ISSN: 1885-5857 Impact factor 2023 7.2
Vol. 69. Num. 2.
Pages 188-200 (February 2016)

Review article
Stress Computed Tomography Myocardial Perfusion Imaging: A New Topic in Cardiology

Técnica de imagen de perfusión miocárdica con tomografía computarizada de estrés: un nuevo tema en cardiología

Sara SeitunaMargherita Castiglione MorelliaIrilda BudajaSara BoccaliniaAthena Galletto PregliascoaAlberto ValbusabFilippo CademartiricCarlo Ferroa

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Abstract

Since its introduction about 15 years ago, coronary computed tomography angiography has become today the most accurate clinical instrument for noninvasive assessment of coronary atherosclerosis. Important technical developments have led to a continuous stream of new clinical applications together with a significant reduction in radiation dose exposure. Latest generation computed tomography scanners (≥ 64 slices) allow the possibility of performing static or dynamic perfusion imaging during stress by using coronary vasodilator agents (adenosine, dipyridamole, or regadenoson), combining both functional and anatomical information in the same examination. In this article, the emerging role and state-of-the-art of myocardial computed tomography perfusion imaging are reviewed and are illustrated by clinical cases from our experience with a second-generation dual-source 128-slice scanner (Somatom Definition Flash, Siemens; Erlangen, Germany). Technical aspects, data analysis, diagnostic accuracy, radiation dose and future prospects are reviewed.

Keywords

Computed tomography myocardial perfusion
Stress computed tomography
Dual-energy computed tomography
Myocardial perfusion imaging
INTRODUCTION

A number of advances during the last 15 years have seen coronary computed tomography angiography (CTA) become one of the mainstay diagnostic tools for noninvasive assessment of coronary atherosclerosis in patients with a low-to-intermediate probability of coronary artery disease (CAD).1–4 Coronary CTA demonstrates high sensitivity and negative predictive value in determining significant stenosis (≥ 50% lumen reduction), approaching 100%.1–4 However, based solely on the morphological characteristics of the coronary lesions, the hemodynamic significance of the stenosis cannot be determined, especially that of intermediate-grade stenosis (40%-70% lumen reduction), as demonstrated by studies of invasive fractional flow reserve (FFR) measurements.5 The landmark FAME trial has demonstrated that an FFR-guided percutaneous coronary intervention approach is superior to treatment with a percutaneous coronary intervention based solely on visual angiographic assessment of coronary lesions, with an improved clinical outcome and a positive economic impact on health care cost.5 To date, the 2 largest randomized controlled trials, the COURAGE6 and BARI 2D7 trials, have failed to show that percutaneous coronary intervention based solely on a standard visual approach is superior to optimal medical therapy in reducing mortality or recurrent myocardial infarction. Therefore, these studies suggest that functional assessment of coronary lesions may help to identify patients who may benefit from revascularization in stable CAD. Moreover, studies correlating the anatomic information of coronary CTA with single-photon emission computed tomography (SPECT) have demonstrated a moderate positive predictive value (about 50%) of CTA in determining inducible myocardial ischemia.8,9 For these reasons, in clinical practice, morphological information obtained with coronary CTA often requires integration with functional imaging tests such as SPECT, positron emission tomography, or magnetic resonance imaging (MRI) during pharmacological stress to highlight perfusion defects, with an impact on patient management and prognosis. However, the latest-generation computed tomography (CT) scanners (≥ 64 slices) allow static and dynamic CT perfusion (CTP) to be obtained during stress by using coronary vasodilator agents (adenosine, dipyridamole, or regadenoson), combining both functional and anatomical information in the same examination, which are essential in state-of-the-art patient management.2,5 In this article, the emerging role and state-of-the-art of myocardial CTP during pharmacological stress are reviewed and illustrated by clinical cases from our preliminary experience with a second-generation 128-slice dual-source CT (DSCT) scanner (Somatom Definition Flash, Siemens; Germany). Technical aspects, data analysis, diagnostic accuracy, radiation dose and the possible future role of this innovation are reviewed.

PHYSIOPATHOLOGY OF ISCHEMIA

Myocardial perfusion is a highly regulated process influenced by numerous factors, such as epicardial vessels, resistance vessels, and endothelium.10 At rest, the myocardium oxygen extraction rate is very high (75%-80%) and, whenever demands increase, the myocardium can supply incrementing coronary blood flow and oxygen delivery.10 Ischemia can occur secondary to reduced coronary blood flow/perfusion pressure not compensated by the autoregulation process, which is the ability to maintain a relatively stable coronary perfusion over a wide range of perfusion pressures due to dilation of resistance vessels. Coronary blood flow at rest is not compromised by epicardial stenosis of up to 85%-90% but, in the presence of maximal hyperemia, it decreases with stenosis of > 45%.10 Moreover, the physiological effect of stenosis also depends on the degree of compensation of the distal microcirculatory bed.10,11 The ischemic process initially involves the subendocardial layer with an endo-subpericardial front causing a cascade of physiopathological events among which perfusion reduction is an early change (Figure 1).10 For these reasons, stress tests evaluating this parameter are more sensitive in identifying hemodynamically significant stenosis than analysis of the stress-induced wall motion abnormalities or electrocardiogram (ECG) changes alone (Figure 1).10

Figure 1.

The ischemic cascade. ATP/PCr, adenosine triphosphate/phosphocreatine.

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ACQUISITION MODALITY

Myocardial stress CTP images can be acquired in either a static or dynamic mode. Static CTP imaging acquires a single temporal phase during the arterial first-pass of the contrast agent.12 Among static techniques, the recently introduced dual-energy (DE) acquisition is one of the most promising techniques and consists of the use of different X-ray spectra generated by different tube voltages.13,14 Dynamic time-resolved CTP acquisition allows the acquisition of multiple consecutive contrast-enhanced phases as the contrast bolus transits the myocardium, in a manner similar to stress-MRI.12 By obtaining time attenuation curve (TAC) computation, dynamic acquisition enables perfusion parameters to be calculated from mathematical modeling.9

Monoenergetic Static Acquisition

A single stationary contrast-enhanced first-pass arterial acquisition during pharmacological stress is performed. Optimization of the timing of image acquisition is therefore crucial to acquire the dataset during the peak of myocardial enhancement.15,16 Several acquisition techniques are available with a progressive reduction in dose profile and contrast media administration: retrospective ECG-gating (with prospective tube current modulation),17,18 prospective ECG-gating,19,20 and prospectively ECG-triggered high-pitch spiral acquisition implemented with the second-generation 128-slice DSCT scanner.21,22

Static Acquisition With the Dual-energy Technique

The DE technique allows quantitative analysis through evaluation of iodine distribution during the first-pass phase of the contrast agents based on their X-ray absorption characteristics at different X-ray tube voltage settings (kV), which affect the X-ray energy levels.23 Dual-energy acquisition can be performed with a DSCT scanner with 2 tubes simultaneously emitting higher (140-150kV) and lower (80-90-100kV) energy levels.23,24 A second approach consists of a single-source CT scanner with fast tube voltage switching (from 80kV to 140kV) either in a single gantry rotation (GSI Cardiac, GE Healthcare) or in consecutive rotations (Acquilion One, Toshiba).9 Another possibility still under investigation is the double-layer approach with 2 overlaid detectors made of different materials (Philips Medical Systems prototype).9

The introduction of the second-21 or third-generation25 DSCT scanners with high temporal resolution (75ms or 66ms, respectively) can overcome cardiac motion artifacts of the DE CTP, especially in patients with a high heart rate and high heart rate variability.

