Advances in Quantitative Analysis of <sup>18</sup>F-Sodium Fluoride Coronary Imaging

Kwiecinski, Jacek; Lassen, Martin Lyngby; Slomka, Piotr J.

doi:https://doi.org/10.1155/2021/8849429

Molecular Imaging

On this page

Abstract Introduction Conclusions Disclosure Conflicts of Interest Acknowledgments References Copyright Related Articles

Review Article | Open Access

Volume 2021 | Article ID 8849429 | https://doi.org/10.1155/2021/8849429

Advances in Quantitative Analysis of ¹⁸F-Sodium Fluoride Coronary Imaging

Jacek Kwiecinski,^1,2Martin Lyngby Lassen,¹and Piotr J. Slomka¹

Academic Editor: Ali Azhdarinia

Received19 Sept 2020

Accepted05 Dec 2020

Published15 Jan 2021

Abstract

¹⁸F-sodium fluoride (¹⁸F-NaF) positron emission tomography (PET) has emerged as a promising noninvasive imaging tool for the assessment of active calcification processes in coronary artery disease. ¹⁸F-NaF uptake colocalizes to high-risk and ruptured atherosclerotic plaques. Most recently, ¹⁸F-NaF coronary uptake was shown to be a robust and independent predictor of myocardial infarction in patients with advanced coronary artery disease. In this review, we provide an overview of the advances in coronary ¹⁸F-NaF imaging. In particular, we discuss the recently developed and validated motion correction techniques which address heart contractions, tidal breathing, and patient repositioning during the prolonged PET acquisitions. Additionally, we discuss a novel quantification approach—the coronary microcalcification activity (which has been inspired by the widely employed method in oncology total active tumor volume measurement). This new method provides a single number encompassing ¹⁸F-NaF activity within the entire coronary vasculature rather than just information regarding a single area of most intense tracer uptake.

1. Introduction

(¹⁸F-NaF) is an established positron emission tomography (PET) bone tracer that binds to hydroxyapatite, a crystalline structure that is a key component of bones which also is present in atherosclerotic plaques [1, 2]. Aside from being a hallmark of the disease, vascular calcifications can be quantified and used to characterize the extent of the disease burden [3, 4]. In addition to standardizing the assessments, the quantification of the extent and volume of calcified atherosclerotic plaques conveys prognostic information and is routinely employed for risk stratification [5–7]. While vascular macrocalcifications as identified on computed tomography (CT) imaging represent an end-stage stable condition of coronary plaque progression and maturation, the active calcification process (microcalcification) is associated with atherosclerotic plaque progression that might turn into either vulnerable plaques (unstable disease) [8, 9] or macrocalcifications which can be visualized on noninvasive computed tomography imaging [10–13].

2. Initial ¹⁸F-NaF Cardiovascular Imaging

¹⁸F-sodium fluoride has been used in oncological assessments of bone cancer and metastases for nearly 5 decades [1, 14]. Over a decade ago, retrospective studies in patients evaluated for oncological purposes utilizing ¹⁸F-NaF PET found that many patients also had ¹⁸F-NaF uptake in the cardiovascular system [15–18]. Derlin et al. observed ¹⁸F-NaF uptake within the aorta in patients with and without visual identifiable calcification in the aortic wall on CT images. Analogous findings were subsequently reported by other groups [16–18]. These initial studies sparked interest in ¹⁸F-NaF cardiovascular imaging as it was hypothesized that ¹⁸F-NaF uptake might be an early marker of atherosclerosis preceding macrocalcifications. Dweck et al. showed that while there is a strong correlation between ¹⁸F-NaF uptake and the coronary calcium score (a direct measure of the coronary artery disease burden), over 40% of patients with exceptionally high coronary calcium scores (>1000) show no PET tracer uptake [19]. The study suggested that ¹⁸F-NaF coronary uptake provides complementary information compared to measures of coronary macrocalcification as it correlates with prior major adverse cardiovascular events, patient symptoms, and risk scores. The same group went on to show that ¹⁸F-NaF PET/CT is the first noninvasive imaging method to identify and localize ruptured and high-risk coronary plaques (Figure 1) [20]. On histological examinations, ¹⁸F-NaF activity has been observed in regions of plaque rupture with evidence of increased inflammation, calcification activity, necrosis, and cell death. These promising findings lead to the commencement of large observational studies aimed at exploring the prognostic implications of ¹⁸F-NaF coronary PET imaging and interventional studies assessing the potential of this imaging modality for guiding treatment (Prediction of Recurrent Events With ¹⁸F-Fluoride (PREFFIR) NCT02278211, Dual Antiplatelet Therapy to Reduce Myocardial Injury (DIAMOND) NCT02110303, and Effect of Evolocumab on Coronary Artery Plaque Volume and Composition by CCTA and Microcalcification by ¹⁸F-NaF PET (EVOLVE) NCT03689946 [21–23]).

