Skip to main content
The Canadian Journal of Cardiology logoLink to The Canadian Journal of Cardiology
. 2007 Feb;23(2):107–119. doi: 10.1016/s0828-282x(07)70730-4

CCS/CAR/CANM/CNCS/CanSCMR joint position statement on advanced noninvasive cardiac imaging using positron emission tomography, magnetic resonance imaging and multidetector computed tomographic angiography in the diagnosis and evaluation of ischemic heart disease – executive summary

RSB Beanlands 1,, BJW Chow 1, A Dick 1, MG Friedrich 1, KY Gulenchyn 1, M Kiess 1, H Leong-Poi 1, RM Miller 1, G Nichol 1, M Freeman 1, P Bogaty 1, G Honos 1, G Hudon 1, G Wisenberg 1, J Van Berkom 1, K Williams 1, K Yoshinaga 1, J Graham, on behalf of the Canadian Cardiovascular Society, the Canadian Association of Radiologists, the Canadian Association of Nuclear Medicine, the Canadian Nuclear Cardiology Society and the Canadian Society of Cardiac Magnetic Resonance1
PMCID: PMC2650646  PMID: 17311116

Abstract

BACKGROUND:

Over the past few decades, advanced imaging modalities with excellent diagnostic capabilities have emerged. The aim of the present position statement was to systematically review existing literature to define Canadian recommendations for their clinical use.

METHODS:

A systematic literature review to 2005 was conducted for positron emission tomography (PET), multidetector computed tomographic angiography and magnetic resonance imaging (MRI) in ischemic heart disease. Papers that met the criteria were reviewed for accuracy, prognosis data and study quality. Recommendations were presented to primary and secondary panels of experts, and consensus was achieved.

RESULTS:

Indications for PET include detection of coronary artery disease (CAD) with perfusion imaging, and defining viability using fluorodeoxyglucose to determine left ventricular function recovery and/or prognosis after revascularization (class I). Detection of CAD in patients, vessel segments and grafts using computed tomographic angiography was considered class IIa at the time of the literature review. Dobutamine MRI is class I for CAD detection and, along with late gadolinium enhancement MRI, class I for viability detection to predict left ventricular function recovery. Imaging must be performed at institutions and interpreted by physicians with adequate experience and training.

CONCLUSIONS:

Cardiac imaging using advanced modalities (PET, multidetector computed tomographic angiography and MRI) is useful for CAD detection, viability definition and, in some cases, prognosis. These modalities complement the more widespread single photon emission computed tomography and echocardiography. Given the rapid evolution of technology, initial guidelines for clinical use will require regular updates. Evaluation of their integration in clinical practice should be ongoing; optimal use will require proper training. A joint effort among specialties is recommended to achieve these goals.

Keywords: Coronary artery disease detection and prognosis, Computed tomographic angiography, Magnetic resonance imaging, Positron emission tomography, Viability detection and prognosis


Noninvasive methods for diagnosis and risk stratification remain the cornerstone in the management of patients with heart disease. Over the past few decades, advanced imaging modalities with excellent diagnostic capabilities have emerged; however, these techniques are costly and require specific advanced training. While several professional organizations and governments have established recommendations for advanced imaging technologies (13), Canadian recommendations had not previously been developed. Therefore, the aim of the present position statement was to systematically review the existing literature, recommend indications for the clinical use of these modalities, and define areas requiring further research and investigation.

The Canadian Cardiovascular Society, the Canadian Association of Radiologists, the Canadian Association of Nuclear Medicine, the Canadian Nuclear Cardiology Society and the Canadian Society of Cardiac Magnetic Resonance had identified advanced cardiac imaging as a priority for assessment. Primary and secondary panels of experts and practitioners were assembled (Appendix 1). Given the scope and timelines, it was agreed that the present position paper would focus on ischemic heart disease (IHD) (detection, prognosis and viability), with future position statements and/or guidelines focusing on ventricular function and non-IHD. A summary of the findings and recommendations is found herein; the full text may be found at <www.ccs.ca>.

METHODS FOR STUDY IDENTIFICATION

A systematic literature review was conducted for the three imaging modalities: positron emission tomography (PET), magnetic resonance imaging (MRI) and multidetector computed tomography (MDCT) angiography. Searches for each modality were divided into four categories: coronary artery disease (CAD), and/or ischemia detection and diagnosis; CAD prognostication; myocardial viability detection; and viability prognostication. Further details of the systematic review are noted in the full text at <www.ccs.ca>. Databases searched include Medline (1966 to June 2005), Embase (1980 to June 2005), Cochrane, Issue 3, 2005 and other evidence-based medicine Web sites, such as that of the Agency for Healthcare Research and Quality. When a published meta-analysis existed, searches were started from this point forward. Literature was updated by the imaging subgroups beyond the primary search strategy time period when key references were identified that met inclusion criteria.

All members of the subgroup reviewed the papers for their specific modality, and sensitivity and specificity tables were completed. The study quality of each paper reviewed was also assessed using the quality information questionnaire from the University of Alberta Evidence Based Medicine Working Group: <www.med.ualberta.ca/ebm/diagworksheet.htm> and <www.med.ualberta.ca/ebm/prognosisworksheet.htm>.

Based on the data review, preliminary draft recommendations were prepared and presented to the primary and secondary panels using the standard scoring methods adapted from previous guidelines on imaging from the American College of Cardiology, the American Heart Association and the American Society of Nuclear Cardiology (Appendix 2). Consensus was then achieved. The recommendations are presented.

PET

Given the large number of studies using PET, additional restrictions on search material were applied. For CAD detection, studies were excluded if they involved tracers other than rubidium-82 and N-13 ammonia, applied flow quantification as the only method for defining disease or involved fewer than 20 patients. For prognosis, only studies that considered PET findings in the prediction of outcomes were considered.

Detection and prognosis of CAD: Myocardial perfusion imaging (MPI), using rubidium-82 or N-13 ammonia PET, is a widely accepted technique (1,2). Images are acquired at rest and during pharmacological stress. PET MPI has often been considered the most accurate noninvasive means for detecting functionally significant CAD (1,2). It is considered to be at least as accurate as single photon emission computed tomography (SPECT) MPI. One advantage of PET MPI is its use of accurate and reliable attenuation correction, which improves specificity and probably also sensitivity. This feature may be particularly relevant in patients with obesity or a body habitus prone to attenuation artifact. PET also provides high spatial resolution among nuclear imaging techniques.

The mean sensitivity and specificity of PET MPI for detection of CAD are 89% and 89% (Table 1), with ranges from 83% to 100% and 73% to 100%, respectively. A recent study by Bateman et al (4) demonstrated superior diagnostic accuracy and normalcy rates for gated PET MPI compared with gated SPECT MPI (P=0.02). Recent advances in PET, including PET/computed tomography (PET/CT), are currently being evaluated in multicentre studies such as the Study of Perfusion and Anatomy’s Role in CAD (SPARC [5]).

TABLE 1.

Positron emission tomography coronary artery disease (CAD) diagnosis

Author Year Patients, n Stress Tracer Reference coronary angiogram Sensitivity
Specificity
Positive test Patients with CAD % Negative test Patients without CAD %
Schelbert HR 1982 45 Dipyridamole 13NH3 >50% 31 32 97 13 13 100
Tamaki N 1985 25 Exercise 13 NH3 Not reported 18 19 95 6 6 100
Yonekura Y 1987 50 Exercise 13NH3 >75% 37 38 97 12 12 100
Tamaki N 1988 51 Exercise 13NH3 >50% 47 48 98 3 3 100
Gould L* 1986 50 Dipyridamole 82Rb/13NH3 QCA SFR <3 21 22 95 9 9 100
Demer L* 1989 193 Dipyridamole 82Rb/13NH3 QCA SFR <4 126 152 83 39 41 95
Go RT 1990 202 Dipyridamole 82Rb >50% 142 152 93 39 50 78
Stewart RE 1991 81 Dipyridamole 82Rb QCA >50% 50 60 83 18 21 86
Marwick T 1992 74 Dipyridamole 82Rb >50% 63 70 90 4 4 100
Grover McKay 1992 31 Dipyridamole 82Rb >50% 16 16 100 11 15 73
Laubenbacher 1993 34 Dipyridamole/adenosine 13NH3 QCA >50% 14 16 88 15 18 83
Bateman TM 2006 112 Dipyridamole 82Rb >50% 64 74 86 38 38 100
Williams BR§ 1994 287 Dipyridamole 82Rb >67% 88 101 87 99 112 88
Simone GL§ 1992 225 Dipyridamole 82Rb >67% § § 83 § § 91
Totals + weighted mean 1460 696 778 89 297 333 89
Weighted mean, excluding retrospective studies 544 603 90 160 183 87
Nonweighted mean 91 91

For complete reference list, see the full text at <www.ccs.ca>.