Dynamic Computed Tomography Perfusion Acquisition

Dynamic CTP acquisition allows the quantification of myocardial blood flow and volume and potentially of other hemodynamic parameters, through the mathematical elaboration of TAC.9 Dynamic CTP imaging requires a sufficiently high temporal resolution to image heart rates at stress and a detector array sufficiently wide to image the entire myocardium in rapid succession. Whole-heart coverage can be achieved using a single-tube scanner with a 256-slice wide-detector CT system while the table is stationary with a coverage of 78mm,26 or by using a DSCT scanner with the shuttle mode.27,28 In the shuttle mode, the table moves back and forth in 2 alternate scanning positions covering a total of 73mm.27,28 The newly introduced third-generation DSCT scanner with 192 detectors allows for a wider Z-coverage of 105mm, with the possibility of also studying larger or dilated hearts.25 For both modalities (stationary table or shuttle mode), data are acquired for approximately 30 s during the longitudinal systolic shortening of the left ventricle, when the left ventricular myocardium is thicker, providing a more robust set for perfusion analysis. The amount of contrast medium administered is usually 50mL followed by 50mL of saline at 5-6mL/s.16,27

EXAMINATION PROTOCOL

Combined coronary CTA and CTP protocols can be performed with a rest/stress or a stress/rest protocol. Both phases are necessary to accurately differentiate between ischemic and necrotic myocardium. Generally, static rest perfusion evaluation is derived from the anatomical acquisition of the coronary arteries; otherwise, a dynamic perfusion acquisition in both stress and rest states can be performed for quantitative coronary flow reserve measurements.28

The stress CTP scan is acquired during drug-induced arteriolar vasodilation (using dipyridamole, adenosine, or regadenoson) by both direct and endothelium-mediated mechanisms with a 3.5- to 4-fold increase in myocardial blood flow.10 Adenosine nonselectively activates 4 receptor subtypes: A1, A2A, A2B, and A3, of which only A2A receptor activation vasodilates the coronary arterial beds, increases myocardial blood flow, and causes sympathoexcitation; the activation of the other receptors produces short-term undesirable side effects.29 Dipyridamole increases endogenous adenosine levels by reducing its uptake from endothelial cells.10 Both adenosine and dipyridamole may cause bronchospasm in patients with asthma and chronic obstructive pulmonary disease, while the newly introduced regadenoson, a selective A2A receptor agonist, may be safely used in these patients.29 Other common contraindications are severe AV block without PM, sinus bradycardia, systemic hypotension (blood pressure < 90mmHg), and severe carotid stenosis. These drugs, by dilating the small resistance arterioles, reduce the perfusion pressure beyond the stenosis and, by increasing subepicardial blood flow, suppress the autoregulation mechanism (transmural coronary steal phenomenon). This results in a progressive reduction of the downstream flow as the entity of the stenosis increases.10,12 All these agents have demonstrated good sensitivity and specificity; dipyridamole has the advantage of being inexpensive but has a longer vasodilation effect (several minutes instead of a few seconds with adenosine) that requires aminophylline antagonism (slow intravenous injection of 50mg to 250mg).12 Complications are related to systemic vasodilation (tachycardia, hypotension, flushing, headache, and dizziness) and to the induction of myocardial ischemia (chest pain, dyspnea, ST-segment depression), ventricular tachycardia or transient atrio-ventricular block.12,29 Before the examination, patients are advised to avoid drug antagonists such as methylxanthines contained in products such as coffee, tea, chocolate, energy drinks, or brochodilators.9 Dobutamine, a synthetic β1- and β 2-receptor agonist, is commonly used in stress echocardiography for wall motion analysis and currently has no clinical role in CTP imaging.10,12

Two intravenous access sites are required to inject the stress agent and contrast media. Adenosine is infused at a standard rate of 0.14mg/kg/min for 3 to 5minutes with an infusion pump, while dipyridamole is infused in a dose of 0.56mg/kg to 0.84mg/kg over a 4 to 6minute period.10,12 Conversely, regadenoson can be administered in a single dose (400μg).29 During the examination, heart rate is constantly monitored with a 12-lead ECG as well as blood pressure and oxygen saturation. The patient is repeatedly asked about the occurrence of any symptoms, which generally disappear when the drug injection is suspended or when an antagonist is administered.

Several protocols have been proposed and are published in the literature with their advantages and disadvantages (Figure 2).9,12 The stress/rest CTP protocol, which allows more sensitive detection of ischemia, should preferably be used in patients with a high pretest probability of CAD or with known CAD, in whom extensive calcifications, multivessel disease or prior stent implantation may reduce coronary CTA accuracy in the evaluation of CAD. Conversely, the rest/stress CTP protocol should be the first choice in patients with a low-to-intermediate pretest probability of CAD, which allows discontinuation of the protocol when absent or minimal CAD is detected during the rest phase, reserving pharmacologic stress for patients with moderate-to-severe CAD (Figure 2).9,12

Figure 2.

Stress-rest (A) and rest-stress (B) computed tomography myocardial perfusion protocols with advantages (pros) and disadvantages (cons). CTP, computed tomography perfusion imaging; CAD, coronary artery disease; ECG, electrocardiogram; IV, intravenous; PTP, pre-test probability of coronary artery disease.

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Although it is still experimental, a late sequence at 8 to 10minutes can be added without further contrast material injection to reveal the presence of late myocardial enhancement, which indicates nonviable myocardium; low voltage (70-80-90-100kV) protocols should be preferred due to the specific characteristic CT attenuation spectrum of iodine with high attenuation at low photon energies.23 However, a late-enhancement scan is not mandatory in clinical practice due to the relatively poorer signal-to-noise and contrast-to-noise ratios of CT compared with MRI and the difficulty of assessing the transmural extent of the infarct.12,24

DATA POSTPROCESSINGQualitative and Static Quantitative Analysis

Stress CTP qualitative analysis is performed by visual analysis of the images acquired during stress and rest conditions, using a standard of normality learned with experience. Images are interpreted based on the presence, location, and extension of the perfusion defect using standard cardiac long-axis and short-axis planes.30 Thick multiplanar reconstruction of approximately 5mm to 8mm is usually preferred to optimize the contrast-to-noise ratio.12,30 Qualitative assessment may be aided by evaluation of myocardial attenuation through measurements of the signal density levels within the myocardium. Automatic software employing “bull's eye” plot of the transmural perfusion ratio (an endocardial-to-mean epicardial ratio of attenuation values), a semiquantitative index parameter initially validated for stress MRI, has been implemented to aid CTP analysis; however, it seems to be unreliable in the presence of prior infarction or significant beam-hardening or motion artifacts.30

In addition to qualitative analysis, the DE technique also allows quantitative analysis. From the raw data of the DE scan, 2 datasets at different kV are extracted, obtaining a merged dataset combining the reduced noise of the high energy level (140-150kV) together with the high contrast resolution of the low energy level (80-90-100kV), resulting in better differentiation of normal and hypoperfused myocardium.23 By exploiting the DE information, a color-coded iodine distribution map–a surrogate marker of myocardial blood supply–may be obtained and overlapped with the virtual-noncontrast reconstruction (Figure 3).13,23 The DE technique allows quantification of the per-voxel amount of iodine concentration within the myocardium expressed in mg/mL (Figure 3), a surrogate marker of myocardial blood supply.23 Furthermore, due to its ability to generate monochromatic image reconstructions, the DE technique has been shown to mitigate or even eliminate beam hardening artifacts related to cardiac geometry and iodinated contrast material occasionally resembling perfusion defects and commonly observed at the left ventricular posterobasal wall.9

Figure 3.