(a)

(b)

(c)

(d)

(e)

(f)

Figure 1

Focal ¹⁸F-NaF in patients with myocardial infarction and stable angina. A patient with acute ST-segment elevation myocardial infarction with (a) proximal occlusion (red arrow) of the left anterior descending artery on invasive coronary angiography and (b) intense focal ¹⁸F-NaF (tissue-to-background ratios, culprit 2.27 vs. reference segment 1.09 (108% increase)) uptake (yellow-red) at the site of the culprit plaque (red arrow) on the combined PET and CT. A patient with anterior non-ST-segment elevation MI with (c) culprit (red arrow; left anterior descending artery) and bystander nonculprit (white arrow; circumflex artery) lesions on invasive coronary angiography that were both stented during the index admission. Only the culprit lesion had increased ¹⁸F-NaF uptake (tissue-to-background ratios, culprit 2.03 vs. reference segment 1.08 (88% increase)) on PET-CT (d) after percutaneous coronary intervention. In a patient with stable angina with previous coronary artery bypass grafting, (e) invasive coronary angiography showed nonobstructive disease in the right coronary artery. (f) Corresponding PET-CT scan showed a region of increased ¹⁸F-NaF activity (positive lesion, red line) in the midright coronary artery (tissue-to-background ratio, 3.13) and a region without increased uptake in the proximal vessel (negative lesion, yellow line). This figure was originally published in the Lancet under the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) (data from Joshi et al. [20]).

3. Current Methods of Measuring ¹⁸F-NaF Uptake and Their Limitations

Two different quantification techniques of coronary ¹⁸F-NaF uptake have been proposed, one evaluating the whole-heart uptake (global coronary method) and another focusing on the uptake within the coronary arteries (coronary-specific method). The global coronary method employs a whole-heart segmentation, with manual delineation of the cardiac silhouette on consecutive axial slices of fused PET/CT images [24]. This method of coronary analysis was first described by Beheshti et al. in a retrospective study of oncological patients [25]. The global ¹⁸F-NaF activity can be calculated using a volume-corrected summation of the mean standardized uptake value (SUVmean) of each of the regions of interest drawn on consecutive images. A different approach evaluating the uptake in individual coronary plaques (coronary-specific method) was proposed by Dweck et al. and later refined by Joshi et al. [19, 20]. This technique relies on the identification of coronary lesions with focal ¹⁸F-NaF uptake, employing coronary CT angiography to visually identify atherosclerotic plaques. Regardless of the method utilized for ¹⁸F-NaF assessment, the detected radiotracer activity in an atherosclerotic plaque is affected by the blood pool activity [2, 26]. To offset this phenomenon rather than reporting crude maximum standardized uptake values (SUVmax), researchers have adjusted for blood pool ¹⁸F-NaF activity, providing a maximum target-to-background (TBRmax) output (TBRmax = maximum SUV of the lesion/mean SUV obtained in the background blood pool). The calculation of the TBRmax, however, is affected by the changes in the background blood pool activity which has been shown to change over a 2-hour period ranging from 1-hour postinjection to 3-hour postinjection while coronary lesion uptake remains consistent [27]. To correct for variations in injection-to-scan delays, Lassen et al. have proposed to use a background blood pool correction factor that improves test-retest reproducibility measures of TBR in patient cohorts where small variations in injection-to-scan delays are possible [28].

Both the global and coronary-specific approaches have their limitations. While the global coronary method is attractive due to its simplicity, the specificity of the method is limited. This is largely due to the small coronary lesion size (which results in low plaque activity) and the fact that it is prone to false-positive findings due to myocardial, valvular, or pericardial uptake as well as background noise [29]. The global cardiac uptake method relies on the assumption that any cardiac ¹⁸F-NaF activity detected as higher than the blood pool originates from the coronary vasculature. However, there is a growing body of evidence that cardiac valves and great vessels bind ¹⁸F-NaF and, thus, have an impact on the accuracy of the quantitative assessments when using the global heart assessment technique [30–35]. Additionally, increased myocardial uptake of ¹⁸F-NaF is often observed in the infarcted myocardium, myocardial scar tissue, and cardiac amyloidosis [36–38]. All of these may falsely elevate the global ¹⁸F-NaF reading leading to overestimation of coronary ¹⁸F-NaF activity [24]. The plaque-specific approach is not prone to these caveats; however, it has limitations relating to the labor-intensive subjective assessments. The plaque-specific technique requires manual delineations of the lesions, where the reader must read the coronary tree to identify potential lesions. Here, partial volume effects and discordance between PET uptake and coronary CT angiography increase the time spent on the analyses and introduce some degree of reader dependency although recent studies have shown high interreader agreement [39]. Additionally, according to Joshi et al., the difference in the ¹⁸F-NaF maximum TBR in culprit compared with nonculprit plaques is only 34% which is severalfold lower than PET tracer uptake reported in oncological settings [20]. Finally, by reporting only a single highest TBR value, the overall coronary activity cannot be fully appreciated; as a result in individuals with multiple foci of uptake in their coronary vasculature, this approach can be misleading.

