Abstract
Cardiovascular disease due to atherosclerosis is still the main cause of morbidity and mortality worldwide. This disease is a complex systemic disorder arising from a network of pathological processes within the arterial vessel wall, and, outside of the vasculature, in the hematopoietic system and organs involved in metabolism. Recent years have seen tremendous efforts in the development and validation of quantitative imaging technologies for the non-invasive evaluation of patients with atherosclerotic cardiovascular disease. Specifically, the advent of combined positron emission tomography (PET) and magnetic resonance imaging (MRI) scanners has opened new exciting opportunities in cardiovascular imaging. In this review we will describe how combined PET/MRI scanners can be leveraged to evaluate atherosclerotic cardiovascular disease at the whole-body level, with specific focus on pre-clinical animal models of disease, from mouse to non-human primates. We will broadly describe 3 major areas of application: i) vascular imaging, for advanced atherosclerotic plaque phenotyping and evaluation of novel imaging tracers or therapeutic interventions; ii) assessment of the ischemic heart and brain; and iii) whole-body imaging of the hematopoietic system. Finally, we will provide insights on potential novel technical developments which may further increase the relevance of integrated PET/MRI in pre-clinical atherosclerosis studies.
Keywords: PET/MRI, atherosclerosis, cardiovascular disease, pre-clinical imaging
Subject codes. Animal Models of Human Disease, Inflammation, Magnetic Resonance Imaging (MRI), Nuclear Cardiology and PET, Atherosclerosis
Graphical abstract
Atherosclerosis, the underlying cause of many cardiovascular diseases, is a complex systemic disorder arising from a network of pathological processes within the arterial vessel wall, and, outside of the vasculature, in the hematopoietic system1, 2 and organs involved in metabolism. Recent years have seen tremendous efforts in the development and validation of non-invasive technologies based on positron emission tomography (PET) and magnetic resonance imaging (MRI), to enable the quantitative multi-parametric and multi-modality evaluation of cardiovascular disease at the whole-body level2.
The information provided by cardiovascular PET and MRI is very different, yet highly complementary3 (Table 1). Positron emission tomography (PET) is a quantitative nuclear imaging technique that allows the visualization of radioisotopes and is mostly applied to investigate tissue metabolic and physiological state at the molecular level with high sensitivity4. 18F-labeled fluorodeoxyglucose (FDG) is the most widely used and validated PET tracer in clinical and pre-clinical atherosclerosis research4. 18F-FDG is a radiolabeled glucose analog that is internalized, but not metabolized, by metabolically active cells4. In the arterial vessel wall, 18F-FDG is a well validated surrogate quantitative marker of vessel wall inflammation (plaque macrophage content)5–7, a hallmark of vulnerable plaques at high risk for causing myocardial infarction and stroke. In the infarcted heart, 18F-FDG PET can be used to assess cardiomyocyte viability in the remote myocardium8, or, alternatively, active inflammation in the infarct itself9, both important markers of patients’ prognosis. In agreement with recent mouse atherosclerosis studies10, clinical studies show that 18F-FDG PET can also inform on increased metabolic activity in hematopoietic organs (bone marrow and spleen) and in the aortic arch in patients with recent myocardial infarction11, 12, suggesting that this technique is well positioned to provide a systems-level evaluation of myelopoiesis in cardiovascular disease. PET imaging has also been successfully applied in multiple clinical and pre-clinical atherosclerosis trials, as a surrogate endpoint of anti-inflammatory drug efficacy using 18F-FDG, or to track the whole-body distribution (kinetics) of novel therapeutics based on radiolabeled antibodies and nanomedicines. In this setting, this technique consistently demonstrated reduction of 18F-FDG uptake and plaque inflammation after treatment with standard-of-care statins13, but variable results with other anti-inflammatory compounds. To surpass these challenges, PET tracers other than 18F-FDG are also being actively explored to investigate other processes involved in atherogenesis14 and offer a more specific quantification of inflammatory cells.
Table 1.
Separately, MRI-based methods have been developed and widely employed over the years to probe several parameters related to atherogenesis and its local and systemic consequences. MRI acquisitions with one preferred image weighting (T1, T2 or proton density [PD]) can be used to assess atherosclerotic plaque area, vessel wall thickening and overall disease burden in a specific vessel15. The combination of MR images with different weightings with or without gadolinium (Gd) enhancement, or the use of more quantitative T1 and T2 relaxation mapping, allow the identification of different plaque components related to vulnerability, such as presence of lipid core and fibrous cap15. Other quantitative techniques, such as dynamic contrast enhanced (DCE) MRI, can be used to measure endothelial permeability and neovascularization in the vessel wall, infarcted heart and hematopoietic organs, parameters related to plaque inflammation and vulnerability, myocardial damage, and immune cell migration16. Molecular imaging approaches, such as iron oxide-enhanced MRI, can offer valuable insights into the molecular and cellular makeup of vulnerable atherosclerotic plaques17.
Up to now, most atherosclerosis imaging studies using PET and MRI have probed only one or a few imaging parameters at a time, and separately focused either on the vasculature, the infarcted heart or brain, or hematopoietic organs. Furthermore, most studies have used only one imaging modality, either MRI or PET, or, at best, sequential acquisitions with both techniques. However, these approaches do not optimally take advantage of the complementary information provided by cardiovascular PET and MRI.
The advent of combined PET/MRI scanners opens new exciting opportunities in cardiovascular imaging3. Commonly, PET is acquired together with computed tomography (CT) on hybrid PET/CT scanners. However, CT provides only limited information on plaque burden and phenotype compared to MRI. Better than PET/CT, integrated PET/MRI effectively combines the highly sensitive, quantitative information from PET with the superior soft tissue contrast and multi-parametric evaluation allowed by MRI. Crucial to the success of cardiovascular PET/MRI has been the recent development of fully 3 dimensional (3D), high-resolution (0.63-0.83 mm3) vascular MRI sequences with extended spatial coverage18–20. On integrated PET/MRI scanners, these 3D MRI acquisitions allow obtaining information on plaque burden, composition and permeability/neovascularization that can be seamlessly co-registered with PET readouts of disease activity. Last but not least, compared to PET/CT, PET/MRI acquires these sophisticated metrics while lowering subjects’ exposure to ionizing radiation. This feature facilitates longitudinal follow-up studies, which is relevant for long term monitoring of chronic diseases, such as atherosclerosis. Thanks to these advantages, several groups foresee that the use of cardiovascular PET/MRI may rapidly rise in the near future21.
