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J Am Coll Cardiol, 2004; 44:2173-2181, doi:10.1016/j.jacc.2004.08.056 © 2004 by the American College of Cardiology Foundation |
BHF-Cardiac Magnetic Resonance Unit, the General Infirmary at Leeds, Leeds, United Kingdom
Department of Medical Physics, the General Infirmary at Leeds, Leeds, United Kingdom
Clinical Trials Research Unit, University of Leeds, Leeds, United Kingdom
BHF Heart Research Centre, University of Leeds, Leeds, United Kingdom
Manuscript received March 22, 2004; revised manuscript received July 19, 2004, accepted August 10, 2004.
* Reprint requests and correspondence: Dr. Sven Plein, BHF Cardiac Magnetic Resonance Unit, Room 170, D-floor, Jubilee Building, the General Infirmary at Leeds, Great George Street, Leeds LS1 3EX, United Kingdom (Email: sven.plein{at}leedsth.nhs.uk).
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BACKGROUND: With modern acquisition techniques, several CMR methods for the assessment of coronary artery disease (CAD) can be combined in a single noninvasive scanning session. Such a multicomponent CMR examination has not previously been applied to a large patient population, in particular those with a high prevalence of CAD in an acute situation.
METHODS: Sixty-eight patients presenting with NSTE-ACS underwent CMR imaging of myocardial function, perfusion (rest and adenosine-stress), viability (by late contrast enhancement), and coronary artery anatomy. Visual analysis of CMR was carried out. First, all CMR data were reviewed in combination ("comprehensive analysis"). In further separate analyses, each CMR method was analyzed individually. The ability of CMR to detect coronary stenosis 
70% on X-ray angiography was determined.
RESULTS: Comprehensive CMR analysis yielded a sensitivity of 96% and a specificity of 83% to predict the presence of significant coronary stenosis and was more accurate than analysis of any individual CMR method; CMR was significantly more sensitive and accurate than the Thrombolysis In Myocardial Infarction risk score (p < 0.001).
CONCLUSIONS: Cardiac magnetic resonance imaging accurately predicts the presence of significant CAD in patients with NSTE-ACS. In this study, a comprehensive analysis of several CMR methods improved the accuracy of the test.
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Patients who could benefit particularly from noninvasive assessment with CMR are those presenting with non–ST-segment elevation acute coronary syndromes (NSTE-ACS). One of the most important clinical decisions in these patients is to determine which patients require early revascularization because of the presence of flow-limiting coronary stenosis. Current guidelines recommend that patients at high or intermediate risk of future vascular events should undergo early invasive testing (13). Several risk-stratification tools such as the Thrombolysis In Myocardial Infarction (TIMI) risk score have been proposed to guide this decision process (14). However, in clinical trials, between a quarter and a half of patients presenting with NSTE-ACS had no obstructive CAD that required revascularization (15–19).
Kwong et al. (20) have recently shown that CMR is more accurate than the TIMI score to predict the diagnosis of acute coronary syndromes (ACS) in a low-risk group of patients presenting with chest pain in the emergency room. However, the important clinical question as to whether CMR can predict the need for revascularization in patients with known or suspected ACS has not yet been addressed. Furthermore, the applicability of CMR to patients at the high end of the risk spectrum, who are most likely to require early invasive investigation, has not yet been studied.
In this study we hypothesized that CMR imaging would be an accurate tool to detect the presence of flow-limiting coronary stenosis in patients with a clinical diagnosis of NSTE-ACS. We further speculated that the combined analysis of several CMR methods would have an incremental benefit on the diagnostic accuracy of CMR compared with the assessment of any single component.
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Methods |
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Patients gave informed written consent in accordance with a protocol approved by the institutional ethics committee. Exclusion criteria for the study were overt clinical heart failure and contraindications to CMR imaging or adenosine infusion. Nine patients had a documented history of myocardial infarction, and five had previous percutaneous coronary intervention. Further patient characteristics are listed in Table 1.
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70% luminal narrowing) was reported for the three coronary artery territories as per the American Heart Association definition (24) and in individual patients. Cardiac magnetic resonance was interpreted as abnormal if one or more components of the study showed an abnormality in a coronary artery territory, but, in this analysis, the observers were allowed to discard components with poor image quality or significant artifacts and base their evaluation on the remaining data.
CMR analysis—individual components.
