This Article Abstract Full Text (PDF) Data Supplement Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Request Permissions Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Schwitter, J. Articles by von Schulthess, G. K. Search for Related Content PubMed PubMed Citation Articles by Schwitter, J. Articles by von Schulthess, G. K. Related Collections CT and MRI Nuclear cardiology and PET Chronic ischemic heart disease

(Circulation. 2001;103:2230.)
© 2001 American Heart Association, Inc.

Clinical Investigation and Reports

Assessment of Myocardial Perfusion in Coronary Artery Disease by Magnetic Resonance

A Comparison With Positron Emission Tomography and Coronary Angiography

J. Schwitter, MD; D. Nanz, PhD; S. Kneifel, MD; K. Bertschinger, MD; M. Büchi, MD; P. R. Knüsel, MD; B. Marincek, MD; T. F. Lüscher, MD; G. K. von Schulthess, MD, PhD

From the Division of Cardiology (J.S., M.B., T.F.L.), the Clinic of Nuclear Medicine (S.K., G.K.v.S.), and the Institute of Diagnostic Radiology (D.N., K.B., P.R.K., B.M.), University Hospital Zurich, Zurich, Switzerland.

Correspondence to J. Schwitter, MD, Cardiology, University Hospital Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland. E-mail karscz{at}usz.unizh.ch

	Abstract

Top Abstract Introduction Methods Results Discussion References

 
Background—Monitoring contrast medium wash-in kinetics in hyperemic myocardium by magnetic resonance (MR) allows for the detection of stenosed coronary arteries. In this prospective study, the quality of a multislice MR approach with respect to the detection and sizing of compromised myocardium was determined and compared with positron emission tomography (PET) and quantitative coronary angiography.

Methods and Results—A total of 48 patients and 18 healthy subjects were studied by MR using a multislice hybrid echo-planar pulse sequence for monitoring the myocardial first pass kinetics of gadolinium-diethylenetriamine pentaacetic acid bismethylamide (Omniscan; 0.1 mmol/kg injected at 3 mL/s IV) during hyperemia (dipyridamole 0.56 mg/kg). Signal intensity upslope as a measure of myocardial perfusion was calculated in 32 sectors per heart from pixelwise parametric maps in the subendocardial layer and for full wall thickness. Before coronary angiography, coronary flow reserve (hyperemia induced by dipyridamole 0.56 mg/kg) was determined in corresponding sectors by ¹³N-ammonia PET. Receiver-operator characteristic analysis of subendocardial upslope data revealed a sensitivity and specificity of 91% and 94%, respectively, for the detection of coronary artery disease as defined by PET (mean coronary flow reserve minus 2SD of controls) and a sensitivity and specificity of 87% and 85%, respectively, in comparison with quantitative coronary angiography (diameter stenosis 50%). The number of pathological sectors per patient on PET and MR studies correlated linearly (slope, 0.94; r=0.76; P<0.0001).

Conclusions—The presented MR approach reliably identifies patients with coronary artery stenoses and provides information on the amount of compromised myocardium, even when perfusion abnormalities are confined to the subendocardial layer. This modality may qualify for its clinical application in the management of coronary artery disease.

Key Words: imaging • perfusion • heart diseases

	Introduction

Top Abstract Introduction Methods Results Discussion References

 
In patients with coronary artery disease (CAD), clinical decisions regarding the need for angioplasty or bypass surgery are based on the evaluation of coronary anatomy and are ideally combined with an assessment of the hemodynamic significance of the disease. Therefore, perfusion assessment by single photon emission computed tomography (SPECT) plays a key role in patient management. However, the method suffers from attenuation artifacts¹ and exposes patients to radiation. Positron emission tomography (PET) imaging corrects for attenuation and allows for the quantification of perfusion,^{2 3} but it is not widely available.

In the early 1990s, myocardial first-pass magnetic resonance (MR) perfusion imaging was shown to detect CAD in patients.⁴ Because the extent of disease relates to the patient’s prognosis, multislice approaches were developed. The application of multislice techniques to highly selected patient populations with documented single-vessel disease yielded sensitivities of 100%.^{5 6} However, the application of a multislice mode to a mixed unselected study population either yielded low sensitivity (44% in 10 patients)⁷ or low specificity (44% in 45 patients).⁸ In a recent prospective study using a single-slice approach, sensitivity and specificity were 90% and 83%, respectively, for the detection of stenosis 75%.⁹ In that study, a high sampling rate of one image per heartbeat allowed calculation of contrast medium (CM) first-pass kinetics but precluded a multislice acquisition. In MR perfusion studies evaluated thus far in patients with coronary artery stenoses,^{4 5 6 7 9 10} data acquisition windows (including inversion recovery preparation) amounted to 650 to 750 ms. In the present study, a hybrid echo-planar readout was used^{11 12} and combined with a saturation recovery approach, which reduced the data acquisition window to 239 ms. We hypothesized that such an approach would yield highly reliable perfusion data, even in a multislice mode, and moreover, it would allow evaluation of perfusion indexes quantitatively within distinct myocardial layers.

