Abstract
Background
Native T1 mapping has emerged as a noninvasive non-contrast magnetic resonance imaging (MRI) method to assess for diffuse myocardial fibrosis. However, LV native T1 time in AF patients and its clinical relevance are unclear.
Methods
Fifty paroxysmal AF patients referred for PVI (60±8 years, 37 male) and 11 healthy control subjects (57±8 years, 10 male) were studied. All patients were in sinus rhythm during the MRI scan. Native T1 mapping images were acquired using a Modified Look-Locker imaging (MOLLI) sequence in 3 short-axis planes (basal, mid and apical slices) using an electrocardiogram triggered single-shot acquisition with a balanced steady-state free precession readout. Late gadolinium enhanced (LGE) MRI was acquired to evaluate for LV myocardial scar.
Results
LV ejection fraction was similar between groups (AF: 61±6%; controls: 60±6%, p=0.75). No LV myocardial scar was observed in any patient on LGE. Myocardial native T1 time was greater in AF patients (1099±52 vs 1042±20 msec, p<0.001). During a median follow-up period of 326 days, 18 of 50 (36%) patients experienced recurrence of AF. Multivariate Cox proportional hazard analysis identified elevated native T1 time as an independent predictor of recurrence of AF (HR: 6.53, 95% CI: 1.25–34.3, p=0.026).
Conclusions
There are differences in the native LV myocardial T1 time between AF patients with preserved LV function referred for PVI and normal controls. Native T1 time is an independent predictor of recurrence of AF after PVI in patients with paroxysmal AF.
Keywords: T1 mapping, magnetic resonance imaging, fibrosis, atrial fibrillation, cardiomyopathy, recurrence of atrial fibrillation
Background
Atrial fibrillation (AF) is the most common sustained arrhythmia, affecting 2% for those <65 years and 9% of those ≥65 years in the United States1. The symptoms of AF vary greatly, ranging from minimal to severe disability. AF is associated with a 5-fold increased risk of stroke2 and a 3-fold increased risk of heart failure3–5. In AF patients, diffuse myocardial interstitial fibrosis may occur due to tachycardia induced cardiomyopathy6. Previous studies demonstrated that tachycardia induced cardiomyopathy may progress to heart failure and lethal ventricular arrhythmia in AF patients7–9. Therefore, detection of underlying LV myocardial abnormalities in AF patients is essential for clinical management.
Native T1 mapping has been introduced as a robust magnetic resonance imaging (MRI) technique for the assessment of diffuse myocardial fibrosis in various cardiovascular disease. Recent studies has demonstrated that native T1 mapping detects left ventricular (LV) myocardial abnormalities in patients with hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM)10, cardiac amyloidosis11 and Anderson-Fabry disease11, 12. Native T1 mapping could be useful to assess the extent of myocardial injury by acute myocardial infarction13. To the best of our knowledge, no data are available regarding LV native T1 time in AF patients. We hypothesized that native T1 mapping could detect the subclinical LV myocardial abnormality in AF patients.
Therefore, we sought to compare native myocardial T1 time by using a modified Look-Locker inversion recovery (MOLLI) sequence in patients with AF and healthy control subjects; and to investigate whether native T1 time can predict the recurrence of AF after their first pulmonary vein isolation (PVI) in patients with paroxysmal AF.
Materials and Methods
Study subjects
Inclusion criteria of this prospective study included a history of paroxysmal AF patients referred for their first PVI. Exclusion criteria included patients in AF during MRI scan, reduced LV systolic function (LVEF<50%)14, cardiomyopathy (HCM, DCM15), cardiac sarcoidosis and amyloidosis, severe valvular heart disease, prior myocardial infarction and contraindication to MRI examination (claustrophobia, pacemaker implantation etc.). According to this criteria, we enrolled 50 paroxysmal AF patients. Eleven subjects without any history of cardiovascular diseases including AF were recruited as healthy controls.
Acquisition of MRI
All MRI data were acquired using a 1.5-T MRI system and a 32-channel cardiac phased array receiver coil (Achieva, Philips Healthcare, Best, The Netherlands). The study protocol was approved by our institutional review board, and written informed consent was obtained from all study subjects. Cine MRI, T1 mapping and 3 dimensional late gadolinium enhancement (LGE) MRI were imaged in all participants. T1 mapping of LV myocardium was performed using a MOLLI sequence16.
