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Noninvasive Detection of Myocardial Ischemia From Perfusion Reserve Based on Cardiovascular Magnetic Resonance
Nidal Al-Saadi, MD, Eike Nagel, MD, Michael Gross, MD, Axel Bornstedt, PhD, Bernhard Schnackenburg, PhD, Christoph Klein, MD, Helmut Oswald, PhD, Eckart Fleck, MDAbstract
Introduction
Methods
Results
Discussion
Abstract
Background: Myocardial perfusion reserve can be non-invasively assessed
with cardiovascular magnetic resonance. In this study the diagnostic accuracy of this
technique for the detection of significant coronary artery stenosis was evaluated.
Methods and Results: In 15 patients with single vessel and five patients
without significant coronary artery disease the signal intensity time curves of the first
pass of a gadolinium-DTPA bolus injected via a central vein katheter were evaluated before
and after dipyridamole infusion to validate the technique. A linear fit was used to
determine the upslope and a cut off value for the differentiation between the myocardium
supplied by stenotic and nonstenotic coronary arteries was defined. The diagnostic
accuracy was then examined prospectively in 40 patients with coronary artery disease and
was compared with coronary angiography.
A significant difference in myocardial perfusion reserve between ischemic and normal
myocardial segments (1.08± 0.23 and 2.33± 0.41; p<0.001) was found which resulted in
a cut off value of 1.5 (mean minus 2 standard deviations of normal segments).
In the prospective analysis sensitivity, specificity and diagnostic accuracy for the
detection of coronary artery stenosis (³ 75%) were 93%, 89%, and 91%. Inter- and
intra-observer variability for the linear fit were low (r= 0.96 and 0.99).
Conclusions:MR first pass perfusion measurements yielded a high diagnostic
accuracy for the detection of coronary artery disease. Myocardial perfusion reserve can be
easily and reproducibly determined by a linear fit of the upslope of the signal intensity
time curves.
Ultrafast magnetic resonance (MR) tomography allows an analysis of
myocardial perfusion by the use of the first pass of a T1 shortening contrast agent bolus.
The advantages of MR tomography are its high spatial resolution, the independence from
radioactive tracers, and thus attenuation artifacts, as well as its capability for repeat
examinations for follow-up. Several studies have shown in principle that an analysis of
myocardial perfusion with MR is possible and may even permit a quantitative assessment of
myocardial blood flow.
The aim of this study was to define a threshold value for ischemic regions by myocardial
perfusion reserve. This was measured by cardiovascular magnetic resonance to differentiate
the myocardium supplied by a stenotic coronary artery from the myocardium supplied by a
nonstenotic coronary artery. Also we aimed to determine prospectively the diagnostic
accuracy of this cut off value for the detection of significant coronary artery stenosis
in patients with suspected coronary artery disease.
Table 1
After the MR examination all patients underwent left-sided cardiac catheterization and bi-plane selective coronary angiography in Judkins technique. Coronary stenoses were filmed in the center of the field from multiple projections, and as much as possible overlap of side branches and foreshortening of relevant coronary stenoses was avoided. Coronary angiograms were quantitatively assessed for high grade coronary artery stenoses (³ 75% area stenosis). The examiner was blinded to the MR examination.
The patients were examined in the supine position with a 1.5 Tesla whole body MR tomograph (ACS NT, Philips, Best, The Netherlands). After two rapid surveys to determine the exact position and axis of the left ventricle, a short axis slice at the height of the origin of the papillary muscles was chosen for perfusion imaging using an ECG triggered T1-weighted inversion recovery single shot turbo gradient echo sequence (inversion pulse, pre-pulse delay 360 ms, acquisition duration 360 ms, flip angle 15°, echo time 1.7 ms, repetition time 9 ms). Slice thickness was 8 mm with a spatial resolution of 1.7 x 1.9 mm. A bolus of 0.025 mmol gadolinium DTPA/kg body weight (Magnevist, Schering AG, Berlin) was rapidly injected by hand and flushed with 10 ml of 0.9% NaCl. Sixty dynamic images (one image per heart beat) were acquired during the first and second pass of the contrast agent. The dipyridamole infusion was discontinued prematurely upon patient request or when chest discomfort indicative of progressive or severe angina, dyspnea, decrease in systolic pressure >40 mmHg, severe supra-ventricular or ventricular arrhythmias or other adverse effects occurred. Aminophylline was administered as required.
In all images the endo- and epicardial contours were traced by an examiner blinded to the angiographic results. The myocardium was divided into 6 equiangular segments. An additional region of interest was placed within the cavity of the left ventricle excluding myocardial segments or papillary muscles (Figure 1). Images acquired after premature ventricular beats or insufficient cardiac triggering were excluded from the analysis to guarantee steady state conditions. Signal intensity (SI) was determined for all dynamics and segments (Figure 2). The native SI was subtracted and the upslope of the resulting SI-time curve was determined by the use of a linear fit. The results of the myocardial segments were corrected for the input function by dividing the upslope of each myocardial segment through the upslope of the left ventricular SI curve which was regarded as a measure of the input function. Perfusion reserve was calculated by dividing the results at maximal vasodilation by the results at rest. In group A the segment with the lowest myocardial perfusion reserve within the territory of the stenotic coronary artery was defined as ischemic. All segments of the patients without significant coronary artery disease and the contralateral segment opposite to the ischemic segment in the 15 patients with single vessel disease were defined as nonischemic. The absolute upslope at rest, after dipyridamole infusion, as well as myocardial perfusion reserve of ischemic and nonischemic segments, were compared. The cut off value was defined as the mean perfusion reserve minus 2 standard deviations of all nonischemic segments. In group B myocardial perfusion reserve was calculated for all segments. If the myocardial perfusion reserve was less than the defined cut off value, the segment was classified as pathological (MPR+), if it was more than the cut off value it was defined as normal (MPR-). If at least one segment within the territory of a coronary artery was found to be ischemic, MR was regarded as positive for that region.