	Methods

Top Abstract Introduction Methods Results Discussion References

 
Study Population
We prospectively studied 48 patients with suspected CAD who were referred for coronary angiography. Exclusion criteria were unstable angina, atrial fibrillation, valvular heart disease, a history of revascularization, or previous myocardial infarction as indicated by (1) history, (2) Q waves in the resting 12-lead ECG, or (3) wall motion abnormalities at rest (by echocardiography or MR). Within 2 weeks before coronary angiography, patients underwent MR and PET perfusion studies in random order. Antianginal medication was withdrawn 24 hours before the tests, as were caffeinated beverages or food. The volunteers (n=18, aged 29±3 years) were at low risk for CAD¹³ because of their medical history, normal physical examination, and normal resting and stress ECGs. The study protocol was approved by the local Ethics Committee, and all subjects gave written informed consent. MR, PET, and angiographic data were analyzed and stored without knowledge of the findings obtained during the other procedures.

MR Examination
All subjects were examined in the supine position with a 1.5T system (CV/i, GE Medical Systems), and a 4-element phased-array radiofrequency coil was used for signal reception. After the assessment of resting cardiac function, vasodilation was induced by dipyridamole (0.56 mg/kg IV over 4 minutes). During a breath-hold, the extravascular CM, gadolinium-diethylenetriamine pentaacetic acid bismethylamide (Omniscan, gadodiamide injection; Nycomed Imaging AS, Oslo, Norway), was injected into a cubital vein (0.1 mmol/kg at 3 mL/s; Medrad), and its first pass was monitored using a hybrid echo-planar pulse sequence (repetition time/echo time, 6.6/2.0 ms; echo train length, 4; preparation pulse, 90°; delay time, 120 ms; slice thickness per gap, 8/5 mm; rectangular field of view, 34 to 40 cm by 26 to 30 cm; matrix, 128x96, with a pixel size of 2.7x3.5 mm interpolated to 1.3 to 1.6 mm for further analysis) that acquires a complete image within 119 ms¹² and yields 4 slices every 2 R-R intervals up to a heart rate of 125 beats/min. During the study, blood pressure and heart rate were acquired at 2-minute intervals, and ECG was monitored continuously (MR Equipment, Model 9500).

After manual correction of images for gross cardiac motion, endocardial and epicardial contours were drawn and 8 equiangular sectors per slice were generated automatically (rotating clockwise using the anterior septal insertion of the right ventricle as a reference point; Figure 1); these sectors were further subdivided into an inner and outer half (ie, into a subendocardial and subepicardial layer, respectively), which resulted in 64 regions per heart. For each slice, an algorithm then extracted the maximal slope in each pixel of the myocardium and the left ventricular blood pool (5-point and 3-point linear fit, respectively) using a sliding window. Relative upslope was obtained by dividing the upslope data by the precontrast signal intensity. Finally, mean slopes were calculated in all sectors (subendocardial layer and full wall thickness) and divided by the upslope of the signal in the left ventricular cavity, which was regarded as a measure of the input function.^{7 9}

View larger version (48K): [in this window] [in a new window]   Figure 1. In this patient with stenoses in the left anterior descending coronary artery and the right coronary artery, the transit of CM through the left ventricular myocardium during hyperemia demonstrates delayed wash-in in both the subendocardial and subepicardial layers of both arteries (A through E, arrowheads). F, Representative signal intensity–time curves are shown for normal myocardium (red curve, sector 8) and hypoperfused myocardium (blue curve, sector 2). Th2 and Th8 indicate thresholds for full-wall thickness data in corresponding sectors derived from the ROC analyses (Figure 2). On the parametric slope map (G), pixels below/above the threshold (Th) are encoded in shades of blue/red, respectively. On the PET image (H), reduced hyperemic flow is demonstrated in corresponding sectors.

PET Examination
Dynamic PET measurements were performed using a whole-body PET scanner (Advance, GE Medical Systems). Images were reconstructed using filtered backprojection (Hanning filter; cutoff, 5 mm transaxial and 8.5 mm axial) and a 128x128 pixel output matrix. Beginning with the intravenous bolus administration of 700 to 800 MBq of ¹³N-ammonia, serial images were acquired for 15 minutes. After a delay time of at least 50 minutes to allow for ¹³N decay (physical half-life, 9.9 minutes), hyperemia was induced by dipyridamole (same regimen as for MR study), and flow measurement was repeated followed by a transmission scan for attenuation correction. On reformatted short-axis views, 8 regions of interest per slice were placed using the anterior septal insertion of the right ventricle as a reference point (Figure 1). From the resulting 32 regions of interest per heart, regional myocardial tissue time-activity curves were obtained. The arterial input function was derived from a region of interest in the left ventricular blood pool. As a direct estimator of myocardial blood flow, ¹³N-ammonia uptake (K₁) (in mL · min^–1 · g^–1) was calculated from the time-activity curves using a previously validated 2-compartment model (K₁, ¹³N-ammonia washout rate (k₂), spill-over correction² ). In each myocardial region of interest, coronary flow reserve (CFR) was calculated as hyperemic/resting myocardial blood flow.

