JACC: CLINICAL ELECTROPHYSIOLOGY
VOL. 3, NO. 8, 2017
ª 2017 BY THE AMERICAN COLLEGE OF CARDIOLOGY FOUNDATION
ISSN 2405-500X/$36.00
PUBLISHED BY ELSEVIER
http://dx.doi.org/10.1016/j.jacep.2017.07.004
STATE-OF-THE-ART REVIEW
Assessment of Left Atrial Fibrosis by Late Gadolinium Enhancement Magnetic Resonance Imaging Methodology and Clinical Implications Johannes Siebermair, MD, MHBA,a,b,c Eugene G. Kholmovski, PHD,a,d Nassir Marrouche, MDa
ABSTRACT Recently, studies using late gadolinium enhancement (LGE) magnetic resonance imaging (MRI) to identify structural changes of atrial tissue have contributed significantly to understanding the pathophysiology and progression of atrial fibrillation (AF). Moreover, imaging of atrial fibrosis using MRI has evolved to be a tool to improve clinical outcome of AF ablation procedures by allowing a patient-specific individualized management approach. LGE-MRI has been shown to predict AF ablation outcome based on pre-procedural imaging to define the extent of atrial fibrosis. The results of the ongoing DECAAF II (Delayed-Enhancement MRI Determinant of Successful Radiofrequency Catheter Ablation of Atrial Fibrillation) trial might extend ablation strategies from pulmonary vein isolation alone to a substrate-based approach. Furthermore, an improved understanding of the underlying mechanisms of atrial structural remodeling is crucial in order to reduce the occurrence of AF-associated complications (e.g., ischemic stroke and heart failure). This review article provides current methodology of atrial fibrosis imaging using LGE-MRI and delineates actual clinical implications and future directions for this imaging approach. (J Am Coll Cardiol EP 2017;3:791–802) © 2017 by the American College of Cardiology Foundation.
S
ince the introduction of contrast-enhanced
translational approach of those findings aims at
magnetic resonance imaging (MRI) into clinical
increasing success rates and minimizing complica-
practice in 1982 (1) the implications for this
tions like ischemic stroke. The current paper gives in-
technique have proliferated due to technical progress
sights into the established methods of left atrial (LA)
and increasing understanding of cardiac pathophysi-
fibrosis assessment by LGE MRI and points out actual
ology (2,3). The introduction of gadolinium-based
clinical implications and future directions.
contrast agents (GBCAs) in 1984 was a milestone in cardiac imaging (4). Initially intended for assessment
USE OF LGE MRI FOR IMAGING OF
of acute and chronic myocardial infarction (3), late
ATRIAL FIBROSIS
gadolinium enhancement (LGE) MRI has recently emerged as a promising tool to obtain mechanistic in-
Fibrotic myocardial tissue is composed of dis-
sights into structural alterations of the atrial wall (5).
organized myocytes and collagen, and has expan-
In terms of atrial fibrillation (AF) treatment, a
ded extracellular space compared with healthy
From the aComprehensive Arrhythmia and Research Management (CARMA) Center, University of Utah School of Medicine, Salt Lake City, Utah; bDepartment of Medicine I, Klinikum Grosshadern, University of Munich, Munich, Germany; cGerman Cardiovascular Research Center (DZHK), partner site Munich Heart Alliance, Munich, Germany; and the dUCAIR, Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah. Dr. Kholmovski owns stock in and has been a consultant for Marrek Inc. Dr. Marrouche has ownership interest in Marrek, Inc. and Cardiac Designs; has received research funding from Biosense Webster, Medtronic, St. Jude Medical, Boston Scientific; and has received consulting fees from Biotronik, Preventice, Biosense Webster, and Abbott. Dr. Siebermair has reported that he has no relationships relevant to the contents of this paper to disclose. Manuscript received April 29, 2017; revised manuscript received July 7, 2017, accepted July 13, 2017.
792
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
Methodology and Clinical Implications of Atrial Fibrosis Imaging
ABBREVIATIONS
myocardium (6). LGE-MRI with extracellular
displacement. Thus, the data acquisition for LGE
AND ACRONYMS
gadolinium-based contrast (shortening T1
sequence is only active if the LA displacement is <1.5
relaxation time) is based on a delayed
mm from baseline. In addition, to minimize the effect
contrast wash-in and wash-out in tissue with
of LA motion, imaging data are acquired during the
3D = 3-dimensional AF = atrial fibrillation
increased extracellular space. Due to contrast
diastolic phase of the LA (identified from cine images),
kinetics, the agent diffuses rapidly out of
with data acquisition limited to 15% of the cardiac cy-
ECG = electrocardiogram
capillaries after intravenous administration,
cle. The phase-encoding direction of the LGE scan
GBCA = gadolinium-based
but it is not able to cross into cells with intact
should be left to right to minimize residual respiration
membranes, therefore accumulating in the
artifacts from the chest wall in the LA region. Gener-
IIR = image intensity ratio
extracellular space. In terms of atrial fibrosis,
alized autocalibrating partially parallel acquisitions
IR = inversion-recovery
this leads to contrast accumulation in fibrotic
(GRAPPA) with reduction factor R ¼ 2 in the phase-
LA = left atrial/atrium
areas. As a result, fibrotic tissue has higher
encoding direction is used to speed up scan time. IR
LGE = late-gadolinium-
signal intensity in comparison with healthy
preparation is applied every heartbeat, and fat satu-
enhancement
myocardium in T1-weighted MRI scans. Im-
ration is performed immediately before data acquisi-
LV = left ventricle/ventricular
age contrast between fibrotic and normal
tion. The echo time of the LGE scan is preferably
MRI = magnetic resonance
tissues
using
selected to reduce the signal intensity of partial vol-
magnetization preparation by inversion or
ume fat-tissue voxels and to allow improved delinea-
saturation radiofrequency pulses (7).
tion of the LA wall. The inversion time (TI) value for the
BMI = body mass index
contrast agent
imaging
PV = pulmonary vein
is
increased
in
LGE-MRI
RA = right atrial/atrium S/I = superior/inferior TI = inversion time
LA
FIBROSIS
ASSESSMENT:
FROM
LGE-MRI
ACQUISITION TO THE FINAL 3-DIMENSIONAL FIBROSIS MODEL (DECAAF APPROACH). The
DECAAF (Delayed-Enhancement MRI Determinant of Successful Radiofrequency Catheter Ablation of Atrial Fibrillation) study was a multicenter study conducted at 15 clinical centers. Many of the DECAAF centers have adopted this LA LGE-MRI protocol into clinical practice at their centers. Currently, this protocol can be considered the most widely used MRI protocol for LA fibrosis imaging. A detailed description of the protocol is given in the following text. DECAAF LGE-MRI PROTOCOL. Subjects assigned for
atrial fibrosis imaging undergo 3-dimensional (3D) LGE-MRI along with a contrast-enhanced magnetic resonance angiography and cine imaging in order to define the anatomy of the LA and the pulmonary veins (PVs). MRI studies can be performed on 1.5-T and 3-T MRI scanners using either specialized cardiac coils or conventional body and spine phased-array receiver coils. High-resolution LGE images of the LA are acquired 15 to 30 min after GBCA administration using a 3D inversion-recovery (IR) prepared, respirationnavigated, and electrocardiogram (ECG)-triggered gradient-echo pulse sequence with fat saturation. To reduce respiration effects on imaging quality, the navigator is positioned on the right hemidiaphragm,
LGE-MRI scan is identified using a TI-scout scan. Typical scan time for the LGE-MRI studies is expected not to exceed 8 to 12 min depending on patient rhythm and respiratory pattern. The type of contrast agents and the corresponding dosage used by different clinical centers for LGE-MRI of the left atrium are provided in Table 1. S p e c i fi c s c a n p a r a m e t e r s . The specific scan parameters of the DECAAF MRI protocol for LGE imaging of the left atrium on 1.5-T and 3-T scanners are listed in Table 2. LGE-MRI
CONTRAINDICATIONS. Contraindications
for LGE fibrosis protocol are mainly the same contraindication as for conventional MRI scans: cardiac rhythm devices, severe claustrophobia, and other standard contraindications for MRI at the discretion of the physician, like prosthetic cardiac valves, or paramagnetic material in the brain or in the eyes. Decreased renal function is not necessarily a contraindication. Nevertheless, in order to minimize the risk of nephrogenic systemic sclerosis, a severe complication of GBCA administration (8), patients with an estimated glomerular filtration rate <30 ml/min are excluded from fibrosis imaging. For patients with an estimated glomerular filtration rate between 30 and 60 ml/min, it is up to the treating physician in agreement with the patient to schedule an LGE MRI study.
