Alena Kollmann1, David Lohr1, Maya Bille1, Maxim Terekhov1, Michael Hock1, Ibrahim Elabyad1, Florian Schnitter2, Wolfgang Bauer1,2, Ulrich Hofmann2, and Laura Maria Schreiber1
1Chair of Molecular and Cellular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany, 2Department of Internal Medicine I, University Hospital Wuerzburg, Wuerzburg, Germany
Synopsis
Keywords: Myocardium, Ischemia
Late gadolinium enhancement (LGE) is
considered the gold standard for the quantification of scar size. We tested in
a large animal model of acute and chronic infarction if clinically used methods
for the assessment of infarct size (manual planimetry and several
semi-automatic approaches) in LGE images are applicable to preclinical 7T LGE
imaging of porcine hearts. We found excellent intra-observer reproducibility for
all methods. The tested semi-automatic methods performed differently on magnitude
(MAG) and phase-sensitive inversion recovery (PSIR) images. Overall, infarct
sizes measured in
in vivo scans showed good correlation to
ex vivo
LGE measurements.
Introduction
Ischemic heart disease is the leading
cause of death worldwide1 and myocardial
infarction (MI) as a potential complication is a common cause of heart failure.
Respective pathology is increasingly assessed using cardiac magnetic resonance (CMR) and late
gadolinium enhancement (LGE) is the gold
standard for infarct quantification.2 In order to increase
precision in quantification based on increased image resolution, CMR at ultra-high
field strengths (≥7T) has become an important research modality. Due to
limitations in the specific absorption rate and 7T not being CE-certified for
CMR, no clinical LGE studies have been performed at 7T in humans yet.
In a prior comprehensive preclinical large
animal study, where such limitations did not exist and LGE imaging was thus
included, we investigated the development of the LGE signal in MI from an acute
to a chronic stage.3 In this study we
aimed to assess the reproducibility and performance of different established
methods (manual and semi-automatic approaches) of infarct size quantification on
7T LGE images of porcine hearts.Methods
The large animal study was approved by
the District Government of Lower Franconia, Germany (55.2.2-2532.2-1134-16). MI
was induced by 90 min balloon catheter occlusion of the left anterior
descending artery in seven female German Landrace pigs. MRI measurements using
a 7T MAGNETOM™ Terra system (Siemens Healthineers, Erlangen, Germany) were
performed prior to MI and after infarct induction (3-4, 10-14 and ~60 days
after MI). Animals were euthanized after MRI 4. LGE images were acquired using
a gradient-echo sequence with TE: 3.18ms, TR: 49.52ms, and FA: optimal, and in-plane-resolutions: 0.7x0.7 mm2 (in vivo) and 0.4x0.4 mm2 (ex vivo). Both magnitude (MAG) and phase-sensitive
inversion recovery (PSIR) images were generated. Post-processing
of the MR images was done using the clinical software Medis Suite 3.1 (Medis
Medical Imaging Systems, Leiden, the Netherlands), following clinical
guidelines4. Infarct size (in percentage [%] and in mass [g]) was determined
using various methods: manual planimetry and several semi-automatic
methods (full width half maximum (FWHM) technique and standard deviation (n-SD)
technique for 3-SD, 5-SD and 7-SD). For all methods, manual delineation of the
endo- and epicardial border of the left ventricular myocardium was needed. Some
images required manual correction (exclusion of artefacts or wrongly included blood
pool areas). Coefficients of variability (CoV) were calculated as the standard
deviation of the difference divided by the mean of two measurements.
Intraclass-correlation coefficients (ICCs) were calculated and interpreted
according to Koo and Li (ICC<0.5: poor, ICC=0.5-0.75: moderate, ICC=0.75-0.9:
good, and ICC>0.9: excellent).5Results
Intra-observer analysis found ICCs
greater than 0.9 for all methods, and CoVs ranged from 3.9% to 22.3%.
Bland-Altman plots for intra-observer comparison showed excellent agreement for
different methods applied to PSIR images (Fig. 1).
Infarct size derived from manual
planimetry showed a significant difference when using MAG or PSIR images, with
MAG images underestimating the size by a mean of 3.3% and 2.8 g, respectively. The
different semi-automatic methods showed varying degrees of correlation to
manual analysis (see Fig. 2 and Fig. 3). For MAG images the FWHM
technique was underestimating and the 3-SD technique was overestimating. 5-SD
and 7-SD provided visually good infarct size estimation and were not
significantly different from manual analysis. For PSIR images the performance
of automatic methods varied. 7-SD clearly underestimated the infarct size,
while the other tested methods showed acceptable correlation with manual
planimetry (ICCs 0.70 - 0.81).
For the in vivo-ex vivo
comparison (Fig. 4), we found excellent correlation for PSIR images (infarct
size [%]: ICC 0.94, infarct size [g]: ICC 0.93) and a moderate to excellent correlation
for MAG images (infarct size [%]: ICC 0.55, infarct size [g]: ICC 0.90) due to
an underestimation of infarct size [%] in the in vivo MAG scans.
Bland-Altman plots for in vivo vs ex vivo comparison of scar size [% / g]
derived from manual planimetry of PSIR images showed excellent agreement (Fig.
4C). For PSIR images, the difference between in vivo and ex vivo
infarct size was not statistically significant (α-level of 0.05, p-values:
p=0.08 for infarct size in % and p=0.2 for infarct size in g).Discussion
The data show excellent intra-observer
reproducibility for all tested methods of scar size quantification. ICCs for
intra-observer variability range from 0.91 to 0.99 and are in line with or
higher than what has been reported in large animals [reference: ICC 0.82 - 0.96]6,7. Infarct size
underestimation in MAG compared to PSIR is significant and may be due to the
low blood-scar contrast in some scans, which makes it difficult to delineate endocardial
border and blood pool.
Since blood-scar contrast was better
in ex vivo images than in in vivo
images, the underestimation (in vivo
MAG versus ex vivo MAG) may have
similar reasons. Inferior image quality in some of the n=7 MAG in
vivo scans (MRI 4) should also be considered. In addition, with n=7,
the sample size in in vivo versus ex vivo comparison is rather small,
which limits statistical power.
We demonstrate that reproducible
quantification of infarct sizes in 7T large animal studies can be achieved
using both manual planimetry and selected semi-automatic methods. The threshold
for semi-automatic methods should be chosen with respect to the image type (MAG
or PSIR). Acknowledgements
Financial support: German Ministry of
Education and Research (BMBF, grant: 01E1O1504).
L. M. Schreiber receives research support
by Siemens Healthineers. The position of D. Lohr is partially funded by this
research support.
Parts of this work will be used in the
doctoral thesis of A. Kollmann.
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