Identifying myocardial injuries in “normal-appearing” myocardium in pediatric patients with clinically suspected myocarditis using mapping techniques

Introduction

Myocarditis is a myocardial inflammatory disease associated with various injuries, clinical manifestations and outcomes (Kindermann et al., 2012; Cooper Jr, 2009; Zagrosek et al., 2009). Myocarditis has been identified as a significant cause of sudden death in children (Blauwet & Cooper, 2010; Levine, Klugman & Teach, 2010). In addition, myocarditis may be an underlying cause of dilated cardiomyopathy (DCM) (up to 40% of DCM cases are caused by myocarditis) (Heymans et al., 2016) and may result in death or cardiac transplantation as long as 12 years after diagnosis (Towbin et al., 2006).

Cardiac magnetic resonance (CMR) has been an established noninvasive tool for the diagnosis and evaluation of myocarditis (Luetkens et al., 2014). Conventional CMR imaging, including T2 weighted imaging, T1 weighted imaging and late gadolinium enhancement (LGE) imaging, is most useful for evaluating focal myocardial injuries by visually comparing the affected area with the normal myocardium (Friedrich et al., 2009; Hamlin et al., 2014). These combined imaging sequences are an essential part of the “Lake Louise” criteria (2009) (Friedrich et al., 2009) and have considerable diagnostic accuracy in myocarditis patients with angina-like symptoms and recent symptom onset (Luetkens et al., 2016; Lurz et al., 2016; Radunski et al., 2014). Diffuse myocardial injuries in myocarditis may present as “normal-appearing” myocardium if it is not compared to normal myocardium. It can also be quantitatively analyzed by normalizing the signals of the myocardium to remote myocardium or skeletal muscles, although the diagnostic accuracy might be affected by abnormal signals of reference muscles (Friedrich et al., 2009; Radunski et al., 2017).

Currently, T1 and T2 mapping techniques are applied to determine the diagnosis and prognosis of myocarditis. Mapping techniques offer a quantitative assessment of the myocardium by using standardized, reproducible T1 and T2 values and have the potential to identify both focal and diffuse myocardial injuries from myocarditis (Hamlin et al., 2014). Extracellular volume (ECV), which is derived from the ratio of pre- and postcontrast T1 values, can measure the fraction of volume occupied by the extracellular space in the myocardium and has become a marker of myocardial tissue remodeling (Haaf et al., 2016). In 2018, updated “Lake Louise” criteria (Ferreira et al., 2018) were published, and parametric mapping techniques were included in the diagnostic criteria for myocardial inflammation. Compared with that of the original “Lake Louise” criteria, significantly improved diagnostic accuracy has been reported in patients with myocarditis using mapping techniques (Lurz et al., 2016; Radunski et al., 2014; Hinojar et al., 2015). In addition, diffuse myocardial injuries in DCM (Hong et al., 2015), myocardial infarctions (Ugander et al., 2012; Chan et al., 2012) and heart failure (Mascherbauer et al., 2013; Iles et al., 2015) have been reported by mapping techniques. Myocarditis with focal myocardial injuries has been fully shown using conventional CMR and mapping techniques. However, myocarditis with “normal-appearing” myocardium that might result from diffuse myocardial injuries has received less attention.

In our study, we focused on the “normal-appearing” myocardium—myocardium without focal myocardial edema or necrosis/fibrosis visible on conventional CMR—in pediatric patients with clinically suspected myocarditis. We attempted to determine whether T1 and T2 mapping techniques could identify diffuse myocardial injuries in pediatric myocarditis patients, and we then evaluated whether there were associations between diffuse myocardial injuries and cardiac function in these patients.

Materials and Methods

In this prospective study, pediatric patients with clinically suspected myocarditis from Feb 2016 to Jan 2018 in our hospital were included. All patients were diagnosed by an experienced pediatrician according to the myocardial diagnostic criteria proposed by the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases (Caforio et al., 2013). According to the duration of symptoms from onset to CMR examinations, myocarditis patients were divided into 2 groups: the acute myocarditis (AM) group (≤3 months) and the subacute/chronic myocarditis (CM) group (>3 months). Exclusion criteria were contraindications for CMR, coronary artery diseases, congenital heart diseases, cardiomyopathies, or other medical history of cardiac disease (Luetkens et al., 2016). Clinical manifestations, immunological features and electrocardiography (ECG) results were recorded. Children with some mild nonspecific symptoms (such as fatigue, chest congestion) performed CMR examinations to rule out myocarditis. We included 15 control children with normal immunological features, electrocardiography (ECG) and CMR in our study as normal group (NC group). The study was approved by the ethics committee of Shandong Medical Imaging Research Institute, and written informed consent was obtained from the parents of pediatric patients (No. 2016-001).