A three-dimensional volume rendered computed tomography image (A) showing a stent in the middle segment of the left anterior descending artery and double stenting in the proximal main obtuse marginal branch (arrows). Curved planar reformations of the left anterior descending artery (B) and the obtuse marginal branch (C) with the corresponding perpendicular views, showing in-stent restenosis. Myocardial short-axis color-coded iodine distribution maps of computed tomography dual-energy perfusion imaging from middle to apical segments show perfusion defects at the antero-septal, anterior, antero-lateral and lateral wall corresponding to the territory of the left anterior descending artery and left circumflex artery (arrows in D). Quantitative analysis of the dual-energy map at the level of the anterior wall (arrows) shows a 37% reduction in iodine content with respect to the remote myocardium at the inferior wall (E). Invasive coronary angiography confirmed the in-stent restenosis of the left anterior descending artery (arrow in F) and the obtuse marginal branch (arrow in G). AF, atrial fibrillation; CT, computed tomography; RF, radiofrequency; ROI, region of interest.

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Dynamic Quantitative Analysis

Dynamic CTP imaging allows either a semiquantitative or a fully quantitative perfusion analysis.9 Simple semiquantitative metrics, in a manner similar for stress MRI perfusion, allow for evaluation of blood flow kinetic parameters derived from the upslope of the TAC (time-to-peak, peak enhancement, upslope, and the area under the curve).9,10,26,28 Since semiquantitative analysis needs computation of only the upslope part of the TAC, a lesser temporal sampling is required with a reduced radiation dose. Conversely, absolute myocardial perfusion quantification requires a complete first-pass coverage of the myocardium and is based on a dedicated algorithm that has been successfully used previously in MRI studies.9,10 For a quantitative analysis using a DSCT scanner, a modified parametric deconvolution technique based on a 2-compartment model of intra- and extravascular space to fit the TAC is used.9,28 The volumetric images dataset (≈10-15 sets of data) is processed using dedicated commercial perfusion software on a standard workstation (Syngo VPCT body-myocardium, Siemens Healthcare; Erlangen, Germany). After double-sampling of the AIF (arterial input function), the mathematical elaboration of the TAC enables calculation of the myocardial blood flow (MBF) in mL/100mL/min and the myocardial blood volume (MBV) in mL/100mL of each voxel, generating a 3D color-coded map representation (Figure 4). Myocardial blood flow and MBV are computed according to the following equations:

Figure 4.

A: dynamic volumetric images datasets (≈ 10-15 sets of data) obtained with a second-generation dual-source 128 slice computed tomography scanner are processed with dedicated volume perfusion software. The algorithm double-sampled the arterial input function from regions of interest that were placed in the descending aorta at the cranial and caudal ends of the 2 image stacks, and combined into one arterial input function that has twice the sampling rate of the tissue time-attenuation curve. B: for each voxel, estimated myocardial blood flow (mL/100mL/min) and myocardial blood volume (mL/100mL) may be calculated by parametric deconvolution technique based on a 2-compartment model of intra- and extravascular space to fit the time attenuation curve. Other hemodynamic parameters can be derived, such as the transit-constant (Ktrans, mL/100mL/min), which describes permeability by calculating volume transfer between blood plasma and the extracellular extravascular space. Myocardial perfusion is represented with a 3-dimensional color-coded map.

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Semiautomated software enabling a polar plot display of the modified 17-segment American Heart Association myocardial model is now available, with a substantially reduced analysis times and improvement in the standardization of the perfusion analysis.

IMAGE INTERPRETATION

Similar to SPECT image and MRI interpretation, demonstration of a stress perfusion defect partially or totally reversible at rest indicates the presence of ischemic but viable myocardium; conversely, a matching defect on stress and rest images indicates a fixed defect consistent with the presence of myocardial necrosis (Figure 5).12,30 The DE CTP technique, by means of 3-dimensional color-coded map representation of the static distribution of the contrast media during the time-frame of image acquisition,13,23 shows a reduced iodine content in the ischemic or necrotic myocardium compared with the remote myocardium (Figure 3).

Figure 5.

Guide to computed tomography myocardial perfusion imaging analysis. The demonstration of a stress perfusion defect partially or totally reversible at rest indicates the presence of ischemic but viable myocardium (inducible ischemia); when the perfusion defect persists at rest imaging it indicates the presence of myocardial infarction.

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Dynamic stress CTP demonstrates reduced MBF and MBV in the segments corresponding to the perfusion defects, due to inducible ischemia or infarction (Figure 6). Furthermore, analysis of TAC allows differentiation of ischemic from necrotic myocardium. Ischemic but viable myocardium shows a decreased wash-in with a delayed and reduced peak enhancement and a conserved wash-out compared with remote myocardium, whereas necrotic myocardium demonstrates a reduction in both wash-in and wash-out rates in the areas of scarring and necrosis (Figure 6). The integration of CTP analysis with coronary anatomical data is a crucial step for image interpretation and enables determination of whether a perfusion defect matches a region supplied by a stenotic coronary artery, thus determining the hemodynamic significance of coronary lesions (Figure 6). It is important to be aware of the variation of the vascular territory distribution in myocardial perfusion, which accounts for coronary anatomy variability. Moreover, reversible perfusion defects can be localized in the distribution territory of normal epicardial coronary arteries if there is microvascular and/or endothelial dysfunction.10,11

Figure 6.

Curved planar reformation demonstrating chronic total occlusion of the proximal-mid right coronary artery (arrow in A) and a critical stenosis (> 70%) of the middle segment of the left anterior descending artery due to a mixed atherosclerotic plaque with involvement of the second septal perforating branch (arrow in B). Three-dimensional color-coded oblique 2-chamber computed tomography perfusion images at stress (C) and rest (D) show a reversible perfusion defect in the territory of the left anterior descending artery (middle antero-septal wall, color-coded in blue, white arrow in C), consistent with inducible ischemia, and a fixed perfusion defect in the territory of the right coronary artery (proximal inferior wall color-coded in blue-violet, red arrows in C and D), indicating myocardial necrosis. Note also a reversible defect in the territory of the right coronary artery (middle inferior wall, color-coded in blue, black arrow in C) indicating peri-infarct ischemia. The corresponding tissue time-attenuation curves of the ischemic (E, left image) and necrotic (E, right image) myocardium, respectively at the antero-septal and inferior wall, demonstrate a decreased wash-in with a delayed and reduced peak enhancement, especially in the area of scarring. During stress, a significant reduction was observed in both myocardial blood flow and myocardial blood volume of the necrotic (blood flow = 50 ± 14mL/100mL/min; blood volume = 7 ± 2mL/100mL) and ischemic (blood flow = 65 ± 15mL/100mL/min; blood volume= 10 ± 2mL/100mL) myocardium. TAC, time attenuation curve.

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Iodinated contrast media, as well as Gd-based contrast agents used in MRI, are trapped and accumulate in the intracellular space of irreversibly damaged myocardiocytes after myocardial infarction or in the expanded extracellular space due to fibrous scar tissue: these necrotic/fibrotic lesions can be demonstrated as hyperdense areas (hyper-enhancement) in a late sequence obtained 8 to 10minutes after contrast media injection (Figure 7).24

Figure 7.

Curved planar reformation demonstrating chronic total occlusion at the ostium of the left circumflex artery (arrows, A). A 4-chamber rest computed tomography perfusion image acquired during first-pass enhancement showing a large perfusion defect at the lateral wall (arrows, B) in the territory of the left circumflex artery. Corresponding 4-chamber late-enhancement image obtained at 8minutes using a low voltage (80kV) protocol demonstrating hyper-enhancement due to myocardial necrosis (arrows, C).