Cine MRI acquisition
Electrocardiogram (ECG) monitoring leads were positioned on supine patients. Vertical and horizontal long-axis cine MRI images of the LV were acquired using a steady-state free precession (SSFP) sequence. LV volumes and mass were calculated from an LV short-axis stack of cine images extending from the apex to the base (repetition time (TR), 3.3 ms; echo time (TE), 1.6 ms; flip angle (FA), 60°; field-of-view (FOV), 320×320 mm; acquisition matrix, 128×128; slice thickness, 8 mm; gap, 2 mm).
Native T1 mapping by MOLLI
T1 mapping images of LV myocardium were acquired in 3 short-axis planes (basal, mid and apical). Images were acquired during an end-expiration breath-hold using an ECG-triggered single-shot acquisition with a balanced SSFP readout (TR, 3.1 ms; TE, 1.5 ms; FA, 35°; FOV, 360×337 mm2; acquisition matrix, 188×135; voxel size, 1.9×2.5 mm2; slice thickness, 8 mm).
Late gadolinium enhancement
Fifteen minutes after the injection of 0.2 mmol/kg gadobenate dimeglumine (MultiHance; Bracco, Rome, Italy), LGE images were acquired using a 3 dimensional sequence17 (TR, 5.3 ms; TE, 2.1 ms; FA, 70°; FOV, 320×320×125 mm3; acquisition matrix, 224×224×23; spatial resolution,1.4×1.4×4 to 5mm; reconstruction resolution, 0.6×0.6×2 to 2.5mm).
Image analysis
Data were analyzed using a commercial workstation (Extend MR WorkSpace, version 2.3.6.3, Philips Healthcare). To determine LV mass, end-diastolic epi- and endocardial LV borders were manually traced on the short axis dataset. LV mass was calculated as the sum of the myocardial volume multiplied by the specific gravity (1.05 g/mL) of myocardial tissue18. Left atrial transverse dimensions were measured in the end-systolic phases using 4 chamber view. Short-axis slices of native T1 mapping images were analyzed using custom software (MediaCare, Boston, Massachusetts). After manually contouring endocardial and epicardial LV borders, the LV was divided into 6 segments for base and mid slices, 4 segments for apical slice using the anterior right ventricular-LV insertion point as reference. The 16 segment model was used to compare the native T1 time in each segment. Motion correction was performed using the Adaptive Registration of varying Contrast-weighted images for improved Tissue Characterization (ARCTIC) approach for both T1 mapping19. To evaluate inter-observer reproducibility, measurements of native T1 time from 10 AF patients and 10 normal subjects were independently taken by two observers. One of the two observers measured native T1 time twice to assess intra-observer reproducibility. Visual assessment was performed to evaluate presence or absence of LV myocardial scar on LGE MRI by two independent observers.
Procedure of PVI
The electrophysiology procedure was performed by a femoral venous approach. A decapolar catheter was positioned in the coronary sinus and a second catheter was placed in the right atrium. Transseptal punctures were performed to obtain left atrial access. Following transseptal puncture, patients received intravenous heparin to maintain a serum activated clotting time >250msec. Three-dimensional electroanatomic mapping of the left atrium and PV was performed using a non-irrigated 4 or 8 mm tip NaviStar™ catheter (Biosense Webster) and CARTO™ (Biosense Webster) and/or EnSite NavX™ (Endocardial Solutions) recording systems. Ablation was performed for 20–60 sec with a target temperature of 52°C. All PV were routinely isolated for all patients.
Clinical follow up
Follow up information was obtained from online medical record. Early AF recurrence was defined as AF occurring within 3 months after PVI. Late AF recurrence was defined as AF occurring between 3 months and 12 months after PVI20–22. AF recurrence was confirmed by either ECG or cardiac monitoring (remote implanted loop recorder). Complete follow-up was obtained from all patients.