Receiver-Operator Characteristics of MR Perfusion Imaging Versus PET and X-Ray Coronary Angiography
The studies were also performed in healthy volunteers, who were randomly divided into 2 groups. Group 1 (n=8) was used to generate reference values (slope_endo.norm and slope_trans.norm for the subendocardial layer and full-wall thickness, respectively; values are mean±SD). Group 2 (n=10) was added to the patient cohort to simulate the relatively high proportion of normal subjects that are typically referred for noninvasive testing to achieve a more reliable calculation of specificity. For the comparison of PET versus quantitative coronary angiography (QCA), the study cohort of 41 patients (33 with documented CAD, 8 without CAD) was supplemented by an additional 8 low-likelihood subjects (collected randomly from our normal database) for the same reasons. Receiver-operator characteristic (ROC) analyses¹⁴ were employed to determine the diagnostic performance of MR upslope data for the detection of CAD. CAD was defined either anatomically as 1 stenosis 50% in diameter in any of the 3 coronary arteries (and their side branches with a diameter 2 mm) or hemodynamically as 1 sector with a CFR <1.65 (mean minus 2SD of the normal database at our institution), which is in agreement with CFR threshold values of 1.2 to 1.7.^{15 16} Further, ROC analyses were performed separately for 1-, 2-, and 3-vessel disease. To test the performance of MR perfusion imaging for each coronary artery, sectors 1 and/or 8, 3, and 5 and/or 6 from all slices were assigned to the left anterior descending, the circumflex, and the right coronary artery, respectively, assuming these sectors as centers of corresponding perfusion territories (sectors 2, 4, and 7 were not used for this analysis). The coronary angiograms were analyzed by an automated geometric-densitometric edge-detection algorithm.¹⁷

Statistical Analysis
Values are given as mean±SD. Using the reference values derived from the normal group 1 subjects (slope_endo.norm and slope_trans.norm), the threshold values [given as slope_norm minus (xxSD)] were determined by ROC analyses in the patient cohort that best discriminated patients with CAD (defined either hemodynamically or anatomically) from those without CAD.¹⁴ To compare disease extent by MR and PET, a repeated measures ANOVA was performed followed by paired t tests and Bonferroni correction. Sensitivities and specificities of the MR approach in different vascular territories and in patients with 1-, 2-, and 3-vessel disease were compared using ² tests. Intraobserver and interobserver variabilities of MR slope data are reported as mean±2SD of differences of paired analyses.¹⁸ P<0.05 was considered statistically significant.

	Results

Top Abstract Introduction Methods Results Discussion References

 
A total of 48 patients were studied by MR, PET, and coronary angiography, and an additional 18 healthy volunteers were examined by MR. All examinations were well tolerated without complications. One MR and 2 PET studies were excluded from analysis for technical reasons. One PET study was cancelled for logistic reasons, and 4 were lost due to a storage media failure, resulting in 41 PET examinations available for comparison with MR. Demographics of patients and healthy subjects (normal group 2) included in the ROC analyses are given in Table 1, and hemodynamic data for patients and volunteers are given in Table 2.

View this table: [in this window] [in a new window]   Table 1. Characteristics of Patients and Controls

View this table: [in this window] [in a new window]   Table 2. Hemodynamic Effects of Dipyridamole During MR and PET Examinations

Diagnostic Performance of MR Perfusion Imaging
Detection of CAD
In Figure 1, MR images demonstrate wash-in of CM is delayed transmurally in territories supplied by stenosed coronary arteries. In corresponding sectors, hyperemic flow on PET is impaired (Figure 1H). The ROC analysis in Figure 2A revealed a high diagnostic reliability of subendocardial MR upslope data for detection of hemodynamically significant CAD; corresponding results for the detection of anatomically defined CAD are given in Figure 2B.

View larger version (19K): [in this window] [in a new window]   Figure 2. ROC of MR upslope data are shown for the detection of coronary artery disease defined either hemodynamically by PET (A; 1 sector with a CFR <1.65; n=51) or anatomically by QCA (B; 1 artery with 50% diameter stenosis; n=57). MR upslope data, particularly from the subendocardial layer, are highly reliable in the detection of hemodynamically significant disease (A). In the detection of 50% diameter stenoses, the diagnostic performance of MR and PET are comparable (B). Numbers in parentheses represent sensitivity, specificity, and area under the ROC curve, respectively.