CMR image analysis

All the original image data were processed on the workstation (Siemens Medical Systems). Two experienced CMR radiologists (C.Y.W and H.P.W), who were blinded to patient information, independently analyzed all CMR images.

Left ventricular (LV) cardiac function parameters were evaluated in the cine images. LV endocardial and epicardial contours were drawn manually for each diastolic and systolic frame in the sequential SA cine images, and LV cardiac function parameters, including end-diastolic volume (EDV), end-systolic volume (ESV), left ventricle ejection fraction (LVEF), LV mass and stroke volume (SV), were automatically acquired on the workstation. LV cardiac function parameters were standardized as follows (Kawel-Boehm et al., 2015):

Standardized LV cardiac function parameters = LV cardiac function parameters/ body surface area (BSA).

The papillary muscles and trabeculations were included as part of ventricular cavity (Buechel et al., 2009).

Myocardial edema and necrosis/fibrosis were defined by visual assessment in the T2-weighted images and LGE images. The presence and location of myocardial edema or fibrosis were independently evaluated by two CMR radiologists according to the 17-segment model proposed by the American Heart Association (AHA) (Cerqueira et al., 2002). For the contradictory findings regarding myocardial injuries after independent evaluation, two CMR radiologists would discuss the findings together and reach a consensus. The myocardium without edema or necrosis/fibrosis was defined as “normal-appearing” myocardium, which might include normal myocardium and abnormal myocardium with diffuse myocardial injuries.

T1 and T2 values of “normal-appearing” myocardium in the HLA and SA orientations were measured directly in their T1 and T2 maps. Endocardial and epicardial borders were carefully contoured to exclude artifacts, epicardial fat and blood pools. Then, the T2 values, native T1 values, and postcontrast T1 values of “normal-appearing” myocardium in the HLA and three SA orientations were acquired (Fig. 1). T1 and T2 values in three SA orientations were averaged for data analysis. The extracellular volume (ECV) of the “normal-appearing” myocardium was calculated using native and postcontrast T1 values of the myocardium and blood pools as well as hematocrit (HCT), as follows (Luetkens et al., 2014): ${\displaystyle \text{ECV}\left(\text{\%}\right)=\left(1-\text{HCT}\right)\times \left(\Delta \text{R1 of myocardium}∕\Delta \text{R1 of blood pool}\right)\text{R}1=1∕\text{T1};\Delta \text{R}1=\text{postcontrast}\text{R1}-\text{native R1}.}$

The native and postcontrast T1 values of the blood pools were also measured directly in the LV cavity, avoiding the papillary muscle. Myocardium with higher T1 and T2 values and ECV was identified as abnormal myocardium with diffuse myocardial injuries.

Results

Twenty pediatric patients with acute myocarditis (10 male; median age, 9 years old), 11 patients with subacute/chronic myocarditis (9 male; median age, 6 years old) and 15 control children (9 male; median age, 11 years old) were included in the study.

CMR findings

The standard LV cardiac function parameters and myocardial tissue characterizations in the AM, CM and NC groups are shown in Table 2. Two AM patients and two CM patients were sedated and underwent CMR examinations under free-breathing conditions, and the remaining patients underwent CMR examinations with respiratory gating. There were no statistically significant differences in standardized EDV, ESV, LV mass, SV and LVEF among the AM, CM and NC groups. Regional myocardial edema or necrosis/fibrosis was found in 7 AM patients (35.0%) and four CM patients (36.4%).

Table 2:

The CMR findings in AM, CM and NC groups.

Groups	NC (n = 15)	AM (n = 20)	CM (n = 11)	P-values
Standardized cardiac morphology and function
EDV(mm)	76.8 ± 4.3	74.2 ± 3.4	78.3 ± 2.5	0.73
ESV(mm)	30.3 ± 2.3	30.1 ± 2.0	32.4 ± 1.7	0.75
LVM(g/mm2)	48.8 ± 2.5	47.8 ± 1.9	44.6 ± 2.7	0.48
SV (ml−1)	46.6 ± 2.4	44.2 ± 1.6	45.9 ± 2.4	0.68
LVEF(%)	61.1 ± 1.3	60.1 ± 1.1	58.6 ± 2.0	0.51
Myocardial tissue characterization
T2 (%)	–	6 (30.0%)	2 (18.2%)	0.31
LGE (%)	–	7 (35.0%)	4 (36.4%)	0.94
T1 and T2 values of “normal-appearing” myocardium				P1	P2	P3
T2 SA, (ms)	37.2 ± 0.3	37.4 ± 0.5	37.1 ± 0.2	0.54b	0.65b	0.09b
T1 SA (ms)	1,297.6 ± 8.0	1,328.4 ± 8.0	1,320.8 ± 13.0	0.09b	0.50b	0.38b
ECV SA(%)	27.0 ± 0.6	28.1 ± 0.5	30.1 ± 0.9	0.20*	0.004*	0.57*
T2 HLA(ms)	37.1 ± 0.5	36.7 ± 0.4	37.2 ± 0.5	0.08b	0.90b	0.60b
T1 HLA (ms)	1323.3 ± 8.6	1336.0 ± 11.5	1305.1 ± 8.0	0.56b	0.44b	0.05b
ECV HLA (%)	28.6 ± 0.5	28.5 ± 0.7	29.8 ± 1.5	0.90*	0.35*	0.58*