Fig. 1: MR images of the transit of the gadolinium bolus through the right ventricle (a),
the left ventricle (b) and the left ventricular myocardium (c). Note the compact contrast
bolus, with almost complete exit of the contrast agent from the right ventricle, when
passing through the left ventricle.

Fig. 2: The six evaluated myocardial segments of the left ventricular myocardium with the
determination of the coronary artery territories for each segment and the resulting signal
intensity versus time curves of the myocardial segments each compared to the signal
intensity curves of the left ventricular cavity. SI: signal intensity (arbitrary units).
LAD: left anterior descending coronary artery; LCX: left circumflex coronary artery; RCA:
right coronary artery
Fig. 3: Inter-observer and intra-observer variability for the linear fit of the upslope


Fig. 4: The absolute values of the upslope of ischemic (closed circles) and
the contralateral control segments (open circles) at rest and after vasodilatation with
dipyridamole (stress) in group A represented as single values and mean ± one standard
deviation. The difference between the ischemic and control segments at rest were not
significant.

Fig. 5: Myocardial perfusion reserve of the ischemic and control segments (contralateral
segments in group A -closed circles- and all segments of the five patients without
significant coronary artery disease open circles). Mean ± one and two standard
deviations.
Table 2
Magnetic resonance perfusion imaging can be used to detect coronary artery stenosis with high diagnostic accuracy. In this study a sensitivity of 90% and a specificity of 83% for the detection of significant coronary artery stenosis was reached in 34 patients by the use of a previously defined threshold for ischemic myocardial regions. A linear fit of the upslope of the first pass of a gadolinium-DTPA bolus before and after dipyridamole infusion enabled an easy and reproducible determination of the myocardial perfusion reserve.In this study coronary angiography was used as the reference method for
the detection of coronary artery stenosis. As coronary angiography detects luminal
morphology rather than the functional significance of a stenosis, false
positive MR results might in fact be false negative angiograms. Three of
the seven segments that had a false positive reduction of myocardial perfusion
reserve showed one or more stenoses <75% area reduction of the corresponding coronary
artery on quantitative angiography. Further two false positive segments were in one
patient with diffuse atherosclerosis of the nonstenotic coronary arteries. Thus,
specificity of myocardial perfusion measurements with MR may be as high as 95 % if
corrected for these patients.
In the current study we have shown that MR first pass perfusion measurements yield a high
diagnostic accuracy for the detection of coronary artery disease. Myocardial perfusion
reserve can be easily and reproducibly determined from the upslope of the SI- time curves.
Questions, contributions and commentaries to the Authors: send an e-mail message (up to 15 lines, without attachments) to image-pcvc@pcvc.sminter.com.ar , written either in English, Spanish, or Portuguese.
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