and data acquisition occurs during the end of the
DECAAF
expiration phase. The navigator acceptance window is
evaluated and processed by 2 expert operators using
FIBROSIS
ASSESSMENT. MRI
usually set to 3 mm. The typical LA motion due to
Corview image processing and analysis software
respiration is predominantly in the superior/inferior
(Marrek, Salt Lake City, Utah). The proprietary soft-
(S/I) direction. This motion has lower amplitude than
ware Corview was designed and developed at the
the corresponding diaphragm motion. From our ob-
University of Utah and allows for the complete pro-
data
are
servations, the typical LA displacement in the S/I di-
cess of LA wall segmentation, fibrosis identification,
rection is about 2 times smaller than the diaphragm S/I
and export of final 3D models.
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
Methodology and Clinical Implications of Atrial Fibrosis Imaging
T A B L E 1 Dosage of Contrast Agents for the DECAAF Protocol
Contrast Agent
radiofrequency pulses has to be adjusted. The LA blood pool is used to find an inhomogeneity correc-
Dose (mmol/kg)
tion map. The adjustment is applied to the LA region
Dotarem
0.2
and adjacent tissue. For fibrosis assessment, an al-
Gadovist
0.1–0.2
gorithm automatically selects intensity thresholds
Magnevist
0.2
Multihance
0.1
Omniscan
0.2
assuming the Gaussian intensity distributions for fibrotic tissue (enhanced voxels) and “normal” myocardium. The threshold is selected based on the
DECAAF ¼ Delayed-Enhancement MRI Determinant of Successful Radiofrequency Catheter Ablation of Atrial Fibrillation.
estimated mean and SD of “normal” myocardium. The operator validates this threshold by visually inspecting the correspondence between enhanced voxels in LGE-MRI images and algorithm-detected
Following acquisition of high-resolution LGE-MRI
voxels. In the cases of discrepancy, the operator ad-
scans, the endocardial borders of the LA are defined,
justs the threshold to reflect an accurate correspon-
including an extent of the PV sleeves, by manually
dence. Typical intensity threshold values are in the
tracing the PV–LA blood pool in each slice of the LGE-
range of 2 to 4 SDs. The use of the same threshold
MRI volume.
value for all patients is not feasible because the
Next, the endocardial border is morphologically
contrast between normal and fibrotic myocardium in
dilated (by 4 pixel layers, 2.5 mm) and then manually
LGE-MRI of the left atrium depends on multiple fac-
adjusted to create the shell of the epicardial LA sur-
tors: patient heart rate and rhythm during MRI study,
face. In a final step, the endocardial segmentation is
type and dosage of contrast agent, time between
subtracted from the epicardial layer to define the wall
contrast administration and LGE-MRI scan, patient-
segmentation. The mitral valve and extents of the
specific contrast clearance rate, choice of TI value
left ventricle (LV) are manually excluded. The
for LGE scan, strength of the main field of MRI
resulting LA wall segmentation includes the 3D
scanner, patient body mass index (BMI), blood he-
extent of the LA wall and the antral regions of the 4
matocrit, and oxygenation level. For 3D visualization of LA fibrosis, the following
PVs. Before fibrosis assessment, the image intensity
color coding may be used: healthy tissue is depicted
inhomogeneity caused by spatially variable sensi-
as blue, whereas any tissue with LGE is depicted as
tivity profiles of receiver coils and nonuniform
green and yellow. Additionally, a color lookup-table mask
may
be
applied
to
better
differentiate
enhanced and non-enhanced tissue. Patients’ processed images are assigned to 1 of the established 4 T A B L E 2 Technical Specifications for LGE-MRI Image Acquisition
(DECAAF Protocol)
Utah stages, on the basis of LA wall enhancement as a percentage of the total LA wall volume: stage I,
3-T scanner Axial imaging volume with FOV
400 400 110 mm
Sampling matrix
320 320 44
Voxel size
1.25 1.25 2.5 mm (reconstructed to 0.625 0.625 1.25 mm)
TR/TE
3.1/1.4 ms
FA
14
Sampling bandwidth
740 Hz/pixel
defined as <10%, stage II $10 to <20%, stage III $20 to <30%, and stage IV $30%. The process from the LGE-MRI dataset to the final 3D fibrosis map of the LA is illustrated in Figure 1. Quantification of right atrial (RA) fibrosis by LGEMRI can be performed in a similar fashion (9). Of note, the correction of the image intensity inhomogeneity and accurate segmentation of the atrial
1.5-T scanner Axial imaging volume with FOV
360 360 110 mm
wall are more challenging for the RA than for the LA
Sampling matrix
288 288 44
because of the RA’s proximity to receiver coils and a
Voxel size
1.25 1.25 2.5 mm (reconstructed to 0.625 0.625 1.25 mm)
significant trabeculation of the RA free wall.
TR/TE
5.2/2.4 ms
COMPARISON
FA
20
LGE-MRI TO OTHER LABS. MRI techniques used by
Sampling bandwidth
290 Hz/pixel
different clinical centers for the assessment of LA
DECAAF ¼ Delayed-Enhancement MRI Determinant of Successful Radiofrequency Catheter Ablation of Atrial Fibrillation; FA ¼ flip angle; FOV ¼ field-of-view; LGE ¼ late gadolinium enhancement; MRI ¼ magnetic resonance enhancement; TE ¼ echo time; TR ¼ repetition time.
OF
FIBROSIS
ASSESSMENT
BY
fibrosis and post-ablation scar are similar to those used for the DECAAF study. All groups are using ECGtriggered, respiratory navigated gradient echo pulse sequences with IR preparation and fat saturation.
793
794
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
Methodology and Clinical Implications of Atrial Fibrosis Imaging
F I G U R E 1 LA Fibrosis Assessment From LGE-MRI
Following acquisition of high-resolution LGE-MRI scans, the endocardial borders of the left atrium (LA) are defined, including an extent of pulmonary vein (PV) sleeves, by manually tracing the PV–LA blood pool in each slice of the LGE-MRI volume. Next, the endocardial border is morphologically dilated (by 4 pixel layers, 2.5 mm) with manual adjustment to create a shell of the epicardial LA surface (step 2). The endocardial segmentation is subtracted from the epicardial layer to define the wall segmentation, with manual exclusion of the mitral valve and extension of the left ventricle. The next step is the quantification of fibrosis based on the relative intensity (signal intensity) of LGE. Finally, a 3-dimensional model of the LA is rendered with the maximum enhancement intensities being projected on the model surface. The following color coding is used: healthy tissue is depicted as blue, whereas any tissue with LGE is depicted as green and yellow. LGE ¼ late gadolinium enhancement; MRI ¼ magnetic resonance imaging.
