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Scientific Reports logoLink to Scientific Reports
. 2022 May 9;12:7539. doi: 10.1038/s41598-022-11233-5

Left atrium phasic impairments in paroxysmal atrial fibrillation patients assessed by cardiovascular magnetic resonance feature tracking

Mary Luz Mojica-Pisciotti 1,, Roman Panovský 2,3, Lucia Masárová 2,3, Martin Pešl 2,4, Zdeněk Stárek 2,3, Tomáš Holeček 5,6, Věra Feitová 5, Lukáš Opatřil 2,3, Katarína Doležalová 2, Vladimír Kincl 2,3
PMCID: PMC9085809  PMID: 35534637

Abstract

Atrial fibrillation (AF) is an abnormal and irregular heartbeat caused by uncoordinated electrical impulses in the left atrium (LA), which could induce lasting changes in the heart tissue or could be a consequence of underlying cardiac disease. This study aimed to assess the left atrial phasic function and deformation in paroxysmal AF (PAF) patients—who had not received radiofrequency ablation and had no signs of permanent AF—using the cardiovascular magnetic resonance (CMR) feature-tracking (FT) technique. Fifty subjects (27 PAF patients and 23 controls) were included and examined with CMR. Their LA volume, LA function, LA longitudinal strain (LS) and LA strain rate were assessed in the LA reservoir, conduit, and contractile phases. PAF patients exhibited higher LA volumes than controls, while their LA emptying fraction and LA LS was significantly lower in all three phases. In contrast, the corresponding emptying volumes (total, passive and active) were similar in both groups. The LA volumetric rates from CMR-derived volume curves differed significantly in PAF patients vs controls in the reservoir and contractile phases. In contrast, the equivalent LV volumetric rates were similar. This study suggests that assessing the LA phasic function could offer insight into early LA impairments for PAF patients.

Subject terms: Cardiology, Atrial fibrillation

Introduction

Atrial fibrillation (AF) is the most common cardiac arrhythmia, an abnormal and irregular heartbeat caused by uncoordinated electrical impulses in the atria1, which could induce lasting changes in the heart tissue or could be a consequence of underlying cardiac disease2. AF may lead to severe complications in heart conditions1. This progressive disease worsens with age, manifests a broad range of symptoms, and exhibits a steady increase in its prevalence2,3. Paroxysmal AF (PAF), defined as recurrent AF episodes that terminate spontaneously (lasting between 30 s and less than seven days), precedes persistent and permanent AF if left untreated2.

The left atrium (LA) function is valuable for understanding the underlying mechanisms associated with AF2,4,5. The LA affects left ventricular (LV) filling and ensures optimal cardiac output6. Its function divides into three phases: reservoir, when the LA stores pulmonary venous return during LV contraction and isovolumetric relaxation (LV systole); conduit, when the blood is transferred passively into expanding LV (early LV diastole); and contractile, where the LA actively contracts during the final part of LV diastole (just before mitral valve closure)7. The LA phase function mainly includes volumetric and volume-derived indexes and deformation imaging parameters. In general, the LA phase function assessment can offer insight into early impairments due to specific pathologies710, including cardiomyopathy induced by arrhythmias11. Some imaging modalities typically used for this purpose are echocardiography-based4,12, Doppler-based4,13, computed tomography14 and cardiovascular magnetic resonance (CMR)5,7,10,15,16.

CMR feature tracking (CMR-FT) is an emerging tool that allows a quantitative analysis of regional heart deformation17,18. It has a high spatial resolution—for standard steady-state free precession techniques, 1–2 mm in-plane/6–10 mm through-plane19—for assessing the LA deformation by tracking the LA wall5,79,16,17,1922. A few studies have applied this technique to assess LA function in PAF subjects without any early signs of persistent AF10,22,23.

This study aims to compare the LA phase function and deformation in PAF patients—without radiofrequency ablation and no signs of permanent AF—and controls with CMR-FT.

Methods

Study population

The Ethics Committee of St Anne's University Hospital Brno approved this prospective study following the Declaration of Helsinki (2000) of the World Medical Association. All the participants were over 18 years, signed informed consent, and had no contraindication for CMR or contrast agents. Fifty subjects (27 PAF patients and 23 controls) were enrolled. The patients were scanned before pulmonary vein ablation and had documented PAF (confirmed by 24-h ECG Holter, with at least one symptomatic episode, EHRA classification II) at the time of the examination. The controls were healthy patients without signs of AF, who had a CMR indication per exclusion of suspected cardiac pathology. Their main indications for CMR examinations were atypical thoracic pain and suspected hypertrophy in those with insufficient echocardiography images. However, they finally had no morphological atrial abnormalities, verified cardiac disease, or CMR findings.

