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European Heart Journal Cardiovascular Imaging logoLink to European Heart Journal Cardiovascular Imaging
. 2018 Jul 12;19(9):962–974. doi: 10.1093/ehjci/jey090

Hybrid positron emission tomography–magnetic resonance of the heart: current state of the art and future applications

Muhummad Sohaib Nazir 1, Tevfik F Ismail 1, Eliana Reyes 1, Amedeo Chiribiri 1, Philipp A Kaufmann 2, Sven Plein 1,3,
PMCID: PMC6102801  PMID: 30010838

Abstract

Hybrid positron emission tomography–magnetic resonance (PET-MR) imaging is a novel imaging modality with emerging applications for cardiovascular disease. PET-MR aims to combine the high-spatial resolution morphological and functional assessment afforded by magnetic resonance imaging (MRI) with the ability of positron emission tomography (PET) for quantification of metabolism, perfusion, and inflammation. The fusion of these two modalities into a single imaging platform not only represents an opportunity to acquire complementary information from a single scan, but also allows motion correction for PET with reduction in ionising radiation. This article presents a brief overview of PET-MR technology followed by a review of the published literature on the clinical cardio-vascular applications of PET and MRI performed separately and with hybrid PET-MR.

Keywords: cardiovascular magnetic resonance , cardiovascular positron emission tomography , hybrid imaging , MR-PET, PET-MR , PET-MRI

Introduction

Positron emission tomography (PET) and magnetic resonance imaging (MRI) are well established modalities for the investigation of cardiovascular disease. MRI provides high-resolution information on anatomy, morphology, function, and tissue characteristics. Parametric mapping with MRI allows visualization of quantitative changes in the myocardium based on changes in T1, T2, T2* and allows detection of myocardial fibrosis, infiltration, and inflammation and iron overload.1 PET allows assessment of physiological processes by labelling biological compounds with positron emitting radionuclides2 and is the reference standard for non-invasive assessment of myocardial perfusion and absolute myocardial blood flow (MBF), myocardial metabolism, and inflammation. Integrated PET and MRI may confer synergistic value from image co-registration, motion correction, and reduction in ionising radiation for clinical applications.

This article presents a brief overview of positron emission tomography–magnetic resonance (PET-MR) technology followed by a review of the published literature on the clinical cardio-vascular applications of PET and MRI performed separately and with hybrid PET-MR.

Technical considerations

Simultaneous PET-MR was first demonstrated in preclinical phantom models in 1997.2 Presently, two configurations of PET-MR systems exist for clinical studies. The Philips Ingenuity PET-MR (Philips Medical Systems, the Netherlands) allows sequential imaging with a turntable aligned to the PET and MRI gantry. The Siemens Biograph mMR PET-MR (Siemens Healthcare, Germany) and GE Signa PET-MR (GE Healthcare, Waukesha) are fully integrated systems in the same gantry for true simultaneous PET and MRI acquisition.

The integration of PET and MRI systems in a single hardware platform presented several technical challenges.2 A major obstacle was the production of MRI compatible PET detectors that could operate safely and efficiently within an MRI scanner. In addition, rapidly alternating gradient fields of an MRI scanner could induce eddy currents in PET circuitry and lead to signal loss, heating, and vibration.2 MRI radiofrequency pulses cause electronic interference with standard PET detectors. On the other hand, standard ferromagnetic PET detectors may cause inhomogeneities in the magnetic field and lead to susceptibility artefacts and degrade MRI quality. Innovative solutions overcame these challenges, particularly the development of PET detectors that operate within a strong magnetic field.2

Attenuation correction

Quantitative PET data requires an accurate method for photon attenuation, which occurs when photons that undergo annihilation are absorbed by the body. As such, PET pixel values need to be scaled to radioactivity concentrations units.3 In PET-CT, attenuation correction (AC) of PET data is derived from computed tomography (CT) data, which are rescaled from Hounsfield units to 511-keV linear attenuation coefficients to generate robust μ-maps.4 In PET-MR, AC is challenging as MRI signal intensity reflects proton density, which has no direct relationship with tissue density or photon absorption as do CT data.5 In PET-MR, attenuation maps are commonly derived from Dixon MRI sequences,6 which are then used to segment discrete anatomical regions into air, lung, fat, or soft tissue with known linear attenuation coefficients,7 and voxels that belong to these tissue classes are assigned a corresponding linear attenuation coefficient.8

Published comparisons between PET-CT and PET-MR quantitative data have demonstrated comparable standardized uptake values (SUV) of cardiac 18F-fluorodeoxyglucose (18F-FDG).9–12 Respiratory misalignment commonly occurs with MRI-based AC maps, and metallic artefact produces voids, but these can be corrected with manual adjustment and importantly were found not to impact quantitative PET data.13

However, there are several challenges to AC with PET-MR, in particular, cortical bone (the tissue that contributes the greatest to attenuation) and air have low MRI signal, yet both are at the extremes of photon attenuation. Standard Dixon based MRI-based AC maps do not consider bone and solutions have been proposed with a Dixon based model-based bone segmentation algorithm14 and ultrashort echo time (UTE) sequences.8,15

Motion correction

Hybrid PET-MR has potential to provide high-resolution MRI data with excellent soft-tissue contrast to track respiratory movement to motion-correct PET data.16 Multiple radiation-free MRI acquisitions can be acquired simultaneously to enhance image quality and quantitative PET data. Several studies have demonstrated significant respiratory motion correction and improvement in accuracy of quantitative SUV with MRI respiratory motion data.17–19 Furthermore, methods are developing for highly efficient MRI motion correction models to simultaneously correct coronary MRI and PET data with potential to enhance PET-MR imaging.20

Clinical applications of PET-MR

There are many potential clinical applications for PET-MR in cardiovascular imaging, but to date, the development has focussed on a small number of applications, which are discussed below.

Myocardial perfusion imaging

MRI and PET perfusion imaging are both in routine clinical use for ischaemia testing with similar levels of evidence in European Society of Cardiology guidelines for diagnosis of stable angina.21

MRI

Myocardial perfusion MRI tracks the first myocardial passage of a gadolinium-based contrast agent (GBCA) following intravenous injection. GBCAs shorten T1-relaxation time and increase signal intensity on T1-weighted MRI pulse sequences, which are used to acquire a dynamic series of images. Typically combined with vasodilator stress, myocardial perfusion MRI for ischaemia assessment is recommended in patients with intermediate risk of coronary artery disease (CAD).21

In meta-analyses, myocardial perfusion MRI has a sensitivity of 87% and 89% and specificity of 91% and 87% at the vessel-level and patient-level respectively when compared with invasive fractional flow reserve as the reference standard.22 Absolute MBF quantification with MRI is feasible and provides independent incremental prognostic value compared with visual analysis.23 Techniques for fully automated, free-breathing, pixel-wise MBF quantification with MRI showed good agreement against PET, and promise to accelerate adoption into clinical practice.24,25

PET

Perfusion PET tracers (Table 1) are generated by cyclotron (15O-Water, 13N-Ammonia, 18F-Flurpiridaz) or generator (Rubidium-82) and allow visual or fully quantitative assessment of myocardial perfusion at rest and stress. A meta-analysis demonstrated sensitivity 92% and specificity 85% for PET to detect angiographically defined CAD.29 A normal PET perfusion scan is associated with a <1% annual cardiac event rate, while an abnormal scan indicates adverse prognosis.30,31

Table 1.

Physical properties of perfusion PET tracers

Radiotracer Half-life Availability Mechanism Comments
15O-Water 122 s On-site cyclotron Metabolically inert, diffuses freely across capillary membrane
  • Ideal tracer for MBF quantification, near perfect linear relationship between flow and tracer uptake.26,27

  • 100% myocardial extraction fraction.

  • Intermediate image quality due to long positron range.

13N-Ammonia 9.96 min On-site cyclotron Diffusion and metabolic trapping
  • >80% myocardial extraction fraction.

  • High image quality due to short positron range and myocardial retention.

  • Validated against 15O-Water.27,28

Rubidium-82 76 s Generator Myocardial uptake via Na/K-ATPase
  • Short half-life allows rapid protocols.