*

Demer reported that 50 patients in Gould et al 1986 were included, thus the study by Gould et al was not included in mean calculations;

Other cut-offs reported; >50% noted here;

Electronic database, matched cohort design; values derived from reported population, sensitivity and specificity;

§

Retrospective study; myocardial perfusion imaging influenced coronary angiogram decision; mixed patient and region method for sensitivity and specificity; patients with disease could not be easily determined in one study. 13NH3 N-13 ammonia; 82Rb Rubidium-82; SFR Stenosis flow reserve based on quantitative coronary angiography (QCA) data

A normal PET MPI result indicates an excellent prognosis. Hard cardiac event rates range from 0.09% to 0.9%, depending on the population and the definition of normal (68). These rates are comparable with those of SPECT MPI. Patients with abnormal PET MPI have a worse prognosis, with a death rate of 4.3% per year or a hard event rate of 7.0% per year (for moderate to severe defects) (7). PET MPI also appears to have prognostic value in specific subpopulations with obesity or those referred after nondiagnostic SPECT MPI (Table 2) (7).

TABLE 2.

Positron emission tomography coronary artery disease prognosis

Author Year Patient number Stress Tracer Outcomes Follow-up, years Normal scan – annual event rate/year, %
Abnormal scan – annual event rate/year, %
Hard events Total events Hard events Total events
Yoshinaga 2006 367 Dipyridamole 82Rb Death, MI, revascularization, hospitalization 3.1 0.4 1.7 Mild: 2.3; moderate and severe: 7.0 Mild: 12.9; moderate and severe: 13.2
Chow 2005 629 Dipyridamole 82Rb Death, MI, revascularization, coronary angiogram 2.3 0.09 0.98 ECG positive, normal MP: 0.6 ECG positive, normal MP: 1.9
Marwick T 1997 581 Dipyridamole 82Rb Death, MI, revascularization, unstable angina 3.4 0.9 4 4 7
Marwick T 1995 Prediction of perioperative and late cardiac events before vascular surgery*
MacIntrye 1993 Outcomes in patients with false-negative thallium-201 single photon emission computed tomography*

For complete reference list, see the full text at <www.ccs.ca>.

*

See full text for details. ECG Electrocardiogram; MI Myocardial infarction; MP Myocardial perfusion; 82 Rb Rubidium-82

Exercise PET, quantification of myocardial blood flow (2) and preoperative assessment are discussed in greater detail in the full position statement at <www.ccs.ca>.

MPI USING PET FOR DIAGNOSIS AND/OR RISK STRATIFICATION OF CAD

Recommendations

Cardiac PET MPI interpretation should be carried out only by physicians and institutions with adequate training and experience.

Class I indications

  1. Pharmacological MPI using PET for the diagnosis of CAD (diagnosis is intended for patients with intermediate pretest likelihood of disease) and/or risk stratification of patients who:
    1. have nondiagnostic, noninvasive imaging tests, or when such a test does not agree with clinical diagnosis (Level B evidence);
    2. may be prone to artifact that could lead to an equivocal result on another test, such as obese patients (Level B evidence);
    3. are unable to exercise, or have left bundle branch block or ventricular pacing (Level B evidence).

Class IIa indications

  1. Pharmacological MPI using PET for the diagnosis of CAD (diagnosis is intended for patients with intermediate pretest likelihood of disease) and/or risk stratification of patients who are able to exercise (Level B evidence);

  2. For diagnosis and risk stratification of patients being considered for high-risk noncardiac surgery who have intermediate clinical risk predictors or mild clinical risk predictors with poor functional capacity (less than four metabolic equivalents) (Level B/C evidence).

Class IIb indications

  1. Exercise PET using MPI for the diagnosis of CAD and/or risk stratification (Level B evidence);

  2. Quantification of myocardial flow to determine the hemodynamic significance of a given coronary stenosis or to diagnose balanced multivessel disease (Level B/C evidence);

  3. Quantification of myocardial flow to define impaired microvascular function (eg, syndrome X) (Level B/C evidence).

Class III (no benefit or harmful)

  1. Contraindications to all pharmacological agents (dipyridamole, adenosine, dobutamine);

  2. Unstable pattern of ischemic chest pain;

  3. Contraindications to radiation exposure.

Myocardial viability diagnosis: In addition to the restrictions noted above, additional exclusion criteria were applied to 18-F fluorodeoxyglucose (FDG) viability imaging studies. Excluded were studies with a sample size 20 or less, mean ejection fraction (EF) 40% or greater, early postmyocardial infarction (10 days or less), left ventricular (LV) recovery evaluation eight weeks or less, or lack of LV recovery or outcome evaluation.

FDG PET imaging has long been regarded as the best standard for detection of viable recoverable myocardium (2). In a comprehensive review of all prior published viability studies, Bax et al (9) identified that FDG PET was the most sensitive method for predicting wall motion recovery, while dobutamine echocardiography was the most specific. These methods provide accurate means for predicting recovery of function after revascularization (2,9). PET-defined scar tissue and hibernating myocardium may be combined with clinical parameters to predict LV function recovery. This approach is currently being evaluated in a randomized controlled trial (RCT).

The sensitivity and specificity of FDG PET for LV function recovery are 91% and 61% (Table 3) (9), with ranges from 80% to 100% and 44% to 92%, respectively. Lower specificity likely relates to incomplete revascularization or failure to account for prolonged LV function recovery. With higher sensitivity than other methods, FDG PET has the potential to more definitively rule out viable myocardium. This is often helpful in selecting patients with LV dysfunction for revascularization.

TABLE 3.

Positron emission tomography viability diagnosis (ejection fraction [EF] less than 40%)

Author Year Patients, n EF, % Tracer Reference method Sensitivity
Specificity
Positive test Patients/segments with recovery % Negative test Patients/segments without recovery %
Bax (meta-analysis) 20 studies 2001 598 36±8 18FDG WM/EF, 4.1 m FU 751 807 93 417 725 58
Barrington* 2004 25 36 13NH3/18FDG uptake + MM WM, 8 m FU 6 6 100 23 25 92
Bax, Visser 2001 47 30 201Tl/18FDG SPECT MM WM + EF, 3 m – 6 m FU 18 21 86 24 26 92
Bax, Fath-Ordoubadi 2002 34 32 13NH3/18FDGMRGR >60% WM + EF, 4 m – 6 m FU 10 10 100 17 24 71
Bax, Maddahi 2003 47 30 18FDG SPECT uptake EF, 6 m FU 17 19 89 24 28 86
Gerber* 2001 178 38 18FDG-MGU % uptake EF, 4 m – 6 m FU 65 82 79 49 89 55
Kosoroglou 2004 41 31 MIBI/18FDG uptake WM, 3 m – 6 m FU 90 44
Nowak 2003 42 38 TF/18FDG MM 15 O-H2O WM, 6 m – 17 m FU 32 40 80 23 32 72
Wiggers 2001 35 35 13 NH3/8FDG uptake + MM Patient WM, 6.1 m FU 14 14 100 14 21 67
Totals + weighted mean 1047 33.8 913 999 91 591 970 61
Mean weighted by number of patients 90 61

For complete reference list, see the full text at <www.ccs.ca>.

*

Values derived from sensitivity, specificity and other values provided;

EF recovery used or patient-based recovery;

Not reported and cannot be easily determined from data presented. 18FDG F-18 fluorodeoxyglucose; FU Follow-up; m Month; MIBI Methoxyisobutyl isonitrile; MM Mismatch; MGU Myocardial glucose uptake; MRGR Metabolic rate of glucose (relative); 13 15 15O-labelled NH3 N-13 ammonia; O-H2O water; SPECT Single photon emission computed tomography; TF Tetrofosmin; 201TI Thallium-201; WM Wall motion

Myocardial viability and prognosis: Outcome data have consistently demonstrated that FDG PET can define viable myocardium in patients with LV dysfunction, and that these patients are at high risk for death and subsequent cardiac events if they do not undergo timely revascularization (Table 4) (1013). There is one small published RCT (14) that compared FDG PET with technetium-99m methoxyisobutyl isonitrile SPECT. Trends, but no significant differences in outcomes, were identified. In this study, however, two-thirds of patients had mild to moderate LV dysfunction and were thus not representative of the population most likely to benefit from defining viable myocardium, namely, those with severe LV dysfunction. Ongoing RCTs are evaluating the use of FDG PET in directing therapy in patients with severe LV dysfunction and IHD.