In this review, we will focus on the specific strengths of PET/MRI for the whole-body multi-parametric evaluation of atherosclerotic cardiovascular disease in the pre-clinical arena, from mice to non-human primates. We will broadly describe 3 major areas of application: i) vascular imaging, for advanced atherosclerotic plaque phenotyping and evaluation of novel imaging tracers or therapeutic interventions; ii) assessment of the ischemic heart and brain; and iii) whole-body imaging of the hematopoietic system. Finally, we will provide insights into the remaining challenges in using this multi-modality approach for atherosclerosis research, and potential novel technical developments which may further increase the relevance of integrated PET/MRI in pre-clinical atherosclerosis studies.
Vascular PET/MRI for advanced plaque phenotyping and in drug development
In the pre-clinical field, vascular imaging studies using sequential or combined PET/MRI have been conducted in small (mice, rats) and large (rabbit, swine) animal models of atherosclerosis. Studies in mice have often employed sequential acquisitions on separate PET/CT and MRI scanners, or, more rarely, combined PET/MRI systems consisting either of prototype PET inserts fitted for small animal MRI scanners, or standalone integrated solutions. Many of these studies have used high-field MRI to aid in the development and validation of novel PET atherosclerosis tracers developed to improve the detection of vulnerable plaques (such as 64Cu-labeled soluble scavenger receptor (CD68-Fc) targeted to foam cells22 and 68Ga-labeled fucoidan targeted to P-selectin23). Using similar approaches, other studies in mice and rats have focused on the development of multimodal agents that can be detected by both MRI and PET to improve plaque characterization, such as 64Cu-labeled Gd-bovine serum albumin (Gd-BSA) or cross-linked iron-oxides (CLIOs)24, and 68Ga-labeled iron oxide nanoparticles25.
Vascular PET/MRI studies in large animals, such as atherosclerotic rabbits and pigs, have instead focused on improving plaque phenotyping and the assessment of therapeutic response using already available or novel PET tracers, combined with high-resolution multi-parametric MRI. Early rabbit studies used sequential 18F-FDG PET/CT of plaque inflammation, MRI of plaque burden and DCE-MRI of permeability/neovascularization as separate non-invasive readouts of therapeutic efficacy of FDA-approved and novel anti-atherosclerotic compounds (such as atorvastatin7, glucocorticoid loaded liposomes26, liver X receptor [LXR] agonists7, pioglitazone6). The application of combined clinical PET/MRI scanners for imaging large animal models of cardiovascular disease is more recent, but has significant advantages, as large animal PET/MRI acquisition and analysis protocols are translatable to humans. Among the first to use this approach, Millon et al.27 used a clinical PET/MRI system consisting of two separate, but immediately adjacent, PET and MRI scanners (Philips 3T Achieva, Philips Healthcare Systems, Best, The Netherlands), to assess therapeutic response to a 6 months atorvastatin regimen (3 mg/Kg/day) plus switch to a chow diet in rabbits. Plaque inflammation was quantified with both 18F-FDG PET and MRI with a novel ultrasmall iron oxide particle (P904, Guerbet, Paris, France). The authors found a reduction in plaque 18F-FDG and iron oxide uptake after treatment, with good correlations between the two imaging readouts and histology (R2 = 0.778 and 0.707 respectively). Differently than previous studies employing PET/CT, no change in these parameters was found in the progression (control) group, kept on high fat diet. Using instead a fully combined PET/MRI scanner (Biograph mMR, Siemens Healthineers, Erlangen, Germany), we28 evaluated the therapeutic efficacy of a novel leukotriene synthesis inhibitor in a rabbit atherosclerosis model. This more advanced setup allowed us to fully integrate the measurement of plaque inflammation by 18F-FDG PET with high-resolution, 3 dimensional imaging of atherosclerosis burden (plaque area) by MRI and endothelial permeability/neovascularization by DCE-MRI across the whole rabbit infrarenal abdominal aorta. In addition to providing a more comprehensive evaluation of therapeutic efficacy, this integrated framework allowed exploring the correlations between these co-registered imaging metrics. This analysis revealed significant relationships between inflammation by 18F-FDG PET, permeability/neovascularization by DCE-MRI and plaque burden by MRI. On the same platform, Senders et al.29 have recently employed combined PET/MR for in-depth atherosclerotic plaque phenotyping encompassing the quantification of inflammation by 18F-FDG PET, microcalfication (a parameter related to inflammation) by 18F sodium fluoride (NaF) PET, plaque burden by 3D MRI and plaque permeability/neovascularization by 3D DCE-MRI (Figure 1). Additionally, the authors used non-invasive PET/MRI to screen 3 novel nanobody-based PET tracers directed, respectively, against vascular cell adhesion molecule (VCAM)-1, lectin-like oxidized low-density lipoprotein receptor (LOX)-1, and macrophage mannose receptor (MMR). After thorough evaluation of the 64Cu-labeled nanobodies in mice and rabbits (Figure 1A), the MMR specific nanobody was selected for labeling with the more clinically relevant isotope 68Ga and applied for plaque characterization in atherosclerotic rabbits by PET/MRI (Figure 1B). An increase in all imaging metrics was observed during plaque progression, in concordance with histological measurements (Figure 1B). Similarly, other studies have also employed combined PET/MR to evaluate novel PET atherosclerosis tracers in rabbits, such as 18F-labeled modified polyglucose nanoparticles as a macrophage burden marker30, 64Cu-labeled diacetyl-bis(N-methylthiosemicarbazone) (ATSM) as a marker of hypoxia31, 89Zr-labeled antigen-binding fragments against oxidation epitopes (Fab LA25)32, or 89Zr-labeled hyaluronan nanoparticles33. Finally, Ludvigsen et al.34 have also applied combined 18F-FDG PET/MRI to evaluate plaque phenotype in Gottingen minipigs. Notably, the authors found a good correlation between 18F-FDG plaque uptake by PET/MRI and expression of genes involved in plaque inflammation, with marked differences between atherosclerotic and control pigs, and pigs removed from high fat diet. These results support the potential of both this imaging technique and the animal model for translational imaging studies in atherosclerosis.