Assessment of Extent of CAD
For a direct visualization of MR perfusion data, polar map representations of the signal intensity upslope in the subendocardial layer were generated (Figure 3). In Figure 4, the number of myocardial sectors with impaired subendocardial flow on MR (slope_endo.norm minus 1.75SD) and reduced CFR on PET (<1.65) are compared (8.1±6.5 sectors versus 9.0±5.7 sectors, respectively; overall P=0.22). The number of pathological sectors measured by MR and PET correlated linearly (slope, 0.94; r=0.76; P<0.0001). Sectors with transmurally reduced flow underestimated the extent of disease (4.9±5.34 sectors versus 9.0±5.7 sectors with PET; P<0.005). In Figures 5 and 6, the influence of the number and type of coronary artery involvement, as determined by QCA, on the sensitivity and specificity of MR data is shown, respectively.

View larger version (63K): [in this window] [in a new window]   Figure 3. In this patient with a stenosis in the right coronary artery (arrow in G), the transit of CM through the left ventricular myocardium during hyperemia (time resolution, 4 slices every 1.2 s) demonstrates delayed wash-in in the subendocardium of sectors 4 through 6 (arrowheads in D through F). In the corresponding pixelwise parametric slope map (I), the perfusion deficit is demonstrated in blue (color-coding as in Figure 1G). In K, a polar map represents perfusion in the subendocardium (with the apex located in the center of the map and the anterior, lateral, inferior, and septal wall represented by sectors 1, 3, 5, and 6 through 8, respectively). The subendocardial perfusion deficit in the territory of the right coronary artery extends from base to apex, whereas the perfusion deficit in the anterior and septal wall (sectors 1, 7, and 8) extends from the midventricular level to the apex (slices 3 and 4), in concordance with the stenosis in the midportion of the left anterior descending coronary artery (arrow in H).

View larger version (34K): [in this window] [in a new window]   Figure 4. Comparison of pathological sectors, as defined by MR and PET, in patients with 1-, 2-, and 3-vessel disease (VD) and no disease (for details, see Results). There was a trend toward underestimation of the extent of disease by MR (P=0.22 vs PET). *P<0.05 vs no disease, P<0.01 vs no disease (2-way ANOVA for repeated measures, Bonferroni-corrected; error bars represent SEM).

View larger version (33K): [in this window] [in a new window]   Figure 5. Sensitivities and specificities to detect CAD, as defined by QCA, was not different for 1-, 2-, or 3- vessel disease (VD). For calculation of sensitivity and specificity in the 1-, 2-, and 3-vessel disease population, patients with 1-, 2-, or 3- vessel disease were considered, respectively, and combined with subjects without disease (ie, patients with negative coronary angiography and normal group 2 subjects). The portion of patients with CAD is indicated in parentheses below the bars.

View larger version (33K): [in this window] [in a new window]   Figure 6. For all 3 coronary arteries, the sensitivities and specificities of subendocardial MR data to detect 50% stenoses, as defined by QCA, were similar, indicating that the quality of MR data was similar throughout the left ventricular myocardium. LAD indicates left anterior descending coronary artery; LCX, left circumflex coronary artery; and RCA, right coronary artery.

For the intraobserver variability of slope_endo and slope_trans (evaluated in 320 sectors of 10 randomly chosen patients), the mean differences (with the 95% confidence intervals in parentheses) were -0.3% (-18.3% to 17.7%) and -2.5% (-14.3% to +9.4%), respectively. For interobserver variability, the results were 5.6% (-15.3% to 26.5%) and 4.7% (-14.7% to 24.1%), respectively.

	Discussion

Top Abstract Introduction Methods Results Discussion References

 
There are 3 major findings in this study: (1) the presented MR first-pass perfusion approach reliably detects and quantifies perfusion deficits in patients with CAD; (2) the presented MR technique resolves transmural differences in perfusion and generates polar maps of perfusion deficits in the subendocardium; and (3) the robustness of this MR approach is demonstrated even when combined with a peripheral CM injection.

Diagnostic Performance of MR Perfusion Imaging
The diagnostic performance of MR perfusion imaging was evaluated with respect to anatomically and functionally defined CAD.¹³ N-ammonia PET is well established for quantifying blood flow,^{2 3} and it was used as a reference for myocardial perfusion. The best results for the detection of CAD by MR perfusion imaging were obtained when CM wash-in was assessed in the subendocardial layer, which is most sensitive to an ischemic challenge. The presented MR perfusion approach yielded a sensitivity and specificity of 91% and 94%, respectively, for the detection of patients with reduced CFR as defined by PET. Moreover, the amount of compromised myocardium, as assessed by MR, closely agreed with PET measurements. Thus, the presented MR approach provides an estimate of disease extent that includes important prognostic information and is therefore essential for patient management.