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DOSE

During the last decade, several technological improvements have allowed a drastic reduction in the dose profile associated with coronary CTA together with an improvement in image quality. Accordingly, from an initial 20 mSV, the dose can now be reduced as low as 2 mSv or less by means of prospective ECG triggering, including the high-pitch spiral and iterative reconstruction methods.21,22

Tables 1 and 2 show the radiation dose, scanning protocols, and diagnostic accuracy of static CTP. The reported effective dose is in the range of 4.2mSv to 7.7mSv with the DE modality and is 5 mSv or less with the prospective ECG-gating monoenergetic technique, approaching 1 mSv with the high-pitch spiral acquisition of the DSCT scanner system (Tables 1 and 2). Accordingly, a complete stress/rest protocol by means of high-pitch 128-slice DSCT scanner may result in a radiation dose as low as 2.5 mSv, while maintaining a sensitivity of 96% and a specificity of 88% compared with cardiac MRI on a vessel level.21 Conversely, the effective dose of dynamic CTP is fairly variable, ranging from 3.8 mSv16 to 12.5 mSv,27 and is strictly dependent on protocol optimization16 (Table 3). As a result, a combined rest/stress dynamic CTP study with 100kV can require a mean radiation dose of 18 mSv.28 This value may be consistently decreased using recent technical developments, including the low voltages (70 kV to 80 kV) acquisition and iterative reconstruction.49,50

Table 1.

Static Computed Tomography Perfusion Imaging

Author  Year  No.  Scanner  Dose, mSv  Stressor, dose  Analysis  Reference  SE, %  SP, %  PPV, %  NPV, % 
Blankstein et al17  2009  34  DS 1G  9.10  Adenosine(0.14 mg/kg/min)  Visual  SPECT(for vessel)  84  80  71  90 
Rocha-Filo et al18  2010  35  DS 1G  9.80  Adenosine(0.14 mg/kg/min)  Visual  QCA(for vessel)  91  91  86  93 
Feuchtner et al21  2011  30  DS 2G  0.93  Adenosine(0.14 mg/kg/min)  Visual  MRI 1.5 T(for vessel)  96  88  93  94 
Cury et al31  2011  26  64-detector CT  14.40a  Dipyridamole(0.56 mg/Kg)  Visual  SPECT(for patient)  94  78  89  87 
Ko et al32201240320-detector CT4.50Adenosine(0.14 mg/kg/min)TPR  FFR(for vessel)  74  66  56  81 
Visualb  FFR(for vessel)  87  95  89  94 
George et al19  2012  50  320-detector CT  7.00  Adenosine(0.14 mg/kg/min)  TPR  SPECT(for patient)  72  91  81  85 
Nasis et al20  2013  20  320-detector CT  4.80  Adenosine(0.14 mg/kg/min)  Visualb  QCA + SPECT(for patient)  94  98  94  98 
Bettencourt et al33201310164-detector CT5.00aAdenosine(0.14 mg/kg/min)VisualbFFR(for patient)  89  83  80  90 
MRI 1.5 T(for patient)  67  95  91  78 
Wong et al34  2014  75  320-detector CT  4.80  Adenosine(0.14 mg/kg/min)  Visual + TAGb  FFR(for vessel)  97  84  76  98 
Rochitte et al (CORE320 study)35  2014  381  320-detector CT  5.31  Adenosine(0.14 mg/kg/min)  Semiq  QCA + SPECT(for patient)  80  74  65  86 
George et al (CORE320 study)36  2014  381  320-detector CT  NA  Adenosine(0.14 mg/kg/min)  Semiq  QCA(for patient)  88  55  75  75 
Yang et al37201575DS 2G6.50Adenosine(0.14 mg/kg/min)VisualFFR(for patient)  89  86  96  63 
FFR(for vessel)  80  95  92  87 
Magalhaes et al (CORE320 study)38  2015  381  320-detector CT  NA  Adenosine(0.14 mg/kg/min)  Visualb  QCA + SPECT(for patient)  78  73  64  85 
Cury et al (regadenoson crossover study)39  2015  110  Multivendor  17.70a  Regadenoson(0.4 mg)  Semiq  SPECT  90  82  53  97 

1G, first generation; 2G, second generation; CT, computed tomography; DS, dual-source scanner; FFR, fractional flow reserve; MRI, magnetic resonance imaging; N°, patients’ number; NA, nonassessable; NPV, negative predictive value; PPV, positive predictive value; QCA, quantitative coronary angiography; SE, sensitivity; Semiq, semiquantitative analysis using a stress score; SP, specificity; SPECT, single-photon emission computed tomography; TAG, transluminal attenuation gradient; TPR, transmural perfusion ratio.

a

Global radiation dose of the stress-rest protocol.

b

Accuracy of computed tomography perfusion integrated with the coronary anatomic data.

Table 2.

Static Dual-energy Computed Tomography Perfusion Imaging

Author  Year  No.  Scanner  Dose, mSv  Stressor, dose  Analysis  Reference  SE, %  SP, %  PPV, %  NPV, % 
Ko et al13  2012  45  DS 1G  5.7  Adenosine(0.14 mg/kg/min)  Iodine map(for vessel)  QCA  89  74  80  85 
Delgado et al14  2013  56  DS 2G  5.2  Adenosine(0.14 mg/kg/min)  Iodine map(for segment)  MRI 1.5T  76  99  89  98 
Meinel et al24  2014  55  DS 2G  7.1  Adenosine(0.14 mg/kg/min)regadenoson (0.4 mg)  Iodine map(for segment)  SPECT  99  97  92  100 
Kido et al40  2014  21  DS1G-2G  7.7  Adenosine(0.16 mg/kg/min)  Iodine map(for vessel)*  QCA  67  92  84  82 
Kim et al41  2014  50  DS 2G  6.5  Adenosine(0.14 mg/kg/min)  Iodine map(for segment)  MRI 1.5T  77  94  53  98 
Ko et al42  2014  40  DS 1G  4.6  Adenosine(0.14 mg/kg/min)  Iodine map(for vessel)*  QCA + MRI 3T  87  79  71  91 
Ko et al43  2014  100  DS 1G  4.2  Adenosine(0.14 mg/kg/min)  Iodine map(for vessel)*  QCA + MRI 1.5T and 3T  88  79  73  91 

1G, first generation; 2G, second generation; CT, computed tomography; DS, dual-source scanner; MRI, magnetic resonance imaging; N°, patients’ number; NPV, negative predictive value; PPV, positive predictive value; QCA, quantitative coronary angiography; SE, sensitivity; SP, specificity; SPECT, single-photon emission computed tomography.

*

Accuracy of computed tomography perfusion integrated with the coronary anatomic data.

Table 3.

Dynamic Computed Tomography Perfusion Imaging in Human Studies

Author  Year  N°  Scanner  Dose, mSv  Stressor  Reference  Analysis  SE, %  SP, %  PPV, %  NPV, % 
Bastarrika et al27  2010  10  DS 2G  12.50  Adenosine(0.14 mg/kg/min)  MRI(segment)  Visual, semiq, quantitative MBF  86  98  94  96 
Ho et al28  2010  35  DS 2G  9.10  Dipyridamole(0.56 mg/Kg in 4′)  SPECT(segment)  Quantitative MBF  83  78  79  82 
Bamberg et al44  2011  33  DS 2G  10.00  Adenosine(0.14 mg/kg/min)  FFR(vessel)  Quantitative MBF*  93  87  75  97 
Wang et al45  2012  30  DS 2G  9.50  Adenosine(0.14 mg/kg/min)  QCA + SPECT(vessel)  Visual, quantitative MBF and MBV  100  76  54  100 
Greif et al46  2013  65  DS 2G  9.70  Adenosine(0.14 mg/kg/min)  FFR(vessel)  Quantitative MBF  95  74  49  98 
Huber et al26  2013  32  256-detectorCT  9.50  Adenosine(0.14 mg/kg/min)  FFR(vessel)  Quantitative MBF  76  100  100  91 
Bamberg et al47  2014  31  DS 2G  11.08  Adenosine(0.14 mg/kg/min)  MRI 3T(vessel)  Quantitative MBF and MBV  100  75  92  100 
Rossi et al48  2014  80  DS 2G  9.40  Adenosine(0.14 mg/kg/min)  FFR(vessel)  Quantitative MBF  88  90  77  95 

2G, second-generation; CT, computed tomography; DS, dual-source scanner; FFR, fractional flow reserve; MRI, magnetic resonance imaging; MBF, myocardial blood flow; MBV, myocardial blood volume; N°, patients’ number; NPV, negative predictive value; PPV, positive predictive value; QCA, quantitative coronary angiography; SE, sensitivity; Semiq, semiquantitative analysis; SP, specificity; SPECT, single-photon emission computed tomography.