PET/MRI of the heart and brain after ischemia
Combined PET/MRI is also increasingly being used in clinical and pre-clinical studies to gain insight into the pathophysiology of the heart and brain after ischemia. In early studies, Lee et al.35 used sequential PET and MRI to improve the assessment of myocardial infarction in mice (Figure 2A). Since PET and MRI were acquired on different machines, the authors designed a custom-made mouse bed and a PET/CT gantry adapter allowing to seamlessly transfer the mouse between the two scanners. In addition, a custom-built ‘vest’ consisting of several loops of PE50 tubing filled with 15% iodine water (visible by both CT and MRI) was placed around the mouse chest. A two-step approach was taken to co-register PET and MR images, by initially obtaining rough alignment of the two datasets using the holder position, followed by translational and rotational alignment using a cross correlation algorithm. Testing of a 18F phantom revealed a peak correlation of 0.91 +/− 0.02 between MRI and PET signal, implying excellent co-registration. This sophisticated setup allowed accurately matching infarct scar areas delineated by late gadolinium enhancement (LGE) MRI with infarct inflammation by 18F-FDG PET, and provided significantly valuable insights on the time course of 18F-FDG activity and myeloid cell recruitment into the infarcted and remote myocardium during the time course of the experiment. Using the same co-registration approach, Vandoorne et al.36 used sequential PET/CT and MR imaging with 68Ga-NODAGA-RGD, an integrin αvβ3-specific PET tracer, and RhoB-albumin-Gd-DTPA to demonstrate, respectively, increased endothelial cell activation and permeability in the bone marrow of mice injected with the Toll-like receptor (TLR) ligand lipopolysaccharide. While this study is not strictly specific to atherosclerosis, it shows how sequential PET/MRI may be useful to probe vascular remodeling in hematopoietic organs following emergency hematopoiesis, which also occurs after cardiovascular events. Taking this a step forward, Buscher et al.37 used a prototype small animal PET/MRI system consisting of a 7T small-animal MRI scanner (ClinScan; Bruker BioSpin MRI) equipped with a custom-designed PET insert, to simultaneously evaluate cardiac metabolism and function in mice after myocardial infarction. PET images acquired on this prototype system were compared to a high-resolution standalone PET scanner. While demonstrating significantly lower count sensitivity, left ventricular function evaluated using the PET insert was in good agreement between the two scanners and with MRI. Furthermore, while infarct to remote myocardium contrast was lower in images acquired with the PET insert, this setup still allowed for the accurate detection of cardiac inflammation after ischemia.
In the brain, only a handful of clinical38 and pre-clinical studies so far have employed simultaneous PET/MRI to gain insights into the pathophysiology of stroke. In mice, Ouyang et al.39 described the utilization of a standalone integrated PET and MRI system to simultaneously monitor drops in water diffusion and glucose utilization using diffusion weighted imaging (DWI) and 18F-FDG PET in the brain of mice subjected to cerebral hypoxia-ischemia. Rather than applying these techniques at a specific time point after induction of ischemia, integrated PET/MRI allowed follow-up of dynamic changes in both these parameters during the hypoxic stimulus using multi-parametric, multi-modal imaging. Werner et al.40 instead employed a clinical PET/MRI system to evaluate the concordance between perfusion-weighted MRI and [15O]H2O PET in 10 human subjects and 3 male merino sheep after ischemic stroke (Figure 2B), with the aim of improving the selection of patients who may benefit from thrombolysis. This work demonstrated feasibility of combined PET/MRI in this patient population, with no impact on standard clinical workflow. Only moderate agreement was found between perfusion weighted MRI and [15O]H2O PET, with correlations being higher for sheep than in humans, most likely because of a more homogeneous disease etiology in the animal model.
Whole-body PET/MRI: a tool in the development of novel nanotherapies
In addition to the therapeutic studies mentioned in previous sections, combined PET/MRI can aid in the development and validation of novel anti-atherosclerosis nanotherapies, beyond the assessment of therapeutic efficacy in the vasculature alone. While extensive and sophisticated ex vivo assays are typically employed to study therapeutic effects in mice, in large animal models in vivo translational PET/MRI can be used to assess a nanoformulation’s pharmacokinetics, biodistribution and plaque targeting (through 89Zr radiolabeling) as well as therapeutic efficacy. For example, as a follow up to several studies already demonstrating plaque accumulation of long circulating nanoparticles in atherosclerotic rabbits26, 41–43 and patients44, a recent study by Lobatto et al.45 employed longitudinal imaging with both PET/CT and PET/MRI to evaluate the distribution and plaque targeting of 89Zr-labeled liposomal nanoparticles in a rabbit model of atherosclerosis. Aortic uptake of 89Zr-labeled liposomes by PET/CT and PET/MRI was highly correlated. However, better than PET/CT, integrated PET/MRI allowed co-localizing nanoparticle uptake with areas of increased plaque permeability/neovascularization by 3D DCE-MRI. Another study46 also used serial PET/MRI to investigate the organ distribution of reconstituted high-density lipoprotein (HDL) in the rabbit model. While HDL is an important class of lipoproteins involved in reverse cholesterol transport from atherosclerotic plaques, thanks to their affinity for plaque macrophages they have also been proposed as a potential plaque macrophage mapping agent47, 48. In this study, two radiolabeling strategies were pursued, with 89Zr attached to either APOA1 (89Zr-AI-HDL) or a phospholipid (89Zr-PL-HDL) through the chelator deferoxamine B (DFO), which allowed studying the kinetics of HDL’s main components by PET/MRI. Rabbits were imaged at several time points after nanoparticle injection (1 hour, 1, 2, 3 and 5 days). While early imaging time points showed that both 89Zr-AI-HDL and 89Zr-PL-HDL mainly resided in the blood pool, later time points showed accumulation in kidneys, liver and spleen. Both particles also accumulated in the bone, and specifically in the bone marrow, as confirmed by ex vivo analysis. Higher aortic accumulation of both 89Zr-AI-HDL and 89Zr-PL-HDL in atherosclerotic versus control animals was found at 5 days post injection, while the quantification of aortic signal at earlier time points was confounded by residual blood pool activity. Regardless of the radiolabel location, both particles were found to target plaque macrophages and monocytes.
Following extensive mouse work47, 48, two recent studies have used whole-body PET/MRI in large animals in an effort to assess the translational potential of nanoimmunotherapeutics for atherosclerosis. Binderup et al.49 investigated the in vivo behavior and therapeutic efficacy of HDL loaded with simvastatin (S-HDL) by multimodal clinical imaging in rabbit and pig models of atherosclerosis (Figure 3). Ensuing PET/CT biodistribution imaging of 89Zr-labeled S-HDL (89Zr-[S]-HDL), vessel wall targeting was evaluated in the rabbit abdominal aorta and in the pigs’ femoral arteries. Both in vivo PET/MRI and ex vivo assays indicated that while 89Zr-[S]-HDL accumulated preferentially in atherosclerotic plaques, its accumulation was not merely governed by increased permeability, but by active targeting of plaque macrophages. Advanced plaque phenotyping by a workflow integrating 18F-fluorothymidine (18F-FLT) PET, 18F-FDG PET, 3D DCE-MRI and high-resolution T2-weighted MRI allowed studying, respectively, macrophage proliferation, inflammation, vessel wall permeability and plaque burden. This protocol was applied to assess S-HDL’s therapeutic efficacy and revealed decreased plaque burden (vessel wall area) in treated atherosclerotic rabbits, and halted plaque progression in pigs, compared to untreated animals. In a separate study by the same research group, Lameijer et al.50 have used integrated PET/MRI of non-human primates to investigate the safety and biodistribution of a novel nanoimmunotherapy aimed at hampering CD40 - CD40 ligand co-stimulation through tumor necrosis factor receptor-associated factor 6 (TRAF6) inhibition. The authors developed a fully integrated protocol based on high-resolution, whole-body 3 dimensional MRI and dynamic PET to track organ accumulation of 89Zr-labeled TRAF6i-HDL dynamically and longitudinally in this model on a whole body level. Non-human primates were imaged using dynamic PET for the first hour after tracer administration, and then longitudinally at 1, 2 and 3 days after injection using static PET imaging. Initially, strong uptake in the kidneys was observed, followed by uptake in the spleen and liver, which persisted at later time-points. Importantly, PET/MRI findings were confirmed by ex vivo radiometric assays performed at the 72 hours time point, thereby suggesting that whole body PET/MRI is a viable strategy to quantify biodistribution of novel nanoimmunotherapeutics in vivo, non-invasively and longitudinally.