TABLE 4.

Positron emission tomography (PET) viability prognosis (ejection fraction [EF] less than 40%)

Author Patient population
Test method (tracer) Mortality rates, %
Year Patients, n EF, % Mean FU, months Viability positve, revascularization positive Viability positive, revascularization negative Viability negative, revascularization positive Viability negative, revascularization negative
Allman (meta-analysis)* 2002 3088 32 25 201Tl/DE/18FDG 3.2 16.0 7.7 6.2
Allman (PET)* 1029 35 24 Perfusion/18FDG 6.0 21.0 7.0 8.0
Eitzman 1993 82 33 12 82Rb-13NH3/18FDG 3.8 33.3 0.0 8.3
Di Carli 1994 93 25 14 13NH3/18FDG 11.5 23.5 5.9 18.2
Lee 1994 129 37 17 82Rb/18FDG 8.2 14.3 5.3 12.5
Beanlands 1998 85 26 17 MIBI/18FDG 3.2 28.6 18.8
Zhang 2001 123 35 37 MIBI/18FDG 0.0 26.7§ 8.0 3.8
Rohatgi 2001 99 22 25 13NH3/18FDG 0.0 34.5§ 0.0 15.2
Santana 2004 90 26 22 G-82Rb/18FDG NR NR NR NR
Dessideri** 2005 261 29 34 13NH3/18FDG 14.5 28.3§ 10.3 21.5
Sawada†† 2005 61 29 48 13NH3/18FDG 47.4 83.3§ 57.1 43.8
Totals/mean‡‡ 933 30 26 9.4 30.9§§ 11.8 17.7

For complete reference list, see the full text at <www.ccs.ca>.

*

Meta-analysis of 24 viability studies; rates reported are for all studies in line 1; line 2 is data for 11 F-18 fluorodeoxyglucose (18FDG) PET studies, seven of which reported outcomes and four of which compared event rates in subgroups and had EF<40%; table data derived from reported values and estimated for a one-year follow-up based on rates and mean follow-up reported;

P<0.05 viability positive, revascularization negative versus revascularization positive for total cardiac event rates;

P<0.05 delayed versus early revascularization;

§

P<0.05 viability positive, revascularization negative versus revascularization positive (also versus other groups [Allman 2002; Zhang 2002]);

Values not reported (NR): 11% survival benefit with revascularization in patients with viability and left ventricular remodelling (end diastolic volume of more than 260 mL);

**

Values determined from reported percentages;

††

Patients with diabetes, left ventricular dysfunction and coronary artery disease;

‡‡

Totals/mean include eight studies with reported values; does not include meta-analysis;

§§

P<0.05 versus other groups using Fisher’s exact test. DE Dobutamine echocardiography; G G-gated FDG; MIBI Methoxyisobutyl isonitrile; 13 NH3 N-13 ammonia; 201Tl Thallium-201

Knowing the extent of scar tissue and hibernating myocardium, which may be defined using FDG PET, is often important in decision making for revascularization, particularly in the setting of severe LV dysfunction (2). Fusion imaging of FDG PET with MRI or CT may provide even greater accuracy for detecting viable myocardium by combining the advantages of each technique.

MYOCARDIAL FDG PET VIABILITY IMAGING

Recommendations

FDG PET viability imaging interpretation should be carried out only by physicians and institutions with adequate training and experience.

Class I indications

  1. To define myocardial viability in patients with:
    1. IHD and severe LV dysfunction to identify extent of recoverable myocardium and prognosis in patients being considered for revascularization or cardiac transplantation (Level B evidence);
    2. moderate to large fixed perfusion defects, or with equivocal results on another viability test (Level B evidence).

Class IIa indication

  1. Moderate systolic LV dysfunction and IHD to identify the extent of recoverable viable myocardium and prognosis in patients being considered for revascularization or cardiac transplantation (Level B evidence).

Class III (no benefit or harmful)

  1. Contraindications to insulin;

  2. Severe untreated hypokalemia;

  3. Contraindications to radiation exposure.

CT ANGIOGRAPHY

Detection of CAD

With recent advances in the spatial and temporal resolution of MDCT scanners, cardiac CT angiography (CTA) is feasible and becoming increasingly accurate. CTA has the benefit of being a noninvasive modality with the potential of providing anatomical information with a very short imaging sequence (5 s to 25 s). CTA may avoid many of the risks associated with conventional invasive coronary angiography.

CTA has been used to assess native coronary arteries, arterial and saphenous vein bypass grafts, coronary stents and anomalous coronary arteries (1520). Table 5 shows the numerous studies that have evaluated the accuracy of 16-slice MDCT compared with that of invasive coronary angiography. In coronary segments that can be evaluated (those greater than 1.5 mm in diameter), the overall sensitivity and specificity for defining angiographic disease are 87% and 96%, respectively. For detection of disease in patients, the sensitivity and specificity are 91% and 95%, respectively. More recently, studies using 64-slice MDCT have also demonstrated very good accuracy, with a larger number of segments that may be evaluated, compared with 16-slice MDCT (Table 6).

TABLE 5.

16-slice multidetector computed tomography

Author Year Number of segments Segments Segment analysis
Patient analysis
Accuracy, %
Sensitivity, % Specificity, % Sensitivity, % Specificity, %
Nieman 2002 58 ≥2 mm 95 (82/86) 86 (125/145) 100 (50/50) 88 (7/8) 98 (57/58)
Mollet 2004 128 ≥2 mm 92 (216/234) 95 (1092/1150) 100 (106/106) 86 (18/21) 98 (124/127)
Kuettner 2004 58 All 72 (54/75) 97 (679/700) 97 (58/60)
Martuscelli 2004 61 >1.5 mm 89 (83/93) 98 (511/520)
Hoffmann U 2004 33 All 70 (30/43) 94 (371/393) 86 (19/22) 82 (9/11) 85 (28/33)
Cademartiniri 2005 40 ≥2 mm 96 (88/92) 96 (322/336)
Cademartiniri 2005 60 ≥2 mm 93 (93/100) 97 (557/572)
Doregelo 2005 22 ≥2 mm 94 (30/32) 96 (216/225)
Morgan-Hughes 2005 57 All 83 (75/90) 97 (566/585) 100 (32/32) 96 (24/25) 98 (56/57
Heuschmid 2005 37 All 59 (22/37) 96 (329/343) 97 (36/37)
Hoffman M 2005 103 ≥1.5 mm 95 (149/157) 98 (1117/1139) 96 (55/58) 84 (38/45) 90 (93/103)
Kefer 2005 52 ≥1.5 mm 82 (64/78) 79 (293/369) 92 67
Schuijf 2005 31 ≥2 mm 93 (53/57) 96 (179/186) 95 (20/21) 80 (8/10) 90 (28/31)
Mollet 2005 51 ≥2 mm 95 (61/64) 98 (537/546) 100 (31/31) 85 (17/20) 94 (48/51)
Kuettner 2005 72 All 82 (96/117) 98 (804/819) 90 (65/72)
Achenbach 2005 50 ≥1.5 mm 94 (50/53) 96 (559/582) 100 (25/25) 83 (19/23) 92 (44/48)
Aviram 2005 22 >1.5 mm 86 (24/28) 98 (255/260)
Burgstahler 2005 117 All 84 (294/348) 97 (1105/1134)
Kuettner 2005 124 All 85 (304/359) 98 (1172/1201) 85 98 92 (110/120)
Weighted mean 87 (1868/2143) 96 (10789/11205) 98 (352/359) 86 (140/163)

For complete reference list, see the full text at <www.ccs.ca>

TABLE 6.