  • MBF underestimation at high-flow rates due to roll-off phenomenon.

  • 65% myocardial extraction fraction.

  • Moderate image quality due to long positron range.

18F-Flurpiridaz 110 min Regional cyclotron Rapid uptake by myocyte mitochondrial complex
  • Near linear kinetics of tracer uptake and MBF.

  • Good image quality due to short positron range. High myocardial extraction fraction (94%).

  • Current evaluation in Phase III trials. Does not require on-site cyclotron and therefore allows greater access.

PET is the in vivo reference standard for MBF quantification.32 PET MBF is superior to visual analysis for CAD detection and improves diagnostic accuracy in multi-vessel CAD and microvascular disease.33–35 A reduced myocardial perfusion reserve (MPR), ratio of stress: rest MBF, is an independent marker for adverse cardiovascular outcome.36,37

PET-MR

There is only one published study on the use of hybrid PET-MR for myocardial perfusion imaging. Twenty-nine patients underwent simultaneous stress and rest PET-MR perfusion with 13N-Ammonia and first-pass GBCA MRI.38 A good correlation and agreement was reported with MRI MBF compared with PET MBF, with improved correlation after haematocrit correction to convert MRI plasma flow values to blood flow. However, in keeping with previous studies comparing MRI and PET MBF, MRI tended to overestimate MBF. Potential reasons for this overestimation include the differences in quantification algorithms between the methods and the fact that the gold standard PET tracer 15O-Water was not used.

Future outlook

Although hybrid PET-MR perfusion imaging is an unlikely future clinical application as both modalities measure MBF, PET-MR is an ideal platform to cross-validate the two methods under identical haemodynamic conditions and remove physiological variation in measurement. Emerging MRI methods for MBF quantification may be compared against the gold standard PET tracer 15O-Water with potential to provide an alternative future method for MBF quantification that is free of ionizing radiation.

Viability

Viability assessment is most commonly used to predict functional recovery following revascularization. Both MRI and PET are in clinical use, but take conceptually different approaches to viability/scar assessment.

MRI

In clinical practice, MRI assessment of myocardial viability is most commonly based on late gadolinium enhancement (LGE). The distribution volume of the clinically used extracellular GBCAs is increased in infarcted tissue due to its larger extracellular volume (ECV) and slower clearance of GBCA. LGE imaging exploits these differences in contrast concentration and generates images of myocardial scar with high-tissue contrast and high-spatial resolution. On LGE, segments with <25% transmural extent of infarction have a high likelihood of functional recovery whereas segments with >75% transmural infarction are unlikely to recover after revascularization.39 An alternative method for viability assessment with MRI is low-dose dobutamine cine imaging, which has comparable accuracy to stress echocardiography to detect functional reserve as a marker of viability. In a meta-analysis, 50% subendocardial LGE had sensitivity (95%) and sensitivity (51%) for prediction of functional recovery following revascularization.40 Low-dose dobutamine had a lower sensitivity (81%) but greater specificity (91%) to predict functional recovery.40

PET

Viability assessment by PET is based on metabolic assessment. 18F-FDG is a radiolabelled glucose analogue that becomes trapped within cardiac myocytes following intracellular uptake and provides strong signal for PET imaging.41,42 Optimal assessment of viability requires integration of perfusion and 18F-FDG uptake.42 Dysfunctional segments are ‘chronically stunned’ (preserved perfusion and 18F-FDG uptake), ‘hibernating’ (impaired perfusion, preserved 18F-FDG uptake), or ‘scarred’ (impaired perfusion and 18F-FDG uptake).42 A pooled analysis demonstrated sensitivity of 92% and specificity of 63% for 18F-FDG to predict functional recovery following revascularization.43

PET-MR

As shown, MRI and PET use different biological approaches to assess myocardial viability. To date, most studies have focussed on cross-validation of techniques rather than exploitation of synergy.

Published studies have reported good agreement with LGE transmurality and 18F-FDG uptake with PET-MR in viability assessment.9,44,45 In a study of patients prior to consideration for coronary revascularization, PET-MR reclassified 19% of segments reported as ‘not assessable’ due to intermediate LGE (25–75% transmurality) after integration of 18F-FDG.46 This led to a recommendation for revascularization of only one additional coronary vessel compared with MRI alone in 12 patients.46 MRI performed at 6 months follow-up found that initial 18F-FDG was a better predictor for functional recovery than baseline LGE (Figure 1).44

Figure 1.

Figure 1

Different combinations of 18F-FDG uptake and LGE transmurality with PET-MR. Left column: ‘PET viable/MRI viable’; middle column: ‘PET non-viable/MRI non-viable’; right column: ‘PET non-viable/MRI viable’. White arrows indicate infarcted myocardium. Reproduced with permission from ref. 44.

Future outlook

Hybrid PET-MR offers potential for combined morphological, functional, and metabolic assessment of myocardial viability. Hybrid PET-MR may provide incremental diagnostic value particularly in cases where MRI or PET alone provide intermediate probabilities of functional recovery such as in cases with LGE of 25–75%. Furthermore, in complex cases such as multivessel CAD and ischaemic cardiomyopathy, multimodal imaging may provide complementary information to more accurately predict functional recovery. This could be achieved in a single PET-MR scan by combining data on contractile function with dobutamine stress cardiovascular magnetic resonance and co-registration of 18F-FDG PET activity in addition to wall thickness and LGE. Potential clinical utility will only be realized in larger studies that define clear incremental benefit of patient outcomes.

Coronary imaging

Non-invasive coronary imaging is the domain of cardiac CT but both MRI and PET provide relevant information on coronary arterial pathology, in particular atherosclerotic plaque, and their combination holds promise for risk stratification.

MRI

Magnetic resonance angiography can visualize the proximal course of coronary arteries in almost all cases47 and is recommended in guidelines for assessment of coronary artery anomalies and aortocoronary bypass grafts but not detection of coronary stenosis.48 Coronary vessel wall imaging with black-blood MRI demonstrates increased wall thickness in CAD patients.49,50 Non-contrast T1-weighted images visualized intracoronary thrombus with sensitivity 91% in patients following acute myocardial infarction.51 Furthermore, high-intensity plaques identified by non-contrast T1-weighted images were an independent factor for predicting coronary events.52

PET

Arterial 18F-FDG and increased carotid 18F-FDG uptake are associated with increased risk of adverse cardiovascular events.53,54 However, 18F-FDG coronary imaging is challenging as left ventricular myocardial glucose uptake often obscures activity within coronary vessels. There is growing interest into 18F-Fluoride, which has a predilection for vascular microcalcification, a feature of high-risk atheroma.55 Coronary 18F-Fluoride uptake was demonstrated in patients with high Framingham risk score and was localized in culprit lesions in 93% of patients following acute myocardial infarction.56,5768Ga-DOTATATE, a specific macrophage tracer, was detected in culprit coronary lesions in patients with recent myocardial infarction or high-risk stable lesions and was a better discriminator of high-risk atherosclerotic lesions than 18F-FDG.58

PET-MR

The potential of hybrid PET-MR for coronary imaging has been demonstrated in a number of feasibility studies.

Coronary PET-MR was performed with 18F-Fluoride or 18F-FDG in 23 patients with CAD or risk factors for CAD.59 Several ‘hotspots’ of 18F-Fluoride were observed in the coronary arteries of patients with established CAD and a novel AC method eliminated significant artefacts compared with standard AC methods.59

Another study demonstrated greater 18F-Fluoride uptake compared with non-culprit lesions on PET-MR following percutaneous revascularization.60 Interestingly, 18F-Fluoride uptake was demonstrated within infarcted myocardium, depicted from scar tissue, and in coronary plaque.60 (Figure 2).

Figure 2.

Figure 2

Subendocardial LGE demonstrating extensive infarct tissue (A) overlaid with 18F-Fluoride uptake indicating myocardial microcalcification (B). Reproduced with permission from ref. 60.