The future of pre-clinical cardiovascular PET/MRI: challenges and new opportunities
As it emerges from the sections above, while the use of cardiovascular PET/MRI in pre-clinical models is still in its infancy, the application of this technology holds great promise to improve our understanding of atherogenesis and the assessment of novel anti-atherosclerotic strategies. However, there are still remaining challenges in the application of combined PET/MRI to pre-clinical atherosclerosis research, mostly related to the limited availability of commercial PET/MR scanners for small animal imaging, and to difficulties in performing accurate PET attenuation correction for large animal models on clinical PET/MR imagers.
While commercial PET/MR small animal imagers are available, they are offered by most vendors as a combination of pre-clinical PET systems with 1 or 3 tesla (T) MRI systems. These field strengths are quite low compared to most standalone small animal MR scanners and might not be suitable for high-resolution imaging of the atherosclerotic arterial wall in small rodents. Other solutions, consisting of either sequential systems or PET inserts have been tested at higher field strengths, up to 9.4T, which are better suited for vascular imaging. However, sequential systems do not offer the significant advantage of simultaneous PET and MR acquisitions, such as monitoring different biological processes at the same time. On the other hand, while often offering the flexibility of being also used as standalone PET systems, PET inserts might require additional maintenance and pose significant hurdles during their use.
The use of clinical PET/MR scanners for clinical and large animal pre-clinical cardiovascular research also faces specific challenges. While correlation between tracer uptake values between PET/CT and PET/MRI has been found to be strong46, several studies have reported a significant bias and underestimation of PET standardized uptake value (SUV), a validated measure of tracer uptake, by PET/MRI compared to PET/CT51. In these studies, the main cause of SUV underestimation was believed to be related to issues specific to PET/MRI attenuation correction, such as assignment of wrong attenuation values due to incorrect segmentation and classification of MR images acquired for the purposes of attenuation correction52, or the lack of a bone compartment in many MR-based attenuation maps53, 54. In the case of cardiovascular imaging, this may result in significant errors in the quantification of PET tracer uptake in vascular structures close to bone, such as the carotid artery, and abdominal aorta (close to the spine), or for evaluation of the bone marrow itself. Several approaches, such as ultra-short or zero echo time (TE) imaging or ‘atlas’-based attenuation maps55, have been proposed to overcome this issue. However, these solutions may add a layer of complexity to the evaluation of PET/MRI data, as they require ad hoc post-processing, or, such as in the case of atlases, they may be mainly built for human applications and are therefore not suitable for pre-clinical imaging. In this landscape, MR-based attenuation correction of PET data in pre-clinical imaging remains a challenge, especially for large animal models of disease, and may still require significant efforts to process PET image reconstruction offline, on a case by case basis.
Despite these lingering challenges, there are also several areas where the application of combined PET/MRI may greatly benefit pre-clinical cardiovascular imaging in the near future. As demonstrated by several pre-clinical and clinical atherosclerosis studies, PET/MRI offers the distinct benefit of allowing co-localization of the PET signal with different plaque features (such as wall thickness, or composition) evaluated by multi-parametric MRI, employing either different MR weightings, or readouts (such as perfusion imaging). As already described, this unique approach allows the combination of different multi-modality imaging features for in-depth plaque phenotyping. Furthermore, the high resolution and superior soft tissue contrast of MR images, allow the application of partial volume error (PVE) correction techniques to PET images, to improve the definition of vascular PET tracer uptake. Partial volume errors consist in the contamination of signal from neighboring image voxels, leading to inaccurate quantification. These artifacts are particularly relevant to vascular imaging, either clinical or pre-clinical, due to the intrinsically small size of the arterial vessel wall. Several clinical studies have employed high-resolution vascular MR data to improve the resolution of PET images56, 57, and therefore the quantification of vascular radiotracer uptake. In small animals, PVE correction techniques have been used, for example, to improve the image-derived quantification of blood tracer activity (the so-called arterial input function, AIF) in the rabbit abdominal aorta58, and in the mouse left ventricle59, to aid dynamic imaging studies.
Combined PET/MRI may also prove fundamental in improving quality and contrast of PET images of the moving heart3, for the more accurate assessment of vascular inflammation or myocardial viability after ischemia, or for assessment of the coronary arteries60. Different than PET/CT, where cardiac and respiratory motion are typically dealt with by ‘gating’ acquired PET data on the basis of external ECG monitors and respiratory bellows, integrated PET/MRI allows for motion correction of the PET data using the dynamic acquisition of MR images with high spatiotemporal resolution during the cardiac and respiratory cycles. From these MR images, motion vector fields can be calculated and applied to the whole set of PET emission data, to reconstruct high signal-to-noise, motion-corrected PET images. Furthermore, this approach allows estimating attenuation maps during the cardiac and respiratory cycles, thereby eliminating possible image artifacts due to motion in the attenuation maps themselves. While several clinical cardiovascular PET/MRI studies have addressed this topic61, some groups have also tested this framework in pre-clinical models. For example, in rabbits and non-human primates, Ouyang et al.62 have shown the development of a procedure to dynamically acquire information on cardiac and respiratory motion by MRI and applied derived motion vector fields to simultaneously acquired PET images, for the purpose of motion correction. The authors showed that MR-based motion correction improved detection of hot spheres implanted in the rabbits’ diaphragm and liver, without increasing image noise with respect to a six times longer gated acquisition. Similar results were found in the non-human primate experiment.