DOI: 10.7717/peerj.10252/table-2

Notes:

Values are presented as mean ± SE. P₁: values comparison between AM and NC; P₂: values comparison between CM and NC; P₃: values comparison between AM and CM;

*P values adjusted for: None

aP values adjusted for: BSA and heart rate.

bP values adjusted for: BSA, heart rate, hematocrit and sex.

NC

normal control

AM

acute myocarditis

CM

subacute/chronic myocarditis

HLA

horizontal long axis

SA

short axis

ECV

extracellular volume

EDV

end-diastolic volume

ESV

end-systolic volume

LVM

LV mass

SV

stroke volume

LVEF

left ventricle ejection fraction

The T1 and T2 values and ECV of “normal-appearing” myocardium in the AM, CM and NC groups are shown in Table 2 and Fig. 2. Compared with that of the NC group, the ECV of the “normal-appearing” myocardium was significantly higher in the CM group after adjusting for BSA, sex, heart rate or HCT (SA: 30.1 ±0.9 vs 27.0 ±0.6, P = 0.004). No significant differences in T1 and T2 values were found between the AM and NC groups.

To study whether focal myocardial injuries would influence the T1 and T2 values and ECV of “normal-appearing” myocardium, we divided myocarditis patients into another two groups: myocarditis patients with focal myocardial injuries (35.5%) and without focal myocardial injuries (64.5%). No significant differences in T1 or T2 values or ECV between the two groups were found. The T1 and T2 values and ECV of “normal-appearing” myocardium in myocarditis patients with and without focal myocardial injuries are shown in Table 3.

In the CM group, we found negative associations between ECV and LVEF (OR, −0.4; 95% CI, −0.7, −0.1; P = 0.03) after adjusting for age, sex, heart rate or HCT. The associations between ECV and LV cardiac function parameters in the CM group are shown in Table 4.

Discussion

In our study, we evaluated the tissue-related changes of “normal-appearing” myocardium in pediatric patients with clinically suspected myocarditis using mapping techniques. We found that ECV could detect diffuse myocardial injuries in “normal-appearing” myocardium in pediatric CM patients, and ECV was associated with LVEF. Therefore, mapping techniques could increase the sensitivity of CMR for monitoring diffuse myocardial injuries in patients with clinically suspected myocarditis.

Mapping technologies could be influenced by numerous factors, including the MR scanner, magnetic field strength, exact sequence used, image acquisition plane, contrast agent dose and patient’s physiological differences (Hamlin et al., 2014; Ugander et al., 2012; Neilan et al., 2013; Sado et al., 2012; Liu et al., 2013). In our study, the scanning protocols of the different mapping technologies were identical, and interaction tests and covariate screenings were performed to adjust for BSA, sex, age, heart rate and HCT of subjects and could minimize the influence of confounding variables.

LGE has been an established noninvasive tool to evaluate focal myocardial necrosis/fibrosis and has shown excellent correlation with pathology (Luetkens et al., 2014). In acute “infarct-like” myocarditis, a high sensitivity of LGE has been reported (Schwab et al., 2016). However, it is not very sensitive in very mild myocarditis cases, which might have diffuse myocardial tissue-related changes. In contrast to LGE, ECV is well suited to measure focal and diffuse myocardial fibrosis and exhibits the best agreement with histological measures of the collagen volume fraction. ECV has been shown to be reproducible, predict outcomes and provide “added prognostic value” in myocardial disease (Ferreira et al., 2018; Messroghli et al., 2017). For myocarditis, ECV has been included in the updated “Lake Louise” criteria (Ferreira et al., 2018), which could certainly greatly improve the diagnostic sensitivity for myocarditis over that of the original “Lake Louise” criteria, especially in myocarditis with diffuse myocardial injuries.