For precise and reproducible ¹⁸F-NaF coronary uptake assessments, it is essential to take full advantage of state-of-the-art image reconstruction approaches [40]. As demonstrated previously, the number of iterations and the use of filtering, as well as applying point spread functions and employing time of flight information and resolution recovery techniques, all have a profound impact on the uptake values [41]. In a recent study, Doris et al. showed how heavily the signal-to-noise ratio and image quality depend on particular reconstruction settings [42]. According to their study, while more iterations and no postfiltering result in higher uptake values, such images are excessively noisy and difficult to interpret. It is therefore essential for multicenter studies to harmonize imaging protocols. Undoubtedly, standardization of reconstruction parameters shall be an important step in disseminating ¹⁸F-NaF PET as it will enable making direct comparisons between centers/vendors and facilitate establishing large registry datasets [43].

4. Impact of Motion during the Scans of ¹⁸F-NaF Cardiovascular Imaging

Imaging of the cardiovascular system is associated with significant motion during the often-lengthy imaging sessions—with acquisition times extending for up to 30 minutes [20, 34, 44]. The long acquisitions pose the risks of patient repositioning events in addition to cardiac contractions and respiration (cardiorespiratory motion) [45]. A study evaluating the frequency and the impact of patient repositioning revealed that repositioning events may account for motions of up to 16 mm during the scans [46], with consequential reductions in the quantitative measures (TBR). Previous studies have shown that cardiac contractions may account for translations in the right coronary artery of 26 mm [45], and the aortic valve may move by 12 mm [47]. Respiratory translations might account for translations of 20-40 mm [48], which combined with the cardiac contractions and patient repositioning events introduce a complex motion pattern [28]. Correcting for the three motion patterns simultaneously has been shown to improve the test-retest reproducibility in studies of coronary plaques, in addition to ensuring unanimous assessments of the coronary plaques in comparison to the often-used end-diastolic reconstruction protocols [28]. In addition, preliminary results for studies on aortic valve stenosis have revealed significant increases in the TBR assessments, as well as significant reductions in the noise in the images [49]. While significant improvements in the TBR and test-retest reproducibility measures have been reported when employing the complex triple motion correction techniques, cardiac motion correction alone improves the image quality and reduces the noise in the images significantly [28]. This has been shown in studies of coronary plaques either using the reconstructed PET images [50] or during the image reconstruction through registration of the emission data using elastic registrations [51] and in studies of the aortic valves [30].

5. Evolving Understanding of Coronary Artery Disease: Shifting from the Vulnerable Plaque to the Vulnerable Patient and the Role of ¹⁸F-NaF PET

Since coronary ¹⁸F-NaF imaging is being considered a potential noninvasive tool for imaging and identification of high-risk coronary artery disease, the uptake quantification method should ultimately be in line with our current understanding of the coronary atherosclerotic disease. While for decades physicians and researchers have pursued the quest to identify vulnerable atherosclerotic plaques, despite major advancements in imaging technology that allow visualization of rupture-prone plaques, this approach did not translate into an improved prediction of adverse events [52]. It has been demonstrated that the degree of coronary stenosis does not predict myocardial infarction in several multicenter trials. In the PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) trial, the vast majority (77%) of cardiovascular deaths and myocardial infarctions occurred in patients with <50% lumen stenosis at baseline [53]. Similarly, in the ICONIC (Incident Coronary Syndromes Identified by Computed Tomography) study, most acute coronary syndromes were found to arise from nonobstructive lesions [54]. Further evidence questioning the rationale for the per plaque approach came from the PROSPECT trial (A Prospective Natural-History Study of Coronary Atherosclerosis) which investigated whether the detection of thin-capped fibroatheroma by virtual histology intravascular ultrasound would predict adverse clinical events [55]. In this study, 595 thin-capped fibroatheromas (which were believed to be prone to rupture and hence responsible for acute myocardial infarction) were identified in 697 patients; however, after a median follow-up of 3.4 years, only 6 lesions ruptured, with consequential myocardial infarction. Given the aforementioned studies, the evaluation and management of patients with coronary heart disease are in transition [42]. A comprehensive approach to patients with coronary heart disease is replacing a lesion-focused strategy [56]. The reason for the poor performance of the measures of plaque morphology, stenosis grade, and risk scores based on clinical characteristics in the prediction of adverse events is likely due to the fact that these approaches neglect the importance of coronary artery disease activity [57]. It was recently argued that plaque progression (which is a robust marker of adverse prognosis) should be used for patient risk stratification [58, 59]. Importantly, as shown by Doris et al., rather than being confined to serial imaging in order to predict plaque progression, baseline coronary ¹⁸F-NaF uptake can be utilized [60].