Finally, PET/MRI might be instrumental to the development of ‘smart’, bimodal imaging probes for better characterization of pathophysiological processes in the vasculature or other organs involved in cardiovascular disease. As an example, Frullano et al.63 have described the use of combined PET/MRI to accurately measure pH with the pH-sensitive agent GdDOTA-4AMP. Since the relaxivity of GdDOTA-4AMP is pH dependent, the concentration of the agent, which is needed for absolute pH quantification, cannot be extrapolated solely from changes in tissue T1 relaxation time. The authors elegantly proposed to radiolabel GdDOTA-4AMP with the radioisotope 18F to accurately measure the MR contrast agent concentration by simultaneous PET imaging. This bimodal imaging strategy enabled absolute quantification of tissue pH in one imaging session. While this example is not specific to atherosclerosis and cardiovascular disease, one could envision that similar strategies might allow the development of bimodal PET/MR imaging probes that would fully exploit the synergy of these two imaging modalities for a better characterization of pathophysiological processes in the vessel wall and hematopoietic organs.
Concluding remarks
In this review we have provided an overview of the main applications of pre-clinical PET/MRI in small and large animal models of cardiovascular disease. In the pre-clinical arena, combined PET/MRI offers distinct advantages over PET/CT for in depth phenotyping of atherosclerotic plaques, the heart and brain after ischemia and as a tool to facilitate the development of novel anti-atherosclerosis compounds. Furthermore, whole-body imaging with PET/MRI allows investigating atherosclerosis beyond the vasculature, heart and brain, to include the assessment of hematopoietic organs, implicated in the immune response which lies at the basis of atherogenesis. Despite remaining challenges, we foresee that in the near future the pre-clinical applications of PET/MRI may greatly expand. The combination of in vivo, non-invasive, multi-parametric, whole-body PET/MRI together with sophisticated ex vivo immunological assays possible in animal models may prove an invaluable tool to gain further insights into the pathophysiology of atherosclerosis, and will allow to fully exploit the synergistic value of these two complementary imaging modalities.
Highlights.
Pre-clinical PET/MRI has the potential to aid mechanistic studies to gain new insights on the role of inflammation in cardiovascular disease
Areas where this technology has been applied successfully are: i) vascular imaging, for advanced atherosclerotic plaque phenotyping and evaluation of novel imaging tracers or therapeutic interventions; ii) assessment of the ischemic heart and brain; and iii) whole-body imaging of the hematopoietic system
Further technical developments, such as optimization of MR-based attenuation maps, or of motion correction strategies, might increase the impact of cardiovascular PET/MRI in the pre-clinical and clinical arenas
Sources of Funding.
This work was supported by American Heart Association 16SDG27250090 (to C.C) and 16SDG31390007 (to C.P.-M.); the National Institutes of Health grants R01 HL125703 and R01 HL118440 (to W.J.M.M.) and R01 HL071021, R01 HL135878, R01 HL143814 (to Z.A.F.).
Footnotes
Disclosure. None
Bibliography
- 1.Calcagno C, Mulder WJ, Nahrendorf M, Fayad ZA. Systems biology and noninvasive imaging of atherosclerosis. Arterioscler Thromb Vasc Biol. 2016;36:e1–8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Vandoorne K, Nahrendorf M. Multiparametric imaging of organ system interfaces. Circ Cardiovasc Imaging. 2017;10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Robson PM, Dey D, Newby DE, Berman D, Li D, Fayad ZA, Dweck MR. Mr/pet imaging of the cardiovascular system. JACC Cardiovasc Imaging. 2017;10:1165–1179 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Joseph P, Tawakol A. Imaging atherosclerosis with positron emission tomography. Eur Heart J. 2016;37:2974–2980 [DOI] [PubMed] [Google Scholar]
- 5.Tawakol A, Migrino RQ, Bashian GG, Bedri S, Vermylen D, Cury RC, Yates D, LaMuraglia GM, Furie K, Houser S, Gewirtz H, Muller JE, Brady TJ, Fischman AJ. In vivo 18f-fluorodeoxyglucose positron emission tomography imaging provides a noninvasive measure of carotid plaque inflammation in patients. J Am Coll Cardiol. 2006;48:1818–1824 [DOI] [PubMed] [Google Scholar]
- 6.Vucic E, Dickson SD, Calcagno C, Rudd JH, Moshier E, Hayashi K, Mounessa JS, Roytman M, Moon MJ, Lin J, Tsimikas S, Fisher EA, Nicolay K, Fuster V, Fayad ZA. Pioglitazone modulates vascular inflammation in atherosclerotic rabbits noninvasive assessment with fdg-pet-ct and dynamic contrast-enhanced mr imaging. JACC Cardiovasc Imaging. 2011;4:1100–1109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Vucic E, Calcagno C, Dickson SD, Rudd JH, Hayashi K, Bucerius J, Moshier E, Mounessa JS, Roytman M, Moon MJ, Lin J, Ramachandran S, Tanimoto T, Brown K, Kotsuma M, Tsimikas S, Fisher EA, Nicolay K, Fuster V, Fayad ZA. Regression of inflammation in atherosclerosis by the lxr agonist r211945: A noninvasive assessment and comparison with atorvastatin. JACC Cardiovasc Imaging. 2012;5:819–828 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Beitzke D, Rasul S, Lassen ML, Pichler V, Senn D, Stelzmuller ME, Nolz R, Loewe C, Hacker M. Assessment of myocardial viability in ischemic heart disease by pet/mri: Comparison of left ventricular perfusion, hibernation, and scar burden. Acad Radiol. 2019 [DOI] [PubMed] [Google Scholar]
