Oliver Gaemperli1, Victoria Delgado2, Gilbert Habib3, Philipp A Kaufmann4, Jeroen J Bax5. 1. Cardiac Imaging, University Heart Center, Zurich, Switzerland. 2. Heart Lung Centrum, Leiden University Medical Center, Albinusdreef 2, RC Leiden, 2300, The Netherlands. 3. Service de Cardiologie, C.H.U. De La Timone, Bd Jean Moulin, Marseille, France. 4. Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland. 5. Heart Lung Centrum, Leiden University Medical Center, Albinusdreef 2, RC Leiden, 2300, The Netherlands j.j.bax@lumc.nl.
Prognostic implications of several non-invasive imaging techniques have been the
focus of some landmark studies published in 2015. Non-invasive characterization of
atherosclerosis processes and vulnerable plaques have been possible with advances in
cardiac magnetic resonance imaging and nuclear imaging techniques. In addition,
3-dimensional echocardiography and multidetector-row computed tomography have
improved our understanding of valvular heart disease. Finally, data on the clinical
role of integration of non-invasive imaging techniques (fusion imaging) are
accumulating and its use is expected to increase in the coming years. The current
review provides a summary of selected articles on prognostic impact of current
non-invasive imaging techniques and technological innovations.
Echocardiography
In 2015, the new recommendations for cardiac chamber quantification using
echocardiography in adults were published providing updated normative values for
all four cardiac chambers based on multiple databases compiling data from a
large number of normal subjects.[1] In addition, this position document includes reference
values for chamber quantification with three-dimensional (3D) echocardiography
and myocardial deformation with strain imaging. These normative data permit
differentiation between normal and abnormal findings. From a clinical
perspective however, definition of the degree of abnormality (mild, moderate, or
severe) may be more meaningful. The document acknowledges the difficulties to
determine cut-off values that define the degree of abnormality and provides
experience-based partition values only for left ventricular (LV) size, function
and mass, and for left atrial (LA) volume.Data showing the prognostic value of LV global longitudinal strain (GLS) are
accumulating. A recent meta-analysis pooling data from 16 studies (n = 5721),
encompassing different cardiac diseases [heart failure, acute myocardial
infarction (MI), and valvular heart disease among others], showed that the
prognostic value of LV GLS exceeds that of LV ejection fraction (EF).[2] On multivariable analysis, each
1 standard deviation (SD) change in LV GS was independently associated with
all-cause mortality (hazard ratio, HR 0.50; 95% CI 0.36-0.69) compared with LVEF
(HR 0.81; 95% CI 0.72-0.92), indicating that the HR per each 1 SD change in LV
GLS was 1.62 times greater than that of LVEF (95% CI 1.13-2.33; p = 0.009). In
patients with MI, regional LV longitudinal strain may clinically be more
meaningful than GLS. A subanalysis of the VALIANT (Valsartan in Acute Myocardial
Infarction Trial) trial including 248 patients with LV systolic dysfunction,
heart failure, or both demonstrated that regional LV longitudinal strain was
significantly impaired even in segments with normal wall motion score index
compared with healthy controls (−10.4 ± 5.2% vs. −20.0 ± 7.6, p
< 0.001).[3] Abnormal
longitudinal strain segments were defined as having a strain value higher (less
negative) than the 95% percentile of corresponding normal control segments. An
increasing number of LV segments with abnormal regional strain was associated
with an increased risk of all-cause mortality (HR 1.42; 95% CI 1.06-1.90, p <
0.001).Echocardiographic assessment of heart failurepatients who are candidates for
cardiac resynchronization therapy (CRT) remains of interest. Results of the
EchoCRT (CRT in heart failure with narrow QRS complex) substudy showed that 77%
of the 614 patients with echocardiographic follow-up at 6 months had persistent
or worsened LV dyssynchrony (≥130 ms as measured with STE or ≥80
ms using tissue Doppler imaging).[4] The presence of persistent or worsened LV dyssynchrony was
associated with increased risk of all-cause mortality and heart failure
hospitalization (HR 1.54, 95% CI 1.03-2.3; p = 0.02). These results were also
observed in the large multicentre registry PREDICT-CRT.[5] Left ventricular apical rocking
and septal flash visualized on echocardiography are markers of left bundle
branch block-induced LV dyssynchrony. In 1060 patients treated with CRT,
correction of apical rocking and septal flash at 6-12 months echocardiography
was associated with LV reverse remodelling and better survival at long-term
follow-up. In contrast, patients who still exhibited LV apical rocking or septal
flash at follow-up showed less LV reverse remodelling and worse outcome.The prognostic value of right ventricular (RV) function was also evaluated in
several studies.[6,7] In 96 patients with heart
failure with preserved LVEF and 46 controls who underwent clinically indicated
right-sided heart catheterization and transthoracic echocardiography, Melenovsky
and coworkers showed that male gender, LVEF, atrial fibrillation, coronary
artery disease (CAD), and systemic systolic blood pressure were independently
associated with RV dysfunction (defined as RV fractional area change <35%)
after adjusting for RV pulmonary arterial pressures.[6] Patients with RV dysfunction showed lower 2-year
survival compared with patients without (56 vs. 93%). Right ventricular
dysfunction was the strongest associate of all-cause mortality in a model
corrected for systolic pulmonary artery pressure (HR 2.2; 95% CI 1.4-3.5; p =
0.001). Advances in 3D strain imaging have allowed characterization of RV
remodelling in patients with pulmonary hypertension.[7] Right ventricular morphological and functional
data of 92 patients with pulmonary hypertension were analysed with novel 3D
motion tracking echocardiography. Based on pressure-volume loops obtained during
right-sided heart catheterization, patients were divided into three groups: RV
adapted, RV adapated-remodelled, and RV adverse-remodelled. A progressive
impairment in RVEF and global area strain was observed across the three groups
with the RV adverse-remodelled group having the worst values. Patients within
the RV adapted group showed better 6-month free-survival from hospitalization,
death, or lung transplantation compared with the other groups (HR 0.15; 95% CI
0.07-0.3; p < 0.001), whereas patients within the RV adverse-remodelled group
showed the worst outcome (HR 2.2; 95% CI 0.91-5.39, p = 0.004).Three-dimensional echocardiography is increasingly used in heart valve disease.