*

Accuracy of computed tomography perfusion integrated with the coronary anatomic data.

Based on the above data, stress CTP can be considered competitive regarding the overall dose compared with SPECT imaging (dose of 10 mSv for 99mTc and 20 mSv to 40 mSv for scintigraphy with 201Tl),22 allowing the integration of functional and anatomical data in a single examination.

ACCURACY

Multiple single-center studies and the first multicenter trials have shown that stress CTP provides good diagnostic accuracy for the detection of myocardial perfusion defects by both static monoenergetic and DE modalities (Tables 1 and 2). In particular, Ko et al13 have demonstrated the higher accuracy of DE CTP study compared with coronary CTA examination alone in detecting significant stenosis according to conventional coronary angiography. In a recent study, by comparing the accuracy of different acquisition protocols with the DE technique and SPECT, Meinel et al24 concluded that an examination including both stress and rest DE CTP is the modality of choice to reveal perfusion defects, with a sensitivity of 99%, specificity of 97%, positive predictive value of 92%, and negative predictive value of 100%; late-enhancement acquisition did not significantly improve diagnostic performance.24 An ongoing prospective, multicenter study, the DECIDE-Gold trial, which evaluates the accuracy of rest-stress DE CTP imaging compared with invasive FFR (primary endpoints) and functional imaging (secondary endpoints), will improve the current evidence on DE CTP in the detection of myocardial ischemia.51

The CORE 320 study, a prospective multicenter international trial using the 320-detector scanner with 381 participants, has evaluated the diagnostic accuracy of combined coronary CTA and static adenosine-stress CTP compared with invasive angiography and SPECT. The study concluded that the overall performance of stress CTP imaging in the diagnosis of anatomic coronary stenosis (≥ 50%) was higher than that of SPECT and was driven in part by the higher sensitivity for left main and multivessel disease.36 According to the CORE320 data, when combined with coronary CTA, myocardial CTP analysis substantially increased specificity and overall accuracy in identifying flow-limiting stenosis (CAD ≥ 50%) as determined by invasive coronary angiography and SPECT.35,38 These findings were consistent among patients with and without previous CAD, both in per-patient and in per-vessel analyses.35,38 Another recent randomized, multicenter, multivendor CTP study with regadenoson in 110 participants, conducted at 11 sites in the United States using 6 different CT scanners, has demonstrated the noninferiority of the static CTP protocol in detecting perfusion defects with respect to SPECT as the reference standard, with high sensitivity and specificity of 90% and 82%, respectively.39 Moreover, as in the CORE320 trial, regadenoson CTP provides improved diagnostic accuracy over CTA alone for the detection of myocardial ischemia.39

The software-derived transmural perfusion ratio and other index parameters such as the myocardial reserve index (difference in attenuation between the stress and rest phases) have been introduced as useful semiquantitative parameters for static myocardial CTP; however, they have shown lower diagnostic accuracy than standard visual qualitative analysis, especially when visual perfusion was added to the coronary CTA information.32,38

Regarding the diagnostic accuracy of dynamic stress CTP, data obtained from animal model-based studies have been very encouraging, demonstrating a good correlation with fluorescent microsphere measurements and histopathology (Table 4). Preliminary human studies confirmed the good diagnostic performance of dynamic CTP compared with well-established noninvasive functional methods such as SPECT and perfusion-MRI, and with the gold-standard, invasive FFR (Table 3). Indeed, CTP imaging added the possibility of improving the overall diagnostic accuracy of coronary CTA, particularly in the interpretation of intermediate stenosis.47,48

Table 4.

Dynamic Computed Tomography Perfusion Imaging in Animal Studies

Author  Year  No.  Scanner  Protocol  Dose, mSv  Stressor  Reference  Analysis 
Bamberg et al52  2012  7 pigs  DS 2G  Stress: CTP dynamic  10.60  Adenosine(0.14 mg/kg/min)  Microsphere MBF  Quantitative MBF 
Rossi et al53  2013  7 pigs  DS 2G  Stress: CTP dynamic  17.10  Adenosine(0.50 mg/kg/min)  CBF and FFR  Quantitative MBF 
Schwarz et al54  2013  6 pigs  DS 2G  Stress: CTP dynamic + flash  11.30 + 0.88  Adenosine(0.14 mg/kg/min)  Microsphere MBF  Quantitative MBF + attenuation values (HU) 
Bamberg et al55  2014  12 pigs  DS 2G  Stress: CTP dynamic  NA  Adenosine(0.14 mg/kg/min)  HistopathologyMicrosphere MBF  Quantitative MBF, MBV, Ktrans 

2G, second-generation; CBF, coronary blood flow; CTP, computed tomography perfusion; DS, Dual-Source scanner; FFR, fractional flow reserve; HU: Hounsfield unit; Ktrans, permeability constant; MBF, myocardial blood flow; MBV, myocardial blood volume; NA, nonassessable.

By means of dynamic CTP imaging, different absolute MBF cut-off values ranging from 75mL/100mL/min to 103.1mL/100mL/min with a DSCT scanner system and as high as 164mL/100mL/min using a 256-slices CT scanner have been proposed to distinguish between ischemic and nonischemic myocardium compared with invasive FFR.26,44,48,56,57 The lack of uniformity may be attributed to variation in study protocols, the use of different scanners, and mathematical algorithms.26,48,56 More recently, a study by Meinel et al58 has also demonstrated the utility of dynamic CTP with DSCT scanner in the quantitative assessment of global left ventricular perfusion. Whole-heart perfusion was lower in patients with perfusion defects and decreased with an increasing extent of obstructive CAD, demonstrating the clinical feasibility of differentiating patients with normal perfusion from patients with 3-vessel obstructive CAD causing balanced ischemia.58

Furthermore, a recent study has shown that a relative MBF measurement (an absolute MBF-to-remote MBF ratio) may outperform absolute measures of MBF with a superior correlation with invasive FFR for detecting hemodynamically significant coronary lesions.56 Some results were recently confirmed in a retrospective multicenter registry of 137 patients, in which the MBF ratio allowed a superior discrimination of obstructive CAD as detected by CTA compared with absolute MBF.57

Although a relative MBF may correct for intra-individual systemic variations in MBF, numerous other factors are known to modify the inter- and intra-individual MBF: age, sex, body mass index, hemodynamic (comprising differences in vasodilator responsiveness), anatomic, metabolic, myogenic, endothelial, and neural mechanisms acting at different levels of the vascular tree, and methodological aspects (variations in contrast dose and injection technique as well as scanning protocols and different scanner types).11,48,56 Further studies are needed to confirm the superiority of the normalized measurement of the MBF or other potential physiologic parameters with respect to absolute quantitative metrics.