64-slice multidetector computed tomography

Author Year Number of segments Segments Segment analysis
Patient analysis
Accuracy, %
Sensitivity, % Specificity, % Sensitivity, % Specificity, %
Raff 2005 70 All 86 (79/92) 95 (802/843) 95 (38/40) 90 (27/30) 93 (65/70)
Leber 2005 55 All 79 (52/66) 73 (29/40) 88 (22/25)
Leshcka 2005 67 ≥1.5 mm 94 (165/176) 97 (805/829) 100 (47/47) 100 (20/20) 100 (67/67)
Mollet 2005 52 All 99 (93/94) 95 (601/631) 100 (38/38) 92 (12/13) 98 (51/52)
Weighted mean 91 (389/428) 95 (2237/2343) 97 (145/150) 94 (59/63)

For complete reference list, see the full text at <www.ccs.ca>

Patients referred for coronary angiography are generally suspected of having obstructive CAD, based on previous non-invasive investigations. This unavoidable bias in patient selection may result in the overestimation of CTA specificity (ie, the underestimation of the false-positive rate of CTA studies). However, the use of normal reference segments suggests that any overestimation of specificity is probably small. The negative predictive value of CTA has consistently been excellent. CTA may therefore be most beneficial in patients for whom the diagnosis of obstructive CAD needs to be ruled out. A recent meta-analysis (20) of MDCT and MRI confirms the use of CTA, and also suggests that it has a significantly higher diagnostic accuracy than MRI for detection of obstructive CAD. At this time, there are no data supporting the use of CTA in determining patient prognosis. The use of this diagnostic technique is the focus of current research studies such as the SPARC study (5), and it will continue to be an important subject of future investigation.

Cardiac motion and coronary calcification are two important limiting factors in the use of CTA. Accordingly, certain patients should not routinely undergo CTA, such as those with irregular cardiac rhythms (eg, atrial fibrillation or frequent extrasystoles), severe coronary calcification, an inability to perform sufficient breath-holds, or contraindications to intravenous contrast agents or radiation exposure.

Ionizing radiation exposure with CT remains a concern. The estimated effective radiation dose with 16-slice CTA ranges from 7 mSv to 15 mSv (2123). The radiation dose of CTA appears to be similar to, or slightly higher than, that for other traditional noninvasive modalities. Clinicians must continue to strive to minimize patient exposure to ionizing radiation. Future technological developments must be made without additional increases in patient radiation exposure.

Calcium scoring is used to identify calcified plaque. While it may have prognostic value, it is beyond the scope of the present evaluation. CTA also shows promise in the assessment of atherosclerotic plaque, but it remains a research tool.

At the time of the present review, there were limited data on 64-slice CTA. The panel anticipates that recommendations presented here will require amendments as CTA continues to evolve.

CAD DETECTION WITH CTA

Recommendations

The interpretation of cardiac CT and CTA should be carried out only by physicians and institutions with adequate training and experience.

Class I indication

  1. Assessment of anomalous coronary arteries (Level C evidence).

Class IIa indications

  1. 16- or 64-slice MDCT for patient diagnosis of significant CAD (50% diameter stenosis or more) (Level B evidence);

  2. 16- or 64-slice MDCT for identification of coronary artery segments with significant stenosis (50% diameter stenosis or more) in coronary segments 1.5 mm or more in diameter (Level B evidence);

  3. 16- and 64-slice MDCT for assessment of graft patency (Level B evidence).

Class IIb indication

  1. 64-slice MDCT for the assessment of all coronary segments, including those with vessel diameters less than 1.5 mm (Level B evidence).

Class III (no benefit or harmful)

  1. Diagnosis of CAD in patients with
    1. irregular dysrhythmias (atrial fibrillation, frequent extrasystoles);
    2. severe coronary calcification;
    3. inability to perform sufficient breath-holds;
    4. renal failure or other contraindications to intravenous contrast agents;
    5. contraindications to radiation exposure.

MRI

Detection of CAD

Several cardiac magnetic resonance (CMR) approaches are used to detect CAD. These include the direct visualization of the coronary artery lumen, visualization of ischemic myocardial injury (infarction), as well as the detection of the effects of induced ischemia on wall motion, perfusion and coronary blood flow.

Coronary magnetic resonance angiography

Magnetic resonance angiography (MRA) and quantification of vascular flow are a common approach used for almost all vessels in the body except the coronaries. It remains technically challenging to image the coronary arteries with the temporal and spatial resolution necessary to predict greater than 50% stenosis. This is due to the size, tortuosity and, most importantly, complex motion of the coronary arteries during the cardiac cycle. The negative predictive value for coronary MRA to exclude multivessel proximal obstructive CAD reached 81% in a recent multicentre trial (24), but current techniques have not yet been shown to reproducibly predict diameter stenoses. In two recent meta-analyses of 999 patients in 28 MRA studies (20,25), the positive and negative predictive values for detection of greater than 50% stenosis in interpretable segments were 65% and 90%, respectively (Table 7). When uninterpretable segments are included, these values fall to 37% and 85%, respectively. More recent work has been performed at 3 Tesla field strength and yielded a sensitivity of 82% and specificity of 89% (26). Overall, coronary MRA has a good diagnostic performance in all vessels except the circumflex coronary artery; this is likely due to its proximity to the adjacent blood pools of the left atrium and ventricle, and the lower signal from its location, which is often farthest from the receiver coil. However, false-positive rates remain high. Currently, the greatest value of coronary MRA is that found with a negative study in a patient with low pretest probability of CAD (25).

TABLE 7.

Magnetic resonance angiography

Author Year Patients, n Assessable, % (number of segments) Sensitivity, % (number of segments) Specificity, % (number of segments) PPV, % (95% Cl) NPV, % (95% Cl)
Two-dimensional breath-hold
Manning 1993 39 98 (147/150) 90 (47/52) 92 (87/95)
Pennell 1993 7 Not applicable 83 (5/6) Not applicable
Mohiaddin 1996 16 90 (43/48) 56 (5/9) 82 (28/34)
Pennell 1996 39 Not applicable 85 (47/55) Not applicable
Post 1997 35 89 (125/140) 63 (22/35) 89 (80/90)
Total 136 84 (78–90) 86 (82–91)
Weighted mean 93 (315/338) 80 (126/157) 89 (195/219)
Three-dimensional breath-hold
Kessler 1999 6 Not applicable 60 (3/5) Not applicable
van Geuns 2000 38 69 (187/272) 68 (21/31) 97 (151/156)
Regenfus 2000 50 77 (268/350) 86 (48/56) 91 (193/212)
Regenfus 2002 32 76 (171/224) 87 (26/30) 91 (129/141)
Jahnke 2004 40 45 (143/320) 63 (12/19) 82 (102/124)
Total 166 65 (58–72) 95 (93–97)
Weighted mean 66 (769/1166) 78 (110/141) 91 (575/633)
Three-dimensional navigator
Post 1996 20 96 (77/80) 38 (8/21) 95 (53/56)
Muller 1997 35 Not applicable 83 (45/54) 94 (115/122)
Kessler 1997 73 52 (236/455) 65 (28/43) 88 (169/193)
Woodard 1998 10 Not applicable 70 (7/10) Not applicable
Sandstede 1999 30 77 (92/120) 81 (30/37) 89 (49/55)
van Geuns 1999 32 74 (151/203) 50 (13/26) 91 (114/125)
Kessler 1999 6 Not applicable 60 (3/5) Not applicable
Sardanelli 2000 42 86 (234/273) 82 (55/67) 89 (149/167)
Kim 2001 109 86 (374/434) 83 (78/94) 73 (204/280)
Plein 2002 10 93 (37/40) 88 (15/17) 85 (17/20)
Weber 2002 11 70 (62/88) 88 (14/16) 93 (43/46)
Wittlinger 2002 25 85 (102/120) 75 (18/24) 100 (78/78)
Regenfus 2002 32 69 (155/224) 60 (15/25) 88 (115/130)
Watanabe 2002 12 70 (49/70) 80 (12/15) 85 (29/34)
van Geuns 2002 27 69 (139/201) 46 (12/26) 90 (102/113)
Bogaert 2003 21 72 (134/186) 56 (15/27) 83 (89/107)
Ikonen 2003 69 84 (233/276) 75 (64/85) 62 (92/148)
Jahnke 2004 40 79 (254/320) 72 (26/36) 92 (200/218)
Gerber 2005 27 100 (294/294) 62 (36/58) 84 (198/236)
Muller 2004 30 100 (221/221) 85 (35/41) 84 (151/180)
Sommer 2005 18 87 (109/126) 82 (14/17) 88 (80/91)
Total 679 61 (58–64) 91 (90–92)
Weighted mean 82 (2953/3731) 73 (543/744) 85 (2047/2399)
Total for 1.5 Tesla 981 87 (2600/2997) 65 (62–68) 90 (89–91)
Weighted mean 83 (3441/4147) 72 (749/1043)
3 Tesla
Sommer 2005 18 86 (108/126) 82 (14/17) 89 (80/90)

For complete reference list, see the full text at <www.ccs.ca>. NPV Negative predictive value; PPV Positive predictive value. Adapted from reference 33

Coronary bypass graft patency has also been examined with CMR using MRA and MR flow measurement techniques. While the positive predictive value for the detection of patent bypass graft has been reported to be as high as 95%, limitations such as metallic clip artifacts reduce the negative predictive value to approximately 44%.

