mid-ventricular, 4 apical) using standard segmentation.
In each 3D myocardial ROI, mean x-ray attenuation will be measured and divided by the mean
attenuation measured in the corresponding ROI in the control group of normal subjects. This
normalization will compensate for inter-segmental heterogeneity in x-ray attenuation. The
resultant value will then multiplied by the ratio between the mean of the highest three
attenuation values measured in the control group and in the individual patient. This
rescaling will compensate for differences in contrast levels between patients. The resultant
value will be used as the MDCT myocardial perfusion index.

Objective detection of regional MDCT perfusion abnormalities

By definition, MDCT perfusion index (subendocardial and transmural) obtained in the control
group approximately equal to 1 in all segments. The SD of this index averaged over the 16
segments, SD16, will be used to determine the threshold for automated detection of perfusion
abnormalities, which will be defined as [1-SD16] for all segments. To this effect, in each
patient, segments in which the perfusion index is below this threshold will be considered
abnormal. A territory of an individual coronary artery will be considered abnormal when the
perfusion index is abnormal in at least one segment. For the patient-by-patient analysis,
abnormal perfusion will be diagnosed when at least one territory is abnormal.

Inter-technique comparisons

Coronary anatomy depicted on each patient's MDCT volume rendering of the heart will be used
to determine the perfusion territory of each artery and its major branches, i.e. to assign
each myocardial segment to the territory of a specific coronary artery. Inter-technique
comparisons will be performed on a segment-by-segment, vascular territory and
patient-by-patient basis. Inter-technique agreements will be assessed by counting
concordances (true positive and true negative) as well as discordances (false positive and
false negative) on a segment, vascular territory and patient basis. For every comparison,
these counts will be used to calculate sensitivity, specificity, positive and negative
predictive values (PPV, NPV) and overall accuracy.

Anticipated results

We anticipate that approximately 60% of the study patients will have either MPI or ICA (or
both) data available as a reference for comparisons with MDCT. We anticipate that combining
MDCT imaging with vasodilator stress will prove to be highly feasible and that perfusion
abnormalities detected on MDCT images will correlate with the findings of stress MPI and/or
ICA.

Significance

To our knowledge, this will be the first study to validate quantitative MDCT evaluation of
myocardial perfusion imaging with vasodilator stress against MPI/ICA reference in
consecutive patients referred for CTCA. Because the addition of stress perfusion information
will allow elucidating the clinical significance of coronary lesions in the same test, such
addition promises not only to improve the accuracy of cardiac CT in the diagnosis and
evaluation of IHD, but is also likely to prove as a cost-effective, single-stop alternative
to costly serial testing. We anticipate that the results of our study will support the use
of this methodology in every patient referred for CTCA, similar to the routine use of
vasodilator stress with MPI.

Inclusion Criteria:

- 18 years and older

- Subjects referred for clinically indicated cardiac CT exams

Exclusion Criteria:

- Subjects with a history of lung disease

- Pregnant subjects

- Subjects with second or third degree AV block or sinus node dysfunction
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