While a human study has shown similar high diagnostic accuracy for ischemia prediction as detected by FFR of the single-shot CTP and the MBF parameter derived from dynamic CTP,26 a large animal study has demonstrated a significantly better performance of quantitative MBF compared with the static single-phase myocardial attenuation value.54 In particular, a notable difference in accuracy was demonstrated at lower degree of stenosis (50%), thus resulting in better discriminatory power for dynamic CTP with respect to static CTP in detecting ischemic myocardium.54

The results of initial meta-analyses have confirmed the high accuracy of CTP, although significant heterogeneity was a potential limitation of these analyses.59,60 In particular, a meta-analysis by Takx et al59 evaluating the accuracy of different myocardial perfusion techniques in comparison with FFR, indicated that CTP performed similarly to MRI and positron emission tomography and better than SPECT and echocardiography. Pooled results of another meta-analysis including 22 studies (1507 patients) comparing CTP to reference standards, including invasive coronary angiography, SPECT, and MRI, showed acceptable diagnostic performance for all myocardial perfusion CTP techniques (static and dynamic CTP) with sensitivity ranging from 75% to 89% and specificity from 78% to 95%.60

STRENGTHS AND LIMITATIONS

Stress CTP still has a number of limitations, some of which will eventually be overcome as CT technology improves. Optimal scan acquisition parameters and reconstruction methods, post-processing, and standardized interpretation of stress CTP are still under investigation. Beam hardening and motion artifacts may hamper the diagnostic accuracy of stress CTP, but correction algorithms that may mitigate these effects are readily available. Furthermore, radiation exposure is also likely to decrease as CT technology advances, for example by employing iterative reconstruction methods for dynamic CTP imaging without affecting image quality.50 Stress CTP studies have been performed with and without beta-blockade, which may have influenced myocardial perfusion assessment. Finally, most of the current evidence on CTP comes from single-center studies with a limited number of enrolled patients. However, CTP has superior spatial resolution to SPECT, the most widely used functional imaging technique in routine clinical practice, which may allow detection of smaller, especially subendocardial perfusion defects. Furthermore, CTP provides “one-stop shop” imaging with the unique advantage of achieving integrated anatomic and functional evaluation in a single examination. These strengths potentially make CTP a more effective gatekeeper to invasive coronary angiography with better stratification of patients who would benefit from revascularization.

CONCLUSIONS AND FUTURE PROSPECTS

The rapid technological progress in cardiac imaging has dramatically widened the application of CTA in the assessment of ischemic cardiomyopathy, enabling pharmacological stress myocardial CTP imaging. This modality is highly appealing and is able to improve diagnostic accuracy, particularly the specificity and positive predictive value of coronary CTA.

Stress CTP has the potential to evaluate a broad spectrum of coronary vascular dysfunction: from microvascular dysfunction related to cardiovascular risk factors and advanced diffuse nonobstructive atherosclerosis, to intermediate-to-severe stenosis or multivessel CAD. Stress CTP may increase diagnostic accuracy in the assessment of stent patency and diffusely calcified coronary tree.61,62

Further studies seem to be warranted to demonstrate the noninferiority of the static single-phase protocol with respect to dynamic stress CTP, since the dynamic time-resolved technique provides fully quantitative data but at the price of a higher dose due to the extended imaging time. It's probable that in the near future the choice of the optimal acquisition protocol and pattern for analysis to accurately assess the left ventricular myocardial perfusion will be driven by various factors, including technical aspects (type of imaging platform used) and patient-based variables (patient's physical condition, coronary status, and pretest probability of CAD).

Future prospects may include further technological improvements in both hardware (better sensitivity and a wider range of the detector system, higher temporal and spatial resolution, and DE implementation) and software updates (enabling post-processing standardization which is needed for more accurate and reproducible data analysis and successful clinical implementation).

We are positive about the future usefulness of myocardial CTP. Even though the diagnostic validation of CTP is still ongoing, the potential role of CTP as a diagnostic tool in detecting hemodynamically significant CAD is promising and merits further investigation. Results from the first controlled studies are outstanding and encouraging, but, as technology continues to evolve, further larger, multicenter trials are warranted to demonstrate the effective clinical role of CTP and its economic impact in relation to other functional imaging modalities.

Finally, although myocardial perfusion is historically a strong estimator of outcome, the prognostic implication of perfusion defects as assessed by CTP must be completely defined. We thus eagerly await studies assessing the prognostic value of CTP imaging for the prediction of future cardiac events, which will strengthen its diagnostic role in clinical practice.

CONFLICTS OF INTEREST

None declared.