CMR data acquisition

CMR studies were performed on a 1.5 T scanner (Ingenia, Philips Medical Systems) equipped with 5- and 32-element phased-array receiver coils, allowing parallel acquisition techniques in a supine position with repeated breath-hold. The standard protocol for all the participants included the acquisition of functional imaging with balanced turbo field echo steady-state free precession (SSFP) cine sequences (typical parameters: FOV 300 × 300 mm, acquisition voxel size 1.67 × 1.67 × 8.00 mm, reconstruction matrix 256, slice thickness 8 mm, SENSE factor 1.7, 30 to 50 frames per cardiac cycle). Late gadolinium enhancement (LGE) images were acquired approximately 10 min after a contrast bolus injection [0.2 mmol/kg, gadobutrol (Gadovist, Bayer)]. All participants were in sinus rhythm at the CMR examination to avoid triggering issues. Following the established clinical analysis, an expert radiologist assessed the LV function with the IntelliSpace Portal (ISP) workspace (version 11, Philips Healthcare).

LA function

LA volumes (LAV) were measured at LV end-systole (maximum LAV, i.e., LAVmax), before the atrial contraction (pre-atrial contraction volume, i.e., LAVpac), and at late LV diastole (minimum LAV, i.e., LAVmin); and indexed to the body surface area (BSA). We assessed the LA function according to4,13:

Reservoir

LAtotalemptyingvolumeml=LAVmax-LAVmin,
LAtotalemptyingfraction%=100×LAVmax-LAVmin/LAVmax,
LAexpansionindex%=100×LAVmax-LAVmin/LAVmin.

Conduit

LApassiveemptyingvolumeml=LAVmax-LAVpac,
LApassiveemptyingfraction%=100×LAVmax-LAVpac/LAVmax,
LAconduitvolumeml=LVstrokevolume-Vmax-Vmin.

Contractile

LAactiveemptyingvolumeml=LAVpac-LAVmin,
LAactiveemptyingfraction%=100×LAVpac-LAVmin/LAVpac.

CMR-based strain

Two experienced readers assessed the LA longitudinal strain (LS), i.e., a parameter that reflects the deformation of the LA, using long-axis (two-chamber, four-chamber) cine images. They analyzed the images in Image Arena software (2D CPA MR, TomTec Imaging Systems GmbH, v4.6.4.40). Each reader manually traced the LA wall contour in the end-diastole (ED) and end-systole (ES) frames, excluding the pulmonary veins and atrial appendage. The software automatically propagated these contours throughout the cycle and applied the tracking algorithm. The trace accuracy was visually validated and, if necessary, corrected (up to three adjustments per case). In the event of significant suboptimal tracking, the readers repeated the analysis to minimize variability. Each calculation was done three times per view and averaged for improving reproducibility.

The LA LS was calculated by manually adjusting the specific phases for each view as recommended24. LS and strain rate (SR), i.e., the rate at which the LA deforms, are reported for all LA phases: (1) reservoir (LSr, SRr), (2) conduit (LScd, SRcd), and (3) contractile (LSct = LSr − LScd, SRct). From the LA SR curve, the positive peak corresponded to SRr, the early negative to SRcd, and the late negative to SRct (see Fig. 1).

Figure 1.

Figure 1

Representation of left atrial function parameters. (a) Illustrative representation of the left atrium (LA) strain (LS), strain rate (SR) and volume (V) with corresponding values according to the LA phase, measured with CMR-FT in a control subject. Example of one LA strain analysis performed in (b) four-chamber and (c) two-chamber views. Upper panel: Left ventricle (LV) end-diastole frame, lower panel: LV end-systole frame. cd conduit phase, ct contractile phase, CMR cardiovascular magnetic resonance, FT feature tracking, LA left atrium, LS longitudinal strain, LV left ventricle, pac pre-atrial contraction, SR strain rate, r reservoir phase.

Similarly, for LV strain assessment [global longitudinal strain (GLS), global circumferential strain (GCS) and global radial strain (GRS)], the same readers used long-axis (two-chamber, three-chamber, four-chamber) and short-axis (basal, mid-ventricular, apical) cine images. They followed a similar process as previously reported25.

LA volumetric rates

After performing the CMR-based strain analysis of long-axis cine images, global volume vs time curves for the LA and LV were automatically obtained. From them, slopes in the reservoir (LVemp and LAfill) and contractile (LVfill and LAemp) phases were calculated with a custom-designed tool in Python 3.8.8 (see Fig. 2). The slope values represent the rate of change in the respective volumes, i.e., how fast the volume (ml) changes in a time interval (s).

Figure 2.

Figure 2

Volume curves derived from CMR-FT. Schematics of the volume vs time curve slope calculation for the left atrium (LA) (upper panel, LAV) and left ventricle (LV) (lower panel, LVV) indicated phases. The curves shown are the average of the controls' (solid) and the PAF patients (dash-dotted) measurements. CMR cardiovascular magnetic resonance, FT feature tracking, LA left atrium, LAemp LA volume emptying, LAfill LA volume filling, LAV LA volume, LV left ventricle, LVemp LV volume emptying, LVfill LV volume filling, LVV LV volume.