Future outlook

Clinical studies of PET-MR thus far have demonstrated techniques to localize plaque rupture, although imaging was performed following acute cardiac events. Of much greater clinical relevance is the ability to localize and identify vulnerable plaques prior to rupture. Hybrid PET-MR imaging is well suited to meet this challenge: anatomical detail and plaque characterization can be obtained from MRI and combined with inflammatory atherosclerotic plaque activity from PET. Furthermore, emerging MRI motion models may be applied at multiple time points to motion-correct PET data and MRI data simultaneously without additional radiation.20 Emerging radiotracers (Table 2) such as 18F-Fluoride and 68Ga-DOTATATE may be evaluated with developing MRI motion correction techniques for precise anatomical identification of high-risk coronary plaques prior to rupture. This may allow targeted selection of high-risk patients for aggressive risk factor modification or revascularization and prevent adverse outcome.

Table 2.

Radiotracers with potential clinical utility with PET-MR

Radiotracer Mechanism Potential use Future applications
18F-FDG Glucose analogue, undergoes intracellular phosphorylation and trapped without further metabolism
  • Viability

  • Inflammation

  • Sarcoidosis

  • Integrated 18F-FDG with dobutamine stress MRI, LGE, and mapping may accurately predict functional recovery.

  • Potential for improved diagnostic accuracy and risk stratification in cardiac sarcoidosis and myocarditis with combined mapping, LGE and 18F-FDG.

18F-Flouride Microcalcification
  • Coronary plaque imaging

  • Amyloid

  • Fused coronary anatomy with high-risk atherosclerotic inflammatory activity with 18F-Fluoride may predict plaque rupture to guide preventative therapy.

  • May discriminate ATTR amyloid from AL amyloid.

68Ga-DOTATATE Binds to activated inflammatory macrophages Coronary plaque imaging Superior coronary imaging and better discriminator between culprit and non-culprit lesions compared with 18F-FDG. Combined anatomical and metabolic activity could be used to identify high-risk lesions prior to rupture.
18F-Florbetaben Binds to β amyloid Amyloid Integrated T1-mapping and LGE with MRI with novel PET tracers may accurately diagnose cardiac amyloid.
11C-Acetate Oxidative metabolism
  • Viability assessment

  • Metabolic efficiency assessment

Combined 11C-Acetate and low-dose-dobutamine may accurately predict functional recovery following coronary revascularization or response to cardiac resynchronization therapy.

Cardiac sarcoidosis

Sarcoidosis is a multisystem granulomatous disorder that causes arrhythmia, conduction disease, cardiac failure, or sudden cardiac death. No universally accepted diagnostic test exists for cardiac sarcoidosis and sensitivity of endomyocardial biopsy is around 20%.61 Diagnosis of cardiac sarcoidosis is challenging, and multimodality imaging is recommended with MRI and PET in a recent international position paper (Figure 3).62

Figure 3.

Figure 3

Recommended strategy for non-invasive imaging for assessment of patients with suspected cardiac sarcoidosis. Reproduced with permission from ref. 62.

MRI

Most commonly reported MRI findings in cardiac sarcoidosis include LGE of the mid-wall/epicardium of basal septum and lateral wall, and subendocardial and transmural enhancement.63 LGE in patients with cardiac sarcoidosis was an independent predictor for ventricular tachycardia and death.64,65 Patients (n = 61) with cardiac sarcoidosis (biopsy confirmed or clinical criteria) were found to have greater T1, T2, and ECV values compared with volunteers.66 A reduction in native T1 and T2 values was reported in 18 patients following anti-inflammatory therapy.67 Parametric mapping may serve as an imaging biomarker of disease activity and inflammation and guide anti-inflammatory therapy rather than LGE, which indicates fibrosis and may represent late sequelae or non-active disease.

PET

18F-FDG lends itself well to identification of inflammatory lesions in active sarcoidosis as there is increased glucose utilization from macrophage activity. Careful patient preparation with low-carbohydrate diet and fasting prior to imaging is essential to avoid false positive results.68 PET imaging for sarcoidosis includes imaging with a perfusion radiotracer and 18F-FDG uptake with three patterns recognized: normal perfusion and no 18F-FDG uptake, abnormal perfusion or 18F-FDG uptake, and abnormal perfusion and metabolism.69 A perfusion-metabolism mismatch (reduced perfusion and increased 18F-FDG uptake) was associated with increased risk of cardiac death or ventricular arrhythmia.69

A meta-analysis demonstrated sensitivity of 89% and specificity of 78% for 18F-FDG to detect cardiac sarcoidosis compared with Japanese Ministry of Health and Welfare (JMHW) criteria.70

PET-MR

Several studies have utilized PET-MR in patients with suspected cardiac sarcoidosis.

In a study of 51 patients, the sensitivities for cardiac sarcoidosis detection of PET and MRI alone were 85% and 82%, respectively, which improved to 94% with hybrid PET-MR using the JMHW criteria as reference standard in patients with suspected cardiac sarcoidosis.71 There was poor agreement between regions of high 18F-FDG uptake and LGE, although this is not an unexpected finding as the two modalities measure different entities of disease activity, and this study highlights the complementary information acquired from both modalities. At 2-year follow up, cardiac right ventricular PET involvement and presence of LGE were independent predictors of adverse events.71

In another study, PET-MR was used in 25 patients with suspected active sarcoidosis, defined as positive LGE and 18F-FDG uptake (Figure 4).72 Higher 18F-FDG SUV outperformed T2-mapping by MRI (area under the curve 0.98 vs. 0.75, respectively) for detection of active sarcoidosis.72 This study demonstrated the utility of hybrid imaging to differentiate active cardiac sarcoidosis from non-active disease with an alternative classification, that may be more clinically meaningful compared with current established diagnostic criteria.

Figure 4.

Figure 4

Imaging active cardiac sarcoidosis. Left panel: Late gadolinium enhancement (LGE) MRI. Right panel: Hybrid LGE and 18F-fluorodeoxyglucose (18F-FDG). (A) Subepicardial LGE in basal anteroseptum extending into right ventricular free wall and increased 18F-FDG uptake at same region on fused PET-MR. (B) Subepicardial LGE in the basal anterolateral wall with increased 18F-FDG uptake co-localizing to identical region on PET-MR. (C) Patchy midwall LGE in anterolateral wall with matched increased 18F-FDG uptake on PET-MR. (D) Multifocal LGE in lateral wall with matched increased 18F-FDG uptake on PET-MR. Reproduced with permission from ref. 72.

Future outlook

Hybrid PET-MR combines two powerful imaging modalities to obtain complementary information on distinct pathological processes in cardiac sarcoidosis: 18F-FDG PET delineates acute myocardial inflammation from macrophage activity, whilst MRI reveals regional motion wall abnormalities from granuloma formation, fibrosis from LGE, oedema from T2, and changes in myocardial structure with parametric mapping. The combination of precisely coregistered data in a single scan may be used to devise and validate much needed accurate diagnostic criteria for cardiac sarcoidosis. Furthermore, hybrid PET-MR may provide unique insights into the pathophysiology of cardiac sarcoidosis and serve as an imaging biomarker to guide anti-inflammatory therapy. Hybrid PET-MR may also derive perfusion-metabolism information from MRI perfusion data and 18F-FDG activity at reduced radiation burden.

Myocarditis

Myocarditis is an inflammatory condition that causes chest pain, acute or chronic heart failure, life threatening arrhythmias, or cardiogenic shock.73 MRI is now commonly used in the diagnosis of myocarditis and to differentiate from myocardial infarction, while PET can also detect acute inflammation in myocarditis.