References
[1]
L. Yang, T. Zhou, R. Zhang, L. Xu, Z. Peng, J. Ding, et al.
Meta-analysis: diagnostic accuracy of coronary CT angiography with prospective ECG gating based on step-and-shoot, Flash and volume modes for detection of coronary artery disease.
Eur Radiol., (2014), 24 pp. 2345-2352
[2]
P. Mahía-Casado, R. García-Orta, J.J. Gómez de Diego, J. Barba-Cosials, J.F. Rodríguez-Palomares, S. Aguadé-Bruix.
Novedades en imagen cardiaca 2014.
Rev Esp Cardiol., (2015), 68 pp. 129-135
[3]
M. Descalzo, R. Leta, X. Rosselló, X. Alomar, F. Carreras, G. Pons-Lladó.
Enfermedad coronaria subclínica por tomografía computarizada multidetector en población asintomática estratificada por nivel de riesgo coronario.
Rev Esp Cardiol., (2013), 66 pp. 504-505
[4]
G.L. Raff, K.M. Chinnaiyan.
Papel del angio-TAC coronario en la clasificación precoz de los pacientes con dolor torácico agudo.
Rev Esp Cardiol., (2009), 62 pp. 961-965
[5]
P.A. Tonino, W.F. Fearon, B. De Bruyne, K.G. Oldroyd, M.A. Leesar, P.N. Ver Lee, et al.
Angiographic versus functional severity of coronary artery stenoses in the FAME study fractional flow reserve versus angiography in multivessel evaluation.
J Am Coll Cardiol., (2010), 55 pp. 2816-2821
[6]
W.E. Boden, R.A. O’Rourke, K.K. Teo, P.M. Hartigan, D.J. Maron, W.J. Kostuk, COURAGE Trial Research Group, et al.
Optimal medical therapy with or without PCI for stable coronary disease.
N Engl J Med., (2007), 356 pp. 1503-1516
[7]
R.L. Frye, P. August, M.M. Brooks, R.M. Hardison, S.F. Kelsey, J.M. MacGregor, BARI 2D Study Group, et al.
A randomized trial of therapies for type 2 diabetes and coronary artery disease.
N Engl J Med., (2009), 360 pp. 2503-2515
[8]
J.M. Van Werkhoven, J.D. Schuijf, O. Gaemperli, J.W. Jukema, E. Boersma, W. Wijns, et al.
Prognostic value of multislice computed tomography and gated single-photon emission computed tomography in patients with suspected coronary artery disease.
J Am Coll Cardiol., (2009), 53 pp. 623-632
[9]
A. Rossi, D. Merkus, E. Klotz, N. Mollet, P.J. De Feyter, G.P. Krestin.
Stress myocardial perfusion: imaging with multidetector CT.
Radiology., (2014), 270 pp. 25-46
[10]
M. Salerno, G.A. Beller.
Noninvasive assessment of myocardial perfusion.
Circ Cardiovasc Imaging., (2009), 2 pp. 412-424
[11]
D.J. Duncker, A. Koller, D. Merkus, J.M. Canty Jr..
Regulation of coronary blood flow in health and ischemic heart disease.
Prog Cardiovasc Dis., (2015), 57 pp. 409-422
[12]
T. Techasith, R.C. Cury.
Stress myocardial CT perfusion: an update and future perspective.
JACC Cardiovasc Imaging., (2011), 4 pp. 905-916
[13]
S.M. Ko, J.W. Choi, H.K. Hwang, M.G. Song, J.K. Shin, H.K. Chee.
Diagnostic performance of combined noninvasive anatomic and functional assessment with dual-source CT and adenosine-induced stress dual-energy CT for detection of significant coronary stenosis.
AJR Am J Roentgenol., (2012), 198 pp. 512-520
[14]
C. Delgado, M. Vázquez, R. Oca, M. Vilar, C. Trinidad, M. Sanmartín.
Evaluación de la isquemia miocárdica con tomografía computarizada de doble fuente: comparación con la resonancia magnética.
Rev Esp Cardiol., (2013), 66 pp. 864-870
[15]
B. Bischoff, F. Bamberg, R. Marcus, F. Schwarz, H.C. Becker, A. Becker, et al.
Optimal timing for first-pass stress CT myocardial perfusion imaging.
Int J Cardiovasc Imaging., (2013), 29 pp. 435-442
[16]
S.M. Kim, Y.N. Kim, Y.H. Choe.
Adenosine-stress dynamic myocardial perfusion imaging using 128-slice dual-source CT: optimization of the CT protocol to reduce the radiation dose.
Int J Cardiovasc Imaging., (2013), 29 pp. 875-884
[17]
R. Blankstein, L.D. Shturman, I.S. Rogers, J.A. Rocha-Filho, D.R. Okada, A. Sarwar, et al.
Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography.
J Am Coll Cardiol., (2009), 54 pp. 1072-1084
[18]
J.A. Rocha-Filho, R. Blankstein, L.D. Shturman, H.G. Bezerra, D.R. Okada, I.S. Rogers, et al.
Incremental value of adenosine-induced stress myocardial perfusion imaging with dual-source CT at cardiac CT angiography.
Radiology., (2010), 254 pp. 410-419
[19]
R.T. George, A. Arbab-Zadeh, J.M. Miller, A.L. Vavere, F.M. Bengel, A.C. Lardo, et al.
Computed tomography myocardial perfusion imaging with 320-row detector computed tomography accurately detects myocardial ischemia in patients with obstructive coronary artery disease.
Circ Cardiovasc Imaging., (2012), 5 pp. 333-340
[20]
A. Nasis, B.S. Ko, M.C. Leung, P.R. Antonis, D. Nandurkar, D.T. Wong, et al.
Diagnostic accuracy of combined coronary angiography and adenosine stress myocardial perfusion imaging using 320-detector computed tomography: pilot study.
Eur Radiol., (2013), 23 pp. 1812-1821
[21]
G. Feuchtner, R. Goetti, A. Plass, M. Wieser, H. Scheffel, C. Wyss, et al.
Adenosine stress high-pitch 128-slice dual-source myocardial computed tomography perfusion for imaging of reversible myocardial ischemia: comparison with magnetic resonance imaging.
Circ Cardiovasc Imaging., (2011), 4 pp. 540-549
[22]
E. Maffei, C. Martini, S. De Crescenzo, T. Arcadi, A. Clemente, E. Capuano, et al.
Low dose CT of the heart: a quantum leap into a new era of cardiovascular imaging.
Radiol Med., (2010), 115 pp. 1179-1207
[23]
R. Vliegenthart, G.J. Pelgrim, U. Ebersberger, G.W. Rowe, M. Oudkerk, U.J. Schoepf.
Dual-energy CT of the heart.
AJR Am J Roentgenol., (2012), 199 pp. S54-S63
[24]
F.G. Meinel, C.N. De Cecco, U.J. Schoepf, J.W. Nance Jr., J.R. Silverman, B.A. Flowers, et al.
First-arterial-pass dual-energy CT for assessment of myocardial blood supply: do we need rest, stress, and delayed acquisition? Comparison with SPECT.
Radiology., (2014), 270 pp. 708-716
[25]
F. Morsbach, S. Gordic, L. Desbiolles, D. Husarik, T. Frauenfelder, B. Schmidt, et al.
Performance of turbo high-pitch dual-source CT for coronary CT angiography: first ex vivo and patient experience.
Eur Radiol., (2014), 24 pp. 1889-1895
[26]
A.M. Huber, V. Leber, B.M. Gramer, D. Muenzel, A. Leber, J. Rieber, et al.
Myocardium: dynamic versus single-shot CT perfusion imaging.
Radiology., (2013), 269 pp. 378-386
[27]
G. Bastarrika, L. Ramos-Duran, M.A. Rosenblum, D.K. Kang, G.W. Rowe, U.J. Schoepf, et al.
Adenosine-stress dynamic myocardial CT perfusion imaging: initial clinical experience.
Invest Radiol., (2010), 45 pp. 306-313
[28]
K.T. Ho, K.C. Chua, E. Klotz, C. Panknin.
Stress and rest dynamic myocardial perfusion imaging by evaluation of complete time-attenuation curves with dual-source CT.
JACC Cardiovasc Imaging., (2010), 3 pp. 811-820
[29]
W. Al Jaroudi, A.E. Iskandrian.
Regadenoson: a new myocardial stress agent.
J Am Coll Cardiol., (2009), 54 pp. 1123-1130
[30]
V.C. Mehra, C. Valdiviezo, A. Arbab-Zadeh, B.S. Ko, S.K. Seneviratne, R. Cerci, et al.
A stepwise approach to the visual interpretation of CT-based myocardial perfusion.
J Cardiovasc Comput Tomogr., (2011), 5 pp. 357-369
[31]
R.C. Cury, T.A. Magalhães, A.T. Paladino, A.A. Shiozaki, M. Perini, T. Senra, et al.
Dipyridamole stress and rest transmural myocardial perfusion ratio evaluation by 64 detector-row computed tomography.
J Cardiovasc Comput Tomogr., (2011), 5 pp. 443-448
[32]
B.S. Ko, J.D. Cameron, M. Leung, I.T. Meredith, D.P. Leong, P.R. Antonis, et al.
Combined CT coronary angiography and stress myocardial perfusion imaging for hemodynamically significant stenoses in patients with suspected coronary artery disease: a comparison with fractional flow reserve.
JACC Cardiovasc Imaging., (2012), 5 pp. 1097-1111
[33]
N. Bettencourt, N.D. Ferreira, D. Leite, M. Carvalho, S. Ferreira Wda, A. Schuster, et al.
CAD detection in patients with intermediate-high pre-test probability: low-dose CT delayed enhancement detects ischemic myocardial scar with moderate accuracy but does not improve performance of a stress-rest CT perfusion protocol.
JACC Cardiovasc Imaging., (2013), 6 pp. 1062-1071
[34]
D.T. Wong, B.S. Ko, J.D. Cameron, D.P. Leong, M.C. Leung, Y. Malaiapan, et al.