In order to assess the performance of the individual CMR components, a separate second analysis session was carried out in which the four CMR components (function, perfusion, viability, and coronaries) were analyzed individually. At least two weeks separated the comprehensive and each of the individual analyses of the same patient. For this analysis, the observers had access to data from only one CMR component at a time. For each component, abnormalities in the three coronary artery territories as per American Heart Association definition (24) and in individual patients were reported. From the cine images, left ventricular function was graded as normal or impaired. Rest and stress perfusion data were analyzed as a single component and were reviewed in the movie-mode and by scrolling through the series of dynamic images. Perfusion was considered abnormal if the first pass of the contrast was delayed or the peak signal intensity was lower than in other parts of the myocardium. Both fixed (present at rest and stress) or inducible (present only at stress) perfusion defects were reported as abnormal. Late contrast-enhanced images were regarded as abnormal if any hyperenhancing myocardium was present. Coronary CMR images were analyzed by scrolling through the slices of the three-dimensional data sets, and stenoses that appeared to be 70% were reported as abnormal. For presentation purposes, coronary CMR images were reformatted after the analysis using SoapBubble software (Philips Medical Systems, Best, the Netherlands) (25).
X-ray coronary angiography.
X-ray coronary angiography was performed within 24 h after the CMR study using a standard technique (26). Two experienced cardiologists (the treating physician and M.U.S.) carried out qualitative analysis of the coronary angiograms independently and without knowledge of the CMR data. They reported the presence of significant CAD if one or more coronary stenosis of 70% luminal narrowing was seen in a main coronary vessel or major side branch of >2 mm diameter. In case of disagreement between the two observers, a consensus decision was made.
Statistical analysis.
The sensitivity, specificity, overall diagnostic accuracy, negative and positive predictive values, together with their corresponding 95% confidence intervals for the ability of visual CMR analysis to detect the presence of significant CAD were calculated using standard methods. This analysis was carried out for patients as a whole and for individual coronary territories. The sensitivity, specificity, and overall diagnostic accuracy of the comprehensive analysis in comparison with each CMR component were compared using McNemar's chi-square test. These analyses were repeated for the comparisons of a TIMI score 3 with the combined analysis. All statistical tests were two-sided and performed at the 5% significance level. Analysis was conducted using SAS version 8.2 (SPSS Inc., Chicago, Illinois).
Exploratory analyses were then conducted on combinations of several of the CMR components. For this, the results of individual CMR components were combined and derived as abnormal if one or more components were abnormal and normal if all components were normal. All possible combinations of two CMR components were analyzed as well as the three-way combinations of perfusion/wall motion/late contrast enhancement and coronaries/wall motion/late contrast enhancement. The resulting combined scores were compared with the comprehensive analysis using the methods described in the preceding text.
Finally, logistic regression modeling was used to assess the ability of each individual CMR component to predict the presence of significant CAD. A multivariate logistic regression model was constructed using a forward selection procedure, with a p value <0.05 for model entry, to assess the incremental predictive value of including each CMR component in the model.
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No adverse events occurred, and all 68 patients tolerated the CMR study well, including the pharmacologic stress component. The mean CMR imaging time was 62.5 ± 7.7 min.
Example images of one study patient, which illustrate the comprehensive range of information provided by CMR, are shown in Figure 2. Cardiac magnetic resonance suggested a large amount of viable myocardium at risk from a significant LAD stenosis, which was confirmed by X-ray angiography. Further examples of abnormalities detected by CMR are shown in Figures 3 to 5.
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Detection of significant CAD—comprehensive CMR analysis. The sensitivity, specificity, positive and negative predictive values, and overall accuracy for CMR analysis are provided in Table 2. Sensitivity and specificity are also presented in Figure 6. The comprehensive analysis of all CMR data correctly identified the presence of significant CAD in 54 patients (sensitivity 96%). A total of 10 of the 12 patients without significant CAD on X-ray angiography were identified as normal (specificity 83%). The overall diagnostic accuracy of the analysis was 94%, the negative predictive value 83%, and the positive predictive value 96%.
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Detection of significant CAD—individual CMR components. Of the individual CMR components, perfusion yielded the highest sensitivity, specificity, and overall accuracy. Wall motion and late contrast enhancement yielded low sensitivities but high specificities (Table 2 and Fig. 6).