The course of anomalous coronary arteries, which can induce ischemia, especially if the artery passes between the aorta and pulmonary artery, may be more clearly delineated with CMR than x-ray angiography.

Stress wall motion

Using CMR, stress is induced pharmacologically because physical exercise is difficult to perform within the magnet bore and often induces motion artifacts. Dobutamine stress-induced wall motion abnormalities are easily appreciated using the high-quality imaging of CMR. This technique is well-established, and trials have shown it to be as good as or better than dobutamine stress echocardiography in the diagnosis of CAD. Data from eight studies involving a total of 893 patients show an average sensitivity and specificity of 90% and 84%, respectively (Table 8) (27).

TABLE 8.

Dobutamine stress magnetic resonance coronary artery disease (CAD) diagnosis – results table

Author Year Patients, n Maximum dose, μg/kg/min Reference Sensitivity
Specificity
Positive test Patients with CAD % (DSE) Negative test Patients without CAD %
van Rugge 1994 39 20 CAG ≥50% 30 33 91 5 6 83
Nagel 1999 172 40+1 mg atropine CAG ≥50% 94 109 86 (74*) 60 70 86 (70*)
Hundley 1999 41 40+1 mg atropine CAG ≥50% 37 41 90 5 6 83
Schalla 2002 22 40+1 mg atropine QCA ≥75% 14 16 88 5 6 83
van Dijkman 2002 95 40 CAG ≥50% 41 42 98 NA NA NA
Kuijpers 2003 194 40 CAG ≥50% 65 68 96 NA NA NA
Wahl 2004 151 40+2 mg atropine QCA ≥50% 101 113 89 32 38 84
Paetsch 2004 79 40+2 mg atropine QCA ≥50% 47 53 89 21 26 80
Totals + weighted mean 893 429 475 90 128 152 84

For complete reference list, see the full text at <www.ccs.ca>.

*

Values for dobutamine stress echocardiography;

Total of 153 patients in study; only 41 patients underwent a coronary angiogram (CAG) and are shown in this analysis;

Only patients with positive dobutamine stress magnetic resonance underwent CAG. DSE Dobutamine stress echocardiography; QCA Quantitative coronary angiography

Stress perfusion

Myocardial perfusion may also be measured during stress (either with dobutamine or dipyridamole) following a first pass of an intravenous bolus of gadolinium contrast. Hypoperfused myocardial segments are seen as dark regions of low signal during first pass of the contrast. Validation in human studies has also been performed with good correlation with x-ray angiography, PET and SPECT. Data from 11 studies involving a total of 647 patients show an average sensitivity and specificity of 84% and 86%, respectively (Table 9). Recently, the Magnetic Resonance Imaging for Myocardial Perfusion Assessment in Coronary Artery Disease Trial (MR-IMPACT) study of 241 patients showed that first pass perfusion CMR was superior to SPECT in detecting obstructive CAD.

TABLE 9.

Dobutamine stress and magnetic resonance coronary artery disease (CAD) diagnosis – results table

Author Year Number Stress agent Reference Sensitivity
Specificity
Positive test Patients with CAD % Negative test Patients without CAD %
Al-Saadi 2000 34 Dipyridamole CAG ≥75% 26 29 90 4 5 83
Schwitter 2001 48 Dipyridamole CAG ≥75%, PET (13NH3) 32 37 87 (91*) 9 11 85 (94*)
Al-Saadi 2002 27 Dobutamine QCA ≥75% 19 23 81 3 4 73
Ibrahim 2002 39 Adenosine QCA ≥75%, PET (13NH3) 17 25 69 (86*) 12 14 89 (86*)
Nagel 2003 84 Adenosine CAG ≥75% 38 43 88 37 41 90
Paetsch 2004 79 Adenosine QCA ≥50% 48 53 91 16 26 62
Plein 2004 68 Adenosine CAG ≥70% 54 56 96 10 12 83
Kawase 2004 50 Nicorandil CAG ≥75% 31 33 94 16 17 94
Wolff 2004 75 Adenosine QCA ≥70% 11 37 93 29 38 75
Plein 2005 92 Adenosine CAG ≥70% 52 59 88 27 33 82
Giang‡§ 2004 51 Adenosine QCA ≥50% 31 33 93 14 18 75
Totals + weighted mean 647 359 428 84 177 219 81

For complete reference list, see the full text at <www.ccs.ca>.

*

Comparison with second reference;

Comparison with normal controls;

Multicentre trial;

§

Gadolinum dose-finding study; results reported for two highest doses (0.10 mmol/kg and 0.15 mmol/kg). CAG Coronary angiogram; 13 NH3 N-13 ammonia; QCA Quantitative coronary angiography

Myocardial viability

CMR uses two techniques to examine myocardial viability: dobutamine stress magnetic resonance (DSMR) and late gadolinium enhancement (LGE). DSMR has been shown to have similar or improved ability to predict contractile improvement after revascularization compared with that of dobutamine stress echocardiography. Data from 10 studies of 401 patients demonstrate a sensitivity and specificity of 91% and 94%, respectively (Table 10). LGE is a CMR technique that images nonviable or infarcted myocardium. The extravascular contrast agent gadolinium accumulates in infarcted tissue, which has larger extravascular space than does normal tissue. LGE has been widely studied in humans to show good correlation with PET and superiority to SPECT in quantifying viable and nonviable myocardium. Data from 13 studies in 357 patients reveal a sensitivity and specificity of 81% and 83%, respectively, for predicting recovery or lack of recovery of LV function (Table 11) (2830). The transmurality of the infarct can also be determined, and this may be used to improve the ability of LGE to predict recovery after revascularization. In Kim et al (28), for example, examination of severe hypokinetic, akinetic or dyskinetic segments with less than 25% transmural LGE had a 79% chance of functional recovery postrevascularization, compared with a 6% chance of recovery if LGE showed greater than 50% transmurality (28).

TABLE 10.

Dobutamine stress magnetic resonance viability diagnosis – results table

Author Year Number EF, % Other reference Method Sensitivity
Specificity
Positive Test Patients with recovery % Negative test Patients without recovery %
Dendale 1998 28 45±12 WM/EF, 3 m – 4 m FU 9 10 90 11 14 79
Sandstede 1999 25 WM/EF, 6 m FU 13 17 77 12 12 100
Baer 2000 103 39±13 TEE WM/EF, 4.9 m FU 24 28 86 22 24 92
Trent 2000 25 54±15 WM/EF, 4 m FU 6 6 100 23 25 92
van Dijkman 2002 95 30 WM + EF, 17 m FU 38 39 97 NA* NA* NA*
Kramer 2002 22 46±10 DSE WM + EF, 2 m FU C/T C/T 86 C/T C/T 69
Motoyasu 2003 23 51 LGE WM, 3 m –11 m FU C/T C/T 89 C/T C/T 80
Schmidt 2004 40 42±10 18FDG PET WM, 4 m – 6 m FU 24 25 96 15 13 87
Uemura 2004 20 50 SPECT (TI201) WM, 4 m FU C/T C/T 89 C/T C/T 89
Gutberlet 2005 20 27±9 SPECT (TI201), LGE WM + EF, 6 m FU C/T C/T 88 C/T C/T 90
Totals + 401 114 125 91 83 88 94
weighted mean

For complete reference list, see the full text at <www.ccs.ca>.

*

Patients without evidence of viability by dobutamine stress magnetic resonance were not revascularized;

Reported by segment;

Mean weighted by number of patients. C/T Cannot tell from data presented; DSE Dobutamine stress echocardiography; EF Ejection fraction; FU Follow-up; LGE Late gadolinium enhancement; m Month; NA Not applicable; PET Positron emission tomography; SPECT Single photon emission computed tomography; TEE Transesophageal echocardiography; WM Wall motion

TABLE 11.

