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J Am Coll Cardiol, 2005; 45:1815-1822, doi:10.1016/j.jacc.2004.11.069 © 2005 by the American College of Cardiology Foundation |

* Franz-Volhard-Klinik, Charité Campus Buch, Universität Medizin Berlin, Berlin, Germany
Stephenson CMR Centre, Departments of Cardiac Sciences and Radiology, University of Calgary, Calgary, Alberta, Canada
Manuscript received September 1, 2004; revised manuscript received November 3, 2004, accepted November 11, 2004.
* Reprint requests and correspondence: Dr. Jeanette Schulz-Menger, Wiltbergstr. 50, D-13125, Berlin, Germany. (Email: schulzmenger{at}fvk-berlin.de).
| Abstract |
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BACKGROUND: Acute myocarditis is difficult to diagnose; CMR provides various means to visualize myocardial inflammatory changes. A CMR approach with clear-cut diagnostic criteria would be desirable.
METHODS: We investigated 25 patients with suspected acute myocarditis (18 males, 44 ± 17 years) and 23 healthy controls (13 males, 29 ± 10 years). Cardiovascular magnetic resonance studies included the following sequences: 1) T2-weighted triple inversion recovery; 2) T1-weighted spin echo before and over 4 min after gadolinium injection; and 3) inversion recovery-gradient echo 10 min after gadolinium injection. Qualitative and quantitative image analysis was performed for: 1) focal and global T2 signal intensity (SI); 2) myocardial global relative enhancement (gRE); and 3) areas of late gadolinium enhancement (LGE).
RESULTS: Both global T2 SI and gRE were higher in patients than in controls (T2: 2.3 ± 0.4 vs. 1.7 ± 0.4; p < 0.0001, gRE: 6.8 ± 4.0 vs. 3.7 ± 2.3; p < 0.001). The sensitivity, specificity, and diagnostic accuracy for T2 (cutoff value of 1.9) were 84%, 74%, and 79%, respectively; gRE: (cutoff value of 4.0) 80%, 68%, and 74.5% respectively; LGE: 44%, 100%, and 71%, respectively. The best diagnostic performance was obtained when "any-two" of the three sequences were positive in the same patient yielding a 76% sensitivity, 95.5% specificity, and 85% diagnostic accuracy.
CONCLUSIONS: A combined CMR approach using T2-weighted imaging, early and late gadolinium enhancement, provides a high diagnostic accuracy and is a useful tool in the diagnosis and assessment of patients with suspected acute myocarditis.
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| Methods |
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Control group. Twenty-three healthy volunteers (13 males, age 29.3 ± 10 years) with no current or past evidence of cardiovascular disorders served as our control group.
A written informed consent was obtained from each subject, and the local ethics committee approved the study.
CMR. Cardiovascular magnetic resonance studies were performed in a 1.5-T system (Signa CV/i, GE Medical Systems, Milwaukee, Wisconsin). Localization was performed using breath-hold real time and steady-state free precession images of true anatomical axes of the heart. For the T2- and T1-weighted spin echo sequences, which were used for a quantitative evaluation, the body coil was used. We applied a breath-hold, black-blood, T2-weighted, triple inversion recovery sequence (TR 2 x RR, TE 65 ms, TI 140 ms) in three (basal, midventricular, and apical) short-axis slices (slice thickness 15 mm, gap 5 mm, field of vision 34 to 38 cm, matrix: 256 x 256). Breath-hold steady-state free precession images (TR 3.8 ms, TE 1.6 ms) were acquired in two- and four-chamber views to assess global ventricular function. We then applied a free breathing spin echo sequence in four identical axial slices both before and after (without any change in parameters in between) intravascular injection of 0.1 mmol gadolinium-diethylenetriaminepentaacetate (DTPA) (Magnevist, Schering, Germany) using an automated injector (Medrad, Indianola, Pennsylvania). The sequence was started immediately after injection and lasted 3 to 4 min; thus, the images reflect gadolinium enhancement at a mean of 2 min. After the acquisition of spin echo images, an additional dose (0.1 mmol) of gadolinium-DTPA was injected, and a breath-hold contrast-enhanced inversion-recovery gradient-echo sequence (TR 5.5 ms, TE 1.4 ms, TI 225 to 275 ms as individually optimized to null myocardial signal, matrix 256 x 192, slice thickness/gap 15/5 mm) was applied after a delay of 10 min in three short- and three long- (two-, three-, and four-chamber views, respectively) axis slices.