Compared with the comprehensive analysis, the sensitivity of perfusion showed no statistically significant difference (p = 0.13). The sensitivity of coronaries (sensitivity 84%), wall motion (sensitivity 68%), and late contrast enhancement (sensitivity 57%) were significantly lower than the sensitivity of the comprehensive analysis (p = 0.039, p < 0.001 and p < 0.001, respectively). There were no statistically significant differences between the specificities of the comprehensive analysis and each individual CMR component.
The overall diagnostic accuracy of wall motion (accuracy 69%) and late contrast enhancement (accuracy 62%) were significantly lower than the overall diagnostic accuracy of the comprehensive analysis (p < 0.001 for both). There was no statistically significant difference between the overall accuracy of the comprehensive analysis and perfusion (accuracy 87%, p = 0.18) or coronaries (accuracy 82%, p = 0.11).
Detection of significant CAD—combinations of individual CMR components. Results of the exploratory analyses of combinations of individual CMR components are given in Table 3. Of the two-component combinations, analysis of perfusion plus coronary data showed the highest sensitivity (98%), which was significantly higher than the sensitivity of either perfusion (sensitivity 88%, p = 0.03) or coronaries alone (sensitivity 84%, p = 0.008). The combination of wall motion and late enhancement had the lowest sensitivity of the two-component combinations (77%) and was significantly less sensitive than the comprehensive analysis (96%, p < 0.001). There were no statistically significant differences between the sensitivities of either of the other two component combinations and the comprehensive analysis. All combinations had similar specificities with no statistically significant differences compared with the comprehensive analysis.
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Logistic regression analysis for the prediction of significant CAD. From the logistic regression analysis, perfusion was the most significant individual predictor (p < 0.0001) of the presence of significant CAD. The inclusion of coronaries significantly increased the predictive power of the logistic regression model containing perfusion alone (chi-square [8.29], p = 0.004). The inclusion of wall motion or late enhancement did not add any incremental predictive power to the model.
TIMI score 3.
A total of 38 patients had a low TIMI risk score (0 to 2), 27 had an intermediate risk score (3 to 4), and 3 patients had a high TIMI score (5 to 7). In comparison with the comprehensive analysis, a TIMI score 3 had a significantly lower sensitivity (sensitivity: TIMI = 50%, CMR = 96%, p < 0.001) and overall accuracy (overall accuracy: TIMI = 56%, CMR = 94%, p < 0.001) to detect the presence of significant CAD. The specificities were the same (83%), but a TIMI score 3 had a very low negative predictive value (26%) indicating a high number of false negatives if a TIMI score 3 was used to identify patients with significant CAD.
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This is the first report of CMR imaging with pharmacologic stress in patients presenting with ACS. We encountered no complications in our study, and 68 of 72 patients completed the whole examination. Failure rates due to claustrophobia and adenosine intolerance were comparable to previous reports in other patient groups (10,11). Our results, therefore, suggest that CMR imaging with adenosine stress can be safely applied to patients with NSTE-ACS.
Our results further suggest that CMR can be used to noninvasively detect the presence of significant CAD and, thus, determine the need for invasive assessment in patients presenting with NSTE-ACS. Although X-ray angiography would still be needed for those patients who undergo revascularization, CMR could provide a safe screening tool to select appropriate patients for invasive testing. At the level of accuracy reported here for the comprehensive CMR analysis, approximately one-third of X-ray angiograms could potentially be avoided (15–19). Importantly, the wide range of information provided by a comprehensive CMR study would also then complement the X-ray angiogram and guide appropriate clinical management, particularly of patients who require revascularization. Current guidelines emphasize that the decision to proceed to coronary revascularization in patients with CAD should not be based on the coronary anatomy alone, as is often the case in clinical routine, but should also consider ventricular function, the quantity of viable myocardium, and myocardium at ischemic risk (13). Only then can informed decisions regarding the appropriateness and benefits versus the risks of revascularization be taken. In current practice, this information is often not sought, because several different diagnostic modalities would have to be used. As we have shown and as illustrated in our figures, CMR could provide all the relevant data from a single noninvasive investigation.
The results of individual CMR components in our study were comparable to previous reports in other patient groups (3,4,9,10,12). In our population, perfusion imaging yielded the highest sensitivity and overall accuracy of any individual component and was the best individual predictor of the need for revascularization, followed by coronary CMR angiography. Interestingly, our visual perfusion analysis method yielded accuracy similar to previously reported semiquantitative methods (3,4). We speculate that this is, in part, due to our perfusion protocol, which may have been more optimized for visual analysis than in previous studies that reported a poorer performance of visual analysis compared with semiquantitative testing.