Late gadolinium enhancement (LGE) magnetic resonance viability diagnosis – results table

Author Year Number EF, % Other reference Reference method Sensitivity
Specificity
Positive test* Segment with recovery % Negative test Segment without recovery %
Kim 2000 50 43±13 WM/EF, 3 m FU 329 256 78 124 110 98
Sandstede 2000 12 C/T WM, 3 m FU 47 39 83 26 25 96
Choi 2001 24 C/T WM, 2 m – 3 m FU 275 213 77 64 61 95
Gerber 2002 20 C/T WM, 7 m FU 170 109 64 219 179 82
Klein 2002 31 28±9 18FDG PET PET NA NA 83 NA NA 88
Beek 2003 30 51 WM/EF, 2 m – 4 m FU 151 119 79 35§ 31§ 89
Kitagawa 2003 22 SPECT (201TI) WM, 2 m – 4 m FU 196 192 98 68 51 75
Kuhl 2003 26 31±11 18FDG PET, SPECT PET NA NA 96 NA NA 84
Motoyasu 2003 23 51 DSMR WM, 3 m – 11 m FU 175 146 83 103 74 72
Schvartzman 2003 29 28±10 WM/EF, 3 m – 8 m FU 44 36 82 33 27 82
Selvanayagam 2004 52 62±11 WM/EF, 5 m FU 190 156 82 88 71 81
Van Hoe 2004 18 DSMR WM, 7 m – 11 m FU 61 56 92 24§ 22§ 92§
Gutberlet 2005 20 27±9 SPECT (201TI), DSMR WM + EF, 6 m FU C/T C/T 99 C/T C/T 94
Totals + weighted mean 357 1638 1322 81 784 651 83

For complete reference list, see the full text at <www.ccs.ca>. Knuesal et al showed good agreement between positron emission tomography (PET), but data for chart could not be obtained from the paper, so it was excluded.

*

Dysfunctional segment and no LGE;

Dysfunctional segment and LGE;

LGE > 50%;

§

LGE > 75%;

Mean weighted by number of segments. C/T Cannot tell from data presented; DSMR Dobutamine stress magnetic resonance; EF Ejection fraction; 18FDG F-18 fluorodeoxyglucose; FU Follow-up; NA Not applicable; SPECT Single photon emission computed tomography; 201Tl Thallium-201; WM Wall motion

For both LGE MRI and dobutamine stress MRI for viability, the number of studies in patients with more significant LV dysfunction (EF less than 40%) is limited. Further studies are required in the patient population with severe LV dysfunction.

Currently, there are few studies evaluating the impact of DSMR and LGE CMR on cardiac outcomes, but several studies are underway. Outcome studies in patients with severe LV dysfunction are limited.

CAD DETECTION USING MRI

Recommendations

The interpretation of cardiac MRI should be carried out only by physicians and institutions with adequate training and experience.

Class I indications

  1. Assessment of anomalous coronary arteries (Level C evidence);

  2. Detection of coronary stenosis greater than 50% a. stress function with dobutamine (Level B evidence).

Class IIa indication

  1. Detection of coronary stenosis greater than 50%
    1. stress first-pass perfusion (Level B evidence).

Class IIb indications

  1. Detection of coronary stenosis greater than 50%
    1. coronary MRA (Level B evidence);
  2. Graft patency
    1. coronary MRA (Level C evidence).

Class III (no benefit or harmful)

  1. Contraindication to MRI;

  2. Contraindication to gadolinium contrast;

  3. Inability to perform sufficient breath-holds.

MYOCARDIAL VIABILITY USING MRI

Recommendations

The interpretation of cardiac MRI should be carried out only by physicians and institutions with adequate training and experience.

Class I indications

  1. Assessment of myocardial viability in patients with LV dysfunction or akinetic segments for predicting recovery of ventricular function following revascularization:
    1. LGE (Level B evidence);
    2. dobutamine stress wall motion (Level B evidence).

Class IIa indications

  1. Assessment of myocardial viability to determine prognosis following revascularization in patients with moderate/severe LV dysfunction:
    1. LGE (Level B/C evidence);
    2. dobutamine stress wall motion (Level B/C evidence).

ROLE OF ECHOCARDIOGRAPHY AND SPECT IMAGING

Echocardiography and nuclear SPECT imaging will continue to play key frontline roles in the assessment of CAD patients. There is large clinical experience for each, and each has its own ongoing advances in imaging technology (see full text for more details at <www.ccs.ca>). As the advanced imaging techniques continue to develop, and as experience and availability of long-term prognostic data increase, these newer modalities will likely play a greater role in the management of patients with IHD. Currently, advanced imaging methods may serve as complementary tests when results of initial imaging tests are equivocal or nondiagnostic.

An approach combining a functional assessment of wall motion and perfusion, using nuclear SPECT, PET, or echocardiographic or MRI techniques, with an anatomical assessment with cardiac CTA or MRI holds a certain appeal in the evaluation of patients with IHD. New hybrid imaging cameras with SPECT/CT or PET/CT capabilities, or the use of fusion software will provide comprehensive evaluation of anatomical and functional characterization of disease. New algorithms for patient evaluation will evolve, but will continue to involve SPECT and echocardiography.

Radiation exposure

Table 12 lists the radiation exposure from common non-invasive radionuclide or x-ray based cardiac procedures. CTA appears to be comparable with other standard noninvasive imaging methods (21,31,32).

TABLE 12.

Radiation

Modality Radiation source Total dose, mCi Radiation dose, mSv
SPECT MPI (one-day protocol) Tc-99m 32–40 9.2–11.4
SPECT MPI (two-day protocol) Tc-99m 50 14.8
SPECT MPI 201Tl 2.5–3.0 15.7–18.9
PET MPI 82Rb
  Camera (3D BGO) 20–40 3.6–7.1
  Camera (2D BGO/LSO/GSO and 3D LSO/GSO) 60–120 10.6–21.2
PET MPI 13NH3 20–40 2.0–4.0
PET 18FDG 5–15 5.0–15.0
PET viability
  Camera (3D BGO) 82 Rb/18FDG 10–20/10 6.8–18.6
  Camera (2D BGO/LSO/GSO and 3D LSO/GSO) 82 Rb/18FDG 30–60/10 10.3–25.6
13NH3/18FDG 10–20/10 6.0–17.0
CT (16-slice MDCT) x-ray 7–15
CT (64-slice MDCT) x-ray 5–15
Invasive coronary angiography x-ray 2.1–2.5
Magnetic resonance imaging NA NA

BGO Bismuth germanate; CT Computed tomography; 18FDG 18-F fluo-rodeoxyglucose; GSO Gadolinium orthosilicate; LSO Lutetium orthosilicate; MDCT Multidetector computed tomography; MPI Myocardial perfusion imaging; Tc-99m Technetium-99m; NA Not applicable; 13 13-N ammonia; NH3 PET Positron emission tomography; 82Rb Rubidium-82; SPECT Single photon emission computed tomography

Cost considerations

Economic evaluation is an important consideration in the development of new technologies. In any cost-effectiveness analysis, it is important to determine the population under consideration, the intervention, the comparator or comparators, the perspective of the study, the outcomes and the costs involved. For PET MPI imaging, cost data have been conflicting. In one study that compared PET with treadmill, SPECT MPI and coronary angiography, PET had the most favourable incremental cost-effectiveness ratio. In another study that compared PET MPI, stress echocardiography, SPECT MPI and coronary angiography, PET had the worst cost-effectiveness ratio. However, these studies apply theoretical models that depend very much on the studies selected, clinical care assumptions rather than real patient populations, as well as recent data. Also, they may not be valid in Canada. Despite these limitations, one evaluation regarding the selection of patients for angiography suggested that PET and SPECT MPI are both cost-effective approaches in patients with intermediate pretest likelihood of CAD.

One study evaluated the incremental cost of FDG PET viability imaging in patients with IHD and LV dysfunction, and concluded that FDG PET viability imaging was cost-effective in the selection of patients with LV dysfunction referred for coronary artery bypass grafting.

To our knowledge, no published studies have evaluated the incremental cost-effectiveness of MRI or CTA in patients with CAD. For new technologies, there will need to be careful prospective consideration of costs in real patient populations.

CONCLUDING REMARKS

The recommendations in the present position statement are based on literature to 2005 (with some updates for 2006). The best available evidence is combined with clinical expertise and opinion to determine the recommendations noted above. The recommendations demand that any imaging technique be performed and interpreted at institutions and by physicians who have adequate experience and training.

It is anticipated that the availability of these advanced imaging techniques will increase in Canada. This document serves as an initial guideline for clinical use. Given the rapid evolution of technologies and emerging literature, such recommendations will require regular updates, so much so that by the time the present position statement is published, some of the recommendations may be outdated. Therefore, the present position statement should be used as a guide and taken in the context of time and available data.