Debonnaire and coworkers demonstrated that 3D transoesophageal echocardiography
could adequately depict mitral valve leaflet remodelling in patients with LV
dysfunction and functional mitral regurgitation (MR).[8] Insufficient leaflet remodelling relative to
annular and LV dilatation resulted in reduced coaptation, which was
independently associated with MR severity in patients with functional MR. Figure 1 illustrates different examples of
mitral valve leaflet remodelling in patients with functional MR and patients
without MR. Clavel et al. used 3D transoesophageal echocardiography to evaluate
49 patients with degenerative mitral valve disease.[9] The authors demonstrated important differences
in LV remodelling, annular, and valvular dimensions, associated with differences
in MR severity between patients with fibro-elastic deficiency and diffuse
myxomatous degeneration.
Figure 1
Examples of mitral valve leaflet remodelling using 3D
transoesophageal echocardiography. (A) Example of an individual
without functional mitral regurgitation. (B) Examples of two
patients with mild (B) and severe functional mitral regurgitation
(C), both secondary to inferior infarction. Note the larger mitral
valve area (MVA) as well as the coaptation area to MVA ratio in the
patient with mild vs. the patient with severe functional mitral
regurgitation. A: anterior; AL: anterolateral; Ao: aorta; P:
posterior; PM: posteromedial. Reproduced with permission from
Debonnaire et al.8 This Figure has been reprinted by permission of
Oxford University Press on behalf of the European Society of
Cardiology.
Examples of mitral valve leaflet remodelling using 3D
transoesophageal echocardiography. (A) Example of an individual
without functional mitral regurgitation. (B) Examples of two
patients with mild (B) and severe functional mitral regurgitation
(C), both secondary to inferior infarction. Note the larger mitral
valve area (MVA) as well as the coaptation area to MVA ratio in the
patient with mild vs. the patient with severe functional mitral
regurgitation. A: anterior; AL: anterolateral; Ao: aorta; P:
posterior; PM: posteromedial. Reproduced with permission from
Debonnaire et al.8 This Figure has been reprinted by permission of
Oxford University Press on behalf of the European Society of
Cardiology.Finally, the incremental value of quantification of tricuspid regurgitation (TR)
to predict survival was demonstrated by Topilsky et al.[10] In 353 patients with various
degrees of isolated functional TR, the effective regurgitant orifice area (EROA)
was calculated with the proximal flow convergence method. An EROA ≥40
mm2 defined severe TR and was observed in 40% of patients. During
a mean follow-up of 5.8 years, 82 patients died. An EROA ≥40
mm2 was independently associated with all-cause mortality (HR
2.95; 95% CI 1.67-5.19; p < 0.001) after adjusting for clinical
characteristics, LVEF, RV size, RV function, and RV systolic pressure.