MRI

MRI provides important information in patients with myocarditis: increased signal intensity with T2-weighted imaging in acute myocarditis results from oedema, early gadolinium enhancement (EGE) demonstrates capillary leakage and LGE identifies infiltration and scar, typically in the inferolateral walls and less frequently in the anteroseptum.74

The ‘Lake Louise’ Criteria (which are currently being revised) requires two of three positive MRI features—EGE, LGE, and T2 imaging.74 In addition, native T1-mapping may be used and in a study 50 patients had superior diagnostic performance compared with T2-weighted imaging in patients with suspected myocarditis.75 Furthermore, native T1 provided incremental diagnostic value and outperformed the original Lake-Louise criteria in acute myocarditis.76

PET

18F-FDG is highly sensitive to metabolically active inflammation.7718F-FDG had sensitivity and specificity of 100% for detection of endomyocardial biopsy proven active myocarditis in patients when performed within 14 days of onset.78 Another study demonstrated increased uptake of 68Ga-DOTA-TOC in patients when PET-CT performed within 3–10 days of symptom onset.79

PET-MR

In the only study of simultaneous PET-MR in patients (n = 55) with suspected myocarditis, there was good agreement between 18F-FDG and T2 and/or LGE (Figure 5).80 However, no EGE imaging was performed, nor did patients undergo endomyocardial biopsy as a reference standard. 18F-FDG may provide additive information in patients with diffuse myocardial damage not detectable by MRI in diffuse inflammation or before myocyte necrosis.

Figure 5.

Figure 5

PET-MR images in myocarditis. Inferolateral wall mid-wall fibrosis (MRI) (A), homogenous T2 signal intensity (MRI) (B). Increased 18F-FDG signal in the inferolateral wall (PET) (C). Fused PET-MR with increased 18F-FDG uptake at the site of inferolateral LGE (D). Reproduced with permission from ref. 80.

Future outlook

A study of combined parametric mapping and 18F-FDG has yet to be performed, which will be of greater value for cross-validation. Moreover, PET-MR may aid in staging and risk stratification of patients with myocarditis by combining inflammatory activity with PET 18F-FDG or novel tracers such as 68Ga-DOTA-TOC with MRI assessment of fibrosis and oedema. In addition, PET-MR may guide biopsy of inflammatory foci with high metabolic activity through precise anatomical localization by MRI.81

Amyloidosis

Cardiac amyloidosis is an infiltrative condition characterized by deposition of beta-pleated sheets and causes restrictive cardiomyopathy. Differentiation of light-chain amyloid (AL) or wild type/familial-related amyloid (ATTR) is important as treatment and prognosis differ.

MRI

Typical MRI findings in amyloidosis include symmetric or asymmetric left ventricular thickening, biatrial enlargement, and pleural effusions. LGE shows global transmural or subendocardial LGE in non-coronary artery territory distribution82 and had sensitivity of 85% and specificity of 92% for detection of cardiac amyloid in a recent meta-analysis.83 Transmural LGE was an independent marker for mortality in patients with cardiac amyloid.84 Native T1-values are elevated in ATTR amyloid patients compared with volunteers and patients with hypertrophic cardiomyopathy.85

PET

11C-Pittsburgh B, a radiotracer for detection of beta-amyloid deposits in Alzheimer’s patients, was detected in 13/15 patients with biopsy confirmed cardiac amyloid, whereas none was detected in patients without amyloid.8618F-Florbetapir also detects beta-amyloid plaques and a pilot study demonstrated greater uptake in patients with cardiac amyloid compared with controls.87,88

PET-MR

Only one published study to date has explored PET-MR in cardiac amyloid. Seven patients with AL or ATTR amyloid and 7 controls underwent PET-MR imaging.89 T1 values were similar between AL and ATTR amyloid. Fused and co-registered images allowed precise measurement of tissue 18F-Fluoride activity in areas of myocardial amyloid deposition depicted by LGE. ATTR amyloid patients had higher tissue-to-background ratios of 18F-Fluoride uptake compared with AL amyloid patients or controls.89

Future outlook

Hybrid PET-MR may have a role in the future to discriminate AL and ATTR amyloid heart disease, although larger clinical studies are required prior to consideration as a routine clinical application.

Anderson-Fabry disease

Anderson-Fabry disease (AFD), an X-linked lysosomal storage disorder characterized by deficiency of alpha-galactosidase, results in glycosphingolipids accumulation and may cause left ventricular hypertrophy (LVH), myocardial fibrosis, systolic and diastolic dysfunction, arrhythmia, conduction disease, and sudden death.90 Early diagnosis is important as enzyme replacement therapy (EZT) can reverse disease progression.91

MRI

Typical MRI findings in AFD include concentric, asymmetric, or apical LVH and mid-wall fibrosis of the basal inferolateral wall.92,93 Native T1-mapping can add to the detection of AFD since lipids lower T1-values and accurately discriminate AFD from other causes of LVH such as hypertrophic cardiomyopathy, aortic stenosis, and hypertension.94

PET

Two studies reported that AFD patients had lower MPR with 15O-Water compared with controls.95,96 This may relate to increased vascular resistance secondary to cardiac myocyte hypertrophy and fibrosis due to intracellular glycosphingolipids accumulation. Accumulating glycolipids may trigger an inflammatory response with pro-inflammatory cytokines and increased macrophage activity that eventually lead to fibrotic changes.97 PET may have a role to potentially detect inflammation at early stages of disease.

PET-MR

In a study of 13 patients with AFD who underwent PET-MR, 5 patients had LVH and focal LGE fibrosis of which 3 had positive STIR and focal 18F-FDG uptake.98 The latter group had raised cardiac troponin levels, whilst those patients with negative STIR images did not have focal 18F-FDG uptake. The authors suggested PET-MR differentiated mature fibrosis or scar from fibrosis associated to active inflammation. However, this was a small sample size and several patients had homogenous 18F-FDG uptake, possibly indicating insufficient myocardial suppression.

Future outlook

PET-MR may aid diagnosis of AFD, provide insights into immunopathology of different disease stages and have potential as an imaging biomarker to guide EZT.

Cardiac masses

In clinical practice, cardiac masses are primarily imaged with echocardiography and CT, while MRI and PET are reserved for further characterization.

MRI

MRI can interrogate cardiac masses with T1-weighted black-blood imaging for mass localization, cine imaging for morphology, mobility and functional consequence, and tagging for assessment of attachments to other structures.99 T1 and T2-weighted imaging with/without fat suppression aids further tissue characterization.99 Furthermore, EGE allows thrombus detection, LGE allows assessment of extracellular matrix, whilst perfusion allows vascularity assessment. MRI has diagnostic accuracy of 92% for prediction of lesion type compared with histology findings.100 LGE can differentiate benign and malignant tumours with diagnostic accuracy of 79%.101

PET

PET allows whole body evaluation of masses with 18F-FDG uptake for staging, monitoring therapy, and prognosis. Malignant tumours have greater 18F-FDG uptake compared with benign tumours.102 The diagnostic accuracy for detection of malignant lesions was 96%, with SUVmax cut-off of 3.5–4.0.103

PET-MR

In a study of 20 patients who underwent PET-MR for cardiac mass assessment, 18F-FDG SUVmax was higher in malignant lesions and SUVmax cut-off of 5.2 provided 100% sensitivity and 92% specificity for malignancy detection.104 Similarly, a 100% sensitivity and 92% specificity was achieved for MRI to detect malignancy, using combined cine imaging, T1-weighted, T2-weighted, post-contrast T1-weighted images and presence of pericardial effusion.104 A hybrid approach of MRI and PET with SUVmax cut-off of 5.2 increased sensitivity and specificity to 100%. These are interesting findings, although first-pass perfusion, EGE or LGE imaging was not reported as part of the ‘MRI only’ classification, which may have otherwise increased diagnostic accuracy for MRI alone.

Future outlook

Hybrid PET-MR can offer additional information though precise co-registration and localization of masses to be undertaken, with detailed interrogation with high resolution T1 and T2-weighted images, parametric mapping, perfusion, LGE imaging and 18F-FDG uptake in one sitting that may improve diagnosis, staging and provide further clarity on disease activity.

Future perspectives

PET-MR is an emerging modality gaining widespread interest for application to cardiovascular disease.

The ability to obtain multiple radiation-free MRI data to motion-correct PET data is highly attractive, and future research will focus on improved efficiency and reduction in acquisition time of MRI sequences to simultaneously enhance PET images, quantitative PET data as well as MRI data, particularly for coronary imaging and the application of emerging radiotracers.