Recently, similar sensitivities and specificities were reported for an MR perfusion approach that detected angiographically defined CAD; however, the technique was limited to perfusion assessment in a single slice.⁹ In this and most other MR perfusion studies published so far,^{4 5 6 7 10 19 20} a fast low-angle shot readout lasting 360 to 450 ms was used and was combined with an inversion pulse involving preparation times of 300 to 400 ms.^{4 5 6 7 8 9 10 20} In the present study, a hybrid echo-planar readout of 119 ms duration was combined with a saturation recovery approach, reducing the preparation time to 120 ms. The short acquisition window allows a high sampling rate of perfusion data, even in multislice mode, and reduces motion-induced blurring, whereas the preparation time of 120 ms places data collection into phases of minimal cardiac motion. As a result, the MR data were of adequate quality to perform a linear fit of the signal increase on a pixel by pixel basis, and reproducibility of the mean upslope/sector was high for both full-wall thickness and the subendocardial layer. To our knowledge, this is the first time that polar maps of subendocardial zones of hypoperfusion were derived observer-independently from linear fits of MR first-pass data by applying threshold values to patient data.

In highly selected patients with documented severe proximal left anterior descending coronary artery stenosis, 100% agreement between a multislice MR approach and SPECT data were reported.⁵ In unselected patient populations, however, multislice approaches performed worse, with a sensitivity⁷ or specificity⁸ <50%. In the present study, which was performed prospectively in unselected patients, the sensitivity and specificity for detecting anatomically defined CAD were 87% and 85%, respectively, which compared favorably with the values obtained with PET. With the MR approach, similar sensitivities and specificities were observed for all 3 vascular territories, indicating that all myocardial segments were visualized with similar image quality.

Limitations
Patients with previous myocardial infarctions were excluded from this study, and the performance of the MR technique in these patients remains to be determined. Specifically, the influence of altered hemodynamics on CM first-pass kinetics, and hence on the applicability of thresholds to myocardial upslope data, warrants further investigation. To identify necrotic/scar tissue, a so-called late-enhancement MR technique could be employed.^{21 22} Similarly, conventional scintigraphy typically includes a resting study to allow redistribution of tracer to identify viability. For detection of ischemia, however, PET studies provide evidence that hyperemic flow is as accurate a predictor for the presence of significant coronary stenoses as flow reserve.^{15 16 23 24 25} We therefore refrained from performing an additional resting MR study for ischemia detection.

Conclusions and Implications
This novel MR approach reliably identifies and quantifies perfusion deficits in an unselected patient population, and it specifically allows assessment of perfusion in distinct myocardial layers. In comparison with PET and QCA, the ROC analyses indicate a high diagnostic performance of this MR technique. With the short examination time of 1 hour and a time-efficient analysis (<15 minutes on average), this MR perfusion approach emerges as an easy and fast method for the noninvasive assessment of CAD, even when perfusion deficits are restricted to the subendocardial layer. The robustness of this technique may qualify it for clinical application in the management of patients with known or suspected CAD.

	Acknowledgments

 
This work was supported in part by the Swiss National Science Foundation (J.S., G.K.v.S), the Swiss Heart Foundation, and Nycomed Imaging AS, Oslo, Norway, which also kindly provided Omniscan (gadodiamide injection). We thank Dr Burkhardt Seifert, Institute of Biostatistics, University of Zurich, Switzerland, for his assistance in performing the statistical analyses; Thomas Berthold for his technical help in performing the PET studies; and Prof P. August Schubiger and the Cyclotron staff for providing ¹³N-ammonia.

	Footnotes

 
Dr von Schulthess has received research support from GE Medical Systems; he has also served as a consultant to Nycomed-Amersham.

Supplementary material, including an additional Figure, can be found Online at http://www.circulationaha.org.

Received October 18, 2000; revision received January 29, 2001; accepted February 5, 2001.

	References

Top Abstract Introduction Methods Results Discussion References

 

1. Hendel RC, Berman DS, Cullom SJ, et al. Multicenter clinical trial to evaluate the efficacy of correction for photon attenuation and scatter in SPECT myocardial perfusion imaging. Circulation. 1999;99:2742–2749.[Abstract/Free Full Text]
   
2. Hutchins GD, Schwaiger M, Rosenspire KC, et al. Noninvasive quantification of regional blood flow in the human heart using N-13 ammonia and dynamic positron emission tomographic imaging. J Am Coll Cardiol. 1990;15:1032–1042.[Abstract]
   
3. Kuhle WG, Porenta G, Huang SC, et al. Quantification of regional myocardial blood flow using 13N-ammonia and reoriented dynamic positron emission tomographic imaging. Circulation. 1992;86:1004–1017.[Abstract/Free Full Text]
   
4. Manning WJ, Atkinson DJ, Grossman W, et al. First-pass nuclear magnetic resonance imaging studies using gadolinium-DTPA in patients with coronary artery disease. J Am Coll Cardiol. 1991;18:959–965.[Abstract]
   
