Atrial fibrillation (AF) is among the most common arrhythmias, and its principal pathological basis is well recognized to be structural, electrical, and functional remodeling of the left atrium. For this reason, attention has traditionally centered on structural and functional changes of the atrium. The major adverse consequence of AF is the induction of new heart failure or the aggravation of pre-existing heart failure, a process that may be mechanistically linked to left ventricular interstitial fibrosis and inflammation20. Because ventricular diastolic dysfunction may be reversible in the early stages of the arrhythmia21, early noninvasive identification of myocardial fibrosis and inflammation is of considerable importance. T1 mapping, T2 mapping, and ECV derived from CMR allow quantitative assessment of myocardial fibrosis and inflammation8,9 and an inverse linear relationship has been reported between the post-contrast native T1 time of the left ventricular myocardium and the overall degree of myocardial fibrosis12,13. By enabling a one-stop examination, CMR provides comprehensive information on the structure, function, and myocardial tissue characteristics of both the atrium and the ventricle, thereby offering favorable conditions for individualized treatment and prognostic assessment in patients with AF.
Although the relationship between AF and myocardial fibrosis and edema, and the direction of causality between them, remains unresolved, myocardial fibrosis and edema are established independent predictors of adverse events in AF22,23. In the present study, LVEF, RVEF, LAEFtotal, and LAEFactive were significantly lower in the AF group than in the control group (p < 0.05), consistent with previous reports. In contrast, native T1, T2 mapping, and ECV did not differ significantly between groups, which diverges from some earlier studies. This discrepancy may reflect the small sample size and consequent selection bias, as well as the possibility that most patients had not yet developed structural pathology and exhibited only functional, potentially reversible, changes. Notably, in individual analyses, patients with more severe atrial and ventricular dysfunction showed elevated T1, T2 mapping, and ECV. Incorporating T1 mapping, T2 mapping, and ECV into the clinical evaluation of patients with AF is therefore likely to provide more reliable data for individualized treatment and prognostic assessment.
During the CMR examination, the patient's heart rate and rhythm should be controlled, as the occurrence of AF can degrade image quality and affect measurement results. Pre- and post-contrast T1 mapping must be acquired at consistent slice positions, and the myocardium in the basal and apical slices should be displayed completely and clearly. The hematocrit should be obtained on the same day, before the MR examination.
When analyzing ventricular function, the difference in stroke volume between the left and right ventricles should be kept within 5 mL. When analyzing atrial function and morphology, the left atrial contour should exclude the pulmonary vein ostia and the left atrial appendage to ensure reproducibility. When analyzing T1 and T2 mapping, regions that may bias the measurement, such as the left ventricular blood pool (adjacent to the endocardium) and pericardial fat (adjacent to the epicardium), should be avoided. In the presence of artifacts, contours should be drawn to exclude affected regions and preserve the reliability of the overall result.
Several practical problems may arise during acquisition and post-processing, and anticipating them improves data quality. During the CMR examination, monitor the patient's heart rate and rhythm, as an AF episode during scanning degrades image quality and biases mapping values. When the rhythm is irregular, use arrhythmia-rejection or real-time triggering and, where clinically appropriate, defer mapping acquisition until rate control is achieved. Acquire pre- and post-contrast T1 maps at identical slice positions and ensure that the basal and apical myocardium are displayed completely and sharply, repeating any slice affected by through-plane motion. Obtain the hematocrit on the same day and before the examination, because a temporally mismatched hematocrit is a common source of erroneous ECV values.
Beyond image artifacts, common pitfalls include incomplete breath-holds, off-resonance and susceptibility effects near the posterolateral wall and cardiac veins, inaccurate motion correction, and errors in inline map reconstruction. Mitigate breath-hold failure by coaching the patient and by using motion-corrected sequences; suspect off-resonance when regional T1 or T2 values deviate abruptly from neighboring segments, and repeat acquisition after shimming when necessary. During post-processing, verify that automatic contour propagation has not drifted across slices or phases, correct partial-volume contamination from the blood pool and pericardial fat, and confirm that the hematocrit and native/post-contrast blood-pool T1 values entered into the ECV calculation are internally consistent.