Coronary angiography. Coronary angiography was performed on a standard angiography suite (Hicor, Siemens, Erlangen, Germany) in 21 patients to exclude the presence of significant coronary artery disease (>70% stenosis).
Clinical analysis. Two observers (A.Z. and P.B.), who were blinded to CMR data, assessed the clinical course of the patients during their hospital stay.
Image analysis.
Spin echo images
Regions of interest covering the left ventricular myocardium as well as within a skeletal muscle (erector spinae or lattisimus dorsi) in the same slice were manually drawn in the precontrast images and were copied to the postcontrast images (Fig. 1), and gRE was calculated as previously described (2).
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Qualitative analysis
This was performed by the consensus agreement of two observers (J.S-M. and H.A-A.) who were blinded to the patients clinical data. Images were evaluated for the presence or absence of focal or segmental areas of high T2 SI.
LGE.
Qualitative analysis
This was done for the presence, number, and transmurality of LGE areas.
Quantitative analysis
Areas of LGE (those with SI more than the normal myocardium plus two standard deviations) were delineated similar to that in T2 imaging. Regions of interest were also drawn within background air. The contrast-to-noise ratio (CNR) and the signal-to-noise ratio (SNR) of LGE were then calculated as follows:
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Statistics. All statistical tests were performed using a commercially available statistical program (SPSS 11 for Macintosh, SPSS Gmbh Software, Munich, Germany). Data are presented as mean ± SD. Continuous variables were compared using the Mann-Whitney U test and noncontinuous data using the chi-square test. Data were correlated using the Spearman correlation coeffecient. Reciever operating charcteristic curves were used to identify the cutoff values of gRE and global T2 signal changes. A p value <0.05 was considered significant.
| Results |
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Combined approach. The best diagnostic performance was obtained when any two of the criteria obtained by the three techniques were positive (T2: SI ratio 1.9; gRE: SI ratio 4.0; LGE: presence of visually detectable bright areas) in the same patient. This approach had 76% sensitivity, 95.5% specificity, and 85% diagnostic accuracy (Fig. 5). Specifically, gRE and T2 were positive in 64%, LGE and T2 in 40%, LGE and gRE in 36%. The three sequences were all positive in 32% of the patients and in none of the controls.
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| Discussion |
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LGE. The exact pathophysiological grounds of LGE in myocarditis are still under investigation. Myocardial necrosis in the acute phase appears to play a major role, but also severe edema could sufficiently increase the volume of distribution of gadolinium to cause visually detectable SI changes. The absence of a significant correlation between LGE and troponin release is not surprising and may reflect one of two possibilities: first, it could be thatat least in some patientsthese foci represent replacement fibrosis from previous subclinical episodes of myocarditis, which would then result in gadolinium accumulation similar to that in a chronic myocardial scar (11) in the absence of elevated troponin. Second, diffuse myocarditis could result in troponin release (12) without LGE.
The incidence of LGE in myocarditis is a controversial issue. The 44% incidence we observed is in perfect agreement with the 44% found by Rieker et al. (5). Kuhl et al. (13), using antimyosin scintigraphy, observed focal myocardial cell damage in 55%. Mahrholdt et al. (3), however, reported a much higher incidence of LGE (88%). The reason for discrepancy may be related to differences in patient populations or study designs. Whereas we and Rieker et al. (5) studied patients in the acute phase of the disease, Kuhl et al. (13) and Mahrholdt et al. (3) included a significant fraction of patients with "healed" myocarditis. Moreover, the pattern of myocardial injury is influenced by the virus type (14). This could partially explain differences between our results and those of Mahrholdt et al. (3) where parvovirus was identified as a causative agent in a significant fraction of patients. Parvovirus is unique in selectively injuring the endothelial cells resulting in microinfarcts (15), which may be detectable as LGE.
The classical pathological description of myocarditis, the so-called Dallas criteria (16), can also provide insight into the incidence of LGE in myocarditis. Active myocarditis is defined as inflammatory reaction with myocyte injury. This is expected to result in LGE secondary to the focal expansion of the extracellular space. In borderline myocarditis, however, myocyte injury is lacking, and it is in this group of patients that LGE may not be observed.