Our results have shown for the first time that the combined analysis of several CMR methods increases its diagnostic yield compared with analysis of individual methods. The separate analysis of individual CMR components can be limited by technical and practical problems such as imaging artifacts due to registration errors or poor patient breath-holding. Also, some measures such as viability imaging have a limited sensitivity by their very nature, as they only detect areas of completed infarction. In this study, and in our specific patient population, combining perfusion and coronary analyses significantly increased the sensitivity of CMR analysis and increased the predictive power in the logistic regression model. The best overall accuracy was achieved by the comprehensive analysis in which the observers had unrestricted access to all CMR data. Importantly, this did not come at the expense of a lower specificity compared with the analysis of single components. The main reason for this increased accuracy is that myocardial function, perfusion, viability, and coronary anatomy each assess a different manifestation of CAD and together provide a wide range of complementary information. Having access to data from other CMR methods is especially useful when one component shows a borderline result or is affected by image artifacts. This allows the observers to come to a more confident conclusion and, as we have shown, reduces false negative reports without increasing the false positives.
When we combined the results of individual CMR components in further exploratory analyses, the three-way combinations of perfusion/wall motion/late contrast enhancement and coronaries/wall motion/late contrast enhancement yielded accuracies comparable to the comprehensive analysis of all CMR data. In clinical practice, the former of these combinations would be particularly attractive because it avoids the need for time-consuming coronary CMR imaging and still provides the relevant clinical data of myocardial ischemia and viability. If confirmed in larger studies, this combination may offer an acceptable compromise between the time constraints encountered in clinical practice and the advantages of a more comprehensive CMR study.
We have studied a patient population at the high end of the risk spectrum, in whom a diagnosis of NSTE-ACS and the decision to proceed to X-ray angiography had already been taken by the treating physician. Although it is a limitation of our work that the number of patients without significant CAD was low given the high-risk group we have studied, our population complements a recent report by Kwong et al. (20) that demonstrated the ability of CMR to identify ACS in patients at the opposite lower end of the risk spectrum. We suggest that patients with a high risk of future clinical events and a high prevalence of CAD, studied in the present report, are most likely to require and benefit from invasive management and that it was, therefore, highly relevant to demonstrate that CMR can be used in patients with established or high-risk ACS. Although the role of CMR in the diagnostic pathway for CAD has yet to be established, the study by Kwong et al. (20) and our results taken together show that CMR can be applied across a wide range of disease prevalence.
In our study as well as in the report by Kwong et al. (20), CMR was more sensitive and accurate than the TIMI risk score to detect ACS and the need for revascularization, respectively. The TIMI risk score and other similar tools are designed to determine the risk of future cardiovascular events rather than to detect ACS or the need for revascularization, but are often used in clinical practice to select patients for early X-ray angiography in accordance with current guidelines (6). Cardiac magnetic resonance appears to be superior to the TIMI risk score to identify patients who will benefit from early invasive management. We suggest that the most important reason for the higher sensitivity of CMR compared with the TIMI risk score is that, rather than relying on indirect measures such as the electrocardiogram and biochemical markers, CMR allows a direct visual assessment of the pathologic processes that occur in NSTE-ACS and, in particular, detects myocardial ischemia. Another reason why the TIMI risk score may be a relatively weak predictor of the presence of significant CAD is that it includes a number of nonspecific and common risk factors. The current study could not formally compare the ability of CMR and the TIMI risk score to predict future clinical events, because only six cardiovascular end points occurred during follow-up. However, all end points occurred in patients with abnormal CMR studies, which suggests that CMR may offer prognostically relevant information. This will need to be confirmed in larger studies and compared with conventional methods of risk stratification.
We used the presence of significant CAD in patients rather than in individual vascular territories as the main end point of this study. The main reason for this is that, in the clinical context of suspected NSTE-ACS, we regarded the detection of CAD in a patient as the most important potential role for a noninvasive screening test to identify those patients who should be referred for invasive testing. The localization of disease to an individual coronary artery, while also possible as we have shown, is less important in this scenario. Another reason for our choice of this end point was that we wanted to compare CMR with the TIMI risk score, which, of course, does also not allow localization of disease.
In conclusion, this study has shown that CMR imaging is safe and accurate in patients presenting with NSTE-ACS. It can be used for the triage of patients to early invasive management or to provide important additional information in combination with X-ray angiography for a fully informed treatment of patients with NSTE-ACS.
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