Imaging and Modeling in Atrial Fibrillationmacleod/talks/NHLBI-VCU-MacLeod.pdf · dent’s t-test...
Transcript of Imaging and Modeling in Atrial Fibrillationmacleod/talks/NHLBI-VCU-MacLeod.pdf · dent’s t-test...
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Imaging and Modeling in Atrial Fibrillation:
Rob MacLeod, University of UtahCARMA Center, SCI Institute, CVRTI
Bioengineering Department
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CARMA
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What is Atrial Fibrillation?= Afib = AF
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Normal Contraction Atrial Fibrillation
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Miyasaka et al. Circulation. 2006;114:119-125.
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2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
5.1
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10.311.1
14.315.2
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11.7 12.1
Proj
ecte
d N
umbe
r of
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sons
W
ith A
F (m
illio
ns)
Year
Current age-adjusted AF incidence
Increased age-adjusted AF incidence
AF Prevalence
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We All Get Older
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<55 55-59 60-64 65-69 70-74 75-79 80-84 >85
11.110.3
7.3
5.0
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1.70.9
0.2
9.1
7.2
5.0
3.4
1.71.0
0.40.1
Prev
alen
ce (%
)
Age (years)
Women (n=7,801)Men (n=10,173)
Go AS, et al. JAMA. 2001;285:2370-2375.
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So What?
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20% of Strokes
$20 billion/year
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What Causes AFib?
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Substrate
Trigger+
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Subsrate:Fibrosis
Shinagawa K, .... Nattel S. Circ. 2002: 2672-2678.Lee KW, et al. Circ. 2006: 1703-1712.
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Complex Propagation
de Groot, .... Allessie MA. Circ. 2010: 1674-1682.
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LAA
PV
PVLA
Substrate: Extension of muscle sleeves
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*
PulmonaryVeins
Left Atrium
Triggers
**
*
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Nervous System
Dewire et. al. Nat. Rev. Cardiol., 2010: 129–138.
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Clinical Result
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Clinical Result
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Treatment?
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Catheter Ablation
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Electroanatomical Mapping
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Imaging?
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MR Angiography
Pre First Pass Subtraction
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Dark Blood MRI
Ao
LA
2.5mm
RIPV
Ao
LA6.1mm
RIPV
Ao
LA2.3mm
RIPV
Pre-treatment
24 Hrs Post
3 Months Post
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Late Gadolinium Enhancement
Pre-treatment 3 month Post
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Evaluation
Patient Workflow
Treatment Followup
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Fibrosis and Outcome EvaluationPseudo-color
Normal
Low-voltageEnhanced(fibrosis?)
Pseudo-color
Normal
Low-voltageEnhanced(fibrosis?)
Electroanatomical Map
Electroanatomical Map
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Utah Scoring Scheme Evaluation
Akoum et al. J Cardiovasc Electrophysiol, 22:16-22, 2011
< 5% 5-20%
20-35% > 35%
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Fibrosis Imaging Evaluation
Pixel IntensityFr
eque
ncy
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Corview Evaluation
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Corview Evaluation
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Evaluation
Patient Workflow
Treatment Followup
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Ablation Guidance Treatment
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Real Time MRI Treatment
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Real Time MRI Treatment
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Experiments! Treatment
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Experiments!
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Real Time MRI
March, 2011
Treatment
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Evaluation
Patient Workflow
Treatment Followup
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EAM vs. MRI Followup
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Repeat AblationIncomplete Isolation
Complete Isolation
Patient 1
First PVAI - Posterior Left
Second PVAI - Posterior Left
Incomplete Isolation
Complete Isolation
Patient 2
First PVAI - Posterior Left
Second PVAI - Posterior Left
McGann et al. JACC,52(15): 1263-1272, 2008
Followup
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Predicting Success Followup
LGE (pre) T2w (<1hr) LGE (<1 hr) LGE (3 mo)
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Evaluation
Open Challenges
Treatment Followup
Image qualitySignal Acq./Proc.
LA Segmentation
Fibrosis Detection Scar DetectionLesion Imaging
Case Simulation
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Animal Models of AFib
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Utah Cooperative Arrhythmia Program
UCAP
Development of chronic AF animal model
DE-MRI of structural changes
Serum markers of
inflammation
MRI analysis and fibrosis
quantificationPathology and
histology of fibrosis
Electro-physiological
studies
UCAIR, Radiology
SCI
Clinical EP, Cardiology
Utah State University
Hematology
Pathology
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Modeling and Simulations
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18 Journal of Cardiovascular Electrophysiology Vol. 22, No. 1, January 2011
Figure 1. A series of left atrial MRI 3D reconstructions displayed in the RAO and PA projections illustrating areas of fibrosis (bright green) across the 4stages of fibrosis. Utah stage 1: <5% fibrosis, Utah stage 2: 5–20% fibrosis, Utah stage 3: 20–25% fibrosis, Utah stage 4: >35% fibrosis.
Data Analysis
Statistical analysis was performed using STATA 11 (Stata-Corp, College Station, TX, USA). Continuous variables arereported as means and standard deviations and categoricalvariables are reported as percentages of the cohort. Stu-dent’s t-test was used to compare continuous variables andChi-square test to compare proportions. A Cox proportionalhazard multivariate regression model was used to determinesignificant predictors of AF recurrence following ablation.To avoid overfitting, nonsignificant predictor variables wereremoved from the regression model in a stepwise fashion.Two-sided P-values <0.05 were considered significant.
Results
Pre-Ablation Fibrosis/Structural Remodeling BasedStaging
DE-MRI scans were of adequate quality to obtain quan-tification of pre-ablation SRM in 120 of the 144 total patient
TABLE 1Characteristics of 120 Patients with Preablation Quantification of Left Atrial Fibrosis
Utah Stage 1 Utah Stage 2 Utah Stage 3 Utah Stage 4(<5%) (5–20%) (20–35%) (>35%)
(N = 10) (N = 71) (N = 23) (N = 16) P-value
Age (years) 58 ± 14 62 ± 13 67 ± 13 68 ± 8 nsHTN (%) 50.0 53.5 56.5 43.8 nsDiabetes (%) 10 7.0 21.7 6.3 nsCoronary disease (%) 30 12.7 13.0 18.8 nsCHF (%) 10 5.6 4.3 12.5 nsLV EF (%) 57.2 ± 3.5 51.8 ± 9.5 49.7 ± 11.4 44.8 ± 13.2 nsParoxysmal/persistent AF (%) 60/40 45/55 35/65 25/75 ns
ns = nonsignificant.
cohort (85%). Motion artifact often due to AF at the time ofMRI acquisition was the main contributing factor for poorscans quality.
Of the 120 patients successfully quantified, the averagepre-ablation fibrosis was 18.06 ± 13.49% of the LA wallvolume. These patients were then divided into 4 categoriesas follows: Utah stage 1 or minimal fibrosis (at least 1 stan-dard deviation below the cohort mean, i.e., <5% enhance-ment), Utah stage 2 or mild fibrosis (5–20% enhancement),Utah stage 3 or moderate fibrosis (20–35% enhancement)and Utah stage 4 or extensive fibrosis (greater than 35% en-hancement). Figure 1 shows examples of patients in each ofthese stages. Of the patients with successful quantification,10 (7%) were in Utah stage 1, 71 (49%) in Utah stage 2, 23(16%) in Utah stage 3 and 16 (11%) in Utah stage 4. Age at thetime of initial MRI acquisition, prevalence of hypertension,coronary artery disease, congestive heart failure, diabetesand left ventricular ejection fraction were comparable acrossthe 4 groups. The patients’ characteristics are detailed inTable 1.
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