Finally, the clinical significance of LGE in myocarditis is yet to be defined. We did not find a significant correlation between LGE and markers of disease severity such as ejection fraction or duration of hospital stay. Nevertheless, the finding that there are two subgroups of myocarditis patientsthose with and those without LGEholds promise that LGE may provide additional significant prognostic information. Specifically, we propose two hypotheses which, if proven to be true, could define an exciting role of CMR to risk-stratify myocarditis patients. First, the link between myocarditis and the later development of dilated cardiomyopathy is well-established (17). Yet only a fraction of myocarditis patients progress to dilated cardiomyopathy. McCrohon et al. (18) found that a group of dilated cardiomyopathy patients exhibit a pattern of focal enhancement similar to the one we observed in myocarditis patients. It seems intriguing to postulate that those myocarditis patients with positive LGE may be more likely to develop dilated cardiomyopathy. Second, the border zone between scar tissue and healthy myocardium is a known substrate for electrical instability. The question of whether myocarditis patients with LGE would be, thus, more liable to develop ventricular arrhythmias deserves to be a research focus.
T2-weighted imaging. The most likely explanation for the T2 abnormalities we observed in myocarditis patients is the water-sensitive characteristics of this technique, which allows the detection of tissue edema, a substantial feature of the acute inflammatory reaction in the myocardium (19). Other than expected, a focal increase in T2 signal was not always associated with LGE. Although there was a significant correlation between the two findings, many patients had LGE or T2 abnormality only (Figs. 2 and 4). It seems that the evolution/resolution pattern of myocardial edema might be different from that of LGE. Accordingly, at a particular "time window" after the symptoms, only one of the two is detectable. One other possibility would be that focal edema marks a less severe form of myocardial injury, which then may or may not progress to actual necrosis in a cascade similar to that of acute ischemic injury (20). Another unexpected finding was the absence of a significant correlation between the global myocardial T2 signal and global myocardial enhancement. One would expect that tissue edema should increase both myocardial T2 SI as well as the volume of distribution of gadolinium-DTPA with subsequent increase in myocardial enhancement. It could be that global myocardial edema results in a degree of capillary compression hindering abnormal contrast enhancement (21), which then starts to increase with the resolution of edema. This differential time course is supported by the finding that only T2 abnormalities significantly correlated with laboratory markers of acute myocardial injury.
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Study limitations and technical considerations. The parameter that should be used as the "gold standard" to identify myocarditis remains a controversial issue. Some investigators used endomyocardial biopsy to identify the disease (6,22,25), and many others relied instead on a combination of clinical, laboratory, ECG, and angiographic findings (7,23,26,27). We have also relied on this later approach for the following reasons: first, the sensitivity of endomyocardial biopsy to identify myocarditis is limited possibly secondary to the focal nature of the disease (28). Using polymerase chain reaction to identify viral genomes in the myocardium, disagreement with the results of myocardial biopsy was noted in 50% of the cases (29). This likely explains the discrepancy between the low incidence of biopsy-identified myocarditis in many trials and the clinical or postmortem incidence of the disease (25,27,30). Second, the majority of our patients were young with an acute, often fairly unstable presentation; thus, we did not want to subject this group of patients to unnecessary invasive procedures.
Although there is a theoretical possibility that patients in our study suffered from undetectable coronary heart disease, the absence of any coronary stenosis makes an ischemic injury unlikely. In the four patients without catheter verification of the absence of coronary stenosis, neither the risk profile nor other clinical criteria or injury morphology indicated any evidence for coronary heart disease. But, more importantly, the pattern of either a complete lack of scarring or a focal injury distribution not attributable to epicardial coronary artery occlusion makes this very unlikely. Late gadolinium enhancement images were acquired using a slice thickness of 15 mm, which may have reduced the sensitivity to detect small lesions. This was chosen to match the slice thickness of T2 images to maximize the signal-to-noise ratio of this technique. To reduce the possibility of missing small lesions, we acquired additional LGE images in long-axis slices.
Conclusions. A combined CMR approach using T2-weighted imaging, early and LGE provides a high diagnostic accuracy and is a useful tool in the diagnosis and assessment of patients with suspected acute myocarditis.
| Acknowledgments |
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| References |
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