- 9.Kunze KP, Dirschinger RJ, Kossmann H, Hanus F, Ibrahim T, Laugwitz KL, Schwaiger M, Rischpler C, Nekolla SG. Quantitative cardiovascular magnetic resonance: Extracellular volume, native t1 and 18f-fdg pet/cmr imaging in patients after revascularized myocardial infarction and association with markers of myocardial damage and systemic inflammation. J Cardiovasc Magn Reson. 2018;20:33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Dutta P, Courties G, Wei Y, Leuschner F, Gorbatov R, Robbins CS, Iwamoto Y, Thompson B, Carlson AL, Heidt T, Majmudar MD, Lasitschka F, Etzrodt M, Waterman P, Waring MT, Chicoine AT, van der Laan AM, Niessen HW, Piek JJ, Rubin BB, Butany J, Stone JR, Katus HA, Murphy SA, Morrow DA, Sabatine MS, Vinegoni C, Moskowitz MA, Pittet MJ, Libby P, Lin CP, Swirski FK, Weissleder R, Nahrendorf M. Myocardial infarction accelerates atherosclerosis. Nature. 2012;487:325–329 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Emami H, Singh P, MacNabb M, Vucic E, Lavender Z, Rudd JH, Fayad ZA, Lehrer-Graiwer J, Korsgren M, Figueroa AL, Fredrickson J, Rubin B, Hoffmann U, Truong QA, Min JK, Baruch A, Nasir K, Nahrendorf M, Tawakol A. Splenic metabolic activity predicts risk of future cardiovascular events: Demonstration of a cardiosplenic axis in humans. JACC Cardiovasc Imaging. 2015;8:121–130 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Joshi NV, Toor I, Shah AS, Carruthers K, Vesey AT, Alam SR, Sills A, Hoo TY, Melville AJ, Langlands SP, Jenkins WS, Uren NG, Mills NL, Fletcher AM, van Beek EJ, Rudd JH, Fox KA, Dweck MR, Newby DE. Systemic atherosclerotic inflammation following acute myocardial infarction: Myocardial infarction begets myocardial infarction. J Am Heart Assoc. 2015;4:e001956. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Pirro M, Simental-Mendia LE, Bianconi V, Watts GF, Banach M, Sahebkar A. Effect of statin therapy on arterial wall inflammation based on 18f-fdg pet/ct: A systematic review and meta-analysis of interventional studies. J Clin Med. 2019;8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Tarkin JM, Joshi FR, Rudd JH. Pet imaging of inflammation in atherosclerosis. Nat Rev Cardiol. 2014;11:443–457 [DOI] [PubMed] [Google Scholar]
- 15.Kerwin WS, Miller Z, Yuan C. Imaging of the high-risk carotid plaque: Magnetic resonance imaging. Semin Vasc Surg. 2017;30:54–61 [DOI] [PubMed] [Google Scholar]
- 16.Coolen BF, Calcagno C, van Ooij P, Fayad ZA, Strijkers GJ, Nederveen AJ. Vessel wall characterization using quantitative mri: What’s in a number? MAGMA. 2018;31:201–222 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Phinikaridou A, Andia ME, Lacerda S, Lorrio S, Makowski MR, Botnar RM. Molecular mri of atherosclerosis. Molecules. 2013;18:14042–14069 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wang J, Yarnykh VL, Yuan C. Enhanced image quality in black-blood mri using the improved motion-sensitized driven-equilibrium (imsde) sequence. J Magn Reson Imaging. 2010;31:1256–1263 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mihai G, Winner MW, Raman SV, Rajagopalan S, Simonetti OP, Chung YC. Assessment of carotid stenosis using three-dimensional t2-weighted dark blood imaging: Initial experience. J Magn Reson Imaging. 2012;35:449–455 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Balu N, Zhou Z, Hippe DS, Hatsukami T, Mossa-Basha M, Yuan C. Accelerated multi-contrast high isotropic resolution 3d intracranial vessel wall mri using a tailored k-space undersampling and partially parallel reconstruction strategy. MAGMA. 2019;32:343–357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.LaForest R, Woodard PK, Gropler RJ. Cardiovascular pet/mri: Challenges and opportunities. Cardiol Clin. 2016;34:25–35 [DOI] [PubMed] [Google Scholar]
- 22.Bigalke B, Phinikaridou A, Andia ME, Cooper MS, Schuster A, Wurster T, Onthank D, Munch G, Blower P, Gawaz M, Nagel E, Botnar RM. Pet/ct and mr imaging biomarker of lipid-rich plaques using [64cu]-labeled scavenger receptor (cd68-fc). Int J Cardiol. 2014;177:287–291 [DOI] [PubMed] [Google Scholar]
- 23.Li X, Bauer W, Israel I, Kreissl MC, Weirather J, Richter D, Bauer E, Herold V, Jakob P, Buck A, Frantz S, Samnick S. Targeting p-selectin by gallium-68-labeled fucoidan positron emission tomography for noninvasive characterization of vulnerable plaques: Correlation with in vivo 17.6t mri. Arterioscler Thromb Vasc Biol. 2014;34:1661–1667 [DOI] [PubMed] [Google Scholar]
- 24.Jarrett BR, Correa C, Ma KL, Louie AY. In vivo mapping of vascular inflammation using multimodal imaging. PLoS One. 2010;5:e13254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Pellico J, Llop J, Fernandez-Barahona I, Bhavesh R, Ruiz-Cabello J, Herranz F. Iron oxide nanoradiomaterials: Combining nanoscale properties with radioisotopes for enhanced molecular imaging. Contrast Media Mol Imaging. 2017;2017:1549580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Lobatto ME, Calcagno C, Metselaar JM, Storm G, Stroes ES, Fayad ZA, Mulder WJ. Imaging the efficacy of anti-inflammatory liposomes in a rabbit model of atherosclerosis by non-invasive imaging. Methods Enzymol. 2012;508:211–228 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Millon A, Dickson SD, Klink A, Izquierdo-Garcia D, Bini J, Lancelot E, Ballet S, Robert P, Mateo de Castro J, Corot C, Fayad ZA. Monitoring plaque inflammation in atherosclerotic rabbits with an iron oxide (p904) and (18)f-fdg using a combined pet/mr scanner. Atherosclerosis. 2013;228:339–345 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Calcagno C, Lairez O, Hawkins J, Kerr SW, Dugas MS, Simpson T, Epskamp J, Robson PM, Eldib M, Bander I, P KR, Ramachandran S, Pruzan A, Kaufman A, Mani V, Ehlgen A, Niessen HG, Broadwater J, Fayad ZA. Combined pet/dce-mri in a rabbit model of atherosclerosis: Integrated quantification of plaque inflammation, permeability, and burden during treatment with a leukotriene a4 hydrolase inhibitor. JACC Cardiovasc Imaging. 2018;11:291–301 [DOI] [PubMed] [Google Scholar]