Future research and evaluation studies of diagnostic imaging would be helped by consistently reporting details of the patient population, methods of recruitment and blinded analysis. The gold standard method used for comparison should not be influenced by the test being evaluated. Studies should consider applicability and potential impact to patient management and outcome. Studies should consider criteria developed and being applied to evaluate quality of data and evidence.

Imaging laboratories and facilities should engage in the collection of patient registry data to allow characterization and improvement in appropriate use of these technologies for which access is currently limited. Standardized reports appropriate for the specific technology should be developed and used across facilities. This, combined with network integration of images, may reduce the need for repeat testing.

Continued research will always be required to better characterize the use, as well as the diagnostic and prognostic value, of these tests. This will assist in the development of evidence-based patient care pathways and algorithms for an increasingly complex array of tests that are now available.

Finally, with the rapid emergence of these technologies, training guidelines are also needed. Imaging specialties and clinical specialties must further integrate their practices. This need must be transmitted to trainees, who will become the experts in performing and interpreting these tests in the future. A joint effort among specialties is recommended to achieve this goal.

Acknowledgments

The panel thanks Sherri Nipius for her excellent work in preparing the manuscript and organizing teleconferences, as well as Linda Garrard RN for organizing the panel meeting in Montreal. The authors also thank Holly Ananny MA for her assistance in editing the manuscript.

APPENDIX 1.

Name Expertise Institution Affiliation
Primary Panel members (writing team)
Beanlands, Dr Rob SB Cardiology, PET, nuclear cardiology University of Ottawa Heart Institute, Ottawa, Ontario CCS, CNCS, CANM
Chow, Dr Benjamin JW Cardiology, computed tomography angiography, PET, nuclear cardiology University of Ottawa Heart Institute, Ottawa, Ontario CCS, CNCS
Dick, Dr Alexander Cardiology, cardiac MRI Sunnybrook and Women’s College Health Sciences Centre, University of Toronto, Toronto, Ontario CCS, CanSCMR
Friedrich, Dr Matthias G Cardiology, cardiac MRI Foothills Medical Centre, University of Calgary, Calgary, Alberta CCS, CanSCMR*
Gulenchyn, Dr Karen Nuclear medicine, PET Hamilton HSC, McMaster University, Hamilton, Ontario Chair – Standards of Practice (2005/06) CANM*, CNCS*
Kiess, Dr Marla Cardiology, nuclear cardiology St Paul’s Hospital, University of British Columbia, Vancouver, British Columbia CCS, CNCS*
LeongsPoi, Dr Howard Cardiology, echocardiography St Michael’s Hospital, University of Toronto, Toronto, Ontario CCS
Miller, Dr Robert M Radiology, computed tomography, MRI Halifax Infirmary, Dalhousie University, Halifax, Nova Scotia CAR*
Nichol, Dr Graham Clinical epidemiology, cost analysis Harborview Prehospital and Clinical Trial Center, University of Washington, Seattle, Washington, USA CCS
Secondary Panel members
Freeman, Dr Michael Cardiology, nuclear cardiology St Michael’s Hospital, University of Toronto, Toronto, Ontario CCS, CNCS
Bogaty, Dr Peter Cardiology Quebec Heart Institute, Laval University, Quebec, Quebec CCS
Honos, Dr George Cardiology, echocardiography Sir Mortimer B Davis Jewish General Hospital, McGill University, Montreal, Quebec CCS*
Hudon, Dr Gilles Radiology Montreal Heart Institute, University of Montreal, Montreal, Quebec CAR
Wisenberg, Dr Gerald Cardiology, cardiac imaging (MRI, PET) London Health Sciences Centre, University of Western Ontario, London, Ontario CCS, CNCS*
Also assisting with writing team
Van Berkom, Judith Information Specialist Children’s Hospital of Eastern Ontario, University of Ottawa, Ottawa, Ontario
Williams, Kathryn Biostatistician University of Ottawa Heart Institute, Ottawa, Ontario
Yoshinaga, Dr Keiichiro PET/Nuclear Cardiology Fellow University of Ottawa Heart Institute, Ottawa, Ontario
Graham, Dr John MRI Fellow Sunnybrook and Women’s College Health Sciences Centre, University of Toronto, Toronto, Ontario
*

Current Executive. CANM Canadian Association of Nuclear Medicine; CanSCMR Canadian Society of Cardiac Magnetic Resonance; CAR Canadian Association of Radiologists; CCS Canadian Cardiovascular Society; CNCS Canadian Nuclear Cardiology Society; MRI Magnetic resonance imaging; PET Positron emission tomography

APPENDIX 2.

The American College of Cardiology and American Heart Association classifications I, II and III are used to summarize indications as follows:
Class I Conditions for which there is evidence and/or general agreement that a given procedure or treatment is useful and effective.
Class II Conditions for which there is conflicting evidence and/or a divergence of opinion about the usefulness/efficacy of a procedure or treatment.
Class IIa Weight of evidence/opinion is in favor of usefulness/efficacy.
Class IIb Usefulness/efficacy is less well established by evidence/opinion.
Class III Conditions for which there is evidence and/or general agreement that the procedure/treatment is not useful/effective and, in some cases, may be harmful.
Levels of evidence for individual class assignments are designated as:
  1. Data derived from randomized clinical trials

  2. Data derived from a single randomized trial, or from nonrandomized studies

  3. Consensus opinion of experts

    Techniques considered investigational are not further classified.

In considering the use of a specific technique in individual patients, the following factors are important:
  • The quality of the available laboratory and equipment used for performing the study, as well as the quality, expertise and experience of the professional and technical staff performing and interpreting the study.

  • The sensitivity, specificity and predictive accuracy of the technique.

  • The cost and accuracy of the technique compared with that of other diagnostic procedures.

  • The effect of positive or negative results on subsequent clinical decision making.