The pulse sequence is acquired 15 to 30 min after
to segment the LA walls from LGE images. Contrast-
administration of 0.1 to 0.2 mmol/kg GBCA. Typical
enhanced magnetic resonance angiography acquired
scan parameters used by the different centers are
at the same cardiac and respiratory phases as 3D LGE-
presented in Table 3.
MRI can be used to simplify segmentation of LA
Besides Corview, 2 other tailored software pack-
endocardial surface. Some groups quantify LA fibrosis
ages are in use to assess atrial fibrosis, Itk-SNAP
analyzing
Version 2.2.0 (10) and QMass MR Software Version
segmented LA walls and relying on expert operator
7.2 (Medis Medical Imaging Systems, Leiden, the
decision to select detection thresholds, which typi-
Netherlands) (11).
cally range from 2 to 4 SDs above the mean for normal
signal
intensity
distribution
of
the
The main difference between the centers per-
myocardium (12–15). Other groups use the LA blood
forming assessment of LA fibrosis is how LGE images
pool as a reference to identify enhanced LA wall
are analyzed to quantify LA fibrosis. The majority of
voxels (11,16–20). The image intensity ratio (IIR)
those centers use manual or semimanual approaches
method proposed by Khurram et al. (17) normalizes
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
Methodology and Clinical Implications of Atrial Fibrosis Imaging
the intensity of the LA wall by the mean value of the blood pool intensity. This approach may reduce
T A B L E 3 Detailed Scan Parameters for LGE Fibrosis Assessment
Field Strength
TR/TE/FA
Voxel Size
DECAAF Centers (12,14)
Center
1.5 T
5.2/2.4/20
1.251.252.5
Beth Israel Center, Boston (75)
1.5 T
5.3/2.1/25
1.31.34.0
Bordeaux, France (13)
1.5 T
6.2/2.4/22
1.251.252.5
CARMA Center, Salt Lake City (15)
1.5 T
5.2/2.4/20
1.251.252.5
Johns Hopkins, Baltimore (11,17)
1.5 T
3.8/1.52/10
1.31.32.0
tify pre-existing LGE, and an IIR >1.61 to identify pre-
King’s College, United Kingdom (20)
1.5 T
5.5/3.0/25
1.31.34.0
existing dense LGE, respectively (17,18). By contrast,
DECAAF Centers (12,14)
3T
3.1/1.4/14
1.251.252.5
a group from Barcelona University has proposed the
Barcelona, Spain (19)
3T
2.3/1.4/11
1.251.252.5
use of an IIR <1.2 to identify healthy atrial myocar-
CARMA Center, Salt Lake City (15)
3T
3.1/1.4/14
1.251.252.5
intraoperator and interoperator variability in quantification of LA fibrosis. However, currently, there is no agreement on what IIR value should be used as the threshold for fibrosis identification. A group from Johns Hopkins University used an IIR >0.97 to iden-
dium, IIR between 1.2 and 1.32 for interstitial fibrosis, and IIR >1.32 for dense scarring (21). The discrepancy
Abbreviations as in Table 2.
in IIR thresholds between the groups may be attributed to the fact that these groups have used scanners
fibrotic and normal tissue because T1 relaxation time
with different field strengths, different contrast
of tissue can change significantly due to contrast
agents, and different time intervals between contrast
clearance (24). Scanners with higher field strength
administration and LGE-MRI scans. All these factors
(clinical use up to 3-T, research up to 9.4-T) might
can change the ratio of image intensities of myocar-
achieve better spatial resolution. Second, it remains a
dium and blood pool. Furthermore, this ratio is
challenge to differentiate between transmural and
dependent on the TI value, the heart rate and rhythm
partial thickness of LA fibrosis due to the limited
during MRI acquisition, a patient-specific contrast
spatial resolution of LGE-MRI scans. Another main
clearance rate, the BMI, blood hematocrit, and
issue in atrial MRI is cardiac and respiratory motion.
oxygenation level.
Because data acquisition for LGE-MRI of atrial walls
REPRODUCIBILITY OF LA FIBROSIS ASSESSMENT.
Interobserver variability of LA fibrosis assessment has been studied by a few groups. The Comprehensive Arrhythmia Research and Management (CARMA) center has reported on inter-observer correlation coefficients in a range of 0.79 to 0.97, which demonstrate
high
reproducibility
with
respect
to
segmentation of LA wall and fibrosis quantification (12,15). Other experienced groups reported a correlation coefficient of 0.93 with respect to quantification of LGE, with a reported interobserver agreement of 0.96 (13). Such high correlation coefficients for observer variability are a reflection of experience in acquisition of good quality LGE-MRI data, accurate segmentation of LA wall, and reproducible fibrosis quantification in high-volume centers.
cannot be performed within a single heart cycle, the data acquisition process has to be ECG-triggered. Modern MRI protocols limit the data acquisition interval to <20% of the RR intervals (120 to 200 ms) with adjustment of the acquisition window duration and position depending on heart rate and rhythm. For gating, the QRS complex has to be accurately detected by the scanner to ensure that data are acquired at the same time of cardiac cycle (25). Data acquisition is performed in atrial diastole to minimize motion artifacts and extend data acquisition duration. In contrast to patients with stable RR intervals (sinus rhythm, atrial flutter), imaging of the left atrium in arrhythmia (atrial fibrillation, premature beats) remains a challenge. For such patients, data acquisition should be performed early after the R-wave, and the duration of the data acquisition window should be
CHALLENGES IN IMAGING OF LA FIBROSIS: WHY
shortened to 10% to 12% of the average RR interval.
ARE POOR IMAGES POOR? Several challenges in
To minimize respiratory motion artifacts, a respira-
atrial fibrosis imaging are of major concern. First,
tory gating algorithm is applied. Conventional breath-
atrial walls (2 to 4 mm) are 2- to 3-fold thinner than
hold imaging with long breath-holds (>10 s) is often
ventricular walls (22). Considering a spatial resolution
challenging for patients with cardiopulmonary dis-
of 1.2 to 1.5 mm of LGE-MRI scans, the partial volume
ease and is not feasible for atrial fibrosis imaging,
effect from surrounding tissue bears the risk of
where high spatial resolution in all 3 dimensions is
wrongly characterizing adjacent tissue as LA wall (23).
required.
To improve spatial resolution, a prolonged acquisi-
Besides these issues, many other factors may affect
tion time may be used, with the limitation of image
image quality and contrast between fibrotic and
artifacts and blurring due to patients’ respiration,
normal myocardium, such as surface coil proximity,
cardiac, and global motion. Further, longer acquisi-
field strength, patient hematocrit, BMI, or dosage of
tion times may result in reduced contrast between
contrast agent (26).