Statistical analysis

Descriptive statistics are reported as the mean (SD) or median (IQR) for normally and non-normally distributed continuous variables, respectively, and as numbers (percentages) for categorical ones. The normality of the data was checked by the Shapiro–Wilk test and visual inspection of the histograms. Proportions of categorical variables were analyzed using the Chi-square test of independence. The student's t-test and Wilcoxon rank-sum test were used to compare normally and non-normally distributed variables, respectively. A P-value < 0.05 was considered statistically significant. Correlations were calculated using Pearson. The intraobserver and interobserver agreement was assessed with the intraclass correlation coefficient (ICC). The ICC (type C, two-way mixed-effects model) was determined from ten randomly selected cases analyzed by two readers (MLMP, TH), one of whom repeated them one month apart. The repeatability was classified as poor (< 0.5), fair (0.50–0.75), good (0.75–0.90) and excellent (0.90–1)26. All statistical analyses were performed with R-4.0.3 and RStudio IDE (v1.3.1093, RStudio, PBC).

Results

Group characteristics

Fifty CMR examinations from 27 PAF patients and 23 controls, who met the inclusion criteria, were successfully analyzed. The general characteristics, including the LV function and strain, were similar in both groups (see Table 1). All PAF patients were receiving anticoagulation according to the individual CHADS2-VASc score (mean score for males and females was 1.3 ± 1.3 and 2.4 ± 1.0, P = 0.028). The average duration of the history of PAF was 17.0 ± 14.1 months. Twenty-six PAF subjects had antiarrhythmic therapy, alone [beta-blocker alone (n = 6), propafenone alone (n = 1), amiodarone alone (n = 3)] or in combination [beta-blocker with amiodarone (n = 5) or with propafenone (n = 11)], and one patient had not because of bradycardia adverse effects. Sixteen PAF patients had hypertension, and two (non-hypertense) had positive LGE in the LV (intramural inferolateral basal and basal-mid segments, non-ischemic in both cases). There were no significant differences between the LV function or the LV global strain between both groups.

Table 1.

General characteristics and comparison of left ventricular function and global strain between PAF patients and controls.

Controls (N = 23) PAF patients (N = 27) P-value
Gender (males, %) 7 (30%) 16 (59%) 0.080
Age (years) 59.8 (7.7) 63.0 (6.1) 0.112
BMI (kg/m2) 26.1 (3.5) 27.1 (3.3) 0.305
BSA (m2) 1.9 (0.2) 2.0 (0.2) 0.090
HR (bpm) 63.1 (9.5) 60.9 (9.1) 0.410
Hypertension (n, %) 8 (35%) 16 (59%) 0.084
Systolic BP (mmHg) 136.8 (19.8) 140.2 (17.6) 0.597
Diastolic BP (mmHg) 84.0 (10.9) 82.0 (9.5) 0.577
Mean BP (mmHg) 110.4 (12.8) 111.1 (11.0) 0.862
Diabetes mellitus, (n, %) 1 (4.3%) 1 (3.7%) > 0.999
Hypertension (n, %) 9 (39%) 16 (59%) 0.156
Current smoker (n, %) 2 (15%) 5 (19%) > 0.999
LV EF (%) 70.6 (6.4) 70.1 (8.2) 0.810
LV EDVI (ml/m2) 54.6 (7.4) 58.6 (10.9) 0.137
LV ESVI (ml/m2) 16.1 (4.8) 17.9 (7.0) 0.294
LV SVI (ml/m2) 38.5 (5.4) 40.7 (6.6) 0.212
LVMI (g/m2) 41.2 (11.0) 47.3 (12.2) 0.069
GLS (%) − 20.3 (3.0) − 20.7 (3.7) 0.680
GCS (%) − 24.5 (4.3) − 25.2 (5.0) 0.600
GRS (%) 64.7 (14.7) 60.9 (13.3) 0.340

Variables are expressed as numbers (percentages), mean (standard deviation) or median (interquartile range) for categorical, normally distributed, and non-normally distributed continuous variables, respectively. BMI body mass index, BP blood pressure, BSA body surface area, HR heart rate, LV left ventricle, EF ejection fraction, EDV, end-diastole volume, ESV end-systole volume, GLS global longitudinal strain, GCS global circumferential strain, GRS global radial strain, I indexed, LVM left ventricular mass, n number of subjects, PAF paroxysmal atrial fibrillation, SV stroke volume.

LA function

The total, passive and active emptying volumes were similar for both groups, but the corresponding emptying fractions were impaired in PAF patients (see Table 2). Additionally, PAF subjects showed significantly higher LA volumes in all LA phases. The LA expansion index (reservoir) was also significantly lower for PAF.

Table 2.

Comparison of left atrial function between PAF patients and controls.