5. Lauerma K, Virtanen KS, Sipila LM, et al. Multislice MRI in assessment of myocardial perfusion in patients with single-vessel proximal left anterior descending coronary artery disease before and after revascularization. Circulation. 1997;96:2859–2867.[Abstract/Free Full Text]
   
6. Matheijssen NA, Louwerenburg HW, van Rugge F, et al. Comparison of ultrafast dipyridamole magnetic resonance imaging with dipyridamole SestaMIBI SPECT for detection of perfusion abnormalities in patients with one-vessel coronary artery disease: assessment by quantitative model fitting. Magn Reson Med. 1996;35:221–228.[Medline] [Order article via Infotrieve]
   
7. Eichenberger AC, Schuiki E, Kochli VD, et al. Ischemic heart disease: assessment with gadolinium-enhanced ultrafast MR imaging and dipyridamole stress. J Magn Reson Imaging. 1994;4:425–431.[Medline] [Order article via Infotrieve]
   
8. Walsh EG, Doyle M, Lawson MA, et al. Multislice first-pass myocardial perfusion imaging on a conventional clinical scanner. Magn Reson Med. 1995;34:39–47.[Medline] [Order article via Infotrieve]
   
9. Al-Saadi N, Nagel E, Gross M, et al. Noninvasive detection of myocardial ischemia from perfusion reserve based on cardiovascular magnetic resonance. Circulation. 2000;101:1379–1383.[Abstract/Free Full Text]
   
10. Sensky PR, Jivan A, Hudson NM, et al. Coronary artery disease: combined stress MR imaging protocol-one-stop evaluation of myocardial perfusion and function. Radiology. 2000;215:608–614.[Abstract/Free Full Text]
    
11. Schwitter J, Debatin JF, von Schulthess GK, et al. Normal myocardial perfusion assessed with multi-shot echo-planar imaging. Magn Reson Med. 1997;37:140–147.[Medline] [Order article via Infotrieve]
    
12. Ding S, Wolff SD, Epstein FH. Improved coverage in dynamic contrast-enhanced cardiac MRI using interleaved gradient-echo EPI. Magn Reson Med. 1998;39:514–519.[Medline] [Order article via Infotrieve]
    
13. Diamond GA, Forrester JS. Analysis of probability as an aid in the clinical diagnosis of coronary artery disease. N Engl J Med. 1979;300:1350–1358.[Abstract]
    
14. Swets JA. Measuring the accuracy of diagnostic systems. Science. 1988;240:1285–1288.[Abstract/Free Full Text]
    
15. Di Carli M, Czernin J, Hoh CK, et al. Relation among stenosis severity, myocardial blood flow, and flow reserve in patients with coronary artery disease. Circulation. 1995;91:1944–1951.[Abstract/Free Full Text]
    
16. Picano E, Parodi O, Lattanzi F, et al. Assessment of anatomic and physiological severity of single-vessel coronary artery lesions by dipyridamole echocardiography: comparison with positron emission tomography and quantitative arteriography. Circulation. 1994;89:753–761.[Abstract/Free Full Text]
    
17. Buchi M, Hess OM, Kirkeeide RL, et al. Validation of a new automatic system for biplane quantitative coronary arteriography. Int J Card Imaging. 1990;5:93–103.[Medline] [Order article via Infotrieve]
    
18. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–310.[Medline] [Order article via Infotrieve]
    
19. Saeed M, Wendland MF, Sakuma H, et al. Coronary artery stenosis: detection with contrast-enhanced MR imaging in dogs. Radiology. 1995;196:79–84.[Abstract/Free Full Text]
    
20. Schwitter J, Saeed M, Wendland MF, et al. Assessment of myocardial function and perfusion in a canine model of non-occlusive coronary artery stenosis using fast magnetic resonance imaging. J Magn Reson Imaging. 1998;9:101–110.
    
21. Kim RJ, Fieno DS, Parrish TB, et al. Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation. 1999;100:1992–2002.[Abstract/Free Full Text]
    
22. Schwitter J, Saeed M, Wendland MF, et al. Influence of the severity of myocardial injury on the distribution of macromolecules: extra- versus intravascular gadolinium-based MR contrast media. J Am Coll Cardiol. 1997;30:1086–1094.[Abstract]
    
23. Sambuceti G, Parodi O, Marcassa C, et al. Alterations in regulation of myocardial blood flow in one-vessel coronary artery disease determined by positron emission tomography. Am J Cardiol. 1993;72:538–543.[Medline] [Order article via Infotrieve]
    
24. Muzik O, Duvernoy C, Beanlands RS, et al. Assessment of diagnostic performance of quantitative flow measurements in normal subjects and patients with angiographically documented coronary artery disease by means of nitrogen-13 ammonia and positron emission tomography. J Am Coll Cardiol. 1998;31:534–540.[Abstract/Free Full Text]
    