6. Coronary Microcalcification Activity

In view of the shift from a per lesion to a more global per patient approach, it is immediately apparent that for ¹⁸F-NaF coronary imaging, reporting only maximum TBR values for a given patient can be suboptimal. To adjust ¹⁸F-NaF coronary uptake quantification to the new per patient (rather than per plaque) paradigm, we recently proposed a novel semiautomated approach for image analysis [61]. The coronary microcalcification activity (CMA) characterizes ¹⁸F-NaF uptake throughout the entire coronary vasculature using CT angiography-derived centerlines to build 3-dimensional tubular volumes of interest around each of the main epicardial coronary arteries. Extending from the coronary-specific method, the coronary microcalcification activity method permits the evaluation of coronary ¹⁸F-NaF activity on a per vessel and per patient basis, providing more global assessments of disease activity in the coronary arteries than the per lesion approach.

The coronary ¹⁸F-NaF uptake measure resembles the Agatston method for quantifying coronary CT calcium scores and is based on PET quantification techniques widely employed in oncology and cardiac sarcoidosis [62–64]. Tortuous 3D volumes of interest which encompass all the main epicardial coronary vessels and their immediate surroundings (4 mm radius) are automatically extracted from CT angiography datasets (Figure 2). Within such volumes of interest, the coronary microcalcification activity (CMA) representing the overall disease activity in the vessel and based upon both volume and intensity of ¹⁸F-NaF PET activity can be calculated as the integrated activity in SUV units exceeding the background blood pool standard deviations. As a result, in patients and vessels with multiple foci of uptake, CMA provides a measure of disease activity across the coronary vasculature.

Figure 2

3-dimensional rendering of coronary CT angiography with superimposed tubular whole-vessel volumes of interest (light green) employed for evaluation of ¹⁸F-sodium fluoride uptake (blue and red). Despite the relatively lower tissue-to-background ratio maximum (TBRmax) due to multiple foci of increased ¹⁸F-NaF activity, the coronary microcalcification activity (CMA) in the right coronary artery (RCA) is only moderately lower than that in the left anterior descending (LAD) coronary artery which presented with a very high TBRmax. Reprinted by permission from Springer Nature: EJNMMI (Kwiecinski et al. [61]).

7. CMA Is Associated with Established CT Angiography-Derived Markers of Plaque Vulnerability

Initial validation of the coronary microcalcification activity was carried out on a cohort of 50 individuals who underwent ¹⁸F-NaF PET within 3 weeks from an acute myocardial infarction. Previous studies suggested that ¹⁸F-NaF activity is associated with the presence and correlated with the volume of CT-derived markers of plaque vulnerability [65, 66]. Given these associations, low attenuation plaque (<30 Hounsfield units within a coronary lesion) was employed for validation of CMA [67, 68]. In the analysis, CMA outperformed the single-lesion (hotspot) TBRmax approach for the detection of low attenuation plaque [61]. Similarly, there was a stronger correlation between low attenuation plaque and CMA than between low attenuation plaque and conventional measurements of ¹⁸F-NaF activity with better categorical separation (Figure 3). Given that low attenuation plaque has repeatedly been shown to be associated with adverse outcomes, the discrepancy in the correlations and diagnostic accuracy between CMA and TBR/SUV supports the view that in characterizing disease severity, CMA is superior to traditional uptake measures [67, 68].

Figure 3

Case examples of coronary ¹⁸F-sodium fluoride uptake. Low attenuation plaque (LAP) on CT angiography and LAP (orange arrows) on 3D CT rendering. Right (Patient 1) and left anterior descending (Patient 2) coronary arteries. Areas of LAP correspond with areas of increased ¹⁸F-NaF activity. While maximum target-to-background ratio (TBRmax) reflects single hotspot activity, coronary microcalcification activity (CMA) values represent the whole-vessel ¹⁸F-sodium fluoride burden. Reprinted by permission from Springer Nature: EJNMMI (Kwiecinski et al. [61]).

8. CMA Is a Reproducible and Highly Repeatable ¹⁸F-NaF Uptake Measure

For an imaging biomarker to have clinical utility, it should demonstrate precise and reproducible analytical performance [69, 70]. Multiple studies have demonstrated how an approach that combines visual discrimination with quantitative TBR measurements enables reliable characterization of ¹⁸F-NaF localization at the level of the coronary plaque with high levels of agreement between observers and across serial scans [19, 28, 70]. As discussed above, reproducibility and repeatability of SUV-based uptake measurements benefit from motion correction techniques [28, 50]. We have recently evaluated the intra- and interobserver repeatability and interscan reproducibility of the coronary microcalcification activity [39]. By leveraging the imaging data of 20 patients who underwent ¹⁸F-NaF PET twice within 2 weeks, we were able to show that both the TBR and CMA assessments are repeatable and reproducible, albeit CMA has superior repeatability and reproducibility. Furthermore, in our study, there was no diagnostic discordance between observers and scans for CMA, something that is not always true for TBR. Indeed, for the presence of ¹⁸F-NaF activity () or absence of activity () in the coronary tree, there was 100% agreement in the categorization between observers and scans. This is clinically relevant especially in populations without known coronary artery disease if ¹⁸F-NaF is to be used as a screening tool where little or no activity is expected. In such a population, the fact that is perfectly reproducible between observers and scans is of extreme importance as it could reliably inform the physician regarding the coronary microcalcification activity in a given patient.