Controls (N = 23) PAF patients (N = 27) P-value
LAVImax (ml/m2) 34.4 (10.2) 45.2 (12.5) 0.001
LAVIpac (ml/m2) 23.1 (8.4) 33.1 (10.4) < 0.001
LAVImin (ml/m2) 13.3 (8.6–16.4) 20.0 (16.7–24.3) < 0.001
Reservoir phase
LA total emptying volume (ml/m2) 20.8 (5.4) 23.4 (5.4) 0.093
LA total emptying fraction (%) 62.4 (9.0) 53.4 (9.0) < 0.001
LA expansion index (%) 168.7 (142.7–208.4) 119.9 (85.3–151.2) 0.001
Conduit phase
LA passive emptying volume (ml/m2) 6.2 (2.2) 6.2 (2.0) 0.967
LA passive emptying fraction (%) 34.2 (7.7) 27.2 (7.0) 0.002
LA conduit volume (ml/m2) 17.7 (6.0) 17.3 (4.2) 0.755
Contractile phase
LA active emptying volume (ml/m2) 5.2 (2.4) 5.6 (1.5) 0.433
LA active emptying fraction (%) 42.8 (10.0) 36.0 (8.7) 0.014

Significant values are in bold.

Variables are expressed as mean (standard deviation) or median (interquartile range) for normally and non-normally distributed continuous variables. I indexed, LA left atrium, LAV LA volume, max maximum, pac pre-atrial contraction, PAF paroxysmal atrial fibrillation, min minimum.

The LA volumes correlated with the LA strain: r =  − 0.66, P < 0.001 (LAVImax and LSr), r =  − 0.49, P = 0.018 (LAVIpac and LScd), and r =  − 0.60, P = 0.002 (LAVImin and LSct); and with the LA strain rate: r =  − 0.49, P = 0.018 (LAVImax and SRr), r = 0.60, P = 0.002 (LAVIpac and SRcd), and r = 0.62, P = 0.002 (LAVImin and SRct). Figure 3 (upper panel) shows the measurement of LA indexed volumes of three subjects (one control, two PAF patients).

Figure 3.

Figure 3

Example of indexed left atrium volume (LAVI) and longitudinal strain (LS) measurements. Example of the LAVI (upper panel) and LA LS (lower panel) measured with CMR-FT in a control subject and two random PAF patients. CMR cardiovascular magnetic resonance, FT feature tracking, LA left atrium, LS longitudinal strain.

LA volumetric rates

The LA volumetric rates (LAfill and LAemp) were significantly different for both groups in the reservoir and contractile phases (see Table 3). The slope values represent the rate of change of the respective volume change: PAF patients have a significatively higher LA filling volume rate (LAfill) and lower LA emptying volume rate (LAemp) than controls. A negative slope means the volume of blood decreases with time.

Table 3.

Comparison of LV and LA absolute value of slopes derived from the corresponding volume vs time curves during the LA reservoir and contractile phases for PAF patients and controls.

Controls (N = 23) PAF patients (N = 27) P-value
LA reservoir phase
LAfill (ml/s) (+) 101.4 (22.8) 129.1 (32.6) < 0.001
LVemp (ml/s) (−) 280.3 (62.1) 311.3 (79.2) 0.128
LA contractile phase
LAemp (ml/s) (−) 116.2 (40.4) 154.1 (54.0) 0.007
LVfill (ml/s) (+) 190.0 (62.8) 199.4 (75.6) 0.631

Significant values are in bold.

The sign indicates the blood volume increases (filling) or decreases (emptying) with time. Variables are expressed as mean (standard deviation). LA left atrium, LAemp LA volume emptying, LAfill LA volume filling, LV left ventricle, LVemp LV volume emptying, LVfill LV volume filling, PAF paroxysmal atrial fibrillation.

There were significant negative correlations for the volumetric rates during the reservoir and contractile phases for PAF patients (reservoir (LVemp and LAfill) r =  − 0.54, P = 0.003 and contractile (LVfill and LAemp) r =  − 0.64, P < 0.001) (see Table 3). The equivalent correlations for controls were non-statistically significant.

LA strain and strain rate

LS was significantly lower for PAF patients than controls in all LA phases (see Table 4). The SR reached statistical significance in the conduit and contractile phases. Figure 3 (bottom panel) shows the LS measurement of three subjects (one control, two PAF patients).

Table 4.

Comparison of left atrial strain and strain rate values between PAF patients and controls.

Controls (N = 23) PAF patients (N = 27) P-value
LSr (%) 32.7 (28.1 to 39.1) 26.1 (21.5 to 30.5) 0.002
LScd (%) 17.6 (13.8 to 23.1) 13.0 (11.9 to 17.2) 0.040
LSct (%) 14.9 (12.1 to 19.7) 10.5 (8.8 to 13.3) 0.003
SRr (s−1) 1.5 (1.3 to 1.9) 1.4 (1.2 to 1.5) 0.070
SRcd (s−1) − 1.4 (− 1.8 to − 1.0) − 1.1 (− 1.3 to − 0.9) 0.019
SRct (s−1) − 1.6 (− 2.3 to − 1.1) − 1.0 (− 1.4 to − 0.9) 0.003

Significant values are in bold.