Computed tomography
Very long-term prognostic data for coronary artery calcium score (CACS) were
published by Valenti and coworkers in 9715 asymptomatic subjects followed for
14.6 years: CACS emerged as the strongest predictor of death, and was
independent from Framingham risk score (FRS) or National Cholesterol Education
Program Adult Treatment Panel III risk category.[11] A CACS = 0 was associated with an invariably
low death rate of 4.7% (i.e. 0.3%/year on average), and thereby extends the
warranty period of zero CACS over a period of almost 15 years, particularly in
low and intermediate risk patients, and regardless of gender. In a recent
publication from the COronary CT Angiography EvaluatioN For Clinical Outcomes:
An InteRnational Multicenter registry, investigators observed in 3217
asymptomatic subjects that CT coronary angiography (CTCA) possessed incremental
prognostic value over FRS only in patients with a CACS >100 (net
reclassification improvement 0.62, p < 0.001), but not among those with CACS
≤100.[12]
However, in high and very high CACS subgroups (i.e. >400 and >1000), the
incremental value of CTCA was lost again, probably through less reliable CTCA
interpretation. However, conclusions in these subgroups were limited due to low
sample sizes and event rates.The Coronary computed tomography angiography (CTA) vascular events in non-cardiac
surgery patients cohort evaluation (VISION) study assessed the value of CTCA for
predicting the risk of cardiovascular complications of non-cardiac
surgery.[13] A total of
955 patients with vascular risk factors were included, of which 74 (8%) suffered
a perioperative event (cardiovascular death/MI). Computed tomography coronary
angiography findings provided independent prognostic information over revised
cardiac risk indices with increasing HRs for non-obstructive (HR 1.51, p =
0.30), obstructive (HR 2.05, p = 0.076), and extensive obstructive (HR 3.76, p
< 0.001) disease. However, the c-index increased only from 0.62 to 0.66 when
adding CTCA to the clinical risk prediction models, mostly because of
reclassification of a sizable number of patients (~10%) into a higher-risk
category who would not suffer any subsequent event. Thus, the results of the
coronary CTA VISION raise concerns about overestimation of risk by CTCA compared
with clinical risk indices.The diagnostic yield of CT for triple rule-out (TRO) of MI, pulmonary embolism
(PE), and aortic dissection (AD) in patients with acute chest pain is a debated
issue, and was investigated in the Advanced Cardiovascular Imaging Consortium
database in 12 834 patients.[14]
The overall diagnostic yield was similar for TRO CT compared with CTCA only
(17.4 vs. 18.3%; P = 0.37) and was driven mainly by CAD detection (15.5 vs.
17.2%, p = 0.093); TRO CT, however, yielded slightly more PE (1.1 vs. 0.4%; p =
0.004) and AD (1.7 vs. 1.1%; p = 0.046) diagnoses, although at a higher median
radiation (9.1 vs. 6.2 mSv; p < 0.0001) and mean contrast dose (113 ±
6 vs. 89 ± 17 mL; p < 0.0001), and higher non-diagnostic image quality
rate (9.4 vs. 6.5%; p < 0.0001). Thus, although TRO CT may be useful in
selected patients (after careful consideration of individual MI/PE/AD risks),
the study does not support its indiscriminate use in emergency departments.The results of two large randomized CT studies were eagerly awaited in 2015: in
the prospective multicenter imaging study for evaluation of chest pain trial, 10
003 symptomatic patients with intermediate CAD pretest probability were
randomized to a strategy of initial anatomical testing with CTCA vs. traditional
functional testing (67% stress nuclear, 23% stress echocardiography, and 10%
exercise ECG).[15] At 25 months
follow-up, there were no differences in the primary endpoint of death, MI,
hospitalization for unstable angina, or major procedural complications. However,
CTCA resulted in fewer catheterizations showing no obstructive CAD (3.4 vs.
4.3%, p = 0.02), although more patients in the CTCA group underwent
catheterization (12.2 vs. 8.1%) and were revascularized (6.2 vs. 3.2%, p <
0.001) within 90 days of randomization. The Scottish COmputed Tomography of the
HEART trial randomized 4146 patients to standard care (SC) (including clinical
assessment and exercise ECG) plus CACS and CTCA vs. SC alone.[16] The use of CTCA increased
diagnostic certainty [relative risk (RR) 1.79; p < 0.001) for the primary
endpoint of angina due to CAD, resulted in cancellation of 121 functional tests
and 29 invasive angiograms, and more changes in preventive and antianginal drug
therapies. At follow-up of 1.7 years, there was a numerical (although not
significant) 38% reduction of the composite endpoint of CAD death/MI in the CTCA
group (p = 0.053).Computed tomography-derived fractional flow reserve (FFRCT) continues
to raise interest in 2015 through its latest publication, the Prospective
LongitudinAl Trial of FFRct: Outcome and Resource IMpacts study.[17] In this trial, 584 symptomatic
patients with intermediate CAD pretest probability were prospectively (but not
randomly) assigned to receive either usual testing (n = 287, i.e. non-invasive
testing or invasive coronary angiography, ICA) or CTCA (n = 297) with additional
FFRCT where requested. Among those with intended ICA (n = 380),
FFRCT resulted in a significant reduction in the number of
invasive catheterizations showing no obstructive CAD (from 73 to 12%) and
avoided ICA in 117 (61%) patients, while no differences were noted in the group
of patients with intended non-invasive testing (Figure 2). Although the PLATFORM study was not randomized, it
provides a contemporary snapshot of the current use of diagnostic 'platforms'
for CAD work-up, and suggests overuse of ICA in intermediate probability
patients which could be reduced by wider use of FFRCT. Interestingly,
the recently published PLATFORM substudy demonstrated that the use of
FFRCT was associated with $3391 costs reduction compared with
ICA, whereas differences in downstream costs between FFRCTstrategy
and usual care (non-invasive testing) were not significant ($7047 vs. $8422,
respectively).[18]
However, in the non-invasive arm, patients undergoing FFRCT showed
better scores on quality-of-life questionnaires compared with patients
undergoing usual care, whereas in the invasive arm, there were no differences
between FFRCT and ICA.