9. CMA Predicts Outcomes in Patients with Established Coronary Artery Disease

While the ability to identify culprit plaques in patients with acute myocardial infarction and lesions with adverse morphology is scientifically attractive until recently, we lacked a meaningful clinical application of ¹⁸F-NaF coronary PET.Given that in the group of patients with established CAD prediction of adverse events has proven challenging (with current approaches based around clinical risk scores, anatomic assessments of coronary artery calcification, and the severity of obstructive coronary stenoses), we evaluated whether ¹⁸F-NaF could predict myocardial infarction in this population [71]. In a post hoc analysis of data collected in observational cohort studies, we showed that ¹⁸F-NaF PET provides a powerful independent prediction of fatal or nonfatal myocardial infarction. In 293 study participants with a high atherosclerosis burden (65% individuals had multivessel obstructive coronary artery disease, the median CT calcium score was 334 [76-804], and 81% had a history of prior revascularization), we observed 20 myocardial infarctions during almost 4 years of follow-up. On receiver operating characteristic curve analysis, the coronary microcalcification activity showed a greater area under the curve for the prediction of myocardial infarction than coronary calcium scores and clinical risk scores. To generate distinct clinical risk groups, we dichotomized the population according to their coronary ¹⁸F-NaF uptake. A threshold of 1.56 for CMA (derived from the receiver operating characteristic curve by the Youden index) achieved a specificity and sensitivity of 66% and 80%, respectively, for the primary endpoint. Consequently, on univariable Cox proportional regression, emerged as a predictor of fatal or nonfatal myocardial infarction (hazard ratio: 7.30, 95% confidence interval 2.44-21.84; ). Importantly, these associations persisted on multivariable analysis after adjustments for sex, comorbidities, segment involvement score, number of coronary stents, multivessel coronary artery disease, coronary calcium score, and risk scores (adjusted hazard ratio of 7.1 (95% CI 2.2 to 25.1; ) for the primary endpoint; Figure 4).

Figure 4

¹⁸F-sodium fluoride positron emission tomography as a marker of disease activity in the coronary arteries is a predictor of fatal or nonfatal myocardial infarction (MI) in patients with established coronary artery disease. ¹⁸F-NaF PET can be used to measure disease activity across the coronary vasculature and to stratify patients into those with no, low, and high disease activity. Patients with high disease activity (coronary microcalcification activity ) demonstrate a >7-fold risk of myocardial infarction. These patients might therefore be suitable for advanced medical therapies including PCSK9 or interleukin 1-beta inhibition, with ¹⁸F-NaF PET used for targeting these expensive drugs to patients at greatest risk. Patients without coronary ¹⁸F-NaF uptake () have an excellent prognosis with no myocardial infarctions observed during follow-up despite advanced coronary artery disease. In these patients with dormant coronary artery disease (a third of the population studied), further intensification of medical therapy might not be warranted, nor might they benefit on prognostic grounds from complex revascularization such as multivessel percutaneous intervention or coronary artery bypass grafting. Reprinted from Kwiecinski et al. [71], with permission from Elsevier.

10. Conclusions and Future Directions

To date, coronary ¹⁸F-NaF PET has emerged as a robust tool for the assessment of active calcification processes. It has been shown to reliably identify culprit plaques, lesions with adverse morphology, and predict adverse events. Importantly the methods of image acquisition, image reconstruction, and analysis have been investigated and greatly improved over the past decade. In the near future, the outcome implications of ¹⁸F-NaF coronary PET will be further elucidated in the Prediction of Recurrent Events With ¹⁸F-Fluoride (PREFFIR) study which shall prospectively investigate the ability of ¹⁸F-NaF coronary PET to predict recurrent events in patients with multivessel disease and recent myocardial infarction. In regard to coronary artery disease, future studies should evaluate the potential role of ¹⁸F-NaF for risk stratification and guidance of therapeutic decisions in subjects with advanced atherosclerosis [23, 72]. Although to date ¹⁸F-NaF coronary PET research was predominantly focused on subjects with established disease, this imaging modality was also shown to identify active atherosclerotic disease across the entire spectrum of patients with subclinical, suspected, and established coronary artery disease. While in patients with advanced atherosclerosis ¹⁸F-NaF PET clearly outperforms clinical characteristics and scores in risk stratification, it remains to be studied whether it can add to the already-robust risk prediction in patients with the suspected disease [73]. Similar to coronary PET imaging, active calcification processes in valvular, great, and peripheral vessel disease would likely also benefit from advanced motion correction techniques and novel uptake measures. In the future, researchers should explore the potential of ¹⁸F-NaF PET imaging across multiple vascular beds and further improve approaches for data acquisition and analysis.