Variables are expressed as median (interquartile range). cd conduit, ct contractile, LS longitudinal strain, PAF paroxysmal atrial fibrillation, r reservoir, SR strain rate.

Reproducibility

LAV and LS measurements had an excellent intra- and interobserver agreement (ICC > 0.98, see Table 5). The coefficients were good/fair for SR, and the less reproducible parameter was the SRcd.

Table 5.

Intraobserver and interobserver reproducibility (ICC, two-way mixed-effects model) of LA volumes, strain and strain rate determined from two measurements of ten random subjects.

Intraobserver Interobserver
ICC 95% CI ICC 95% CI
LAVmax 0.996 0.985–0.999 0.932 0.766–0.982
LAVpac 0.989 0.960–0.997 0.919 0.724–0.979
LAVmin 0.989 0.961–0.997 0.932 0.766–0.982
LSr 0.991 0.965–0.998 0.996 0.983–0.999
LScd 0.981 0.929–0.995 0.997 0.988–0.999
LSct 0.988 0.956–0.997 0.975 0.908–0.994
SRr 0.915 0.714–0.978 0.843 0.514–0.958
SRcd 0.853 0.539–0.961 0.616 0.054–0.887
SRct 0.943 0.799–0.985 0.885 0.626–0.970

cd conduit, ct contractile, CI confidence interval, ICC intraclass correlation coefficient, LS longitudinal strain, SR strain rate, r reservoir.

Discussion

This study compared the LA function in the reservoir, conduit and contractile phases in PAF patients and controls, assessed by the corresponding emptying volume and fraction, longitudinal strain and strain rate. The PAF patients exhibited impairment in their LA emptying fraction and longitudinal strain in all LA phases. Expectedly, our results indicate that PAF patients have larger LA volumes than controls in all phases, as stated elsewhere9,23,27. Several cardiac diseases can manifest through LA size changes: LA enlargement can predict worsening clinical outcomes8,10,13,20,2730, and it is a risk factor for PAF9,27.

The LA volumetric rates (LAfill and LAemp) suggest a possible compensation mechanism that allows the LA to deform faster or slower enough to receive or release blood volume during the LA phases. In our case, the LA filling (reservoir phase) was faster in PAF patients, indicating that their LA receives more blood in a fixed time interval. Considering the LS is impaired during that phase, the results suggest that the LA cavity could experience pressure or volume overload, allowing the LA enlargement. At the same time, the LA emptying (contractile phase) was slower in PAF patients, which means they release less blood than controls in a given time: the consequence is that the PAF patient's LA holds a higher blood volume during the whole cardiac cycle. However, other explanatory factors should be independently assessed31. Similar approaches to studying CMR-based volume rates for diastolic dysfunction have been published and validated32,33, advocating for the method as a potential imaging-based marker. The presented LA volumetric approach has not been studied in a PAF cohort, as far as we know.

Of distinct interest for us was studying the LA deformation through the LS, which besides directly measuring the deformation, reflects the electromechanical integrity of the tissue34. Our results agree with other CMR-FT based studies, which indicate the LS might decline before other LA functional parameters5 and affects all the LA phases5,23,35. Although we lack consensus about the influence of each phase in disease development, the weakening affects them in an early stage of AF (when no persistent AF has developed).

We also found a decline in PAF patients' LA conduit and contractile functions (lower passive and active emptying fraction, LS and SR). The LA conduit function could provide insight into the LV relaxation36, and the LA contractile function mirrors the LV loading conditions as it directly relates to the LV end-diastole15. In addition to the LScd and LSct impairment, SRcd and SRct were higher for PAF patients, reinforcing the idea of a possible LA contractile dysfunction. However, SR results must be interpreted carefully as the CMR temporal resolution is limited.

LA function impairments in patients with PAF have also been reported in other works based on CMR-FT5,10,23. However, the cohorts included patients who had not yet developed AF5 or patients with hypertrophic cardiomyopathy23 or persistent AF10. Our work complements these, especially considering that the included PAF patients had no other significant pathologies affecting their heart, did not receive radiofrequency ablation before the CMR exam, and had no persistent or permanent AF signs.

Other authors assessed LA deformation in PAF using echocardiography-derived techniques4,9,15,31,34,35,37,38, reporting a reduced LA contractile function15,31, extending to LS and SR35. LS seems to be lower in patients with PAF and primary arterial hypertension38; the frequency and number of PAF episodes might enhance LA reservoir function in these patients9, and the LA wall degenerates more in PAF subjects15. In many reports, the authors highlight the importance of assessing LA function rather than sole LA size to study and predict possible PAF development4,9,15,35,37,38.