Figure 2
The PLATFORM (Prospective LongitudinAl Trial of FFRct: Outcome and
Resource IMpacts) study compared FFRCT as gatekeeper for invasive
coronary angiography with direct angiography (right panel), as well
as FFRCT vs. routine non-invasive testing as gatekeeper for invasive
angiography (left panel). In the patients with planned invasive
coronary angiography (right panel), the use of FFRCT as gatekeeper
avoided invasive coronary angiography in 61%, and reduced the
percentage of non-obstructive coronary artery lesions from 73 to
12%, whereas there were no differences in percentage of
non-obstructive lesions on invasive angiography in the patients
undergoing planned non-invasive testing (left panel). NI:
non-invasive; ICA: invasive coronary angiography; Obs CAD:
obstructive coronary artery disease; FFRCT: computation of
fractional flow reserve from coronary computed tomographic
angiography data. Reprinted from Douglas et al.17 This Figure has
been reprinted by permission of Oxford University Press on behalf of
the European Society of Cardiology.
The PLATFORM (Prospective LongitudinAl Trial of FFRct: Outcome and
Resource IMpacts) study compared FFRCT as gatekeeper for invasive
coronary angiography with direct angiography (right panel), as well
as FFRCT vs. routine non-invasive testing as gatekeeper for invasive
angiography (left panel). In the patients with planned invasive
coronary angiography (right panel), the use of FFRCT as gatekeeper
avoided invasive coronary angiography in 61%, and reduced the
percentage of non-obstructive coronary artery lesions from 73 to
12%, whereas there were no differences in percentage of
non-obstructive lesions on invasive angiography in the patients
undergoing planned non-invasive testing (left panel). NI:
non-invasive; ICA: invasive coronary angiography; Obs CAD:
obstructive coronary artery disease; FFRCT: computation of
fractional flow reserve from coronary computed tomographic
angiography data. Reprinted from Douglas et al.17 This Figure has
been reprinted by permission of Oxford University Press on behalf of
the European Society of Cardiology.
Cardiac magnetic resonance
Characterization of coronary artery plaques with non-contrast T1-weighted
magnetic resonance imaging (MRI) has provided novel insights into the
pathophysiology of percutaneous coronary intervention (PCI)-related myocardial
injury, a procedural complication which has important prognostic
implications.[19]
Seventy-seven patients with stable angina and significant coronary artery
lesions (>70% stenosis on invasive angiography) underwent 1.5T MRI 48 h prior
to PCI and coronary plaque composition was assessed with non-contrast
T1-weighted MRI. High-intensity plaques (considered vulnerable plaques) were
defined by a 'coronary plaque to myocardium signal intensity' ratio of
≥1.4. Percutaneous coronary intervention-related myocardial injury was
defined as an increased high-sensitivity cardiac troponin T >5 times the 99th
percentile upper reference limit. Patients with high-intensity plaques (n = 31)
showed greater plaque burden, larger lipid pool, more frequently positive
remodelling, ultrasound attenuation, and intracoronary thrombus on intravascular
ultrasound analysis, compared with patients without high-intensity plaques
(Figure 3). Importantly, the presence
of high-intensity plaques was associated with higher frequency of PCI-related
myocardial injury (58 vs. 11%, p < 0.001). How this information may influence
the decision making and interventional strategy needs further study.[20]
Figure 3
Coronary artery plaque characteristics assessed with non-contrast
T1-weighted cardiac magnetic resonance (CMR) imaging. (A) A
significant stenosis of the mid-right coronary artery (on invasive
angiography). On non-contrast T1-weighted CMR (upper left corner), a
high-intensity plaque can be observed (plaque to myocardium
intensity ratio of 3.09) which shows attenuation and lipid-rich
composition on intravascular ultrasound. (B) A significant stenosis
of the distal right coronary artery and non-high-intensity plaque on
CMR. Intravascular ultrasound with virtual histology shows a fibrous
plaque. Reproduced with permission from Hoshi et al.19 This Figure
has been reprinted by permission of Oxford University Press on
behalf of the European Society of Cardiology.