AC has long been a challenge for PET-MR and novel methods to develop highly accurate AC maps such as with the inclusion of bone segmentation may be applied in future studies.14 Manual methods for misalignment of AC maps allows correction and studies thus far have demonstrated PET-MR provides comparable quantitative data to PET-CT. Another pressing challenge is a solution for AC map signal drop-out from metallic artefacts, which may become increasingly important in the future with emerging MRI compatible implantable cardiac devices at 3 T,105 the field strength of available clinical PET-MR systems.

PET-MR is an expensive modality that requires proximity to a cyclotron, specialist staff trained in PET and MRI for patient preparation, image acquisition, AC, post-processing, analysis and reporting. Simultaneous PET-MR imaging may improve patient workflow, with improved patient experience of a single scan. However, clear clinical indications for a hybrid PET-MR scan require evidence of incremental benefit compared with sequential imaging with separate MRI and PET scans. There is vast potential for application to research for cardiac PET-MR, particularly for coronary imaging which may pave the way for multicentre studies for identification of high-risk vulnerable plaques prior to rupture. With the current evidence available, clinical PET-MR may be well suited to conditions such as cardiac masses and suspected cardiac sarcoidosis where hybrid imaging offers precise co-registration and fusion of complementary information that may provide incremental value.

Once clear clinical indications and pathways are developed, these will need to be recognized as cost-effective for healthcare systems with a defined route for reimbursement.

Conclusion

Hybrid PET-MR combines two powerful imaging modalities to fuse and co-register anatomical detail, tissue characterization, and metabolic data. Technical challenges with AC remain and there is large potential for motion correction of PET data from MRI data. Several studies thus far have focussed on cross-validation of techniques and emerging studies indicate incremental benefit beyond sequential MRI and PET imaging. Future large studies will determine incremental utility of combined rather than sequential imaging and whether PET-MR will be restricted to the research domain or cement itself in the clinical arena.

Acknowledgments

Funding

The authors acknowledge financial support from the Department of Health through the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre award to Guy's & St Thomas' NHS Foundation Trust in partnership with King's College London and King's College Hospital NHS Foundation Trust and by the NIHR Healthcare Technology Co-operative for Cardiovascular Disease at Guy's and St Thomas' NHS Foundation Trust. This work was supported by the Wellcome/EPSRC Centre for Medical Engineering [WT 203148/Z/16/Z]. M.S.N. was funded by the UK Medical Research Council under grant number MR/P01979X/1. S.P. was funded by a British Heart Foundation Chair under grant number CH/16/2/32089. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, the DoH, EPSRC, MRC or the Wellcome Trust.

Conflict of interest: None declared.