Statistical analysis
Data were analyzed using SPSS software (version 17.0, SPSS, Inc., Chicago, IL, USA) and MedCalc for Windows (version 14.8.1, MedCalc Software, Ostend, Belgium). Continuous values are presented as means ± standard deviation (SD). Categorical values are expressed as number (%). Normality was determined by the Shapiro-Wilk test. Differences between AF patients and control subjects were evaluated using an unpaired t-test for normally distributed variables, and the Mann-Whitney U test for skewed variables. Bland and Altman plot23, coefficient of variation, intraclass correlation coefficient (ICC) were used to assess intra- and inter-observer reproducibility for measuring native T1 time. Repeatability coefficients were calculated as 1.96 times the SD of the differences on the Bland-Altman plots. The differences of native T1 time between 3 slices (base, mid and apex) were assessed using one way analysis of variance with Tukey’s correction. Elevated myocardial T1 time was defined as >1082msec, which was 2SD of native T1 time in healthy control subjects. We calculated the cumulative incidence of AF recurrence after PVI using the Kaplan-Meier method and compare the two groups with a Log-rank test (elevated LV T1 time group (n=31) vs non-elevated LV T1 time group (n=19)). Multivariate Cox proportional hazards model was used to estimate the hazard ratio (HR) for recurrence of AF and reported with 95% confidence interval (CI). A P value <0.05 was considered statistically significant.
Results
Patients’ characteristics
Table 1 summarizes the clinical characteristics of the AF patients and control subjects. AF patients were heavier (p=0.009) and with greater CHA2DS2-VASc score (p=0.011). Incidence of hypertension (p=0.046) and dyslipidemia (p=0.028) were higher in AF patients. There was no difference in age, gender, systolic blood pressure, diastolic blood pressure, heart rate or the incidence of diabetes mellitus or current smoking. The duration of AF was defined as the time between initial AF confirmed by an electrocardiogram and MRI acquisition date.
Table 1.
AF patients, N=50 | Controls, N=11 | P-value | |
---|---|---|---|
Male | 37 (74%) | 10 (77%) | 0.83 |
Age, years | 60 ± 8 | 57 ± 8 | 0.080 |
BMI, kg/m2 | 27.9 ± 4.0 | 24.4 ± 3.0 | 0.009 |
SBP, mmHg | 120 ± 15 | 108 ± 33 | 0.057 |
DBP, mmHg | 75 ± 13 | 75 ± 14 | 0.84 |
HR, beats per minutes | 63 ± 10 | 63 ± 9 | 0.70 |
CAD risk factors | |||
Hypertension | 14 (28%) | 0 (0%) | 0.046 |
Dyslipidemia | 16 (32%) | 0 (0%) | 0.028 |
Diabetes mellitus | 3 (6%) | 0 (0%) | 0.40 |
Current smoker | 1 (2%) | 0 (0%) | 0.64 |
Family history of CAD | 9 (18%) | 1 (8%) | 0.47 |
Medication | |||
Calcium channel blocker | 9 (18%) | 0 (0%) | 0.13 |
ACE/ARB | 9 (18%) | 0 (0%) | 0.13 |
Beta blocker | 23 (46%) | 0 (0%) | 0.004 |
Anti-arrhythmic agent | 23 (46%) | 0 (0%) | 0.004 |
Anticoagulant | 41 (82%) | 0 (0%) | < 0.001 |
Statin | 18 (36%) | 0 (0%) | 0.017 |
CHA2DS2-VASc score | 1.0 ± 1.1 | 0.1 ± 0.3 | 0.011 |
Duration of AF, years | 3.9 ± 4.9 | - | - |
ACE; angiotensin converting enzyme inhibitors, AF; atrial fibrillation, ARB; angiotensin receptor blockers, BMI; body mass index, CAD; coronary artery disease, DBP; diastolic blood pressure, HR; heart rate, SBP; systolic blood pressure
Cardiac MRI findings
Table 2 summarizes cardiac MRI anatomic measures for the two groups. There were no significant difference in LV ejection fraction, end-diastolic volume, end-systolic volume or mass. Left atrial dimension was significantly higher in AF patients (p=0.018). No LV LGE was observed in any subjects.
Table 2.