Disclosure

The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Conflicts of Interest

The authors declare that they have no relevant or material financial interests that relate to the research described in this paper.

Acknowledgments

This research was supported in part by grant R01HL135557 from the National Heart, Lung, and Blood Institute/National Institutes of Health (NHLBI/NIH).

References

M. Blau, R. Ganatra, and M. A. Bender, “¹⁸F-fluoride for bone imaging,” Seminars in Nuclear Medicine, vol. 2, no. 1, pp. 31–37, 1972.
View at: Publisher Site | Google Scholar
J. Czernin, N. Satyamurthy, and C. Schiepers, “Molecular mechanisms of bone 18F-NaF deposition,” Journal of Nuclear Medicine, vol. 51, no. 12, pp. 1826–1829, 2010.
View at: Publisher Site | Google Scholar
A. S. Agatston, W. R. Janowitz, F. J. Hildner, N. R. Zusmer, M. Viamonte Jr., and R. Detrano, “Quantification of coronary artery calcium using ultrafast computed tomography,” Journal of the American College of Cardiology, vol. 15, no. 4, pp. 827–832, 1990.
View at: Publisher Site | Google Scholar
P. Greenland, M. J. Blaha, M. J. Budoff, R. Erbel, and K. E. Watson, “Coronary calcium score and cardiovascular risk,” Journal of the American College of Cardiology, vol. 72, no. 4, pp. 434–447, 2018.
View at: Publisher Site | Google Scholar
M. J. Budoff, R. Young, G. Burke et al., “Ten-year association of coronary artery calcium with atherosclerotic cardiovascular disease (ASCVD) events: the Multi-Ethnic Study of Atherosclerosis (MESA),” European Heart Journal, vol. 39, no. 25, pp. 2401–2408, 2018.
View at: Publisher Site | Google Scholar
R. Erbel, S. Möhlenkamp, S. Moebus et al., “Coronary risk stratification, discrimination, and reclassification improvement based on quantification of subclinical coronary atherosclerosis: the Heinz Nixdorf Recall Study,” Journal of the American College of Cardiology, vol. 56, no. 17, pp. 1397–1406, 2010.
View at: Publisher Site | Google Scholar
R. L. McClelland, N. W. Jorgensen, M. Budoff et al., “10-year coronary heart disease risk prediction using coronary artery calcium and traditional risk factors: derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) with validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Study),” Journal of the American College of Cardiology, vol. 66, no. 15, pp. 1643–1653, 2015.
View at: Publisher Site | Google Scholar
A. Irkle, A. T. Vesey, D. Y. Lewis et al., “Identifying active vascular microcalcification by ¹⁸F-sodium fluoride positron emission tomography,” Nature Communications, vol. 6, no. 1, p. 7495, 2015.
View at: Publisher Site | Google Scholar
M. D. Creager, T. Hohl, J. D. Hutcheson et al., “18F-fluoride signal amplification identifies microcalcifications associated with atherosclerotic plaque instability in positron emission tomography/ computed tomography images,” Circulation. Cardiovascular Imaging, vol. 12, no. 1, p. e007835, 2019.
View at: Publisher Site | Google Scholar
E. Aikawa, M. Nahrendorf, J. L. Figueiredo et al., “Osteogenesis associates with inflammation in early-stage atherosclerosis evaluated by molecular imaging in vivo,” Circulation, vol. 116, no. 24, pp. 2841–2850, 2007.
View at: Publisher Site | Google Scholar
S. New, C. Goettsch, M. Aikawa et al., “Macrophage-derived matrix vesicles: an alternative novel mechanism for microcalcification in atherosclerotic plaques,” Circulation Research, vol. 113, no. 1, pp. 72–77, 2013.
View at: Publisher Site | Google Scholar
R. C. Johson, J. A. Leopold, and J. Loscalzo, “Vascular calcification: pathobiological mechanisms and clinical implications,” Circulation Research, vol. 99, no. 10, pp. 1044–1059, 2006.
View at: Publisher Site | Google Scholar
M. L. McKenney-Drake, P. R. Territo, A. Salavati et al., “¹⁸F-NaF PET imaging of early coronary artery calcification,” Journal of the American College of Cardiology, vol. 9, no. 5, pp. 627-628, 2016.
View at: Publisher Site | Google Scholar
H. Jadvar, B. Desai, and P. S. Conti, “Sodium ¹⁸F-Fluoride PET/CT of Bone, Joint, and Other Disorders,” Seminars in Nuclear Medicine, vol. 45, no. 1, pp. 58–65, 2015.
View at: Publisher Site | Google Scholar