Coronary artery plaque characteristics assessed with non-contrast
T1-weighted cardiac magnetic resonance (CMR) imaging. (A) A
significant stenosis of the mid-right coronary artery (on invasive
angiography). On non-contrast T1-weighted CMR (upper left corner), a
high-intensity plaque can be observed (plaque to myocardium
intensity ratio of 3.09) which shows attenuation and lipid-rich
composition on intravascular ultrasound. (B) A significant stenosis
of the distal right coronary artery and non-high-intensity plaque on
CMR. Intravascular ultrasound with virtual histology shows a fibrous
plaque. Reproduced with permission from Hoshi et al.19 This Figure
has been reprinted by permission of Oxford University Press on
behalf of the European Society of Cardiology.In survivors of ST-segment elevation acute MI (STEMI), assessment of infarct size
and microvascular obstruction with contrast-enhanced CMR has important
prognostic value. Interestingly, non-contrast CMR-derived parameters such as
native T1 mapping permit characterization of the infarct core tissue. After MI,
there is an increase in water content in the ischaemic area that will result in
longer native T1 times. Carrick and coworkers investigated in 300 survivors of
STEMI, the correlation between native T1 time of the infarct core, infarct size
and microvascular obstruction and the prognostic implications of native T1 time
in terms of LV adverse remodelling (≥ 20% increase in end-diastolic
volume at 6 months follow-up), all-cause mortality and heart failure
hospitalization.[21]
Patients underwent cine CMR, native T1 mapping, T2 mapping, T2* mapping and late
gadolinium contrast-enhanced (LGE) sequences 2 days after index MI and at 6
months follow-up. Native T1 times were measured in the infarct zone, injured
myocardium, and remote myocardium. The infarct zone region was defined as
myocardium with pixel values (T1 or T2) >2 SD from the remote zone on
T2-weighted CMR sequences. The hypo-intense infarct core was defined as areas
within the infarct zone with pixel T1 values <2 SD of the values observed in
periphery of the infarct zone. Infarct core native T1 was significantly
associated with native T2 (r = 0.42, p < 0.001). Native T1 values within the
infarct core were associated with LV adverse remodelling at 6 months follow-up
(odds ratio 0.91 per each 10 ms reduction, p = 0.061) and were independent
predictors of all-cause mortality or heart failure hospitalization (HR 0.73, p
< 0.001).Several CMR-derived variables have been used to define and quantify the presence
of myocardial fibrosis (focal or diffuse). While focal macroscopic fibrosis is
commonly assessed with LGE CMR, diffuse fibrosis can be characterized by
calculating the extracellular volume (ECV), after primed contrast infusion or
administration of bolus of gadolinium, post-contrast T1-mapping values and
pre-contrast (native) T1-mapping values. In addition, changes in T1-weighted
LGE-signal intensity have been associated with myocardial injury. These measures
have been correlated with LV function and prognosis in several cardiac
diseases.[22-26] In 65 patients who underwent
potentially cardiotoxic chemotherapy, LVEF decreased significantly after 3
months of therapy (from 57 ± 1 to 54 ± 1%, p < 0.001) while
myocardial T1-weighted LGE-signal intensity increased (from 14.1 ± 0.6to
15.9 ± 0.8, p = 0.046) without an increase in myocardial oedema on
T2-weighted CMR sequences.[22]
Whether these changes may predict irreversible myocardial damage after
withdrawal of chemotherapy, remains unknown. The presence of subclinical diffuse
myocardial fibrosis was evaluated measuring the ECV in 35 patients with
asymptomatic moderate and severe primary MR and preserved LVEF.[23] Compared with controls,
patients with MR exhibited larger ECV (0.32 ± 0.07 vs. 0.25 ±
0.02, p < 0.01). Increasing myocardial ECV was significantly associated with
larger LV end-systolic volume index (r = 0.62, p < 0.001) and left atrial
volume index (r = 0.41, p < 0.05), lower LVEF (r = −0.6, p < 0.001) and
worse functional capacity as measured with peak oxygen consumption (r = −0.51, p
< 0.005). In 139 patients with hypertrophic cardiomyopathy (HCM), Ellims et
al. investigated the correlations of macroscopic myocardial fibrosis (assessed
with LGE CMR) and diffuse myocardial fibrosis (assessed with post-contrast T1
mapping) with LV function and genotype.[24] The presence of LGE was associated with LVEF and
presence of LV outflow tract obstruction whereas shorter post-contrast
T1-mapping values (more diffuse fibrosis) were significantly associated with LV
diastolic dysfunction and dyspnoea symptoms. Interestingly, patients with
identifiable HCM genetic mutations showed larger extent of LGE (7.9 ± 8.6
vs. 3.1 ± 4.3%, p = 0.03) but longer post-contrast T1-mapping values (498
± 81 vs. 451 ± 70 ms, p = 0.03) compared with patients without
mutations. Using LGE CMR, Nadel et al. investigated in 106 patients with
biopsy-proven extracardiac or cardiac sarcoidosis the association between the
presence of focal macroscopic fibrosis and occurrence of the composite endpoint
all-cause mortality, sudden cardiac death, ventricular tachycarrhyhtmia or
ventricular fibrillation.[25]
Thirty-two (30%) patients showed focal myocardial fibrosis on LGE CMR which was
of patchy distribution in the majority of patients (72%) followed by
subepicardial (59%) and midwall (25%) distribution. During a mean follow-up of
37 months, 16 patients reached this composite endpoint. The presence of focal
myocardial fibrosis on LGE CMR was independently associated with the composite
endpoint (HR 12.52, 95% CI 1.35-116.18, p = 0.03). In 100 patients with systemic
light-chain amyloidosis, Banypersad and coworkers evaluated the prognostic value
of ECV, pre-contrast (native), and post-contrast T1 values.[26] During a median follow-up of
23 months, 25% of patients died. A cut-off value of ECV ≥0.45 (HR 3.84,
95% CI 1.53-9.61, p = 0.004) and a cut-off value of native T1 time ≥1044
ms (HR 5.39, 95% CI 1.24-23.4, p = 0.02) were independently associated with
all-cause mortality, whereas post-contrast T1 mapping values were not predictive
of mortality.