CMR-FT and echocardiography-derived techniques show notable differences between the strain and strain rate assessment39. However, the LS derived from both methods has good agreement40. While CMR-FT has a higher spatial resolution that allows a better LA contouring, echocardiography has a better temporal resolution and is a more non-invasive and simple method18. In contrast, unlike echocardiography methods, CMR-FT offers consistent and highly reproducible imaging planes. Both imaging modalities have advantages that might impact a future determination of a gold standard for deformation imaging in PAF.

Finally, the study mainly focused on studying LA phasic function and deformation for a group of PAF diagnosed patients—without radiofrequency ablation and no signs of permanent AF. Our results provide further evidence of the feasibility of using LS in clinical practice to understand PAF evolution, enriching the current perspective.

Limitations

Our study has some limitations. It was single-centre, and the sample size was relatively small, which impeded a proper predictive risk analysis. We did not stratify the risk of developing diastolic dysfunction. The controls were primarily women, which might impact the results as they have a lower myocardial mass. We presented a simple evaluation of LV and LA volumetric changes using CMR-derived volume vs time curves. However, we lack echocardiographic-based validation in our specific cohort. Although such an approach has been previously validated32,33,41, there is no gold standard for these measurements. Besides the complexity of the LA function assessment, the CMR-FT tracking process may be challenging. The LA wall is narrow, which increases the probability of sub-tracking during analysis; it also uses contours but no intra-tissue markers, which exhibits high variability. However, the use of CMR-FT for LS analysis is reasonable and has good reproducibility8,22. The SR assessments had lower reproducibility, which could improve by increasing the temporal resolution. Still, it would require longer breath-holds, which the patient cannot consistently maintain in most cases. Although we cannot provide specific ranges of values for pairing patients with PAF development, our results support the potential use of LS in PAF for future advances, such as studying changes in these patients after radiofrequency ablation.

Conclusion

In conclusion, our results support the potential inclusion of LA phase function assessed by CMR-FT to become a comprehensive marker for PAF patients. We found significant larger LA volumes and decreased LS in PAF patients in all LA phases.

Author contributions

The study design relied on R.P., L.M., M.P., Z.S. and V.K. M.P., L.M., Z.S., K.D. and R.P. oversaw the patient management, recruitment, and inclusion. Likewise, V.F., R.P., T.H. and M.L.M.P. conducted the MR examinations. V.F. carried out the clinical analyses. M.L.M.P. and T.H. performed the L.V. and L.A. strain and strain rate measurements. The data was collected and processed by M.L.M.P., who also aided the statistical analysis. M.L.M.P., R.P., L.M., M.P., Z.S., T.H. and L.O. substantially contributed to the content and interpreting the results. M.L.M.P. and R.P. were the major contributors in writing the manuscript. M.L.M.P., R.P., M.P., L.O., L.M. and T.H. thoroughly reviewed the manuscript. All authors read, reviewed, discussed, and accepted the final manuscript.

Funding

The European Regional Development Fund—Project ENOCH (No. CZ.02.1.01/0.0/0.0/16_019/0000868) supported this study. This publication was written at Masaryk University (project "New imaging, computational and analytical methods in diagnostics and monitoring of cardiovascular disorders" MUNI/A/1462/2021) with the support of the Specific University Research Grant, as provided by the MEYS CR in 2022.