795
796
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
Methodology and Clinical Implications of Atrial Fibrosis Imaging
T A B L E 4 Available Literature on LGE Fibrosis Imaging
Year
Type of Study
Ablation
Oakes et al. (75)
First Author (Ref. #)
2009
Single center
Yes
Peters et al. (76)
2009
Kuppahally et al. (38)
2010
Single center
Kuppahally et al. (77)
2010
Mahnkopf et al. (37) Akoum et al. (40)
N
Enrollment
Primary Result
LGE MRI is able to assess pre-ablation LA fibrosis
81
12/2006–01/2008
Yes
35
04/2005–05/2007
Yes
68
—
Single center
No
65
06/2006–3/2008
LA wall fibrosis by DE-MRI is inversely related to LA strain and strain rate
2010
Single center
No
333
12/2006–11/2009
The degree of LA structural remodeling as detected using DE-MRI is independent of AF type and associated comorbidities
2011
Single center
Yes
144
11/2006–11/2008
Overall post-ablation LA wall scarring predicts recurrence in moderate fibrosis stages
Daccarett et al. (46)
2011
Multicenter
No
387
McGann et al. (78)
2011
Single center
Yes
37
Recurrence of AF correlates with post-procedural LGE Echocardiographic LA reverse remodeling after catheter is predicted by pre-ablation delayed enhancement of LA by MRI
—
LA fibrosis is associated with a history of stroke
07/2009–01/2010
No-reflow areas in LGE MRI after ablation predict chronic scar formation
Akoum et al. (9)
2012
Single center
No
344
11/2006–11/2009
Significant atrial fibrosis is associated with sinus node dysfunction
Akoum et al. (12)
2013
Single center
No
178
04/2009–09/2010
Atrial fibrosis is associated with LAA thrombi and spontaneous echo contrast
Akkaya et al. (62)
2013
Single center
Yes
384
07/2007/–3/2010
Amount of structural remodeling in AF patients depending on LV systolic dysfunction
Malcolme-Lawes et al. (16)
2013
Multicenter
Yes
50
—
LA scar quantified automatically correlates with colocated endocardial voltage
Bisbal et al. (19)
2014
Single center
No
15
06/2012–03/2013
Harrison et al. (10)
2014
Animal study
Yes
16
—
DE-CMR can identify and localize gaps after PVI
McGann et al. (15)
2014
Single center
Yes
426
12/2006–05/2009
LA remodeling, measured by LGE-MRI, predicts outcome of AF catheter ablation
Marrouche et al. (14)
2014
Multicenter
Yes
329
08/2010–08/2011
Pre-ablation LA fibrosis predicts outcome after catheter ablation of AF (DECAAF trial)
Parmar et al. (79)
2014
Single center
Yes
70
08/2011–12/2012
Electroanatomic mapping overestimates scar assessed by LGE-MRI after AF ablation
Akoum et al. (80)
2015
Multicenter
Yes
177
08/2010–08/2011
LGE-MRI of ablation-induced scarring demonstrates that chronic PV encirclement is rarely achieved
Fukumoto et al. (18)
2015
Single center
Yes
20
04/2010–04/2013
Intensity of LGE can differentiate between ablation-induced and pre-existing atrial scarring
Chrispin et al. (81)
2016
Single center
Yes
9
—
Khurram et al. (82)
2016
Single center
Yes
165
11/2011–12/2013
Chrispin et al. (11)
2017
Single center
No
179
—
Histopathological validation of CMR and endocardial voltage mapping to define acute and chronic atrial ablation injury
AF rotor incidence is not correlated to global or regional extent of atrial LGE LGE >35% predicts early AF recurrence The presence of pre-ablation LA LGE extent was associated with increasing LA volume
AF ¼ atrial fibrillation; CMR ¼ cardiac magnetic resonance; DE ¼ delayed enhancement; LA ¼ left atrial/atrium; LAA ¼ left atrial appendage; LV ¼ left ventricular; PV ¼ pulmonary vein; PVI ¼ pulmonary vein isolation; other abbreviations as in Table 2.
Pooled data from the CARMA center and from
of the left atrium depend on the heart rate and reg-
Cochet et al. (13) reveal that appropriate images for
ularity of heart rhythm. Recent data demonstrate a
quantification of the LA wall can be obtained in 82.7%
significant lower scar visibility in patients with a
to 100% of MRIs. This depends primarily on the heart
tachycardic heart rate (>100 beats/min) (28). In
rhythm (regular vs. irregular) at the time of the MRI
addition, arrhythmia adversely affects image quality
assessment (13–15). In a retrospective analysis of
of LGE-MRI, resulting in LA wall blurring and
DECAAF data, errors of the attending technologist
ghosting artifacts. Therefore, we recommend accu-
were identified as the primary source (62%) of poor
rate rate control or cardioversion before image
quality scans (wrong TI or phase-encoding direction,
acquisition in patients with a tachycardic or irregular
errors in navigator prescription, and partial coverage
heart rate.
of the left atrium). Additionally, 31% of the poor-
In case of hardware issues, the type of scanner has
quality scans were patient-related, and 7% were the
a major impact on the quality of LGE imaging of the
result of hardware issues (27). With respect to
LA. Our analyses of image quality on 1.5- and 3-T
patient-related issues, arrhythmia and irregular res-
scanners revealed poor image quality in 20% of
piratory patterns were causative for poor image
scans acquired by old generations of 1.5-T scanners.
quality at the same rate (each 40%). Both overall
The 3-T or modern 1.5-T scanners with specialized
image quality and fibrosis/scar visibility of LGE-MRI
cardiac coils are preferable for LGE-MRI of LA.
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
With respect to image quality, the DECAAF study
Methodology and Clinical Implications of Atrial Fibrosis Imaging
data suggest a potential regression of structural al-
clearly showed a significant learning curve with the
terations, which is best when AF ablation is per-
number of patients assessed (28). Progress in imaging
formed in early Utah stages (38).
techniques and scanner hardware, as well as better
Those mechanistic insights may provide the hy-
training of MRI technologists, may further improve
pothesis for future cohort and investigational studies
image quality of LGE-MRI of the LA.
assessing progression and reversibility of atrial fibrotic remodeling by interventions.
IMPLICATION OF LA FIBROSIS IMAGING OUTSIDE AND
At the moment, the decision to invasively treat a
INSIDE THE ELECTROPHYSIOLOGY LABORATORY. Atrial
patient for AF is based on symptoms, temporal
fibrosis is a common pathophysiological contributor
behavior of the arrhythmia, age, and comorbidities
to initiation and maintenance of AF. Hence, including
associated with the arrhythmia on presentation
fibrosis imaging into the diagnosis, monitoring,
(34,39). LGE-MRI has been shown to be a powerful
and treatment of AF may be crucial for improvement
predictor for outcome when correcting for other
of outcomes and understanding of disease progres-
confounding factors (14). For patients with higher
sion (29). Table 4 summarizes the available literature
Utah classes (i.e., class III/IV with diffuse and exten-
on LGE-MRI imaging.
sive fibrosis), a conventional, noninvasive approach
The concept of the self-perpetuation of AF (“AF
should be considered because the potential for long-
begets AF”) by structural remodeling is well estab-
term freedom from AF is very low after interven-
lished in animal models (30). Studies in goats have
tional therapy (2,40,41) (Figure 2). In addition,
shown that high-frequency atrial pacing leads to
pre-ablation LGE-MRI can also help in counseling
atrial remodeling with a dedifferentiation of atrial
patients about both expected outcome of catheter
myocytes to a more fetal phenotype (31). In vitro data
ablation and alternative treatment options.
suggest a profound cardiomyocyte–fibroblast interaction regulating myofibroblast function that can
UPSTREAM APPROACHES FOR
result in an increase in atrial interstitial fibrosis (32).
AF TREATMENT
Those fibrotic alterations have been shown to maintain AF and to increase its burden (33).
