Authors
- Oliver Gaemperli — Cardiac Imaging, University Heart Center, Zurich, Switzerland
- Victoria Delgado — Heart Lung Centrum, Leiden University Medical Center, Leiden, The Netherlands
- Gilbert Habib — Service de Cardiologie, C.H.U. De La Timone, Bd Jean Moulin, Marseille, France — ORCID: 0000-0003-3899-9983
- Philipp A. Kaufmann — Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
- Jeroen J. Bax — Heart Lung Centrum, Leiden University Medical Center, Leiden, The Netherlands
DOI
https://doi.org/10.15836/ccar2016.238Full Text
## Preamble 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 2 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 100 (net reclassification improvement 0.62, P 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 CT) 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 FFRCT strategy 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) ## 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 1-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) 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 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 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 18F-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 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) 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 2/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 5**). 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) ## Acknowledgments Authors’ contributions: O.G., V.D., G.H., P.A.K., J.J.B. handled funding and supervision. O.G., V.D., G.H., P.A.K., J.J.B. acquired the data. O.G., V.D., G.H., P.A.K., J.J.B. conceived and designed the research. O.G., V.D., G.H., P.A.K., J. J.B. drafted the manuscript. O.G., V.D., G.H., P.A.K., J.J.B.: made critical revision of the manuscript for key intellectual content.
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