Nuclear imaging
In patients with cardiovascular risk factors, characterization of inflammation
and lipid accumulation in the arterial wall using nuclear imaging has been the
target of several studies.[27,28] Van der Falk et al. aimed at
assessing the role of leukocytes in atherogenesis by performing single photon
emission computed tomography (SPECT)-CT with 99mTechnetium-labeled
peripheral blood mononuclear cells (PBMC).[27] In 10 patients with known cardiovascular disease and 5
healthy controls, a markedly enhanced accumulation of PBMC was found in patients
with advanced atherosclerotic lesions. This represents a novel-imaging approach
to visualize leukocyte migration and PBMC accumulation to atherosclerosis in
humans, potentially lending support to strategies aimed at attenuating leukocyte
recruitment as a therapeutic target in patients with cardiovascular disease. Van
Wik et al. demonstrated that lipoprotein apheresis leads to a marked reduction
of arterial wall inflammation in patients with familial hypercholesterolaemia
(FH) characterized by severely elevated plasma low-density lipoprotein
cholesterol levels.[28]
18-F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) was used to
assess the target-to-background ratio (TBR) of FDG uptake within the arterial
wall in 24 patients with known FH and in 14 normolipidemic controls. A second
PET scan was acquired after 3 days in 12 patients in whom lipoprotein apheresis
was performed and demonstrated a significant reduction of TBR compared with the
baseline scan (2.05 ± 0.31 vs. 1.91 ± 0.33; p < 0.02). These
suggest that apoprotein B-containing lipoproteins play a role in arterial wall
inflammation and support the concept of a beneficial effect of lipoprotein
apheresis.In addition, Moon et al. sought to investigate the added prognostic value of
FDG-PET over the FRS and carotid intima-media thickness (CIMT) for the
prediction of future cardio-cerebrovascular events.[29] Carotid FDG uptake and CIMT were measured in
1089 asymptomatic adults who underwent PET imaging. Cardio-cerebrovascular
events occurred in 19 participants (1.74%) during an average follow-up of 4.2
years. Multivariate Cox regression analysis revealed that high carotid FDG
uptake (HR 2.98; 95% CI 1.17-7.62; p = 0.022) and high CIMT (HR 2.82; 95% CI
1.13-7.03; p = 0.026) were independent predictors of these events. Furthermore,
carotid FDG uptake improved discrimination of risk prediction when added to the
FRS independently CIMT.In patients with suspected acute coronary syndrome and negative cardiac
biomarkers routine exercise testing is recommended by current
guidelines.[30] Little
is known on the potential role of nuclear myocardial perfusion imaging (MPI) in
this context. Cremer et al. reported on the yield of SPECT-MPI for detecting
ischaemia, its prognostic value for short-term events, and its impact on
downstream resource utilization.[31] Among 5354 patients referred from the emergency department
after negative troponin T tests and non-diagnostic ECGs, only 6.1% of patients
with a thrombolysis in myocardial infarction (TIMI) score ≤ 2 presented
with > 5% ischaemic myocardium, while 19.6% of patients with TIMI scores
≥ 3 had >5%. Furthermore, short-term adverse events were rare at 30
days with only 0.1% mortality and 0.1% of patients undergoing revascularization
for acute MI. These findings suggest that SPECT-MPI before discharge after two
negative troponins should be helpful in patients with TIMI scores ≥
3.In the field of acute MI, it has been shown that FDG-PET may be able to detect
inflammation in the acutely infarcted myocardium, if information on late
contrast enhancement (scar tissue) from concomitant CMR or CT is integrated.
Wollenweber et al. have translated these concepts into 15 patients early after
MI by performing PET and CMR within 7 days of first MI.[32] All patients underwent heparin
pre-treatment to suppress FDG uptake in remote myocardium. The metabolic rate of
glucose was significantly increased in infarcted vs. remote myocardium (2.0 vs.
0.4 mg/min per 100 mL; p = 0.0001). Regionally, FDG score was highest in
segments with LGE vs. oedema only and to remote myocardium (2.0 vs. 1.8 vs. 0.4;
p < 0.0001). Thus, increased FDG uptake after heparin-induced suppression of
myocyte uptake appears to reflect inflammatory activity in acutely infarcted
myocardial tissue.Finally, the radiation burden associated with nuclear imaging remains of concern
and was the objective of the INCAPS Investigators Group which conducted an
observational cross-sectional study of nuclear MPI protocols in 308 nuclear
cardiology laboratories in 65 countries around the world, characterizing patient
radiation doses and the use of radiation optimizing 'best practices'.[33] Patient effective radiation
dose ranged between 0.8 and 35.6 mSv (median 10.0 mSv). Average laboratory
effective dose ranged from 2.2 to 24.4 mSv (median 10.4 mSv) and only 30% of all
laboratories achieved a median effective dose of ≤ 9 mSv as recommended
by guidelines. The lowest effective dose (median 8.0 mSv) was administered in
Europe, coinciding with the highest best-practice adherence rate.