Therapeutic measures to reduce the risk for AF, such
Clinical outcomes of catheter- and non–catheter-
as blood pressure control, moderate exercise, and
based interventions (34) are still unsatisfactory.
optimization of other comorbidities, have already
Several observations in recent years have led to new
been shown to be effective in certain groups of pa-
mechanistic insights in AF. On the basis of the most
tients (theoretically by reducing the fibrotic burden)
current guidelines of the European Society of Cardi-
(35,42,43). The visualization of an atrial substrate by
ology (35) and a recently published consensus docu-
LGE-MRI offers the chance to determine the effect of
ment (36), the understanding of AF is changing from a
upstream interventions by documentation of pro-
sole rhythm disturbance toward the concept of a
gression or reversal of atrial remodeling. Although
combined rhythm plus atrial cardiomyopathy phe-
not yet conclusively elucidated, fibrosis assessment
nomenon that is well intertwined. The consensus
may also have the potential to further clarify the role
paper characterizes this atrial cardiomyopathy as
of antiarrhythmic effects of nonantiarrhythmic drugs
“any complex of structural, architectural, contractile
in terms of upstream therapy, as already suggested
or electro-physiological changes affecting the atria
for angiotensin-converting enzyme inhibitors (TRACE
with the potential to produce clinically-relevant
[Trandolapril Cardiac Evaluation] study) (44), where
manifestations” (36). Imaging atrial fibrosis using
a direct involvement on a molecular basis is assumed
LGE-MRI may be an option to identify patients at risk
(45). Proper patient selection is mandatory to rein-
for AF before the initiation of the arrhythmia. Cochet
vestigate whether these drugs are beneficial in spe-
et al. (13) demonstrated significant structural changes
cific subgroups, that is, in patients in whom fibrosis is
in atria of non-AF individuals (11.1 4.7% atrial
very likely to develop and contribute to AF, at a point
fibrosis). This extent of fibrosis is consistent with
before fibrosis is too advanced for any further
findings of our center (9%, unpublished data). Data by
rhythm-controlling therapies to be helpful.
Mahnkopf et al. (37) stress the fact that this atrial myopathy/fibrosis may be a precursor for the development of AF by demonstrating that fibrotic atrial
PREDICTING CLINICAL OUTCOME WITH RESPECT TO STROKE AND HEART FAILURE
alterations are already present in the early stages of AF. In order to monitor the effect of invasive ap-
There is increasing evidence for an association of AF,
proaches on structural remodeling, our LGE-MRI
atrial fibrosis, and cardioembolic stroke. Fibrosis
797
798
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
Methodology and Clinical Implications of Atrial Fibrosis Imaging
F I G U R E 2 Management of AF, Guided by Fibrosis Imaging
The flowchart delineates management of patients with atrial fibrillation (AF) by the use of LGE-MRI. With respect to clinical outcome, assessment of temporal fibrosis behavior is a potential parameter to manage patients with AF recurrence after pulmonary vein isolation. Both pre-ablation fibrosis as well as extensive progression of post-ablation fibrosis are associated with low success rates of catheter ablation; those patients should be considered for treatment with a nonablative approach. Abbreviations as in Figure 1.
detected using LGE-MRI has been demonstrated to be
with a rare autosomal recessive disease (atrial dilated
associated with stroke (46). Further data identified
cardiomyopathy) give proof of evidence that the risk
pre-ablation fibrosis burden as a significant risk factor
of stroke might be independently associated with
for the presence of spontaneous echo contrast in
structural fibrotic remodeling in the absence of AF
transesophageal echocardiography (12), adding addi-
(50). Further considerations suggest a potential un-
tional predictive power to already established risk
derlying procoagulative state, mediated by PAR
scores (39,47,48).
signaling, which on the one hand might predispose to
Recent data raise the question of whether there is
thromboembolic events and on the other hand
always a direct causal relationship between stroke
contribute to atrial fibrosis (51). According to these
and AF. The ASSERT (Asymptomatic Atrial Fibrilla-
findings, risk of stroke in AF should be considered a
tion and Stroke Evaluation in Pacemaker Patients and
continuum in which cumulative risk factors have to
the Atrial Fibrillation Reduction Atrial Pacing Trial)
be assessed, and the additional value of fibrosis
showed that stroke events had only a very poor cor-
assessment has to be further investigated in pro-
relation to the time of AF episodes (49), and patients
spective controlled trials (52).
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
Methodology and Clinical Implications of Atrial Fibrosis Imaging
HEART FAILURE. The association between AF and
might be the preferred option. In case of stable or
heart failure was initially described in 1914 (53).
even regressive fibrotic alterations, another invasive
Today, more than 100 years later, the prevalence of
approach could be considered, including re-isolation
AF in heart failure is estimated to be as high as 13% to
of PVs, connection or homogenization of existing
27% (54). Despite the causal relationship of AF and HF
scar, or performance of additional linear ablations in
being only incompletely understood, AF is suspected
order to reduce risk of macro–re-entrant tachycar-
to be both the cause and consequence of heart failure
dias. Finally, because the requirement of a durable,
(55–57). In most cases, the causal relationship be-
complete PV isolation for long-term AF freedom is
tween congestive heart failure and AF might be
still under discussion, LGE-MRI could help to spe-
driven by ventricular dysfunction that leads to atrial
cifically determine gaps in lesion sets before a redo
fibrosis perpetuating AF (58,59). Wijesurendra et al.
procedure (66). Thus, the MRI data could be used to
(60) demonstrated that depressed LV energetics
successfully guide the repeat procedure.
remain unaltered, independent from restoration of sinus rhythm, suggesting a primary ventricular cause.
FIBROSIS AS AN ABLATION TARGET TO
Atrial fibrosis is considered a key player in the
IMPROVE OUTCOME
development of AF on the basis of heart failure (59,61). Akkaya et al. (62) showed that AF patients
LGE-MRI provides a tool to improve our under-
with heart failure present with a higher degree of
standing of the causal and temporal relationship of
atrial fibrosis on LGE-MRI, further highlighting a
electrical and structural remodeling in the natural
causal relationship between LV dysfunction and atrial
course of AF. Voltage mapping by sampling electrical
structural remodeling leading to AF initiation and
signals from atrial tissue is the gold standard to assess
maintenance. However, human studies on assessing
and stage the extent of atrial fibrosis; this is based
the role of atrial fibrosis in the setting of heart failure
upon the assumption that fibrotic tissue would yield a
are scarce, and further research is warranted.
low voltage signal (67). As early as 1999, Callans et al. (68) described a correlation between electroanatomic
SELECTING APPROPRIATE CANDIDATES FOR
properties and histopathological findings of fibrotic
TREATMENT (RECURRENCE POST-ABLATION)
alterations in porcine animal models. Jadidi et al. (69) and others report a correlation of MRI data and elec-
Because fibrosis reflects the hallmark of structural
trophysiological properties: lower bipolar voltage in
remodeling, assessment of changes of fibrotic alter-
fibrotic areas compared with nonfibrotic tissue.
ations might give new insights into AF treatment
However, the sole consideration of low voltage bears
strategies in case of recurrence after catheter abla-
limitations. For example, slow conduction induced by
tion.
functional
This
is
based
on
echocardiographic
data
alterations,
for
example,
connexin
showing that LA function could improve after surgi-
changes, can mimic low voltage without being related
cal or catheter-based treatment of AF (38,63,64).
to fibrotic remodeling (70).