In our study, we found that the ECV of “normal-appearing” myocardium was significantly higher in pediatric CM patients than in NC patients, which indicated diffuse myocardial injuries. Myocarditis has been identified as an underlying cause of DCM, and up to 40% of DCM cases are caused by myocarditis (Heymans et al., 2016). The availability of murine models of myocarditis has facilitated much of our understanding of the pathogenesis of myocarditis-DCM (Sagar, Liu & Cooper Jr, 2012). During the progression of myocarditis, inflammatory cells embedded in the interstitial matrix contribute to the inflammatory response and cardiac remodeling. The expansive interstitial matrix could be measured by ECV (Haaf et al., 2016). In our study, diffuse myocardial injuries were more likely to occur in CM patients than in AM patients. Abnormal cTnT or BNP was observed in 63.6% of CM patients during CMR examination, which was higher than that in AM patients (45.0%). We hypothesized that expansive interstitial matrix deposition was likely to occur in CM patients with prolonged and recurrent inflammatory responses. ECV might be a marker of myocarditis leading to DCM. The values of ECV related to the outcomes of CM patients have been followed up and will be discussed in future studies. ECV quantification of interstitial expansion remains a powerful tool to investigate diffuse myocardial injuries.

In our study, native T1 values of the “normal-appearing” myocardium were not significantly higher in AM and CM patients than in NC patients, which was inconsistent with recent data by Radunski et al. (2017). Radunski UK et al. found that native T1 values in the “normal-appearing” myocardium of AM patients were significantly higher than the reference values from the myocardium of healthy volunteers. This discrepancy could be explained by the fact that all the AM patients who Radunski UK included had typical focal myocardial LGE findings, while the inflammatory response in our study was mild. Despite this, a higher ECV of “normal-appearing” myocardium was observed in the CM group. Native T1 values perform as composite indicators of both intracellular and extracellular compartments (Burt et al., 2014) and, therefore, can be less sensitive to increased extracellular space or more sensitive to other characteristics of the tissue (such as increased iron content, fatty deposition, and edema) (Burt et al., 2014). ECV is derived from the ratio of T1 signal values and simply quantifies the interstitial presence of gadolinium relative to plasma (Haaf et al., 2016). ECV represents a physiological parameter, and its values are therefore reproducible. Therefore, ECV could reflect diffuse myocardial injuries with more sensitivity than native T1 values.

In our study, T2 values in the “normal-appearing” myocardium of AM patients was not significantly higher than those in the NC group, which was in agreement with the findings of Radunski et al. (2017). In addition to the disadvantages of T2 mapping due to unstable myocardial edema (Radunski et al., 2017), we also reasoned that mild myocardial inflammation in our study would have influenced the results.

In our study, we found associations between ECV and LVEF in CM patients, which have also been reported in patients with diabetic cardiomyopathy, myocardial infarction, hypertrophic cardiomyopathy and heart failure (Hong et al., 2015; Ugander et al., 2012; Chan et al., 2012; Mascherbauer et al., 2013; Iles et al., 2015). The pathophysiology of myocarditis in murine models suggests that a persistent inflammatory response in the chronic phase of myocarditis leads to ventricular remodeling, which is characterized by myocyte hypertrophy, myocyte apoptosis, contractile dysfunction and extracellular matrix volume expansion (Kindermann et al., 2012; Cooper Jr, 2009; Hinojar et al., 2015; Elamm, Fairweather & Cooper, 2012). ECV has become a marker of myocardial tissue remodeling (Haaf et al., 2016), and it could predict outcomes and provide “added prognostic value” in myocardial disease (Ferreira et al., 2018; Messroghli et al., 2017). Early data indicate that ECV appears to be as prognostically important as LVEF (Eitel et al., 2015; Sanguineti et al., 2015), which underestimates the biological importance of the interstitium. In our study, CM patients had increased ECV and normal LVEF. ECV is comparable to LVEF as a marker to evaluate myocardial injuries.

This study has several potential limitations. First, the myocarditis patients involved in our study were diagnosed according to the diagnostic criteria for clinically suspected myocarditis proposed by the ESC Working Group on Myocardial and Pericardial Diseases (Caforio et al., 2013). Endomyocardial biopsy should be the gold standard for the definitive diagnosis of myocarditis. However, it might be unrealistic to perform biopsies in most pediatric myocarditis patients. In our study, 85.0% AM patients and 72.7% CM patients fulfilled more than 3 criteria for clinically suspected myocarditis, which increased the strength of the suspicion for myocarditis. Second, the severity of myocardial inflammation was less severe than that reported in other studies. We did not acquire significant results with native T1 mapping and T2 mapping. The diagnostic efficacy for myocarditis according to the “Lake Louise” criteria was low. Third, the intervals from onset to CMR examinations varied based on the patient’s condition, which might have influenced the CMR findings. Fourth, the number of pediatric myocarditis patients included in the study was limited. Analyses of larger populations should be performed in the future.

Conclusion

In conclusion, diffuse myocardial injuries are likely to occur in CM patients with prolonged inflammatory responses. Mapping techniques have great value for the diagnosis and monitoring of myocarditis.

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