Integration or fusion of different imaging modalities
The number of studies published on the use of integrated or fusion imaging is
increasing, indicating increasing use of integrated PET-CT and PET-MRI
equipment, but also the fusion of independently obtained data from (for example)
SPECT and fluoroscopy. Zhou and colleagues developed a 3D fusion tool kit to
fuse LV venous anatomy (derived from fluoroscopy) with SPECT-MPI (to assess
myocardial scar) to guide LV lead placement in CRT.[34]Fusion imaging with PET-CT has been applied in patients with suspected
CAD.[35,36] Valenta and colleagues evaluated 24 patients
with PET-CT using N13-ammonia to assess different myocardial blood flow
variables (flow reserve and flow gradients), which were related with CTCA,
resulting in better understanding of the haemodynamic significance of coronary
stenoses.[35] Dey et al.
reported on PET-CT data from 51 patients: CTCA (quantitatively analysed) was
fused with myocardial flow reserve (derived from rest-stress N13-ammonia
PET).[36] Prediction of
reduced myocardial flow reserve (indicating ischaemia) was optimal when CTCA
stenosis severity was integrated with various other CTCA variables, including
total (non-calcified) plaque burden. These findings indicate that an integrated
CTCA score (including stenosis severity, total plaque burden, and plaque
constitution) may better predict reduced myocardial flow reserve.Ahmed et al. explored the utility of [18]F-FDG-PET-CT in the diagnosis of cardiac implantable
electronic device generator pocket infection.[37] To this end, 46 patients with suspected
generator pocket infection and 40 without any infection underwent PET imaging,
and FDG activity in the region of the generator pocket (Figure 4) was expressed as a semi-quantitative ratio (SQR)
defined as the maximum count rate around the generator divided by the count rate
between normal right and left lung parenchyma. Patients with suspected generator
pocket infection that required generator extraction had significantly higher FDG
activity compared with those that did not, and with controls (SQR 4.80 vs. 1.40
vs. 1.10, p < 0.001). From receiver operator characteristic curve analysis,
the authors calculated an optimal SQR cut-off value of >2.0, yielding a very
high sensitivity and specificity of 97 and 98%, respectively. These results
demonstrate a high diagnostic performance and highlight the potential utility of
FDG-PET for the detection of early cardiac implantable electronic device
generator pocket infection.
Figure 4
PET-CT in suspected device pocket infection. Example of a positive
18F-FDG PET/CT scan in a patient with pain at the generator pocket
site. (A) Increased FDG uptake is seen in the region of the left
pre-pectoral pocket on the coronal views (yellow arrows). (B) In the
sagittal plane, increased FDG uptake can be seen on the muscular
aspect of the pre-pectoral generator (yellow arrows) and along the
proximal portion of the leads (red arrows). (C) Increased FDG uptake
visualized on the muscular aspect of the generator pocket (yellow
arrows). Reproduced with permission from Ahmed et al.37 This Figure
has been reprinted by permission of Oxford University Press on
behalf of the European Society of Cardiology.
PET-CT in suspected device pocket infection. Example of a positive
18F-FDG PET/CT scan in a patient with pain at the generator pocket
site. (A) Increased FDG uptake is seen in the region of the left
pre-pectoral pocket on the coronal views (yellow arrows). (B) In the
sagittal plane, increased FDG uptake can be seen on the muscular
aspect of the pre-pectoral generator (yellow arrows) and along the
proximal portion of the leads (red arrows). (C) Increased FDG uptake
visualized on the muscular aspect of the generator pocket (yellow
arrows). Reproduced with permission from Ahmed et al.37 This Figure
has been reprinted by permission of Oxford University Press on
behalf of the European Society of Cardiology.Fusion imaging of CT and echocardiography in heart valve disease was reported by
Kamperidis et al.[38] The
authors addressed the topic of low gradient, but severe aortic stenosis in
patients with preserved LVEF; this 'mismatch' between the low gradient over the
valve (indicating no stenosis) but the small valve area (indicating severe
stenosis) may be related to the assumption of a circular shape of the LV outflow
tract with 2D echocardiography (which in fact often may have an elliptical
shape). Since this parameter contributes significantly to the calculation of the
aortic valve area (Figure 5), this may
contribute to errors in classification of severity of aortic stenosis. The LV
outflow tract may be more accurately detected from CT (anatomical) imaging by
direct planimetry, and fusion of the CT-derived LV outflow tract area with the
echo Doppler data may result in significant reclassification of inconsistently
graded severe aortic stenosis. In 191 patients with severe aortic valve stenosis
(according to the aortic valve area indexed for body surface area being < 0.6
cm2/m2) and preserved LVEF (≥ 50%), this fusion
approach was applied and reclassified 52% of patients with low gradient but
severe aortic stenosis and preserved LVEF into moderate aortic stenosis (Figure ).
Figure 5
Quantification of aortic valve area using fusion imaging in aortic
stenosis. Current clinical practice, 2-dimensional and Doppler
echocardiography are used to calculate the aortic valve area (panels
A, C, D and E): the LV outflow tract (LVOT) diameter is measured
from the parasternal long-axis view and the flow of the LVOT and
gradient of aortic valve are measured with pulsed and continuous
wave Doppler. By introducing the true cross-sectional area of the
LVOT measured with MDCT (panel B) into the Bernoulli equation (panel
E), the aortic valve area fusion is calculated. In this particular
example, an aortic valve area index of 0.58
cm2/m2 calculated with echocardiography
(Echo AVAi) indicates severe aortic stenosis whereas by using the
MDCT cross-sectional area of the LVOT, the aortic valve area index
(Fusion AVAi) increases to 0.79 cm2/m2 indicating moderate aortic
stenosis. Reproduced with permission from Kamperidis et al.38 This
Figure has been reprinted by permission of Oxford University Press
on behalf of the European Society of Cardiology.