Therefore, besides the goal of initial proper patient
During the past decade, arbitrary thresholds to
selection, left atrial fibrosis and its progression
define fibrotic areas have been established in clinical
should be considered before and after initial and
practice, a bipolar voltage #0.05 mV has been
repeat ablative therapy (Figure 2). LGE-MRI provides
considered as atrial scar on the basis of baseline
promising results to visualize the temporal behavior
noise in early electroanatomic mapping systems
of atrial fibrosis after ablation by subtracting post-
(10,71). Malcolme-Lawes et al. (16) provide the first
ablation scarring from the total extent of initial
point-by point comparison of fibrosis, assessed by
fibrotic atrial tissue. Interestingly, patients free of AF
LGE-MRI, and colocated endocardial voltage, and
recurrence after catheter ablation showed a signifi-
confirm previous work of Jadidi et al. (69), demon-
cant reduction in LA fibrosis burden in follow-up MRI
strating that increasing levels of LGE correlate with
studies (65). Hypothetically, in the case of extensive
lower voltages. LGE levels of 5 SD above blood pool
post-ablation progression of fibrosis, it might not be
were correlated to 0.38 0.28 mV, indicating that
justified to schedule the patient for another invasive
0.05 mV as an arbitrary threshold might underesti-
procedure unless no other treatment options are
mate the extent of fibrotic areas (16,69). According
available. Currently, various studies are assessing the
to Harrison et al. (10), because ablation-induced
best treatment option in this group of patients. In
scarring reveals a voltage of 0.3 to 0.6 mV, a
general, nonablative management (adequate rate
threshold of #0.05 could significantly underestimate
control either by drugs or atrioventricular node
the extent of ablation injury. This group provides
ablation after permanent pacemaker implantation)
the first histopathological validation of LGE and
799
800
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
Methodology and Clinical Implications of Atrial Fibrosis Imaging
endocardial voltage mapping for definition of atrial
DECAAF II trial further investigates this hypothesis
scarring by acute and chronic ablation injury by
and will probably generate additional insights into the
providing signal intensity thresholds for both abla-
role of atrial fibrosis as a potential target for catheter
tion types. According to those studies and our
ablation of AF. This additional information could help
experience, patient-specific cutoff voltage values for
to improve our understanding of the underlying
fibrosis have to be established, and more histopath-
mechanisms driving AF, and could serve as a basis for
ological validation studies for atrial fibrosis are
establishing novel ablation approaches, e.g., ablation
crucial. It has to be validated whether MRI, which
of rotational activity or focal triggers.
offers the option to assess atrial structure in 3D and
In conclusion, atrial fibrosis has to be considered as
not just the endocardial surface as provided by
a potential key factor in the management of AF.
voltage mapping, is able to reliably identify the
Because fibrosis development is a multifactorial pro-
location and transmural extent of fibrotic changes.
cess resulting in complex neurohumoral and cellular
Further, other methods to assess structural changes
interactions (6,73,74), its consideration for AF treat-
have to be investigated, as echo studies could show
ment bears the potential to significantly improve AF
that 3D speckle tracking offers the chance to obtain
understanding and outcomes. Further, MRI as a
information on mechanical and substrate abnormal-
potent noninvasive diagnostic tool allows for follow-
ities (38,72).
up investigations without radiation exposure or risk
Recent data provide increasing evidence that AF
of invasive work-up. Nevertheless, LGE-MRI tech-
might represent more a state of electrical and struc-
niques to assess LA fibrosis require significant
tural remodeling with increased susceptibility to AF
expertise; therefore, further technical improvements
than just the consequence of PV triggers (36,67). This
and more generalized imaging methods have to be
theory is also supported by our data showing that re-
established worldwide. The DECAAF II study will
sidual fibrosis after AF ablation procedure is a strong
probably help to improve the wide adoption of this
predictor of arrhythmia recurrence (41). Nevertheless,
important imaging tool.
available MRI data validating post-ablation PV scarring with repeat EP studies suggest a better clinical
ADDRESS FOR CORRESPONDENCE: Dr. Nassir Mar-
outcome with increasing number of totally isolated
rouche, Comprehensive Arrhythmia Research and
PVs (66). A final conclusion for the data has to be
Management (CARMA) Center, University of Utah,
drawn in order to finally clarify the role of an existing
30 North 1900 East, Room 4A100, Salt Lake City,
causative atrial substrate in AF with a potential for
Utah
therapeutic substrate modification. The ongoing
utah.edu.
84132.
E-mail:
nassir.marrouche@carma.
REFERENCES 1. Goldman MR, Brady TJ, Pykett IL, et al. Quantification of experimental myocardial infarction using nuclear magnetic resonance imaging and
7. Kim RJ, Chen EL, Lima JA, Judd RM. Myocardial Gd-DTPA kinetics determine MRI contrast enhancement and reflect the extent and severity
paramagnetic ion contrast enhancement in excised canine hearts. Circulation 1982;66:1012–6.
of myocardial injury after acute reperfused infarction. Circulation 1996;94:3318–26.
2. Han FT, Akoum N, Marrouche N. Value of magnetic resonance imaging in guiding atrial fibrillation management. Can J Cardiol 2013;29: 1194–202.
8. Yerram P, Saab G, Karuparthi PR, Hayden MR, Khanna R. Nephrogenic systemic fibrosis: a mysterious disease in patients with renal failure– role of gadolinium-based contrast media in causation and the beneficial effect of intravenous sodium thiosulfate. Clin J Am Soc Nephrol 2007;2:
3. Kim RJ, Fieno DS, Parrish TB, et al. Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation 1999;100:1992–2002. 4. Weinmann HJ, Brasch RC, Press WR, Wesbey GE. Characteristics of gadolinium-DTPA complex: a potential NMR contrast agent. Am J Roentgenol 1984;142:619–24. 5. Gal P, Marrouche NF. Magnetic resonance imaging of atrial fibrosis: redefining atrial fibrillation to a syndrome. Eur Heart J 2017;38:14–9. 6. Burstein B, Nattel S. Atrial fibrosis: mechanisms and clinical relevance in atrial fibrillation. J Am Coll Cardiol 2008;51:802–9.
258–63. 9. Akoum N, McGann C, Vergara G, et al. Atrial fibrosis quantified using late gadolinium enhancement MRI is associated with sinus node dysfunction requiring pacemaker implant. J Cardiovasc Electrophysiol 2012;23:44–50. 10. Harrison JL, Jensen HK, Peel SA, et al. Cardiac magnetic resonance and electroanatomical mapping of acute and chronic atrial ablation injury: a histological validation study. Eur Heart J 2014;35: 1486–95. 11. Chrispin J, Ipek EG, Habibi M, et al. Clinical predictors of cardiac magnetic resonance late
gadolinium enhancement in patients with atrial fibrillation. Europace 2017;19:371–7. 12. Akoum N, Fernandez G, Wilson B, McGann C, Kholmovski E, Marrouche N. Association of atrial fibrosis quantified using LGE-MRI with atrial appendage thrombus and spontaneous contrast on transesophageal echocardiography in patients with atrial fibrillation. J Cardiovasc Electr 2013;24: 1104–9. 13. Cochet H, Mouries A, Nivet H, et al. Age, atrial fibrillation, and structural heart disease are the main determinants of left atrial fibrosis detected by delayed-enhanced magnetic resonance imaging in a general cardiology population. J Cardiovasc Electrophysiol 2015;26:484–92. 14. Marrouche NF, Wilber D, Hindricks G, et al. Association of atrial tissue fibrosis identified by delayed enhancement MRI and atrial fibrillation catheter ablation: the DECAAF study. JAMA 2014; 311:498–506. 15. McGann C, Akoum N, Patel A, et al. Atrial fibrillation ablation outcome is predicted by left atrial remodeling on MRI. Circ Arrhythm Electrophysiol 2014;7:23–30.