25. Uren NG, Melin JA, De Bruyne B, et al. Relation between myocardial blood flow and the severity of coronary artery stenosis. N Engl J Med. 1994;330:1782–1788. [Abstract/Free Full Text]
    

This article has been cited by other articles:

				J. Schwitter Extending the Frontiers of Cardiac Magnetic Resonance Circulation, July 8, 2008; 118(2): 109 - 112. [Full Text] [PDF]

				J. Selvanayagam Women With Chest Pain: Expanding the Diagnostic Armamentarium J. Am. Coll. Cardiol. Img., July 1, 2008; 1(4): 446 - 449. [Full Text] [PDF]

				K. H. Schuleri, L. C. Amado, A. J. Boyle, M. Centola, A. P. Saliaris, M. R. Gutman, K. E. Hatzistergos, B. N. Oskouei, J. M. Zimmet, R. G. Young, et al. Early improvement in cardiac tissue perfusion due to mesenchymal stem cells Am J Physiol Heart Circ Physiol, May 1, 2008; 294(5): H2002 - H2011. [Abstract] [Full Text] [PDF]

				C M TONGE, R C FERNANDEZ, and M T HARBINSON Current issues in nuclear cardiology Br. J. Radiol., April 1, 2008; 81(964): 270 - 274. [Full Text] [PDF]

				R. Gebker, C. Jahnke, I. Paetsch, S. Kelle, B. Schnackenburg, E. Fleck, and E. Nagel Diagnostic Performance of Myocardial Perfusion MR at 3 T in Patients with Coronary Artery Disease Radiology, April 1, 2008; 247(1): 57 - 63. [Abstract] [Full Text] [PDF]

				A. Roguin, J. Schwitter, C. Vahlhaus, M. Lombardi, J. Brugada, P. Vardas, A. Auricchio, S. Priori, and T. Sommer Magnetic resonance imaging in individuals with cardiovascular implantable electronic devices Europace, March 1, 2008; 10(3): 336 - 346. [Abstract] [Full Text] [PDF]

				J. Schwitter, C. M. Wacker, A. C. van Rossum, M. Lombardi, N. Al-Saadi, H. Ahlstrom, T. Dill, H. B.W. Larsson, S. D. Flamm, M. Marquardt, et al. MR-IMPACT: comparison of perfusion-cardiac magnetic resonance with single-photon emission computed tomography for the detection of coronary artery disease in a multicentre, multivendor, randomized trial Eur. Heart J., February 2, 2008; 29(4): 480 - 489. [Abstract] [Full Text] [PDF]

				R. Gebker, C. Jahnke, I. Paetsch, B. Schnackenburg, S. Kozerke, A. Bornstedt, E. Fleck, and E. Nagel MR Myocardial Perfusion Imaging with k-Space and Time Broad-Use Linear Acquisition Speed-up Technique: Feasibility Study Radiology, December 1, 2007; 245(3): 863 - 871. [Abstract] [Full Text] [PDF]

				M Fenchel, A Franow, P Martirosian, M Engels, U Kramer, N I Stauder, U Helber, H Vogler, C D Claussen, and S Miller 1 M Gd-chelate (gadobutrol) for multislice first-pass magnetic resonance myocardial perfusion imaging Br. J. Radiol., November 1, 2007; 80(959): 884 - 892. [Abstract] [Full Text] [PDF]

				N. Merkle, J. Wohrle, O. Grebe, T. Nusser, M. Kunze, H. A Kestler, M. Kochs, and V. Hombach Assessment of myocardial perfusion for detection of coronary artery stenoses by steady-state, free-precession magnetic resonance first-pass imaging Heart, November 1, 2007; 93(11): 1381 - 1385. [Abstract] [Full Text] [PDF]

				K. R. Nandalur, B. A. Dwamena, A. F. Choudhri, M. R. Nandalur, and R. C. Carlos Diagnostic Performance of Stress Cardiac Magnetic Resonance Imaging in the Detection of Coronary Artery Disease: A Meta-Analysis J. Am. Coll. Cardiol., October 2, 2007; 50(14): 1343 - 1353. [Abstract] [Full Text] [PDF]

				M. A. Costa, S. Shoemaker, H. Futamatsu, C. Klassen, D. J. Angiolillo, M. Nguyen, A. Siuciak, P. Gilmore, M. M. Zenni, L. Guzman, et al. Quantitative Magnetic Resonance Perfusion Imaging Detects Anatomic and Physiologic Coronary Artery Disease as Measured by Coronary Angiography and Fractional Flow Reserve J. Am. Coll. Cardiol., August 7, 2007; 50(6): 514 - 522. [Abstract] [Full Text] [PDF]