Quantification of aortic valve area using fusion imaging in aortic
stenosis. Current clinical practice, 2-dimensional and Doppler
echocardiography are used to calculate the aortic valve area (panels
A, C, D and E): the LV outflow tract (LVOT) diameter is measured
from the parasternal long-axis view and the flow of the LVOT and
gradient of aortic valve are measured with pulsed and continuous
wave Doppler. By introducing the true cross-sectional area of the
LVOT measured with MDCT (panel B) into the Bernoulli equation (panel
E), the aortic valve area fusion is calculated. In this particular
example, an aortic valve area index of 0.58
cm2/m2 calculated with echocardiography
(Echo AVAi) indicates severe aortic stenosis whereas by using the
MDCT cross-sectional area of the LVOT, the aortic valve area index
(Fusion AVAi) increases to 0.79 cm2/m2 indicating moderate aortic
stenosis. Reproduced with permission from Kamperidis et al.38 This
Figure has been reprinted by permission of Oxford University Press
on behalf of the European Society of Cardiology.
Authors: John Gorcsan; Peter Sogaard; Jeroen J Bax; Jagmeet P Singh; William T Abraham; Jeffrey S Borer; Kenneth Dickstein; Daniel Gras; Henry Krum; Josep Brugada; Michele Robertson; Ian Ford; Johannes Holzmeister; Frank Ruschitzka Journal: Eur Heart J Date: 2015-08-30 Impact factor: 29.983
Authors: Diederik F van Wijk; Barbara Sjouke; Amparo Figueroa; Hamed Emami; Fleur M van der Valk; Megan H MacNabb; Linda C Hemphill; Dominik M Schulte; Marion G Koopman; Mark E Lobatto; Hein J Verberne; Zahi A Fayad; John J P Kastelein; Willem J M Mulder; G Kees Hovingh; Ahmed Tawakol; Erik S G Stroes Journal: J Am Coll Cardiol Date: 2014-10-07 Impact factor: 24.094
Authors: Yan Topilsky; Vuyisile T Nkomo; Ori Vatury; Hector I Michelena; Thierry Letourneau; Rakesh M Suri; Sorin Pislaru; Soon Park; Douglas W Mahoney; Simon Biner; Maurice Enriquez-Sarano Journal: JACC Cardiovasc Imaging Date: 2014-11-05
Authors: Andris H Ellims; Leah M Iles; Liang-han Ling; Belinda Chong; Ivan Macciocca; Glenn S Slavin; James L Hare; David M Kaye; Silvana F Marasco; Catriona A McLean; Paul A James; Desirée du Sart; Andrew J Taylor Journal: Eur Heart J Cardiovasc Imaging Date: 2014-05-12 Impact factor: 6.875
Authors: Fleur M van der Valk; Jeffrey Kroon; Wouter V Potters; Rogier M Thurlings; Roelof J Bennink; Hein J Verberne; Aart J Nederveen; Max Nieuwdorp; Willem J M Mulder; Zahi A Fayad; Jaap D van Buul; Erik S G Stroes Journal: J Am Coll Cardiol Date: 2014-09-09 Impact factor: 24.094
Authors: Ivan Stankovic; Christian Prinz; Agnieszka Ciarka; Ana Maria Daraban; Martin Kotrc; Marit Aarones; Mariola Szulik; Stefan Winter; Ann Belmans; Aleksandar N Neskovic; Tomasz Kukulski; Svend Aakhus; Rik Willems; Wolfgang Fehske; Martin Penicka; Lothar Faber; Jens-Uwe Voigt Journal: Eur Heart J Cardiovasc Imaging Date: 2015-11-20 Impact factor: 6.875
Authors: Andrew J Einstein; Thomas N B Pascual; Mathew Mercuri; Ganesan Karthikeyan; João V Vitola; John J Mahmarian; Nathan Better; Salah E Bouyoucef; Henry Hee-Seung Bom; Vikram Lele; V Peter C Magboo; Erick Alexánderson; Adel H Allam; Mouaz H Al-Mallah; Albert Flotats; Scott Jerome; Philipp A Kaufmann; Osnat Luxenburg; Leslee J Shaw; S Richard Underwood; Madan M Rehani; Ravi Kashyap; Diana Paez; Maurizio Dondi Journal: Eur Heart J Date: 2015-04-21 Impact factor: 29.983
Authors: Sanjay M Banypersad; Marianna Fontana; Viviana Maestrini; Daniel M Sado; Gabriella Captur; Aviva Petrie; Stefan K Piechnik; Carol J Whelan; Anna S Herrey; Julian D Gillmore; Helen J Lachmann; Ashutosh D Wechalekar; Philip N Hawkins; James C Moon Journal: Eur Heart J Date: 2014-11-16 Impact factor: 29.983