T. Derlin, U. Richter, P. Bannas et al., “Feasibility of 18F-sodium fluoride PET/CT for imaging of atherosclerotic plaque,” Journal of Nuclear Medicine, vol. 51, no. 6, pp. 862–865, 2010.
View at: Publisher Site | Google Scholar
F. Fiz, S. Morbelli, A. Piccardo et al., “18F-NaF uptake by atherosclerotic plaque on PET/CT imaging: inverse correlation between calcification density and mineral metabolic activity,” Journal of Nuclear Medicine, vol. 56, no. 7, pp. 1019–1023, 2015.
View at: Publisher Site | Google Scholar
T. Janssen, P. Bannas, J. Herrmann et al., “Association of linear 18F-sodium fluoride accumulation in femoral arteries as a measure of diffuse calcification with cardiovascular risk factors: a PET/CT study,” Journal of Nuclear Cardiology, vol. 20, no. 4, pp. 569–577, 2013.
View at: Publisher Site | Google Scholar
M. J. V. Ferreira, M. Oliveira-Santos, R. Silva et al., “Assessment of atherosclerotic plaque calcification using F18-NaF PET-CT,” Journal of Nuclear Cardiology, vol. 25, no. 5, pp. 1733–1741, 2018.
View at: Publisher Site | Google Scholar
M. R. Dweck, M. W. Chow, N. V. Joshi et al., “Coronary arterial 18F-sodium fluoride uptake: a novel marker of plaque biology,” Journal of the American College of Cardiology, vol. 59, no. 17, pp. 1539–1548, 2012.
View at: Publisher Site | Google Scholar
N. V. Joshi, A. T. Vesey, M. C. Williams et al., “¹⁸F-fluoride positron emission tomography for identification of ruptured and high-risk coronary atherosclerotic plaques: a prospective clinical trial,” Lancet, vol. 383, no. 9918, pp. 705–713, 2014.
View at: Publisher Site | Google Scholar
ClinicalTrials gov, “National Library of Medicine (U.S.). Dual Antiplatelet Therapy to Reduce Myocardial Injury,” June 2020 https://clinicaltrials.gov/show/NCT02110303.
View at: Google Scholar
ClinicalTrials gov, “National Library of Medicine (U.S.). Study Prediction of Recurrent Events With 18F-Fluoride,” June 2020 https://ClinicalTrials.gov/show/NCT02278211.
View at: Google Scholar
ClinicalTrials gov, “National Library of Medicine (U.S.). Effect of Evolocumab on Coronary Artery Plaque Volume and Composition by CCTA and Microcalcification by F18-NaF PET,” June 2020 https://ClinicalTrials.gov/show/NCT03689946.
View at: Google Scholar
J. W. Bellinge, R. J. Francis, K. Majeed, G. F. Watts, and C. J. Schultz, “In search of the vulnerable patient or the vulnerable plaque: 18F-sodium fluoride positron emission tomography for cardiovascular risk stratification,” Journal of Nuclear Cardiology, vol. 25, no. 5, pp. 1774–1783, 2018.
View at: Publisher Site | Google Scholar
M. Beheshti, B. Saboury, and N. Mehta, “Detection and global quantification of cardiovascular molecular calcification by fluoro18-fluoride positron emission tomography/computed tomography--a novel concept,” Hellenic Journal of Nuclear Medicine, vol. 14, no. 2, pp. 114–120, 2011.
View at: Google Scholar
B. A. Blomberg, A. Thomassen, P. A. de Jong et al., “Impact of personal characteristics and technical factors on quantification of sodium 18F-fluoride uptake in human arteries: prospective evaluation of healthy subjects,” Journal of Nuclear Medicine, vol. 56, no. 10, pp. 1534–1540, 2015.
View at: Publisher Site | Google Scholar
J. Kwiecinski, D. S. Berman, S. E. Lee et al., “Three-hour delayed imaging improves assessment of coronary 18F-sodium fluoride PET,” Journal of Nuclear Medicine, vol. 60, no. 4, pp. 530–535, 2019, 10.2967/jnumed.118.217885.
View at: Publisher Site | Google Scholar
M. L. Lassen, J. Kwiecinski, D. Dey et al., “Triple-gated motion and blood pool clearance corrections improve reproducibility of coronary 18F-NaF PET,” Eur J NuclMedMol Imaging., vol. 46, no. 12, pp. 2610–2620, 2019.
View at: Publisher Site | Google Scholar
J. Kwiecinski, P. D. Adamson, M. L. Lassen et al., “Feasibility of coronary ¹⁸F-Sodium fluoride Positron-Emission Tomography assessment with the utilization of previously acquired Computed Tomography angiography,” Circ Cardiovasc Imaging, vol. 11, no. 12, p. e008325, 2018.
View at: Publisher Site | Google Scholar
D. Massera, M. K. Doris, S. Cadet et al., “Analytical quantification of aortic valve 18F-sodium fluoride PET uptake,” Journal of Nuclear Cardiology, vol. 27, no. 3, pp. 962–972, 2020.