Comparison of diagnostic accuracy of combined assessment using adenosine stress computed tomography perfusion + computed tomography angiography with transluminal attenuation gradient + computed tomography angiography against invasive fractional flow reserve.
J Am Coll Cardiol., (2014), 63 pp. 1904-1912
[35]
C.E. Rochitte, R.T. George, M.Y. Chen, A. Arbab-Zadeh, M. Dewey, J.M. Miller, et al.
Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study.
Eur Heart J., (2014), 35 pp. 1120-1130
[36]
R.T. George, V.C. Mehra, M.Y. Chen, K. Kitagawa, A. Arbab-Zadeh, J.M. Miller, et al.
Myocardial CT perfusion imaging and SPECT for the diagnosis of coronary artery disease: a head-to-head comparison from the CORE320 multicenter diagnostic performance study.
Radiology., (2014), 272 pp. 407-416
[37]
D.H. Yang, Y.H. Kim, J.H. Roh, J.W. Kang, D. Han, J. Jung, et al.
Stress myocardial perfusion CT in patients suspected of having coronary artery disease: visual and quantitative analysis-validation by using fractional flow reserve.
Radiology., (2015), 276 pp. 715-723
[38]
T.A. Magalhães, S. Kishi, R.T. George, A. Arbab-Zadeh, A.L. Vavere, C. Cox, et al.
Combined coronary angiography and myocardial perfusion by computed tomography in the identification of flow-limiting stenosis—The CORE320 study: An integrated analysis of CT coronary angiography and myocardial perfusion.
J Cardiovasc Comput Tomogr., (2015), 9 pp. 438-445
[39]
R.C. Cury, T.M. Kitt, K. Feaheny, R. Blankstein, B.B. Ghoshhajra, M.J. Budoff, et al.
A randomized, multicenter, multivendor study of myocardial perfusion imaging with regadenoson CT perfusion vs single photon emission CT.
J Cardiovasc Comput Tomogr., (2015), 9 pp. 103-112
[40]
T. Kido, K. Watanabe, H. Saeki, S. Shigemi, T. Matsuda, M. Yamamoto, et al.
Adenosine triphosphate stress dual-source computed tomography to identify myocardial ischemia: comparison with invasive coronary angiography.
Springerplus., (2014), 3 pp. 75
[41]
S.M. Kim, S.A. Chang, W. Shin, Y.H. Choe.
Dual-energy CT perfusion during pharmacologic stress for the assessment of myocardial perfusion defects using a second-generation dual-source CT: a comparison with cardiac magnetic resonance imaging.
J Comput Assist Tomogr., (2014), 38 pp. 44-52
[42]
S.M. Ko, J.H. Park, H.K. Hwang, M.G. Song.
Direct comparison of stress- and rest-dual-energy computed tomography for detection of myocardial perfusion defect.
Int J Cardiovasc Imaging., (2014), 30 pp. 41-53
[43]
S.M. Ko, M.G. Song, H.K. Chee, H.K. Hwang, G.M. Feuchtner, J.K. Min.
Diagnostic performance of dual-energy CT stress myocardial perfusion imaging: direct comparison with cardiovascular MRI.
AJR Am J Roentgenol., (2014), 203 pp. W605-W613
[44]
F. Bamberg, A. Becker, F. Schwarz, R.P. Marcus, M. Greif, F. von Ziegler, et al.
Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging.
Radiology., (2011), 260 pp. 689-698
[45]
Y. Wang, L. Qin, X. Shi, Y. Zeng, H. Jing, U.J. Schoepf, et al.
Adenosine-stress dynamic myocardial perfusion imaging with second-generation dual-source CT: comparison with conventional catheter coronary angiography and SPECT nuclear myocardial perfusion imaging.
AJR Am J Roentgenol., (2012), 198 pp. 521-529
[46]
M. Greif, F. Von Ziegler, F. Bamberg, J. Tittus, F. Schwarz, M. D’Anastasi, et al.
CT stress perfusion imaging for detection of haemodynamically relevant coronary stenosis as defined by FFR.
Heart., (2013), 99 pp. 1004-1011
[47]
F. Bamberg, R.P. Marcus, A. Becker, K. Hildebrandt, K. Bauner, F. Schwarz, et al.
Dynamic myocardial CT perfusion imaging for evaluation of myocardial ischemia as determined by MR imaging.
JACC Cardiovasc Imaging., (2014), 7 pp. 267-277
[48]
A. Rossi, A. Dharampal, A. Wragg, L.C. Davies, R.J. Van Geuns, C. Anagnostopoulos, et al.
Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography: does it predict functionally significant coronary lesions?.
Eur Heart J Cardiovasc Imaging., (2014), 15 pp. 85-94
[49]
M. Fujita, K. Kitagawa, T. Ito, Y. Shiraishi, Y. Kurobe, M. Nagata, et al.
Dose reduction in dynamic CT stress myocardial perfusion imaging: comparison of 80-kV/370-mAs and 100-kV/300-mAs protocols.
Eur Radiol., (2014), 24 pp. 748-755
[50]
Y. Tao, G.-H. Chen, T.A. Hacker, A.N. Raval, M.S. Van Lysel, M.A. Speidel.
Low dose dynamic CT myocardial perfusion imaging using a statistical iterative reconstruction method.
Medical Physics., (2014), 41 pp. 071914
[51]
Q.A. Truong, P. Knaapen, G. Pontone, D. Andreini, J. Leipsic, P. Carrascosa, et al.
Rationale and design of the dual-energy computed tomography for ischemia determination compared to “gold standard” non-invasive and invasive techniques (DECIDE-Gold): A multicenter international efficacy diagnostic study of rest-stress dual-energy computed tomography angiography with perfusion.
J Nucl Cardiol., (2015), 22 pp. 1031-1040
[52]
F. Bamberg, R. Hinkel, F. Schwarz, T.A. Sandner, E. Baloch, R. Marcus, et al.
Accuracy of dynamic computed tomography adenosine stress myocardial perfusion imaging in estimating myocardial blood flow at various degrees of coronary artery stenosis using a porcine animal model.
Invest Radiol., (2012), 47 pp. 71-77
[53]
A. Rossi, A. Uitterdijk, M. Dijkshoorn, E. Klotz, A. Dharampal, M. Van Straten, et al.
Quantification of myocardial blood flow by adenosine-stress CT perfusion imaging in pigs during various degrees of stenosis correlates well with coronary artery blood flow and fractional flow reserve.
Eur Heart J Cardiovasc Imaging., (2013), 14 pp. 331-338
[54]
F. Schwarz, R. Hinkel, E. Baloch, R.P. Marcus, K. Hildebrandt, T.A. Sandner, et al.
Myocardial CT perfusion imaging in a large animal model: comparison of dynamic versus single-phase acquisitions.
JACC Cardiovasc Imaging., (2013), 6 pp. 1229-1238
[55]
F. Bamberg, R. Hinkel, R.P. Marcus, E. Baloch, K. Hildebrandt, F. Schwarz, et al.
Feasibility of dynamic CT-based adenosine stress myocardial perfusion imaging to detect and differentiate ischemic and infarcted myocardium in an large experimental porcine animal model.
Int J Cardiovasc Imaging., (2014), 30 pp. 803-812
[56]
A.K. Kono, A. Coenen, M. Lubbers, A. Kurata, A. Rossi, A. Dharampal, et al.
Relative myocardial blood flow by dynamic computed tomographic perfusion imaging predicts hemodynamic significance of coronary stenosis better than absolute blood flow.
Invest Radiol., (2014), 49 pp. 801-807
[57]
J.L. Wichmann, F.G. Meinel, U.J. Schoepf, G.G. Lo, Y.H. Choe, Y. Wang, et al.
Absolute versus relative myocardial blood flow by dynamic CT myocardial perfusion imaging in patients with anatomic coronary artery disease.
AJR Am J Roentgenol., (2015), 205 pp. W67-W72
[58]
F.G. Meinel, U. Ebersberger, U.J. Schoepf, G.G. Lo, Y.H. Choe, Y. Wang, et al.
Global quantification of left ventricular myocardial perfusion at dynamic CT: feasibility in a multicenter patient population.
AJR Am J Roentgenol., (2014), 203 pp. W174-W180
[59]
R.A. Takx, B.A. Blomberg, H. El Aidi, J. Habets, P.A. De Jong, E. Nagel, et al.
Diagnostic accuracy of stress myocardial perfusion imaging compared to invasive coronary angiography with fractional flow reserve meta-analysis.
Circ Cardiovasc Imaging., (2015), 8
[60]
G.J. Pelgrim, M. Dorrius, X. Xie, M.A. Den Dekker, U.J. Schoepf, T. Henzler, et al.
The dream of a one-stop-shop: Meta-analysis on myocardial perfusion CT.
Eur J Radiol., (2015), 84 pp. 2411-2420
[61]
M. Rief, E. Zimmermann, F. Stenzel, P. Martus, K. Stangl, J. Greupner, et al.
Computed tomography angiography and myocardial computed tomography perfusion in patients with coronary stents: prospective intraindividual comparison with conventional coronary angiography.
J Am Coll Cardiol., (2013), 62 pp. 1476-1485
[62]
R.K. Sharma, A. Arbab-Zadeh, S. Kishi, M.Y. Chen, T.A. Magalhães, R.T. George, et al.
Incremental diagnostic accuracy of computed tomography myocardial perfusion imaging over coronary angiography stratified by pre-test probability of coronary artery disease and severity of coronary artery calcification: The CORE320 study.
Int J Cardiol., (2015), 201 pp. 570-577
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