- 29.Senders ML, Hernot S, Carlucci G, van de Voort JC, Fay F, Calcagno C, Tang J, Alaarg A, Zhao Y, Ishino S, Palmisano A, Boeykens G, Meerwaldt AE, Sanchez-Gaytan BL, Baxter S, Zendman L, Lobatto ME, Karakatsanis NA, Robson PM, Broisat A, Raes G, Lewis JS, Tsimikas S, Reiner T, Fayad ZA, Devoogdt N, Mulder WJM, Perez-Medina C. Nanobody-facilitated multiparametric pet/mri phenotyping of atherosclerosis. JACC Cardiovasc Imaging. 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Keliher EJ, Ye YX, Wojtkiewicz GR, Aguirre AD, Tricot B, Senders ML, Groenen H, Fay F, Perez-Medina C, Calcagno C, Carlucci G, Reiner T, Sun Y, Courties G, Iwamoto Y, Kim HY, Wang C, Chen JW, Swirski FK, Wey HY, Hooker J, Fayad ZA, Mulder WJ, Weissleder R, Nahrendorf M. Polyglucose nanoparticles with renal elimination and macrophage avidity facilitate pet imaging in ischaemic heart disease. Nat Commun. 2017;8:14064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Nie X, Laforest R, Elvington A, Randolph GJ, Zheng J, Voller T, Abendschein DR, Lapi SE, Woodard PK. Pet/mri of hypoxic atherosclerosis using 64cu-atsm in a rabbit model. J Nucl Med. 2016;57:2006–2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Senders ML, Que X, Cho YS, Yeang C, Groenen H, Fay F, Calcagno C, Meerwaldt AE, Green S, Miu P, Lobatto ME, Reiner T, Fayad ZA, Witztum JL, Mulder WJM, Perez-Medina C, Tsimikas S. Pet/mr imaging of malondialdehyde-acetaldehyde epitopes with a human antibody detects clinically relevant atherothrombosis. J Am Coll Cardiol. 2018;71:321–335 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Beldman TJ, Senders ML, Alaarg A, Perez-Medina C, Tang J, Zhao Y, Fay F, Deichmoller J, Born B, Desclos E, van der Wel NN, Hoebe RA, Kohen F, Kartvelishvily E, Neeman M, Reiner T, Calcagno C, Fayad ZA, de Winther MPJ, Lutgens E, Mulder WJM, Kluza E. Hyaluronan nanoparticles selectively target plaque-associated macrophages and improve plaque stability in atherosclerosis. ACS Nano. 2017;11:5785–5799 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ludvigsen TP, Pedersen SF, Vegge A, Ripa RS, Johannesen HH, Hansen AE, Lofgren J, Schumacher-Petersen C, Kirk RK, Pedersen HD, Christoffersen BO, Orbaek M, Forman JL, Klausen TL, Olsen LH, Kjaer A. (18)f-fdg pet/mr-imaging in a gottingen minipig model of atherosclerosis: Correlations with histology and quantitative gene expression. Atherosclerosis. 2019;285:55–63 [DOI] [PubMed] [Google Scholar]
- 35.Lee WW, Marinelli B, van der Laan AM, Sena BF, Gorbatov R, Leuschner F, Dutta P, Iwamoto Y, Ueno T, Begieneman MP, Niessen HW, Piek JJ, Vinegoni C, Pittet MJ, Swirski FK, Tawakol A, Di Carli M, Weissleder R, Nahrendorf M. Pet/mri of inflammation in myocardial infarction. J Am Coll Cardiol. 2012;59:153–163 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Vandoorne K, Rohde D, Kim HY, Courties G, Wojtkiewicz G, Honold L, Hoyer FF, Frodermann V, Nayar R, Herisson F, Jung Y, Desogere PA, Vinegoni C, Caravan P, Weissleder R, Sosnovik DE, Lin CP, Swirski FK, Nahrendorf M. Imaging the vascular bone marrow niche during inflammatory stress. Circ Res. 2018;123:415–427 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Buscher K, Judenhofer MS, Kuhlmann MT, Hermann S, Wehrl HF, Schafers KP, Schafers M, Pichler BJ, Stegger L. Isochronous assessment of cardiac metabolism and function in mice using hybrid pet/mri. J Nucl Med. 2010;51:1277–1284 [DOI] [PubMed] [Google Scholar]
- 38.Werner P, Saur D, Mildner T, Moller H, Classen J, Sabri O, Hoffmann KT, Barthel H. Combined pet/mri: Multimodality insights into acute stroke hemodynamics. Neurology. 2016;86:1926–1927 [DOI] [PubMed] [Google Scholar]
- 39.Ouyang Y, Judenhofer MS, Walton JH, Marik J, Williams SP, Cherry SR. Simultaneous pet/mri imaging during mouse cerebral hypoxia-ischemia. J Vis Exp. 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Werner P, Saur D, Zeisig V, Ettrich B, Patt M, Sattler B, Jochimsen T, Lobsien D, Meyer PM, Bergh FT, Dreyer A, Boltze J, Classen J, Fritzsch D, Hoffmann KT, Sabri O, Barthel H. Simultaneous pet/mri in stroke: A case series. J Cereb Blood Flow Metab. 2015;35:1421–1425 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kim Y, Lobatto ME, Kawahara T, Lee Chung B, Mieszawska AJ, Sanchez-Gaytan BL, Fay F, Senders ML, Calcagno C, Becraft J, Tun Saung M, Gordon RE, Stroes ES, Ma M, Farokhzad OC, Fayad ZA, Mulder WJ, Langer R. Probing nanoparticle translocation across the permeable endothelium in experimental atherosclerosis. Proc Natl Acad Sci U S A. 2014;111:1078–1083 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Lobatto ME, Calcagno C, Millon A, Senders ML, Fay F, Robson PM, Ramachandran S, Binderup T, Paridaans MP, Sensarn S, Rogalla S, Gordon RE, Cardoso L, Storm G, Metselaar JM, Contag CH, Stroes ES, Fayad ZA, Mulder WJ. Atherosclerotic plaque targeting mechanism of long-circulating nanoparticles established by multimodal imaging. ACS Nano. 2015;9:1837–1847 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Lobatto ME, Calcagno C, Otten MJ, Millon A, Ramachandran S, Paridaans MP, van der Valk FM, Storm G, Stroes ES, Fayad ZA, Mulder WJ, Metselaar JM. Pharmaceutical development and preclinical evaluation of a gmp-grade anti-inflammatory nanotherapy. Nanomedicine. 2015;11:1133–1140 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.van der Valk FM, van Wijk DF, Lobatto ME, Verberne HJ, Storm G, Willems MC, Legemate DA, Nederveen AJ, Calcagno C, Mani V, Ramachandran S, Paridaans MP, Otten MJ, Dallinga-Thie GM, Fayad ZA, Nieuwdorp M, Schulte DM, Metselaar JM, Mulder WJ, Stroes ES. Prednisolone-containing liposomes accumulate in human atherosclerotic macrophages upon intravenous administration. Nanomedicine. 2015;11:1039–1046 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Lobatto ME, Binderup T, Robson PM, Giesen LFP, Calcagno C, Witjes J, Fay F, Baxter S, Wessel CH, Eldib M, Bini J, Carlin SD, Stroes ESG, Storm G, Kjaer A, Lewis JS, Reiner T, Fayad ZA, Mulder WJM, Perez-Medina C. Multimodal positron emission tomography imaging to quantify uptake of 89zr-labeled liposomes in the atherosclerotic vessel wall. Bioconjug Chem. 