When analyzing ventricular function, keep the difference in stroke volume between the left and right ventricles within 5 mL as an internal consistency check. When analyzing atrial function and morphology, exclude the pulmonary vein ostia and the left atrial appendage from the left atrial contour to preserve reproducibility. When analyzing T1 and T2 maps, avoid regions that bias the measurement, such as the left ventricular blood pool adjacent to the endocardium and pericardial fat adjacent to the epicardium. In the presence of residual artifacts, draw contours that exclude the affected regions while preserving the reliability of the overall result.
The CMR mapping technique carries intrinsic technical limitations that are independent of this study's design. Absolute T1, T2, and ECV values are sensitive to field strength, vendor, pulse-sequence implementation, and post-processing software, so reference ranges are not directly transferable between platforms and site-specific normal values are required. Native T1 and ECV reflect a combination of diffuse fibrosis, edema, and expansion of the extracellular space rather than any single tissue process, which limits their pathological specificity. Mapping also has finite spatial resolution and is susceptible to partial volume effects in the thin atrial wall, making characterization of atrial tissue more challenging than that of ventricular tissue. Finally, ECV quantification depends on stable contrast kinetics and an accurately timed hematocrit, and its accuracy may be reduced in patients with abnormal renal function or altered hemodynamics.
Compared with echocardiography, which remains the first-line imaging modality for AF, CMR carries several inherent practical drawbacks despite its superior image quality, tissue characterization, and reproducibility. The examination is considerably more time-consuming, typically requiring 30–60 min of table time together with repeated breath-holds and electrocardiographic gating, whereas a focused echocardiogram can be completed within minutes at the bedside. The confined bore, acoustic noise, and prolonged immobility adversely affect the patient's subjective experience and are poorly tolerated by claustrophobic, dyspneic, or critically ill patients, and image quality is particularly vulnerable to irregular RR intervals during AF. CMR is also more expensive, less widely available, and non-portable, and it is contraindicated or limited in patients with certain implanted devices, severe renal impairment precluding gadolinium administration, or an inability to sustain breath-holds. These limitations mean that CMR is best positioned as a complementary, problem-solving modality for individualized tissue characterization rather than as a routine replacement for echocardiography in the general AF population.
A key strength of this protocol is that it integrates structural, functional, and tissue characterization assessment of both atria and ventricles into a single, one-stop CMR examination, improving workflow efficiency by avoiding repeated or complementary imaging studies. The acquisition follows a standardized, reproducible sequence, and the use of dedicated post-processing software for contour delineation, semi-automatic contour propagation, and inline map generation reduces operator dependence and shortens analysis time. Standardized region-of-interest placement and the internal consistency checks described above further enhance inter- and intra-observer reproducibility. Because the workflow relies on widely available mapping sequences and commercial analysis software, it is readily transferable to other centers once site-specific reference values have been established.
Looking ahead, this protocol offers several avenues for future application and methodological development. Prospective, adequately powered, multicenter studies with standardized reference ranges are needed to clarify the temporal and causal relationship between AF and myocardial fibrosis and edema, and to test whether serial mapping can track reverse remodeling after rhythm-control therapy or catheter ablation. Combining ventricular mapping with dedicated atrial T1 mapping, late gadolinium enhancement, and strain analysis may improve individualized risk stratification, while emerging techniques such as free-breathing, motion-corrected, and accelerated mapping sequences could broaden applicability to patients who cannot sustain breath-holds. Integration of machine-learning-based segmentation and automated quality control is likely to further improve reproducibility and efficiency, supporting the incorporation of CMR mapping into routine, individualized management of patients with AF.
In conclusion, the comprehensive and accurate assessment of both the atria and the ventricles afforded by CMR is expected to play an important role in the individualized prediction, diagnosis, and prognostic evaluation of atrial fibrillation.