Data availability

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Starek Z, Lehar F, Jez J, Wolf J, Novák M. Hybrid therapy in the management of atrial fibrillation. Curr. Cardiol. Rev. 2015;11:167–179. doi: 10.2174/1573403x10666140713172231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Iwasaki Y-K, Nishida K, Kato T, Nattel S. Atrial fibrillation pathophysiology. Circulation. 2011;124:2264–2274. doi: 10.1161/CIRCULATIONAHA.111.019893. [DOI] [PubMed] [Google Scholar]
  • 3.Kornej J, Börschel Christin S, Benjamin Emelia J, Schnabel Renate B. Epidemiology of atrial fibrillation in the 21st century. Circ. Res. 2020;127:4–20. doi: 10.1161/CIRCRESAHA.120.316340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Blume GG, et al. Left atrial function: Physiology, assessment, and clinical implications. Eur. J. Echocardiogr. 2011;12:421–430. doi: 10.1093/ejechocard/jeq175. [DOI] [PubMed] [Google Scholar]
  • 5.Bertelsen L, et al. Left atrial volume and function assessed by cardiac magnetic resonance imaging are markers of subclinical atrial fibrillation as detected by continuous monitoring. EP Europace. 2020;22:724–731. doi: 10.1093/europace/euaa035. [DOI] [PubMed] [Google Scholar]
  • 6.Pagel PS, et al. Mechanical function of the left atrium: New insights based on analysis of pressure-volume relations and doppler echocardiography. Anesthesiology. 2003;98:975–994. doi: 10.1097/00000542-200304000-00027. [DOI] [PubMed] [Google Scholar]
  • 7.Yang Y, et al. Quantification of left atrial function in patients with non-obstructive hypertrophic cardiomyopathy by cardiovascular magnetic resonance feature tracking imaging: A feasibility and reproducibility study. J. Cardiovasc. Magn. Reson. 2020;22:1. doi: 10.1186/s12968-019-0589-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Funk S, et al. Quantification of the left atrium applying cardiovascular magnetic resonance in clinical routine. Scand. Cardiovasc. J. 2018;52:85–92. doi: 10.1080/14017431.2017.1423107. [DOI] [PubMed] [Google Scholar]
  • 9.Cui Q, et al. Enhanced left atrial reservoir, increased conduit, and weakened booster pump function in hypertensive patients with paroxysmal atrial fibrillation. Hypertens. Res. 2008;31:395–400. doi: 10.1291/hypres.31.395. [DOI] [PubMed] [Google Scholar]
  • 10.Habibi M, et al. Association of left atrial function and left atrial enhancement in patients with atrial fibrillation: Cardiac magnetic resonance study. Circ. Cardiovasc. Imaging. 2015;8:e002769–e002769. doi: 10.1161/CIRCIMAGING.114.002769. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Huizar JF, Ellenbogen KA, Tan AY, Kaszala K. Arrhythmia-induced cardiomyopathy: JACC state-of-the-art review. J. Am. Coll. Cardiol. 2019;73:2328–2344. doi: 10.1016/j.jacc.2019.02.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Thomas L, et al. Evaluation of left atrial size and function: Relevance for clinical practice. J. Am. Soc. Echocardiogr. 2020;33:934–952. doi: 10.1016/j.echo.2020.03.021. [DOI] [PubMed] [Google Scholar]
  • 13.Hoit BD. Evaluation of left atrial function: Current status. Struct. Heart. 2017;1:109–120. doi: 10.1080/24748706.2017.1353718. [DOI] [Google Scholar]
  • 14.Hansen PB, Sommer A, Nørgaard BL, Kronborg MB, Nielsen JC. Left atrial size and function as assessed by computed tomography in cardiac resynchronization therapy: Association to echocardiographic and clinical outcome. Int. J. Cardiovasc. Imaging. 2017;33:917–925. doi: 10.1007/s10554-017-1070-x. [DOI] [PubMed] [Google Scholar]
  • 15.Hirose T, et al. Left atrial function assessed by speckle tracking echocardiography as a predictor of new-onset non-valvular atrial fibrillation: Results from a prospective study in 580 adults. Eur. Heart J. Cardiovasc. Imaging. 2012;13:243–250. doi: 10.1093/ejechocard/jer251. [DOI] [PubMed] [Google Scholar]
  • 16.Olsen FJ, et al. Multimodality cardiac imaging for the assessment of left atrial function and the association with atrial arrhythmias. Circ. Cardiovasc. Imaging. 2016;9:e004947. doi: 10.1161/CIRCIMAGING.116.004947. [DOI] [PubMed] [Google Scholar]
  • 17.Scatteia A, Baritussio A, Bucciarelli-Ducci C. Strain imaging using cardiac magnetic resonance. Heart Fail. Rev. 2017;22:465–476. doi: 10.1007/s10741-017-9621-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Schuster A, Hor KN, Kowallick JT, Beerbaum P, Kutty S. Cardiovascular magnetic resonance myocardial feature tracking. Circ. Cardiovasc. Imaging. 2016;9:e004077. doi: 10.1161/CIRCIMAGING.115.004077. [DOI] [PubMed] [Google Scholar]
  • 19.Pedrizzetti G, Claus P, Kilner PJ, Nagel E. Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use. J. Cardiovasc. Magn. Reson. 2016;18:51–51. doi: 10.1186/s12968-016-0269-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Hinojar R, et al. Prognostic value of left atrial function by cardiovascular magnetic resonance feature tracking in hypertrophic cardiomyopathy. Int. J. Cardiovasc. Imaging. 2019;35:1055–1065. doi: 10.1007/s10554-019-01534-8. [DOI] [PubMed] [Google Scholar]