Reprinted from reference 1 with permission

Footnotes

Full text may be viewed online at <www.ccs.ca>

REFERENCES

  • 1.Klocke FJ, Baird MG, Lorell BH, et al. American College of Cardiology. American Heart Association; American Society for Nuclear Cardiology ACC/AHA/ASNC guidelines for the clinical use of cardiac radionuclide imaging – executive summary: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (ACC/AHA/ASNC Committee to Revise the 1995 Guidelines for the Clinical Use of Cardiac Radionuclide Imaging) J Am Coll Cardiol. 2003;42:1318–33. doi: 10.1016/j.jacc.2003.08.011. [DOI] [PubMed] [Google Scholar]
  • 2.Schelbert HR, Beanlands R, Bengel F, et al. PET myocardial perfusion and glucose metabolism imaging: Part 2-Guidelines for interpretation and reporting. J Nucl Cardiol. 2003;10:557–71. doi: 10.1016/j.nuclcard.2003.08.002. [DOI] [PubMed] [Google Scholar]
  • 3.Pennell DJ, Sechtem UP, Higgins CB, et al. Society for Cardiovascular Magnetic Resonance. Working Group on Cardiovascular Magnetic Resonance of the European Society of Cardiology Clinical indications for cardiovascular magnetic resonance (CMR): Consensus Panel report. Eur Heart J. 2004;25:1940–65. doi: 10.1016/j.ehj.2004.06.040. [DOI] [PubMed] [Google Scholar]
  • 4.Bateman TM, Heller GV, McGhie AI, et al. Diagnostic accuracy of rest/stress ECG-gated Rb-82 myocardial perfusion PET: Comparison with ECG-gated Tc-99m sestamibi SPECT. J Nucl Cardiol. 2006;13:24–33. doi: 10.1016/j.nuclcard.2005.12.004. [DOI] [PubMed] [Google Scholar]
  • 5.Di Carli MF, Hachamovitch R. Should PET replace SPECT for evaluating CAD? The end of the beginning. J Nucl Cardiol. 2006;13:2–7. doi: 10.1016/j.nuclcard.2005.12.001. [DOI] [PubMed] [Google Scholar]
  • 6.Marwick TH, Shan K, Patel S, Go RT, Lauer MS. Incremental value of rubidium-82 positron emission tomography for prognostic assessment of known or suspected coronary artery disease. Am J Cardiol. 1997;80:865–70. doi: 10.1016/s0002-9149(97)00537-7. [DOI] [PubMed] [Google Scholar]
  • 7.Yoshinaga K, Chow BJ, Williams K, et al. What is the prognostic value with rubidium-82 perfusion positron emission tomography imaging? J Am Coll Cardiol. 2006;48:1029–39. doi: 10.1016/j.jacc.2006.06.025. [DOI] [PubMed] [Google Scholar]
  • 8.Chow BJ, Wong JW, Yoshinaga K, et al. Prognostic significance of dipyridamole-induced ST depression in patients with normal 82Rb PET myocardial perfusion imaging. J Nucl Med. 2005;46:1095–101. [PubMed] [Google Scholar]
  • 9.Bax JJ, Poldermans D, Elhendy A, Boersma E, Rahimtoola SH. Sensitivity, specificity, and predictive accuracies of various noninvasive techniques for detecting hibernating myocardium. Curr Probl Cardiol. 2001;26:147–86. doi: 10.1067/mcd.2001.109973. [DOI] [PubMed] [Google Scholar]
  • 10.Tarakji KG, Brunken R, McCarthy PM, et al. Myocardial viability testing and the effect of early intervention in patients with advanced left ventricular systolic dysfunction. Circulation. 2006;113:230–7. doi: 10.1161/CIRCULATIONAHA.105.541664. [DOI] [PubMed] [Google Scholar]
  • 11.Allman KC, Shaw LJ, Hachamovitch R, Udelson JE. Myocardial viability testing and impact of revascularization on prognosis in patients with coronary artery disease and left ventricular dysfunction: A meta-analysis. J Am Coll Cardiol. 2002;39:1151–8. doi: 10.1016/s0735-1097(02)01726-6. [DOI] [PubMed] [Google Scholar]
  • 12.Zhang X, Liu XJ, Wu Q, et al. Clinical outcome of patients with previous myocardial infarction and left ventricular dysfunction assessed with myocardial 99mTc-MIBI SPECT and 18F-FDG PET. J Nucl Med. 2001;42:1166–73. [PubMed] [Google Scholar]
  • 13.Desideri A, Cortigiani L, Christen AI, et al. The extent of perfusion-F18-fluorodeoxyglucose positron emission tomography mismatch determines mortality in medically treated patients with chronic ischemic left ventricular dysfunction. J Am Coll Cardiol. 2005;46:1264–9. doi: 10.1016/j.jacc.2005.06.057. [DOI] [PubMed] [Google Scholar]
  • 14.Siebelink HM, Blanksma PK, Crijns HJ, et al. No difference in cardiac event-free survival between positron emission tomography-guided and single-photon emission computed tomography-guided patient management: A prospective, randomized comparison of patients with suspicion of jeopardized myocardium. J Am Coll Cardiol. 2001;37:81–8. doi: 10.1016/s0735-1097(00)01087-1. [DOI] [PubMed] [Google Scholar]
  • 15.Chow BJ, Hoffman U, Nieman K. Computed tomographic coronary angiography: An alternative to invasive coronary angiography. Can J Cardiol. 2005;21:933–40. [PubMed] [Google Scholar]
  • 16.Schlosser T, Konorza T, Hunold P, Kuhl H, Schmermund A, Barkhausen J. Noninvasive visualization of coronary artery bypass grafts using 16-detector row computed tomography. J Am Coll Cardiol. 2004;44:1224–9. doi: 10.1016/j.jacc.2003.09.075. [DOI] [PubMed] [Google Scholar]
  • 17.Schuijf JD, Bax JJ, Jukema JW, et al. Feasibility of assessment of coronary stent patency using 16-slice computed tomography. Am J Cardiol. 2004;94:427–30. doi: 10.1016/j.amjcard.2004.04.057. [DOI] [PubMed] [Google Scholar]
  • 18.Shi H, Aschoff AJ, Brambs HJ, Hoffmann MH. Multislice CT imaging of anomalous coronary arteries. Eur Radiol. 2004;14:2172–81. doi: 10.1007/s00330-004-2490-2. [DOI] [PubMed] [Google Scholar]
  • 19.Schmitt R, Froehner S, Brunn J, et al. Congenital anomalies of the coronary arteries: Imaging with contrast-enhanced, multidetector computed tomography. Eur Radiol. 2005;15:1110–21. doi: 10.1007/s00330-005-2707-z. [DOI] [PubMed] [Google Scholar]
  • 20.Schuijf JD, Bax JJ, Shaw LJ, et al. Meta-analysis of comparative diagnostic performance of magnetic resonance imaging and multislice computed tomography for noninvasive coronary angiography. Am Heart J. 2006;151:404–11. doi: 10.1016/j.ahj.2005.03.022. [DOI] [PubMed] [Google Scholar]
  • 21.Thompson RC, Cullom SJ. Issues regarding radiation dosage of cardiac nuclear and radiography procedures. J Nucl Cardiol. 2006;13:19–23. doi: 10.1016/j.nuclcard.2005.11.004. [DOI] [PubMed] [Google Scholar]
  • 22.Kefer J, Coche E, Legros G, et al. Head-to-head comparison of three-dimensional navigator-gated magnetic resonance imaging and 16-slice computed tomography to detect coronary artery stenosis in patients. J Am Coll Cardiol. 2005;46:92–100. doi: 10.1016/j.jacc.2005.03.057. [DOI] [PubMed] [Google Scholar]
  • 23.Mollet NR, Cademartiri F, van Mieghem CA, et al. High-resolution spiral computed tomography coronary angiography in patients referred for diagnostic conventional coronary angiography. Circulation. 2005;112:2318–23. doi: 10.1161/CIRCULATIONAHA.105.533471. [DOI] [PubMed] [Google Scholar]
  • 24.Kim WY, Danias PG, Stuber M, et al. Coronary magnetic resonance angiography for the detection of coronary stenoses. N Engl J Med. 2001;345:1863–9. doi: 10.1056/NEJMoa010866. [DOI] [PubMed] [Google Scholar]
  • 25.Danias PG, Roussakis A, Ioannidis JP. Diagnostic performance of coronary magnetic resonance angiography as compared against conventional x-ray angiography: A meta-analysis. J Am Coll Cardiol. 2004;44:1867–76. doi: 10.1016/j.jacc.2004.07.051. [DOI] [PubMed] [Google Scholar]
  • 26.Sommer T, Hackenbroch M, Hofer U, et al. Coronary MR angiography at 3.0 T versus that at 1.5 T: Intitial results in patients suspected of having coronary artery disease. Radiology. 2005;234:718–25. doi: 10.1148/radiol.2343031784. [DOI] [PubMed] [Google Scholar]
  • 27.Nagel E, Lehmkuhl HB, Bocksch W, et al. Noninvasive diagnosis of ischemia-induced wall motion abnormalities with the use of high-dose dobutamine stress MRI: Comparison with dobutamine stress echocardiography. Circulation. 1999;99:763–70. doi: 10.1161/01.cir.99.6.763. [DOI] [PubMed] [Google Scholar]
  • 28.Kim R, Wu E, Rafael A, et al. The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med. 2000;343:1445–53. doi: 10.1056/NEJM200011163432003. [DOI] [PubMed] [Google Scholar]
  • 29.Klein C, Nekolla SG, Bengel FM, et al. Assessment of myocardial viability with contrast-enhanced magnetic resonance imaging: Comparison with positron emission tomography. Circulation. 2002;105:162–7. doi: 10.1161/hc0202.102123. [DOI] [PubMed] [Google Scholar]
  • 30.Selvanayagam JB, Kardos A, Francis J, et al. Value of delayed-enhancement cardiovascular magnetic resonance imaging in predicting myocardial viability after surgical revascularization. Circulation. 2004;110:1535–41. doi: 10.1161/01.CIR.0000142045.22628.74. [DOI] [PubMed] [Google Scholar]
  • 31.Coles DR, Smail MA, Negus IS, et al. Comparison of radiation doses from multislice computed tomography coronary angiography and conventional diagnostic angiography. J Am Coll Cardiol. 2006;47:1840–5. doi: 10.1016/j.jacc.2005.11.078. [DOI] [PubMed] [Google Scholar]
  • 32.International Commission on Radiological Protection ICRP Publication 53: Radiation dose to patients from radiopharmaceuticals. Annals of the IRCP. 1998;18:1–4. [PubMed] [Google Scholar]
  • 33.Schuijf JD, Bax JJ, Shaw LJ, et al. Meta-analysis of comparative diagnostic performance of magnetic resonance imaging and multislice computed tomography for noninvasive coronary angiography. Am Heart J. 2006;151:404–11. doi: 10.1016/j.ahj.2005.03.022. [DOI] [PubMed] [Google Scholar]

Articles from The Canadian Journal of Cardiology are provided here courtesy of Pulsus Group

RESOURCES