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
16. Malcolme-Lawes LC, Juli C, Karim R, et al. Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: a 2-center study. Heart Rhythm 2013;10:1184–91. 17. Khurram IM, Beinart R, Zipunnikov V, et al. Magnetic resonance image intensity ratio, a normalized measure to enable interpatient comparability of left atrial fibrosis. Heart Rhythm 2014;11:85–92. 18. Fukumoto K, Habibi M, Gucuk Ipek E, et al. Comparison of preexisting and ablation-induced late gadolinium enhancement on left atrial magnetic resonance imaging. Heart Rhythm 2015;12: 668–72. 19. Bisbal F, Guiu E, Cabanas-Grandio P, et al. CMR-guided approach to localize and ablate gaps in repeat AF ablation procedure. J Am Coll Cardiol Img 2014;7:653–63. 20. Harrison JL, Sohns C, Linton NW, et al. Repeat left atrial catheter ablation: cardiac magnetic resonance prediction of endocardial voltage and gaps in ablation lesion sets. Circ Arrhythm Electrophysiol 2015;8:270–8. 21. Benito EM, Carlosena-Remirez A, Guasch E, et al. Left atrial fibrosis quantification by late gadolinium-enhanced magnetic resonance: a new method to standardize the thresholds for reproducibility. Europace 2016 Dec 8 [E-pub ahead of print]. 22. Kawel N, Turkbey EB, Carr JJ, et al. Normal left ventricular myocardial thickness for middle-aged and older subjects with steady-state free precession cardiac magnetic resonance: the multi-Ethnic Study of Atherosclerosis. Circ Cardiovasc Imaging 2012;5:500–8. 23. Appelbaum E, Manning WJ. Left atrial fibrosis by late gadolinium enhancement cardiovascular magnetic resonance predicts recurrence of atrial fibrillation after pulmonary vein isolation: do you see what I see? Circ Arrhythm Electrophysiol 2014; 7:2–4. 24. Bois JP, Glockner J, Young PM, et al. Low incidence of left atrial delayed enhancement with MRI in patients with AF: a single-centre experience. Open Heart 2017;4:e000546.
Methodology and Clinical Implications of Atrial Fibrosis Imaging
30. Wijffels MC, Kirchhof CJ, Dorland R, Allessie MA. Atrial fibrillation begets atrial fibrillation. A study in awake chronically instrumented goats. Circulation 1995;92:1954–68. 31. Ausma J, Wijffels M, Thone F, Wouters L, Allessie M, Borgers M. Structural changes of atrial myocardium due to sustained atrial fibrillation in the goat. Circulation 1997;96:3157–63. 32. Burstein B, Qi XY, Yeh YH, Calderone A, Nattel S. Atrial cardiomyocyte tachycardia alters cardiac fibroblast function: a novel consideration in atrial remodeling. Cardiovasc Res 2007;76: 442–52. 33. Li D, Fareh S, Leung TK, Nattel S. Promotion of atrial fibrillation by heart failure in dogs: atrial remodeling of a different sort. Circulation 1999; 100:87–95. 34. Tilz RR, Rillig A, Thum AM, et al. Catheter ablation of long-standing persistent atrial fibrillation: 5-year outcomes of the Hamburg Sequential Ablation Strategy. J Am Coll Cardiol 2012;60: 1921–9. 35. Kirchhof P, Benussi S, Kotecha D, et al. 2016 ESC guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J 2016;37:2893–962. 36. Goette A, Kalman JM, Aguinaga L, et al. EHRA/ HRS/APHRS/SOLAECE expert consensus on atrial cardiomyopathies: definition, characterization, and clinical implication. Heart Rhythm 2017;14:e3–40. 37. Mahnkopf C, Badger TJ, Burgon NS, et al. Evaluation of the left atrial substrate in patients with lone atrial fibrillation using delayedenhanced MRI: implications for disease progression and response to catheter ablation. Heart Rhythm 2010;7:1475–81. 38. Kuppahally SS, Akoum N, Badger TJ, et al. Echocardiographic left atrial reverse remodeling after catheter ablation of atrial fibrillation is predicted by preablation delayed enhancement of left atrium by magnetic resonance imaging. Am Heart J 2010;160:877–84. 39. Calkins H, Kuck KH, Cappato R, et al. 2012 HRS/EHRA/ECAS expert consensus statement on catheter and surgical ablation of atrial fibrillation: recommendations for patient selection, procedural
25. Chia JM, Fischer SE, Wickline SA, Lorenz CH. Performance of QRS detection for cardiac magnetic resonance imaging with a novel vectorcardiographic triggering method. J Magn Reson Imaging 2000;12:678–88.
techniques, patient management and follow-up, definitions, endpoints, and research trial design: a report of the Heart Rhythm Society (HRS) Task Force on Catheter and Surgical Ablation of Atrial Fibrillation. Heart Rhythm 2012;9:632–96.e21.
26. Beinart R, Nazarian S. Role of magnetic resonance imaging in atrial fibrillation ablation. Curr
40. Akoum N, Daccarett M, McGann C, et al. Atrial fibrosis helps select the appropriate patient and
Treat Options Cardiovasc Med 2014;16:316.
strategy in catheter ablation of atrial fibrillation: a DE-MRI guided approach. J Cardiovasc Electrophysiol 2011;22:16–22.
27. Kholmovski EG, Damal K, Burgon NS, et al. A multi-center trial of LGE-MRI of the left atrium. J Cardiovasc Magn Reson 2013;15:O111. 28. Vijayakumar S, Kholmovski EG, Haslam MM, Burgon NS, Marrouche NF. Dependence of image quality of late gadolinium enhancement MRI of left atrium on number of patients imaged: results of multi-center trial DECAAF. J Cardiovasc Magn Reson 2014;16:146. 29. Allessie M, Ausma J, Schotten U. Electrical, contractile and structural remodeling during atrial fibrillation. Cardiovasc Res 2002;54:230–46.
41. Akoum N, Wilber D, Hindricks G, et al. MRI assessment of ablation-induced scarring in atrial fibrillation: analysis from the DECAAF study. J Cardiovasc Electrophysiol 2015;26:473–80. 42. Elliott AD, Mahajan R, Pathak RK, Lau DH, Sanders P. Exercise training and atrial fibrillation: further evidence for the importance of lifestyle change. Circulation 2016;133:457–9. 43. Pathak RK, Middeldorp ME, Lau DH, et al. Aggressive risk factor reduction study for atrial
fibrillation and implications for the outcome of ablation: the ARREST-AF cohort study. J Am Coll Cardiol 2014;64:2222–31. 44. Pedersen OD, Bagger H, Kober L, TorpPedersen C. Trandolapril reduces the incidence of atrial fibrillation after acute myocardial infarction in patients with left ventricular dysfunction. Circulation 1999;100:376–80. 45. Li D, Shinagawa K, Pang L, et al. Effects of angiotensin-converting enzyme inhibition on the development of the atrial fibrillation substrate in dogs with ventricular tachypacing-induced congestive heart failure. Circulation 2001;104: 2608–14. 46. Daccarett M, Badger TJ, Akoum N, et al. Association of left atrial fibrosis detected by delayed-enhancement magnetic resonance imaging and the risk of stroke in patients with atrial fibrillation. J Am Coll Cardiol 2011;57:831–8. 47. Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the Euro Heart Survey on Atrial Fibrillation. Chest 2010;137:263–72. 48. Lane DA, Lip GY. Use of the CHA(2)DS(2)VASc and HAS-BLED scores to aid decision making for thromboprophylaxis in nonvalvular atrial fibrillation. Circulation 2012;126:860–5. 49. Healey JS, Connolly SJ, Gold MR, et al. Subclinical atrial fibrillation and the risk of stroke. N Engl J Med 2012;366:120–9. 50. Disertori M, Quintarelli S, Grasso M, et al. Autosomal recessive atrial dilated cardiomyopathy with standstill evolution associated with mutation of Natriuretic Peptide Precursor A. Circ Cardiovasc Genet 2013;6:27–36. 51. Spronk HM, De Jong AM, Verheule S, et al. Hypercoagulability causes atrial fibrosis and promotes atrial fibrillation. Eur Heart J 2017;38: 38–50. 52. Erdogan O. Risk assessment and therapy decision in patients at low risk for stroke: CHA2DS2VASc vs. CHADS2? Eur Heart J 2013;34:168–9. 53. Mackenzie J. Diseases of the Heart. 3rd edition. London, UK: Oxford Medical Publications, 1914. 54. Anter E, Jessup M, Callans DJ. Atrial fibrillation and heart failure: treatment considerations for a dual epidemic. Circulation 2009;119: 2516–25. 55. Kotecha D, Piccini JP. Atrial fibrillation in heart failure: what should we do? Eur Heart J 2015;36: 3250–7. 56. Stewart S, Hart CL, Hole DJ, McMurray JJ. A population-based study of the long-term risks associated with atrial fibrillation: 20-year followup of the Renfrew/Paisley study. Am J Med 2002;113:359–64. 57. Maisel WH, Stevenson LW. Atrial fibrillation in heart failure: epidemiology, pathophysiology, and rationale for therapy. Am J Cardiol 2003;91: 2D–8D. 58. Ehrlich JR, Nattel S, Hohnloser SH. Atrial fibrillation and congestive heart failure: specific considerations at the intersection of two common
801
802
Siebermair et al.