AF patients, N=50 | Controls, N=11 | P-value | |
---|---|---|---|
Cine MRI parameters | |||
LVEDV, mL | 158 ± 40 | 152 ± 39 | 0.64 |
LVEDVI, mL/m2 | 77 ± 16 | 79 ± 14 | 0.79 |
LVESV, mL | 63 ± 22 | 62 ± 19 | 0.75 |
LVESVI, mL/m2 | 30 ± 9 | 32 ± 8 | 0.80 |
LVSV, mL | 96 ± 24 | 90 ± 24 | 0.64 |
LVSVI, mL/m2 | 47 ± 10 | 47 ± 8 | 0.83 |
LVEF, % | 61 ± 6 | 60 ± 6 | 0.75 |
LV mass, g | 97 ± 31 | 107 ± 41 | 0.36 |
LV mass index, g/m2 | 47 ± 12 | 56 ± 16 | 0.59 |
LA dimension, mm | 42 ± 11 | 34 ± 9 | 0.018 |
LGE findings | |||
Presence of LV LGE | 0 | 0 | - |
AF, atrial fibrillation; EDV, end-diastolic volume; EDVI, end-diastolic volume index; EF, ejection fraction; ESV, end-systolic volume; ESVI, end-systolic volume index; HR, heart rate; LA, left atrial; LGE, late gadolinium enhancement; LV, left ventricle; MRI, magnetic resonance imaging; RV, right ventricle; SV, stroke volume; SVI, stroke volume index
Native T1 time in AF patient and controls
Example native T1 mapping images are shown in Figure 1. Figure 2 demonstrated comparison of individual native T1 time between AF patients and controls. Myocardial native T1 time was significantly elevated in patients with AF (1099±52 msec vs 1042±20 msec, p=0.003). Significant difference of LV native T1 time was found between healthy control and AF patients with recurrence (1042±20 msec vs 1126±53 msec, p<0.001), between AF patients with recurrence and AF patients without recurrence (1126±53 msec vs 1084±45 msec, p=0.023). However, no difference was found between healthy controls and AF without recurrence (1042±20 msec vs 1084±45 msec, p=0.055). Table 3 summarizes myocardial native T1 time for each slice. Native T1 time was elevated in all 3 slices in AF patients compared to normal subjects.
Table 3.
Base | Mid | Apex | +P value between slices | |
---|---|---|---|---|
AF patients, n=50 | 1093 ± 72 | 1100 ± 65 | 1109 ± 66 | 0.51 |
Control subjects, n=11 | 1035 ± 25 | 1037 ± 32 | 1060 ± 25 | 0.075 |
*P value (AF vs controls) | 0.010 | 0.003 | 0.018 |
Values are presented as mean ± SD.
P-values represent significance of difference between 3 slices (base, mid and apex) both in AF patients and controls (one way analysis of variance with Tukey’s correction).
P-values represent significance of difference between AF patients and controls in base, mid and apex.
AF, atrial fibrillation
Clinical follow-up
During a median follow-up duration of 326 days (range: 4–691 days), 18 of 50 (36%) AF patients experienced recurrence of AF after PVI (16 recurrences for patients with elevated LV T1 (>1082msec), 2 recurrences for patients with non-elevated LV T1 (≤1082msec)). Figure 3 illustrated Kaplan Meier event free survival curve for AF recurrence after PVI. Significant difference was observed between AF patients with elevated LV native T1 time and AF patients with non-elevated LV native T1 time both in late AF recurrence (p=0.030 by Log-rank test) and in early and late AF recurrence (p=0.006 by Log-rank test). Table 4 shows the results of multivariate Cox proportional hazard analysis for AF recurrence after PVI. Multivariate analysis demonstrated that native LV T1 time >1082msec is an independent and significant predictor of AF recurrence (hazard ratio: 6.53, 95%CI: 1.25–34.3, p=0.009)
Table 4.