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Perez-Medina C, Binderup T, Lobatto ME, Tang J, Calcagno C, Giesen L, Wessel CH, Witjes J, Ishino S, Baxter S, Zhao Y, Ramachandran S, Eldib M, Sanchez-Gaytan BL, Robson PM, Bini J, Granada JF, Fish KM, Stroes ES, Duivenvoorden R, Tsimikas S, Lewis JS, Reiner T, Fuster V, Kjaer A, Fisher EA, Fayad ZA, Mulder WJ. In vivo pet imaging of hdl in multiple atherosclerosis models. JACC Cardiovasc Imaging. 2016;9:950–961 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Duivenvoorden R, Tang J, Cormode DP, Mieszawska AJ, Izquierdo-Garcia D, Ozcan C, Otten MJ, Zaidi N, Lobatto ME, van Rijs SM, Priem B, Kuan EL, Martel C, Hewing B, Sager H, Nahrendorf M, Randolph GJ, Stroes ES, Fuster V, Fisher EA, Fayad ZA, Mulder WJ. A statin-loaded reconstituted high-density lipoprotein nanoparticle inhibits atherosclerotic plaque inflammation. Nat Commun. 2014;5:3065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Tang J, Lobatto ME, Hassing L, van der Staay S, van Rijs SM, Calcagno C, Braza MS, Baxter S, Fay F, Sanchez-Gaytan BL, Duivenvoorden R, Sager H, Astudillo YM, Leong W, Ramachandran S, Storm G, Perez-Medina C, Reiner T, Cormode DP, Strijkers GJ, Stroes ES, Swirski FK, Nahrendorf M, Fisher EA, Fayad ZA, Mulder WJ. Inhibiting macrophage proliferation suppresses atherosclerotic plaque inflammation. Sci Adv. 2015;1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Binderup T, Duivenvoorden R, Fay F, van Leent MMT, Malkus J, Baxter S, Ishino S, Zhao Y, Sanchez-Gaytan B, Teunissen AJP, Frederico YCA, Tang J, Carlucci G, Lyashchenko S, Calcagno C, Karakatsanis N, Soultanidis G, Senders ML, Robson PM, Mani V, Ramachandran S, Lobatto ME, Hutten BA, Granada JF, Reiner T, Swirski FK, Nahrendorf M, Kjaer A, Fisher EA, Fayad ZA, Perez-Medina C, Mulder WJM. Imaging-assisted nanoimmunotherapy for atherosclerosis in multiple species. Sci Transl Med. 2019;11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Lameijer M, Binderup T, van Leent MMT, Senders ML, Fay F, Malkus J, Sanchez-Gaytan BL, Teunissen AJP, Karakatsanis N, Robson P, Zhou X, Ye Y, Wojtkiewicz G, Tang J, Seijkens TTP, Kroon J, Stroes ESG, Kjaer A, Ochando J, Reiner T, Perez-Medina C, Calcagno C, Fisher EA, Zhang B, Temel RE, Swirski FK, Nahrendorf M, Fayad ZA, Lutgens E, Mulder WJM, Duivenvoorden R. Efficacy and safety assessment of a traf6-targeted nanoimmunotherapy in atherosclerotic mice and non-human primates. Nat Biomed Eng. 2018;2:279–292 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Li X, Heber D, Rausch I, Beitzke D, Mayerhoefer ME, Rasul S, Kreissl M, Mitthauser M, Wadsak W, Hartenbach M, Haug A, Zhang X, Loewe C, Beyer T, Hacker M. Quantitative assessment of atherosclerotic plaques on (18)f-fdg pet/mri: Comparison with a pet/ct hybrid system. Eur J Nucl Med Mol Imaging. 2016;43:1503–1512 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Ladefoged CN, Hansen AE, Keller SH, Holm S, Law I, Beyer T, Hojgaard L, Kjaer A, Andersen FL. Impact of incorrect tissue classification in dixon-based mr-ac: Fat-water tissue inversion. EJNMMI Phys. 2014;1:101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Bini J, Izquierdo-Garcia D, Mateo J, Machac J, Narula J, Fuster V, Fayad ZA. Preclinical evaluation of mr attenuation correction versus ct attenuation correction on a sequential whole-body mr/pet scanner. Invest Radiol. 2013;48:313–322 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Bini J, Eldib M, Robson PM, Calcagno C, Fayad ZA. Simultaneous carotid pet/mr: Feasibility and improvement of magnetic resonance-based attenuation correction. Int J Cardiovasc Imaging. 2016;32:61–71 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Chen Y, An H. Attenuation correction of pet/mr imaging. Magn Reson Imaging Clin N Am. 2017;25:245–255 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Bini J, Eldib M, Robson PM, Fayad ZA. Wavelet-based partial volume effect correction for simultaneous mr/pet of the carotid arteries. EJNMMI Phys. 2014;1:A71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Cal-Gonzalez J, Li X, Heber D, Rausch I, Moore SC, Schafers K, Hacker M, Beyer T. Partial volume correction for improved pet quantification in (18)f-naf imaging of atherosclerotic plaques. J Nucl Cardiol. 2018;25:1742–1756 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Deidda D, Karakatsanis NA, Robson PM, Calcagno C, Senders ML, Mulder WJM, Fayad ZA, Aykroyd RG, Tsoumpas C. Hybrid pet/mr kernelised expectation maximisation reconstruction for improved image-derived estimation of the input function from the aorta of rabbits. Contrast Media Mol Imaging. 2019;2019:3438093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Evans E, Buonincontri G, Izquierdo D, Methner C, Hawkes RC, Ansorge RE, Kreig T, Carpenter TA, Sawiak SJ. Combining mri with pet for partial volume correction improves image-derived input functions in mice. EJNMMI Phys. 2014;1:A84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Robson PM, Dweck MR, Trivieri MG, Abgral R, Karakatsanis NA, Contreras J, Gidwani U, Narula JP, Fuster V, Kovacic JC, Fayad ZA. Coronary artery pet/mr imaging: Feasibility, limitations, and solutions. JACC Cardiovasc Imaging. 2017;10:1103–1112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Robson PM, Trivieri M, Karakatsanis NA, Padilla M, Abgral R, Dweck MR, Kovacic JC, Fayad ZA. Correction of respiratory and cardiac motion in cardiac pet/mr using mr-based motion modeling. Phys Med Biol. 2018;63:225011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Ouyang J, Li Q, El Fakhri G. Magnetic resonance-based motion correction for positron emission tomography imaging. Semin Nucl Med. 2013;43:60–67 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Frullano L, Catana C, Benner T, Sherry AD, Caravan P. Bimodal mr-pet agent for quantitative ph imaging. Angew Chem Int Ed Engl. 2010;49:2382–2384 [DOI] [PMC free article] [PubMed] [Google Scholar]