  • 21.Ali RL, et al. Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: A longitudinal study using magnetic resonance imaging-based atrial models. Cardiovasc. Res. 2019;115:1757–1765. doi: 10.1093/cvr/cvz083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kowallick JT, et al. Quantification of left atrial strain and strain rate using Cardiovascular Magnetic Resonance myocardial feature tracking: A feasibility study. J. Cardiovasc. Magn. Reson. 2014;16:60. doi: 10.1186/s12968-014-0060-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Sivalokanathan S, et al. Hypertrophic cardiomyopathy patients with paroxysmal atrial fibrillation have a high burden of left atrial fibrosis by cardiac magnetic resonance imaging. JACC Clin. Electrophysiol. 2019;5:364–375. doi: 10.1016/j.jacep.2018.10.016. [DOI] [PubMed] [Google Scholar]
  • 24.Badano LP, et al. Standardization of left atrial, right ventricular, and right atrial deformation imaging using two-dimensional speckle tracking echocardiography: A consensus document of the EACVI/ASE/Industry Task Force to standardize deformation imaging. Eur. Heart J. Cardiovasc. Imaging. 2018;19:591–600. doi: 10.1093/ehjci/jey042. [DOI] [PubMed] [Google Scholar]
  • 25.Panovský R, et al. Quantitative assessment of left ventricular longitudinal function and myocardial deformation in Duchenne muscular dystrophy patients. Orphanet J. Rare Dis. 2021;16:57. doi: 10.1186/s13023-021-01704-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropr. Med. 2016;15:155–163. doi: 10.1016/j.jcm.2016.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Nori D, et al. Cardiac magnetic resonance imaging assessment of regional and global left atrial function before and after catheter ablation for atrial fibrillation. J. Interv. Card. Electrophysiol. 2009;26:109–117. doi: 10.1007/s10840-009-9409-4. [DOI] [PubMed] [Google Scholar]
  • 28.Boyd AC, Thomas L. Left atrial volumes: Two-dimensional, three-dimensional, cardiac magnetic resonance and computed tomography measurements. Curr. Opin. Cardiol. 2014 doi: 10.1097/HCO.0000000000000087. [DOI] [PubMed] [Google Scholar]
  • 29.Khan MA, et al. Association of left atrial volume index and all-cause mortality in patients referred for routine cardiovascular magnetic resonance: A multicenter study. J. Cardiovasc. Magn. Reson. 2019;21:4–4. doi: 10.1186/s12968-018-0517-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Gulati A, et al. Clinical utility and prognostic value of left atrial volume assessment by cardiovascular magnetic resonance in non-ischaemic dilated cardiomyopathy. Eur. J. Heart Fail. 2013;15:660–670. doi: 10.1093/eurjhf/hft019. [DOI] [PubMed] [Google Scholar]
  • 31.Kojima T, et al. Left atrial global and regional function in patients with paroxysmal atrial fibrillation has already been impaired before enlargement of left atrium: Velocity vector imaging echocardiography study. Eur. Heart J. Cardiovasc. Imaging. 2012;13:227–234. doi: 10.1093/ejechocard/jer281. [DOI] [PubMed] [Google Scholar]
  • 32.Bowman AW, Kovács SJ. Left atrial conduit volume is generated by deviation from the constant-volume state of the left heart: A combined MRI-echocardiographic study. Am. J. Physiol. Heart Circ. Physiol. 2004;286:H2416–H2424. doi: 10.1152/ajpheart.00969.2003. [DOI] [PubMed] [Google Scholar]
  • 33.Aquaro GD, et al. Diastolic dysfunction evaluated by cardiac magnetic resonance: The value of the combined assessment of atrial and ventricular function. Eur. Radiol. 2019;29:1555–1564. doi: 10.1007/s00330-018-5571-3. [DOI] [PubMed] [Google Scholar]
  • 34.Park JJ, et al. Left atrial strain as a predictor of new-onset atrial fibrillation in patients with heart failure. JACC Cardiovasc. Imaging. 2020;13:2071–2081. doi: 10.1016/j.jcmg.2020.04.031. [DOI] [PubMed] [Google Scholar]
  • 35.Kuppahally Suman S, et al. Left atrial strain and strain rate in patients with paroxysmal and persistent atrial fibrillation. Circ. Cardiovasc. Imaging. 2010;3:231–239. doi: 10.1161/CIRCIMAGING.109.865683. [DOI] [PubMed] [Google Scholar]
  • 36.Marino PN, et al. Left atrial conduit flow rate at baseline and during exercise: An index of impaired relaxation in HFpEF patients. ESC Heart Fail. 2021;8:4334–4342. doi: 10.1002/ehf2.13544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Di Salvo G, et al. Atrial myocardial deformation properties predict maintenance of sinus rhythm after external cardioversion of recent-onset lone atrial fibrillation. Circulation. 2005;112:387–395. doi: 10.1161/CIRCULATIONAHA.104.463125. [DOI] [PubMed] [Google Scholar]
  • 38.Jarasunas J, Aidietis A, Aidietiene S. Left atrial strain—An early marker of left ventricular diastolic dysfunction in patients with hypertension and paroxysmal atrial fibrillation. Cardiovasc. Ultrasound. 2018;16:29–29. doi: 10.1186/s12947-018-0147-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kowallick JT, Lotz J, Hasenfuß G, Schuster A. Left atrial physiology and pathophysiology: Role of deformation imaging. World J. Cardiol. 2015;7:299–305. doi: 10.4330/wjc.v7.i6.299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Kim J, et al. Left atrial strain impairment precedes geometric remodeling as a marker of post-myocardial infarction diastolic dysfunction. JACC Cardiovasc. Imaging. 2020;13:2099–2113. doi: 10.1016/j.jcmg.2020.05.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Duvall W, et al. Validation of real-time 3d echocardiography left ventricular volume-time curves with cardiac MRI and clinical utilization of emptying and filling rates. J. Cardiovasc. Dis. Diagn. 2013;1:1–7. doi: 10.4172/2329-9517.1000112. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.


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