HR | 95% CI | P value | |
---|---|---|---|
Age, per years | 0.97 | 0.85 – 1.10 | 0.65 |
Gender, male | 1.97 | 0.29 – 13.7 | 0.49 |
Hypertension, yes | 0.23 | 0.033 – 1.64 | 0.14 |
Dyslipidemia, yes | 1.67 | 0.29 – 9.57 | 0.57 |
Obesity (BMI>25 kg/m2) | 0.79 | 0.16 – 3.81 | 0.76 |
Family history of CAD, yes | 0.43 | 0.062 – 2.95 | 0.39 |
LVEDVI, per mL/m2 | 1.12 | 0.77 – 1.64 | 0.56 |
LVESVI, per mL/m2 | 0.89 | 0.52 – 1.51 | 0.66 |
LVSVI, per ml/m2 | 0.89 | 0.60 – 1.30 | 0.54 |
LVEF, per % | 1.06 | 0.75 – 1.49 | 0.76 |
LV mass index, per g/m2 | 1.02 | 0.96 – 1.09 | 0.48 |
LA dimension, per mm | 1.01 | 0.95 – 1.07 | 0.83 |
CHA2DS2-VASc score, per 1 score | 1.67 | 0.87 – 3.19 | 0.12 |
AF duration, per year | 1.04 | 0.91 – 1.18 | 0.58 |
Native T1 time, >1082msec | 6.53 | 1.25 – 34.3 | 0.026 |
AF, atrial fibrillation; BMI, body mass index; CAD, coronary artery disease; CI, confidence interval; EDVI, end-diastolic volume index; EF, ejection fraction; ESVI, end-systolic volume index; HR, hazard ratio; LA, left atrial; LV, left ventricle; OR, odds ratio
Reproducibility for measurement of native T1 time
The results of reproducibility for native T1 time measurements were summarized in Table 5. Both in AF patients and control subjects, high reproducibility of native T1 time measurements were observed for intra-observer reproducibility and inter-observer reproducibility.
Table 5.
10 healthy controls | 10 AF subjects | |||
---|---|---|---|---|
Intra-observer reproducibility | Inter-observer reproducibility | Intra-observer reproducibility | Inter-observer reproducibility | |
Repeatability coefficient | 25msec | 27msec | 40msec | 46msec |
Intra class correlation coefficient | 0.96 (95%CI: 0.85–0.99, p<0.05) | 0.95 (95%CI: 0.80–0.99, p<0.05) | 0.92 (95%CI: 0.87–0.95, p<0.05) | 0.91 (95%CI: 0.86–0.94, p<0.05) |
Coefficient of Variation | 0.8% | 1.1% | 1.4% | 1.6% |
AF, atrial fibrillation; CI, confidence interval
Repeatability coefficients were calculated as 1.96 times the standard deviation of the differences on the Bland-Altman plots.
Discussion
In this prospective study of consecutive AF patients referred for MRI prior to PVI, we identified elevated native T1 time in AF patients as compared with control subjects. To the best of our knowledge, this is the first investigation to examine native T1 time in AF patients by using the MOLLI sequence. Furthermore, we found the significant difference of AF recurrence after PVI between patients with elevated LV T1 time and patients with non-elevated LV T1 time, suggesting that native LV T1 time might be useful for the risk stratification for AF recurrence after PVI in paroxysmal AF patients.
Diffuse left ventricular myocardial abnormality in AF patients detected by post-contrast and native T1 mapping
Several studies have demonstrated the clinical utility of post-contrast T1 mapping for the detection of diffuse myocardial abnormality in AF patients. Ling et al. showed that post-contrast T1 mapping can identify diffuse LV fibrosis in AF patients24. This report provided new insight into association between AF and adverse LV remodeling. Neilan et al. revealed that extra cellular volume quantification of LV myocardium is an independent predictor of AF recurrence in hypertensive AF patients who underwent PVI20. McLellan et al. demonstrated a shorter post-contrast T1 time of LV myocardium in patients with recurrent AF as compared to those without AF recurrence; post-contrast T1 time is an independent predictor of AF recurrence25. These reports showed the pathophysiological link between LV myocardial fibrosis detected by post contrast T1 mapping and atrial fibrillation. In the current study, we measured the LV native (non-contrast) myocardial T1 time in AF patients undergoing PVI and found a significant difference between AF patients and control subjects. Although the difference of native T1 time between AF patients and healthy controls was statistically significant, comparison of individual native T1 time showed substantial overlap between AF patients and healthy controls (13 of 50 (26%) AF patients were less than native T1 time of 1062msec, which is maximum native T1 time of healthy subjects), suggesting that native T1 time might not be able to differentiate AF patients from healthy controls in about one fourth of the AF population. However, overlap of native T1 time was small between healthy control and AF patients with recurrence (only 2 of 18 patients, Figure 2). Important finding of this study was that the elevated native T1 time was an independent and significant predictor of AF recurrence after PVI. These results indicated that LV native T1 time might be useful as a possible surrogate marker to detect high-risk AF patients who are going to develop AF recurrence after PVI in near future, rather than an isolated marker to differentiate abnormal LV myocardium of AF patient and healthy LV myocardium of normal subjects.