JACC: CLINICAL ELECTROPHYSIOLOGY VOL. 3, NO. 8, 2017 AUGUST 2017:791–802
Methodology and Clinical Implications of Atrial Fibrosis Imaging
and important cardiac disease sets. J Cardiovasc Electrophysiol 2002;13:399–405. 59. Nattel S, Burstein B, Dobrev D. Atrial remodeling and atrial fibrillation: mechanisms and implications. Circ Arrhythm Electrophysiol 2008;1: 62–73. 60. Wijesurendra RS, Liu A, Eichhorn C, et al. Lone atrial fibrillation is associated with impaired left ventricular energetics that persists despite successful catheter ablation. Circulation 2016;134: 1068–81. 61. Wakili R, Voigt N, Kaab S, Dobrev D, Nattel S. Recent advances in the molecular pathophysiology of atrial fibrillation. J Clin Invest 2011;121: 2955–68. 62. Akkaya M, Higuchi K, Koopmann M, et al. Higher degree of left atrial structural remodeling in patients with atrial fibrillation and left ventricular systolic dysfunction. J Cardiovasc Electrophysiol 2013;24:485–91. 63. Machino-Ohtsuka T, Seo Y, Ishizu T, et al. Significant improvement of left atrial and left atrial appendage function after catheter ablation for persistent atrial fibrillation. Circ J 2013;77: 1695–704. 64. Gelsomino S, Luca F, Rao CM, et al. Improvement of left atrial function and left atrial reverse remodeling after surgical treatment of atrial fibrillation. Ann Cardiothorac Surg 2014;3:70–4. 65. Gal P, Pacchia C, Morris A, et al. Ablation scar recovery is significantly stronger in atrial fibrillation free patients (abstr P258). Poster Session: “Best Abstracts”. Europace 2015;17 Suppl 3: iii20–9. 66. Badger TJ, Daccarett M, Akoum NW, et al. Evaluation of left atrial lesions after initial and repeat atrial fibrillation ablation: lessons learned from delayed-enhancement MRI in repeat ablation procedures. Circ Arrhythm Electrophysiol 2010;3: 249–59.
67. Kottkamp H. Human atrial fibrillation substrate: towards a specific fibrotic atrial cardiomyopathy. Eur Heart J 2013;34:2731–8.
remodeling with delayed-enhancement magnetic resonance imaging in patients with atrial fibrillation. Circulation 2009;119:1758–67.
68. Callans DJ, Ren JF, Michele J, Marchlinski FE, Dillon SM. Electroanatomic left ventricular mapping in the porcine model of healed anterior
76. Peters DC, Wylie JV, Hauser TH, et al. Recurrence of atrial fibrillation correlates with the extent of post-procedural late gadolinium
myocardial infarction. Correlation with intracardiac echocardiography and pathological analysis. Circulation 1999;100:1744–50.
enhancement: a pilot study. J Am Coll Cardiol Img 2009;2:308–16.
69. Jadidi AS, Cochet H, Shah AJ, et al. Inverse relationship between fractionated electrograms and atrial fibrosis in persistent atrial fibrillation combined magnetic resonance imaging and highdensity mapping. J Am Coll Cardiol 2013;62: 802–12. 70. Kirubakaran S, Chowdhury RA, Hall MC, Patel PM, Garratt CJ, Peters NS. Fractionation of electrograms is caused by colocalized conduction block and connexin disorganization in the absence of fibrosis as AF becomes persistent in the goat model. Heart Rhythm 2015;12:397–408. 71. Jais P, Shah DC, Haissaguerre M, et al. Mapping and ablation of left atrial flutters. Circulation 2000;101:2928–34. 72. Watanabe Y, Nakano Y, Hidaka T, et al. Mechanical and substrate abnormalities of the left atrium assessed by 3-dimensional speckletracking echocardiography and electroanatomic mapping system in patients with paroxysmal atrial fibrillation. Heart Rhythm 2015;12:490–7. 73. Goudis CA, Kallergis EM, Vardas PE. Extracellular matrix alterations in the atria: insights into the mechanisms and perpetuation of atrial fibrillation. Europace 2012;14:623–30.
77. Kuppahally SS, Akoum N, Burgon NS, et al. Left atrial strain and strain rate in patients with paroxysmal and persistent atrial fibrillation: relationship to left atrial structural remodeling detected by delayed-enhancement MRI. Circ Cardiovasc Imaging 2010;3:231–9. 78. McGann C, Kholmovski E, Blauer J, et al. Dark regions of no-reflow on late gadolinium enhancement magnetic resonance imaging result in scar formation after atrial fibrillation ablation. J Am Coll Cardiol 2011;58:177–85. 79. Parmar BR, Jarrett TR, Burgon NS, et al. Comparison of left atrial area marked ablated in electroanatomical maps with scar in MRI. J Cardiovasc Electrophysiol 2014;25:457–63. 80. Akoum N, Wilber D, Hindricks G, et al. MRI Assessment of ablation-induced scarring in atrial fibrillation: analysis from the DECAAF study. J Cardiovasc Electrophysiol 2015;26:473–80. 81. Chrispin J, Gucuk Ipek E, Zahid S, et al. Lack of regional association between atrial late gadolinium enhancement on cardiac magnetic resonance and atrial fibrillation rotors. Heart Rhythm 2016; 13:654–60. 82. Khurram IM, Habibi M, Gucuk Ipek E, et al. Left atrial LGE and arrhythmia recurrence following pulmonary vein isolation for paroxysmal and
74. Lin CS, Pan CH. Regulatory mechanisms of atrial fibrotic remodeling in atrial fibrillation. Cell Mol Life Sci 2008;65:1489–508.
persistent AF. J Am Coll Cardiol Img 2016;9:142–8.
75. Oakes RS, Badger TG, Kholmovski EG, et al. Detection and quantification of left atrial structural
KEY WORDS atrial fibrillation, atrial fibrosis, delayed enhancement, LGE-MRI