References

  • 1. Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P. et al. Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: a consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn Reson 2017;19:75.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Vandenberghe S, Marsden PK.. PET-MRI: a review of challenges and solutions in the development of integrated multimodality imaging. Phys Med Biol 2015;60:R115–54. [DOI] [PubMed] [Google Scholar]
  • 3. Muzic RF, DiFilippo FP.. PET/MRI—Technical Review. Semin Roentgenol 2014;49:242–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Kinahan PE, Townsend DW, Beyer T, Sashin D.. Attenuation correction for a combined 3D PET/CT scanner. Med Phys 1998;25:2046–53. [DOI] [PubMed] [Google Scholar]
  • 5. Keereman V, Mollet P, Berker Y, Schulz V, Vandenberghe S.. Challenges and current methods for attenuation correction in PET/MR. MAGMA 2013;26:81–98. [DOI] [PubMed] [Google Scholar]
  • 6. Dixon WT. Simple proton spectroscopic imaging. Radiology 1984;153:189–94. [DOI] [PubMed] [Google Scholar]
  • 7. Martinez-Moller A, Souvatzoglou M, Delso G, Bundschuh RA, Chefd'hotel C, Ziegler SI. et al. Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: evaluation with PET/CT data. J Nucl Med 2009;50:520–6. [DOI] [PubMed] [Google Scholar]
  • 8. Keereman V, Fierens Y, Broux T, De Deene Y, Lonneux M, Vandenberghe S.. MRI-based attenuation correction for PET/MRI using ultrashort echo time sequences. J Nucl Med 2010;51:812–8. [DOI] [PubMed] [Google Scholar]
  • 9. Nensa F, Poeppel TD, Beiderwellen K, Schelhorn J, Mahabadi AA, Erbel R. et al. Hybrid PET/MR imaging of the heart: feasibility and initial results. Radiology 2013;268:366.. [DOI] [PubMed] [Google Scholar]
  • 10. Oldan JD, Shah SN, Brunken RC, DiFilippo FP, Obuchowski NA, Bolen MA.. Do myocardial PET-MR and PET-CT FDG images provide comparable information? J Nucl Cardiol 2016;23:1102.. [DOI] [PubMed] [Google Scholar]
  • 11. Vontobel J, Liga R, Possner M, Clerc OF, Mikulicic F, Veit-Haibach P. et al. MR-based attenuation correction for cardiac FDG PET on a hybrid PET/MRI scanner: comparison with standard CT attenuation correction. Eur J Nucl Med Mol Imaging 2015;42:1574–80. [DOI] [PubMed] [Google Scholar]
  • 12. Lau JMC, Laforest R, Sotoudeh H, Nie X, Sharma S, McConathy J. et al. Evaluation of attenuation correction in cardiac PET using PET/MR. J Nucl Cardiol 2017;24:839–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Lassen ML, Rasul S, Beitzke D, Stelzmuller ME, Cal-Gonzalez J, Hacker M. et al. Assessment of attenuation correction for myocardial PET imaging using combined PET/MRI. J Nucl Cardiol 2017. https://doi.org/10.1007/s12350-017-1118-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Paulus DH, Quick HH, Geppert C, Fenchel M, Zhan Y, Hermosillo G. et al. Whole-body PET/MR imaging: quantitative evaluation of a novel model-based MR attenuation correction method including bone. J Nucl Med 2015;56:1061–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Berker Y, Franke J, Salomon A, Palmowski M, Donker HC, Temur Y. et al. MRI-based attenuation correction for hybrid PET/MRI systems: a 4-class tissue segmentation technique using a combined ultrashort-echo-time/Dixon MRI sequence. J Nucl Med 2012;53:796–804. [DOI] [PubMed] [Google Scholar]
  • 16. Furst S, Grimm R, Hong I, Souvatzoglou M, Casey ME, Schwaiger M. et al. Motion correction strategies for integrated PET/MR. J Nucl Med 2015;56:261–9. [DOI] [PubMed] [Google Scholar]
  • 17. Fayad H, Schmidt H, Wuerslin C, Visvikis D.. Reconstruction-incorporated respiratory motion correction in clinical simultaneous PET/MR imaging for oncology applications. J Nucl Med 2015;56:884–9. [DOI] [PubMed] [Google Scholar]
  • 18. Grimm R, Furst S, Souvatzoglou M, Forman C, Hutter J, Dregely I. et al. Self-gated MRI motion modeling for respiratory motion compensation in integrated PET/MRI. Med Image Anal 2015;19:110–20. [DOI] [PubMed] [Google Scholar]
  • 19. Kolbitsch C, Ahlman MA, Davies-Venn C, Evers R, Hansen M, Peressutti D. et al. Cardiac and respiratory motion correction for simultaneous cardiac PET/MR. J Nucl Med 2017;58:846–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Munoz C, Neji R, Cruz G, Mallia A, Jeljeli S, Reader AJ. et al. Motion-corrected simultaneous cardiac positron emission tomography and coronary MR angiography with high acquisition efficiency. Magn Reson Med 2018;79:339–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C, Budaj A. et al. 2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J 2013;34:2949–3003. [DOI] [PubMed] [Google Scholar]
  • 22. Takx RA, Blomberg BA, El Aidi H, Habets J, de Jong PA, Nagel E. 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:e002666. [DOI] [PubMed] [Google Scholar]
  • 23. Sammut EC, Villa ADM, Di Giovine G, Dancy L, Bosio F, Gibbs T. et al. Prognostic value of quantitative stress perfusion cardiac magnetic resonance. JACC Cardiovasc Imaging 2018;11:686–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Kellman P, Hansen MS, Nielles-Vallespin S, Nickander J, Themudo R, Ugander M. et al. Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification. J Cardiovasc Magn Reson 2017;19:43.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Engblom H, Xue H, Akil S, Carlsson M, Hindorf C, Oddstig J. et al. Fully quantitative cardiovascular magnetic resonance myocardial perfusion ready for clinical use: a comparison between cardiovascular magnetic resonance imaging and positron emission tomography. J Cardiovasc Magn Reson 2017;19:78.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Klein R, Beanlands RS, deKemp RA.. Quantification of myocardial blood flow and flow reserve: technical aspects. J Nucl Cardiol 2010;17:555–70. [DOI] [PubMed] [Google Scholar]
  • 27. Bol A, Melin JA, Vanoverschelde JL, Baudhuin T, Vogelaers D, De Pauw M. et al. Direct comparison of 13N ammonia and 15O water estimates of perfusion with quantification of regional myocardial blood flow by microspheres. Circulation 1993;87:512.. [DOI] [PubMed] [Google Scholar]
  • 28. Nitzsche EU, Choi Y, Czernin J, Hoh CK, Huang SC, Schelbert HR.. Noninvasive quantification of myocardial blood flow in humans. A direct comparison of the [13N]ammonia and the [15O]water techniques. Circulation 1996;93:2000–6. [DOI] [PubMed] [Google Scholar]
  • 29. Nandalur KR, Dwamena BA, Choudhri AF, Nandalur SR, Reddy P, Carlos RC.. Diagnostic performance of positron emission tomography in the detection of coronary artery disease: a meta-analysis. Acad Radiol 2008;15:444.. [DOI] [PubMed] [Google Scholar]
  • 30. Dorbala S, Hachamovitch R, Curillova Z, Thomas D, Vangala D, Kwong RY. et al. Incremental prognostic value of gated Rb-82 positron emission tomography myocardial perfusion imaging over clinical variables and rest LVEF. JACC Cardiovasc Imaging 2009;2:846–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Yoshinaga K, Chow BJ, Williams K, Chen L, deKemp RA, Garrard L. et al. What is the prognostic value of myocardial perfusion imaging using rubidium-82 positron emission tomography? J Am Coll Cardiol 2006;48:1029.. [DOI] [PubMed] [Google Scholar]
  • 32. Bratis K, Mahmoud I, Chiribiri A, Nagel E.. Quantitative myocardial perfusion imaging by cardiovascular magnetic resonance and positron emission tomography. J Nucl Cardiol 2013;20:860–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Kajander SA, Joutsiniemi E, Saraste M, Pietila M, Ukkonen H, Saraste A. et al. Clinical value of absolute quantification of myocardial perfusion with (15)O-water in coronary artery disease. Circ Cardiovasc Imaging 2011;4:678–84. [DOI] [PubMed] [Google Scholar]
  • 34. Ziadi MC, Dekemp RA, Williams K, Guo A, Renaud JM, Chow BJ. et al. Does quantification of myocardial flow reserve using rubidium-82 positron emission tomography facilitate detection of multivessel coronary artery disease? J Nucl Cardiol 2012;19:670–80. [DOI] [PubMed] [Google Scholar]
  • 35. Graf S, Khorsand A, Gwechenberger M, Novotny C, Kletter K, Sochor H. et al. Typical chest pain and normal coronary angiogram: cardiac risk factor analysis versus PET for detection of microvascular disease. J Nucl Med 2007;48:175–81. [PubMed] [Google Scholar]
  • 36. Ziadi MC, Dekemp RA, Williams KA, Guo A, Chow BJ, Renaud JM. et al. Impaired myocardial flow reserve on rubidium-82 positron emission tomography imaging predicts adverse outcomes in patients assessed for myocardial ischemia. J Am Coll Cardiol 2011;58:740.. [DOI] [PubMed] [Google Scholar]