Possible mechanism of elevated native T1 time in AF patients
AF is known to be associated with various pathophysiologic disorders of cardiovascular system, including endothelial dysfunction26–30, inflammation and oxidative stress31–33, and atherosclerosis34–36. Freestone et al. demonstrated that endothelial dysfunction evaluated by flow-mediated dilatation is present in AF patients26. Lim et al. showed that catheter ablation and successful maintenance of sinus rhythm leads to a decrease in platelet activation and an improvement in endothelial function30. In addition, Li et al. revealed that inflammatory biomarkers such as Interleukin (IL)-6, IL-8, IL-10, tumor necrosis factors-alpha, monocyte chemoattractant protein 1, vascular endothelial growth factor, and N-terminal pro-brain natriuretic peptide were elevated in AF patients31. Another possible mechanism for elevated T1 time is myocardial edema. Previous studies showed that T1 time is substantially increased in acute myocardial edema in animal37 and human studies38. Ferreira et al. showed that native T1 mapping has a higher sensitivity compared with T2 weighted image and LGE image for detecting acute myocarditis38–40. Elevated native T1 time might be explained by myocardial edema, which could be related to high inflammatory activity in AF patients41. Although the evidence which clearly explains a mechanism of diffuse LV myocardial abnormality in AF patients is lacking, these cardiovascular pathophysiologic abnormalities may be associated with elevation of native T1 time observed in the current study.
Clinical Implication
Our AF population did not have LV systolic dysfunction on cine MRI and myocardial enhancement on LGE MRI in any study subjects. However, native T1 time was significantly elevated in AF patients and elevated native T1 time could predict future AF recurrence after PVI. This result was similar to the results of previous studies using post contrast T1 mapping images. However, the strong point of this study was that non-contrast (native) T1 mapping could assess myocardial T1 time even for AF patients with renal dysfunction at a high risk of nephrogenic systemic fibrosis42. Recent studies demonstrated the clinical utility of cardiac MRI and CT for AF ablation. Ang R. et al showed that pulmonary vein measurements on pre-procedural CT/MR imaging can predict difficult PVI and phrenic nerve injury during cryoballoon ablation43. Kim et al. reported that pericardial fat volume is associated with clinical recurrence after catheter ablation for persistent atrial fibrillation, but not paroxysmal atrial fibrillation44. Another study by Costa FM et al. revealed that left atrial volume is more important than the type of atrial fibrillation in predicting the long-term success of catheter ablation45. In the current study, the follow up duration for AF recurrence was relatively short, therefore, further study is necessary to investigate whether LV native T1 time is useful to predict AF occurrence in long term follow up period after PVI.
Study limitation
Our study has several limitations. First, this is single center study of a relatively small population of AF patients all referred for PVI. Second, we did not performed endomyocardial biopsy to confirm the presence of myocardial fibrosis. Third, although LGE MRI showed no myocardial infarction, we did not perform X-ray coronary angiography or computed tomography angiography to exclude coronary artery disease, which is common in this population. Forth, not all the AF patients and healthy control had implantable loop recorders. Therefore, asymptomatic AF recurrence might be missed.
Conclusion
Native LV myocardial T1 time is increased in AF patients with preserved LV function referred for PVI. Native T1 time is an independent predictor of recurrence of AF after PVI in patients with paroxysmal AF. These result suggested that LV native T1 time might be useful for the risk stratification to detect high risk AF patients for AF recurrence after PVI.
Footnotes
Disclosure information
Shingo Kato, MD receives scholarship from Banyu Life Science Foundation International Reza Nezafat, PhD receives grant support from NIH R01EB008743, 1R21HL127650, 1R01HL129185, AHA 15EIA22710040 and Samsung Electronics.
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