				A. S.H. Cheng, T. J. Pegg, T. D. Karamitsos, N. Searle, M. Jerosch-Herold, R. P. Choudhury, A. P. Banning, S. Neubauer, M. D. Robson, and J. B. Selvanayagam Cardiovascular Magnetic Resonance Perfusion Imaging at 3-Tesla for the Detection of Coronary Artery Disease: A Comparison With 1.5-Tesla J. Am. Coll. Cardiol., June 26, 2007; 49(25): 2440 - 2449. [Abstract] [Full Text] [PDF]

				A. A. Barmeyer, A. Stork, K. Muellerleile, C. Tiburtius, A. K. Schofer, T. A. Heitzer, T. Hofmann, G. Adam, T. Meinertz, and G. K. Lund Contrast-enhanced Cardiac MR Imaging in the Detection of Reduced Coronary Flow Velocity Reserve Radiology, May 1, 2007; 243(2): 377 - 385. [Abstract] [Full Text] [PDF]

				C. Jahnke, E. Nagel, R. Gebker, T. Kokocinski, S. Kelle, R. Manka, E. Fleck, and I. Paetsch Prognostic Value of Cardiac Magnetic Resonance Stress Tests: Adenosine Stress Perfusion and Dobutamine Stress Wall Motion Imaging Circulation, April 3, 2007; 115(13): 1769 - 1776. [Abstract] [Full Text] [PDF]

				M. Saeed, O. Weber, R. Lee, L. Do, A. Martin, D. Saloner, P. Ursell, P. Robert, C. Corot, and C. B. Higgins Discrimination of Myocardial Acute and Chronic (Scar) Infarctions on Delayed Contrast Enhanced Magnetic Resonance Imaging With Intravascular Magnetic Resonance Contrast Media J. Am. Coll. Cardiol., November 21, 2006; 48(10): 1961 - 1968. [Abstract] [Full Text] [PDF]

				C. B. Marcu, A. M. Beek, and A. C. van Rossum Clinical applications of cardiovascular magnetic resonance imaging. Can. Med. Assoc. J., October 10, 2006; 175(8): 911 - 917. [Abstract] [Full Text] [PDF]

				R. Maksimovic, P. M. Seferovic, A. D. Ristic, B. Vujisic-Tesic, D. S. Simeunovic, G. Radovanovic, M. Matucci-Cerinic, and B. Maisch Cardiac imaging in rheumatic diseases Rheumatology, October 1, 2006; 45(suppl_4): iv26 - iv31. [Abstract] [Full Text] [PDF]

				R. C. Cury, C. A. M. Cattani, L. A. G. Gabure, D. J. Racy, J. M. de Gois, U. Siebert, S. S. Lima, and T. J. Brady Diagnostic Performance of Stress Perfusion and Delayed-Enhancement MR Imaging in Patients with Coronary Artery Disease. Radiology, July 1, 2006; 240(1): 39 - 45. [Abstract] [Full Text] [PDF]

				J. Rieber, A. Huber, I. Erhard, S. Mueller, M. Schweyer, A. Koenig, T. M. Schiele, K. Theisen, U. Siebert, S. O. Schoenberg, et al. Cardiac magnetic resonance perfusion imaging for the functional assessment of coronary artery disease: a comparison with coronary angiography and fractional flow reserve Eur. Heart J., June 2, 2006; 27(12): 1465 - 1471. [Abstract] [Full Text] [PDF]

				C. M. Kramer When Two Tests Are Better Than One: Adding Late Gadolinium Enhancement to First-Pass Perfusion Cardiovascular Magnetic Resonance J. Am. Coll. Cardiol., April 18, 2006; 47(8): 1639 - 1640. [Full Text] [PDF]

				I. Klem, J. F. Heitner, D. J. Shah, M. H. Sketch Jr, V. Behar, J. Weinsaft, P. Cawley, M. Parker, M. Elliott, R. M. Judd, et al. Improved Detection of Coronary Artery Disease by Stress Perfusion Cardiovascular Magnetic Resonance With the Use of Delayed Enhancement Infarction Imaging J. Am. Coll. Cardiol., April 18, 2006; 47(8): 1630 - 1638. [Abstract] [Full Text] [PDF]

				W. P. Ingkanisorn, R. Y. Kwong, N. S. Bohme, N. L. Geller, K. L. Rhoads, C. K. Dyke, D. I. Paterson, M. A. Syed, A. H. Aletras, and A. E. Arai Prognosis of Negative Adenosine Stress Magnetic Resonance in Patients Presenting to an Emergency Department With Chest Pain J. Am. Coll. Cardiol., April 4, 2006; 47(7): 1427 - 1432. [Abstract] [Full Text] [PDF]

				L. F. Rodrigues de Avila, J. L. Fernandes, C. E. Rochitte, G. G. Cerri, and J. P. Filho Perfusion Impairment in Patients with Normal-appearing Coronary Arteries: Identification with Contrast-enhanced MR Imaging Radiology, December 21, 2005; (2005) 2382041697. [Abstract] [Full Text]