  • 37. Fukushima K, Javadi MS, Higuchi T, Lautamaki R, Merrill J, Nekolla SG. et al. Prediction of short-term cardiovascular events using quantification of global myocardial flow reserve in patients referred for clinical 82Rb PET perfusion imaging. J Nucl Med 2011;52:726–32. [DOI] [PubMed] [Google Scholar]
  • 38. Kunze KP, Nekolla SG, Rischpler C, Zhang SH, Hayes C, Langwieser N. et al. Myocardial perfusion quantification using simultaneously acquired (13) NH3-ammonia PET and dynamic contrast-enhanced MRI in patients at rest and stress. Magn Reson Med 2018. https://doi.org/10.1002/mrm.27213. [DOI] [PubMed] [Google Scholar]
  • 39. Kim RJ, Wu E, Rafael A, Chen EL, Parker MA, Simonetti O. et al. The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med 2000;343:1445–53. [DOI] [PubMed] [Google Scholar]
  • 40. Romero J, Xue X, Gonzalez W, Garcia MJ.. CMR imaging assessing viability in patients with chronic ventricular dysfunction due to coronary artery disease: a meta-analysis of prospective trials. JACC Cardiovasc Imaging 2012;5:494–508. [DOI] [PubMed] [Google Scholar]
  • 41. Camici PG. Positron emission tomography and myocardial imaging. Heart 2000;83:475–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Schinkel AFL, Poldermans D, Elhendy A, Bax JJ.. Assessment of myocardial viability in patients with heart failure. J Nucl Med 2007;48:1135–46. [DOI] [PubMed] [Google Scholar]
  • 43. Schinkel AF, Bax JJ, Poldermans D, Elhendy A, Ferrari R, Rahimtoola SH.. Hibernating myocardium: diagnosis and patient outcomes. Curr Probl Cardiol 2007;32:375.. [DOI] [PubMed] [Google Scholar]
  • 44. Rischpler C, Langwieser N, Souvatzoglou M, Batrice A, van Marwick S, Snajberk J. et al. PET/MRI early after myocardial infarction: evaluation of viability with late gadolinium enhancement transmurality vs. 18F-FDG uptake. Eur Heart J Cardiovasc Imaging 2015;16:661–9. [DOI] [PubMed] [Google Scholar]
  • 45. Rischpler C, Dirschinger RJ, Nekolla SG, Kossmann H, Nicolosi S, Hanus F. et al. Prospective evaluation of 18F-Fluorodeoxyglucose uptake in postischemic myocardium by simultaneous positron emission tomography/magnetic resonance imaging as a prognostic marker of functional outcome. Circ Cardiovasc Imaging 2016;9:e004316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Priamo J, Adamopoulos D, Rager O, Frei A, Noble S, Carballo D. et al. Downstream indication to revascularization following hybrid cardiac PET/MRI: preliminary results. Nucl Med Commun 2017;38:515.. [DOI] [PubMed] [Google Scholar]
  • 47. Chiribiri A, Botnar RM, Nagel E.. Magnetic resonance coronary angiography: where are we today? Curr Cardiol Rep 2013;15:328.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Hundley WG, Bluemke DA, Finn JP, Flamm SD, Fogel MA, Friedrich MG. et al. ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. J Am Coll Cardiol 2010;55:2614–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Kim WY, Stuber M, Bornert P, Kissinger KV, Manning WJ, Botnar RM.. Three-dimensional black-blood cardiac magnetic resonance coronary vessel wall imaging detects positive arterial remodeling in patients with nonsignificant coronary artery disease. Circulation 2002;106:296–9. [DOI] [PubMed] [Google Scholar]
  • 50. Fayad ZA, Fuster V, Fallon JT, Jayasundera T, Worthley SG, Helft G. et al. Noninvasive in vivo human coronary artery lumen and wall imaging using black-blood magnetic resonance imaging. Circulation 2000;102:506–10. [DOI] [PubMed] [Google Scholar]
  • 51. Jansen CH, Perera D, Makowski MR, Wiethoff AJ, Phinikaridou A, Razavi RM. et al. Detection of intracoronary thrombus by magnetic resonance imaging in patients with acute myocardial infarction. Circulation 2011;124:416–24. [DOI] [PubMed] [Google Scholar]
  • 52. Noguchi T, Kawasaki T, Tanaka A, Yasuda S, Goto Y, Ishihara M. et al. High-intensity signals in coronary plaques on noncontrast T1-weighted magnetic resonance imaging as a novel determinant of coronary events. J Am Coll Cardiol 2014;63:989–99. [DOI] [PubMed] [Google Scholar]
  • 53. Figueroa AL, Abdelbaky A, Truong QA, Corsini E, MacNabb MH, Lavender ZR. et al. Measurement of arterial activity on routine FDG PET/CT images improves prediction of risk of future CV events. JACC Cardiovasc Imaging 2013;6:1250–9. [DOI] [PubMed] [Google Scholar]
  • 54. Moon SH, Cho YS, Noh TS, Choi JY, Kim BT, Lee KH.. Carotid FDG uptake improves prediction of future cardiovascular events in asymptomatic individuals. JACC Cardiovasc Imaging 2015;8:949–56. [DOI] [PubMed] [Google Scholar]
  • 55. Irkle A, Vesey AT, Lewis DY, Skepper JN, Bird JL, Dweck MR. et al. Identifying active vascular microcalcification by (18)F-sodium fluoride positron emission tomography. Nat Commun 2015;6:7495.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Dweck MR, Chow MW, Joshi NV, Williams MC, Jones C, Fletcher AM. et al. Coronary arterial 18F-sodium fluoride uptake: a novel marker of plaque biology. J Am Coll Cardiol 2012;59:1539–48. [DOI] [PubMed] [Google Scholar]
  • 57. Joshi NV, Vesey AT, Williams MC, Shah AS, Calvert PA, Craighead FH. et al. 18F-fluoride positron emission tomography for identification of ruptured and high-risk coronary atherosclerotic plaques: a prospective clinical trial. Lancet 2014;383:705–13. [DOI] [PubMed] [Google Scholar]
  • 58. Tarkin JM, Joshi FR, Evans NR, Chowdhury MM, Figg NL, Shah AV. et al. Detection of atherosclerotic inflammation by (68)Ga-DOTATATE PET compared to [(18)F]FDG PET imaging. J Am Coll Cardiol 2017;69:1774–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Robson PM, Dweck MR, Trivieri MG, Abgral R, Karakatsanis NA, Contreras J. et al. Coronary artery PET/MR imaging: feasibility, limitations, and solutions. JACC Cardiovasc Imaging 2017;10:1103–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Marchesseau S, Seneviratna A, Sjoholm AT, Qin DL, Ho JXM, Hausenloy DJ. et al. Hybrid PET/CT and PET/MRI imaging of vulnerable coronary plaque and myocardial scar tissue in acute myocardial infarction. J Nucl Cardiol 2017. https://doi.org/10.1007/s12350-017-0918-8. [DOI] [PubMed] [Google Scholar]
  • 61. Uemura A, Morimoto S, Hiramitsu S, Kato Y, Ito T, Hishida H.. Histologic diagnostic rate of cardiac sarcoidosis: evaluation of endomyocardial biopsies. Am Heart J 1999;138:299.. [DOI] [PubMed] [Google Scholar]
  • 62. A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology. Eur Heart J Cardiovasc Imaging 2017;18:1073–89. [DOI] [PubMed] [Google Scholar]
  • 63. Patel MR, Cawley PJ, Heitner JF, Klem I, Parker MA, Jaroudi WA. et al. Detection of myocardial damage in patients with sarcoidosis. Circulation 2009;120:1969.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Murtagh G, Laffin LJ, Beshai JF, Maffessanti F, Bonham CA, Patel AV. et al. Prognosis of myocardial damage in sarcoidosis patients with preserved left ventricular ejection fraction: risk stratification using. Circ Cardiovasc Imaging 2016;9:e003738.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Hulten E, Agarwal V, Cahill M, Cole G, Vita T, Parrish S. et al. Presence of late gadolinium enhancement by cardiac magnetic resonance among patients with suspected cardiac sarcoidosis is associated with adverse cardiovascular prognosis: a systematic review and meta-analysis. Circ Cardiovasc Imaging 2016;9:e005001.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Greulich S, Kitterer D, Latus J, Aguor E, Steubing H, Kaesemann P. et al. Comprehensive cardiovascular magnetic resonance assessment in patients with sarcoidosis and preserved left ventricular ejection fraction. Circ Cardiovasc Imaging 2016;9:e005022. [DOI] [PubMed] [Google Scholar]
  • 67. Puntmann VO, Isted A, Hinojar R, Foote L, Carr-White G, Nagel E.. T1 and T2 mapping in recognition of early cardiac involvement in systemic sarcoidosis. Radiology 2017;285:63–72. [DOI] [PubMed] [Google Scholar]
  • 68. Dorbala S, Di Carli MF, Delbeke D, Abbara S, DePuey EG, Dilsizian V. et al. SNMMI/ASNC/SCCT guideline for cardiac SPECT/CT and PET/CT 1.0. J Nucl Med 2013;54:1485–507. [DOI] [PubMed] [Google Scholar]
  • 69. Blankstein R, Osborne M, Naya M, Waller A, Kim CK, Murthy VL. et al. Cardiac positron emission tomography enhances prognostic assessments of patients with suspected cardiac sarcoidosis. J Am Coll Cardiol 2014;63:329–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Youssef G, Leung E, Mylonas I, Nery P, Williams K, Wisenberg G. et al. The use of 18F-FDG PET in the diagnosis of cardiac sarcoidosis: a systematic review and metaanalysis including the Ontario experience. J Nucl Med 2012;53:241–8. [DOI] [PubMed] [Google Scholar]
  • 71. Wicks EC, Menezes LJ, Barnes A, Mohiddin SA, Sekhri N, Porter JC. et al. Diagnostic accuracy and prognostic value of simultaneous hybrid 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging in cardiac sarcoidosis. Eur Heart J Cardiovasc Imaging 2018;19:757–67. [DOI] [PubMed] [Google Scholar]
  • 72. Dweck MR, Abgral R, Trivieri MG, Robson PM, Karakatsanis N, Mani V. et al. Hybrid magnetic resonance imaging and positron emission tomography with fluorodeoxyglucose to diagnose active cardiac sarcoidosis. JACC Cardiovasc Imaging 2018;11:94–107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Caforio AL, Pankuweit S, Arbustini E, Basso C, Gimeno-Blanes J, Felix SB. et al. Current state of knowledge on aetiology, diagnosis, management, and therapy of myocarditis: a position statement of the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases. Eur Heart J 2013;34:2636.. [DOI] [PubMed] [Google Scholar]
  • 74. Friedrich MG, Sechtem U, Schulz-Menger J, Holmvang G, Alakija P, Cooper LT. et al. Cardiovascular magnetic resonance in myocarditis: a JACC white paper. J Am Coll Cardiol 2009;53:1475.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Ferreira VM, Piechnik SK, Dall'Armellina E, Karamitsos TD, Francis JM, Ntusi N. et al. T1 mapping for the diagnosis of acute myocarditis using CMR: comparison to T2-weighted and late gadolinium enhanced imaging. JACC Cardiovasc Imaging 2013;6:1048–58. [DOI] [PubMed] [Google Scholar]
  • 76. Lurz P, Luecke C, Eitel I, Fohrenbach F, Frank C, Grothoff M. et al. Comprehensive cardiac magnetic resonance imaging in patients with suspected myocarditis: the MyoRacer-Trial. J Am Coll Cardiol 2016;67:1800–11. [DOI] [PubMed] [Google Scholar]
  • 77. Jamar F, Buscombe J, Chiti A, Christian PE, Delbeke D, Donohoe KJ. et al. EANM/SNMMI guideline for 18F-FDG use in inflammation and infection. J Nucl Med 2013;54:647–58. [DOI] [PubMed] [Google Scholar]
  • 78. Ozawa K, Funabashi N, Daimon M, Takaoka H, Takano H, Uehara M. et al. Determination of optimum periods between onset of suspected acute myocarditis and 18F-fluorodeoxyglucose positron emission tomography in the diagnosis of inflammatory left ventricular myocardium. Int J Cardiol 2013;169:196–200. [DOI] [PubMed] [Google Scholar]
  • 79. Lapa C, Reiter T, Li X, Werner RA, Samnick S, Jahns R. et al. Imaging of myocardial inflammation with somatostatin receptor based PET/CT—a comparison to cardiac MRI. Int J Cardiol 2015;194:44–9. [DOI] [PubMed] [Google Scholar]
  • 80. Nensa F, Kloth J, Tezgah E, Poeppel TD, Heusch P, Goebel J. et al. Feasibility of FDG-PET in myocarditis: comparison to CMR using integrated PET/MRI. J Nucl Cardiol 2018;25:785–94. [DOI] [PubMed] [Google Scholar]
  • 81. Juneau D, Erthal F, Alzahrani A, Alenazy A, Nery PB, Beanlands RS. et al. Systemic and inflammatory disorders involving the heart: the role of PET imaging. Q J Nucl Med Mol Imaging 2016;60:383–96. [PubMed] [Google Scholar]
  • 82. Syed IS, Glockner JF, Feng D, Araoz PA, Martinez MW, Edwards WD. et al. Role of cardiac magnetic resonance imaging in the detection of cardiac amyloidosis. JACC Cardiovasc Imaging 2010;3:155–64. [DOI] [PubMed] [Google Scholar]
  • 83. Zhao L, Tian Z, Fang Q.. Diagnostic accuracy of cardiovascular magnetic resonance for patients with suspected cardiac amyloidosis: a systematic review and meta-analysis. BMC Cardiovasc Disord 2016;16:129.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Fontana M, Pica S, Reant P, Abdel-Gadir A, Treibel TA, Banypersad SM. et al. Prognostic value of late gadolinium enhancement cardiovascular magnetic resonance in cardiac amyloidosis. Circulation 2015;132:1570–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Fontana M, Banypersad SM, Treibel TA, Maestrini V, Sado DM, White SK. et al. Native T1 mapping in transthyretin amyloidosis. JACC Cardiovasc Imaging 2014;7:157–65. [DOI] [PubMed] [Google Scholar]
  • 86. Lee SP, Lee ES, Choi H, Im HJ, Koh Y, Lee MH. et al. 11C-Pittsburgh B PET imaging in cardiac amyloidosis. JACC Cardiovasc Imaging 2015;8:50–9. [DOI] [PubMed] [Google Scholar]
  • 87. Dorbala S, Vangala D, Semer J, Strader C, Bruyere JR Jr, Di Carli MF. et al. Imaging cardiac amyloidosis: a pilot study using (1)(8)F-florbetapir positron emission tomography. Eur J Nucl Med Mol Imaging 2014;41:1652–62. [DOI] [PubMed] [Google Scholar]
  • 88. Villemagne VL, Ong K, Mulligan RS, Holl G, Pejoska S, Jones G. et al. Amyloid imaging with (18)F-florbetaben in Alzheimer disease and other dementias. J Nucl Med 2011;52:1210–7. [DOI] [PubMed] [Google Scholar]
  • 89. Trivieri MG, Dweck MR, Abgral R, Robson PM, Karakatsanis NA, Lala A. et al. 18F-Sodium Fluoride PET/MR for the assessment of cardiac amyloidosis. J Am Coll Cardiol 2016;68:2712–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90. Linhart A, Elliott PM.. The heart in Anderson-Fabry disease and other lysosomal storage disorders. Heart 2007;93:528–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Eng CM, Guffon N, Wilcox WR, Germain DP, Lee P, Waldek S. et al. Safety and efficacy of recombinant human alpha-galactosidase A replacement therapy in Fabry’s disease. N Engl J Med 2001;345:9–16. [DOI] [PubMed] [Google Scholar]
  • 92. Deva DP, Hanneman K, Li Q, Ng MY, Wasim S, Morel C. et al. Cardiovascular magnetic resonance demonstration of the spectrum of morphological phenotypes and patterns of myocardial scarring in Anderson-Fabry disease. J Cardiovasc Magn Reson 2016;18:14.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Moon JC, Sachdev B, Elkington AG, McKenna WJ, Mehta A, Pennell DJ. et al. Gadolinium enhanced cardiovascular magnetic resonance in Anderson-Fabry disease. Evidence for a disease specific abnormality of the myocardial interstitium. Eur Heart J 2003;24:2151–5. [DOI] [PubMed] [Google Scholar]
  • 94. Sado DM, White SK, Piechnik SK, Banypersad SM, Treibel T, Captur G. et al. Identification and assessment of Anderson-Fabry disease by cardiovascular magnetic resonance noncontrast myocardial T1 mapping. Circ Cardiovasc Imaging 2013;6:392–8. [DOI] [PubMed] [Google Scholar]
  • 95. Kalliokoski RJ, Kalliokoski KK, Sundell J, Engblom E, Penttinen M, Kantola I. et al. Impaired myocardial perfusion reserve but preserved peripheral endothelial function in patients with Fabry disease. J Inherit Metab Dis 2005;28:563–73. [DOI] [PubMed] [Google Scholar]
  • 96. Elliott PM, Kindler H, Shah JS, Sachdev B, Rimoldi OE, Thaman R. et al. Coronary microvascular dysfunction in male patients with Anderson-Fabry disease and the effect of treatment with alpha galactosidase A. Heart 2006;92:357–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Rozenfeld P, Feriozzi S.. Contribution of inflammatory pathways to Fabry disease pathogenesis. Mol Genet Metab 2017;122:19–27. [DOI] [PubMed] [Google Scholar]
  • 98. Nappi C, Altiero M, Imbriaco M, Nicolai E, Giudice CA, Aiello M. et al. First experience of simultaneous PET/MRI for the early detection of cardiac involvement in patients with Anderson-Fabry disease. Eur J Nucl Med Mol Imaging 2015;42:1025–31. [DOI] [PubMed] [Google Scholar]
  • 99. Motwani M, Kidambi A, Herzog BA, Uddin A, Greenwood JP, Plein S.. MR imaging of cardiac tumors and masses: a review of methods and clinical applications. Radiology 2013;268:26–43. [DOI] [PubMed] [Google Scholar]
  • 100. Hoffmann U, Globits S, Schima W, Loewe C, Puig S, Oberhuber G. et al. Usefulness of magnetic resonance imaging of cardiac and paracardiac masses. Am J Cardiol 2003;92:890–5. [DOI] [PubMed] [Google Scholar]
  • 101. Pazos-López P, Pozo E, Siqueira ME, García-Lunar I, Cham M, Jacobi A. et al. Value of CMR for the differential diagnosis of cardiac masses. JACC Cardiovasc Imaging 2014;7:896–905. [DOI] [PubMed] [Google Scholar]
  • 102. Rahbar K, Seifarth H, Schafers M, Stegger L, Hoffmeier A, Spieker T. et al. Differentiation of malignant and benign cardiac tumors using 18F-FDG PET/CT. J Nucl Med 2012;53:856–63. [DOI] [PubMed] [Google Scholar]
  • 103. Shao D, Wang SX, Liang CH, Gao Q.. Differentiation of malignant from benign heart and pericardial lesions using positron emission tomography and computed tomography. J Nucl Cardiol 2011;18:668–77. [DOI] [PubMed] [Google Scholar]
  • 104. Nensa F, Tezgah E, Poeppel TD, Jensen CJ, Schelhorn J, Kohler J. et al. Integrated 18F-FDG PET/MR imaging in the assessment of cardiac masses: a pilot study. J Nucl Med 2015;56:255–60. [DOI] [PubMed] [Google Scholar]
  • 105. van Dijk VF, Delnoy PPHM, Smit JJJ, Misier RAR, Elvan A, van Es HW. et al. Preliminary findings on the safety of 1.5 and 3 Tesla magnetic resonance imaging in cardiac pacemaker patients. J Cardiovasc Electrophysiol 2017;28:806–10. [DOI] [PubMed] [Google Scholar]

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