View at: Publisher Site | Google Scholar
R. O. Forsythe, M. R. Dweck, O. M. B. McBride et al., “¹⁸F-Sodium Fluoride Uptake in Abdominal Aortic Aneurysms: The SoFIA,” J Am Coll Cardiol, vol. 71, no. 5, pp. 513–523, 2018.
View at: Publisher Site | Google Scholar
M. R. Dweck, W. S. A. Jenkins, A. T. Vesey et al., “18F-sodium fluoride uptake is a marker of active calcification and disease progression in patients with aortic stenosis,” Circulation-Cardiovascular Imaging, vol. 7, no. 2, pp. 371–378, 2014.
View at: Publisher Site | Google Scholar
D. Massera, M. G. Trivieri, J. P. M. Andrews et al., “Disease activity in mitral annular calcification,” Circulation: Cardiovascular Imaging, vol. 12, no. 2, p. e008513, 2019.
View at: Publisher Site | Google Scholar
T. R. G. Cartlidge, M. K. Doris, S. L. Sellers et al., “Detection and Prediction of Bioprosthetic Aortic Valve Degeneration,” Journal of the American College of Cardiology, vol. 73, no. 10, pp. 1107–1119, 2019.
View at: Publisher Site | Google Scholar
R. A. P. Takx, R. van Asperen, J. W. Bartstra et al., “Determinants of 18F-NaF uptake in femoral arteries in patients with type 2 diabetes mellitus,” Journal of Nuclear Cardiology, 2020.
View at: Publisher Site | Google Scholar
J. H. Han, S. Y. Lim, M. S. Lee, and W. W. Lee, “Sodium [18F]fluoride PET/CT in myocardial infarction,” Molecular Imaging and Biology, vol. 17, no. 2, pp. 214–221, 2015.
View at: Publisher Site | Google Scholar
M. G. Trivieri, M. R. Dweck, R. Abgral et al., “¹⁸F-sodium fluoride PET/MR for the assessment of cardiac amyloidosis,” Journal of the American College of Cardiology, vol. 68, no. 24, pp. 2712–2714, 2016.
View at: Publisher Site | Google Scholar
S. Marchesseau, A. Seneviratna, A. T. Sjöholm et al., “Hybrid PET/CT and PET/MRI imaging of vulnerable coronary plaque and myocardial scar tissue in acute myocardial infarction,” Journal of Nuclear Cardiology, vol. 25, no. 6, pp. 2001–2011, 2018.
View at: Publisher Site | Google Scholar
E. Tzolos, J. Kwiecinski, M. L. Lassen et al., “Observer repeatability and interscan reproducibility of 18F-sodium fluoride coronary microcalcification activity,” Journal of Nuclear Cardiology, 2020.
View at: Publisher Site | Google Scholar
P. Huet, S. Burg, D. Le Guludec, F. Hyafil, and I. Buvat, “Variability and uncertainty of 18F-FDG PET imaging protocols for assessing inflammation in atherosclerosis: suggestions for improvement,” The Journal of Nuclear Medicine, vol. 56, no. 4, pp. 552–559, 2015.
View at: Publisher Site | Google Scholar
C. J. Jaskowiak, J. A. Bianco, S. B. Perlman, and J. P. Fine, “Influence of reconstruction iterations on 18F-FDG PET/CT standardized uptake values,” Journal of Nuclear Medicine, vol. 46, pp. 424–428, 2005.
View at: Google Scholar
M. K. Doris, Y. Otaki, S. K. Krishnan et al., “Optimization of reconstruction and quantification of motion-corrected coronary PET-CT,” Journal of Nuclear Cardiology, vol. 27, no. 2, pp. 494–504, 2020.
View at: Publisher Site | Google Scholar
W. Chen and V. Dilsizian, “Targeted PET/CT imaging of vulnerable atherosclerotic plaques: microcalcification with sodium fluoride and inflammation with fluorodeoxyglucose,” Current Cardiology Reports, vol. 15, no. 6, 2013.
View at: Publisher Site | Google Scholar
E. Tzolos, M. L. Lassen, T. Pan et al., “Respiration-averaged CT versus standard CT attenuation map for correction of 18F-sodium fluoride uptake in coronary atherosclerotic lesions on hybrid PET/CT,” Journal of Nuclear Cardiology, 2020.
View at: Publisher Site | Google Scholar
M. L. Lassen, J. Kwiecinski, and P. J. Slomka, “Gating Approaches in Cardiac PET Imaging,” PET Clinics, vol. 14, no. 2, pp. 271–279, 2019.
View at: Publisher Site | Google Scholar
M. L. Lassen, J. Kwiecinski, S. Cadet et al., “Data-driven gross patient motion detection and compensation: implications for Coronary18F-NaF PET imaging,” The Journal of Nuclear Medicine, vol. 60, no. 6, pp. 830–836, 2019.
View at: Publisher Site | Google Scholar
T. Plonek, M. Berezowski, J. Kurcz et al., “The evaluation of the aortic annulus displacement during cardiac cycle using magnetic resonance imaging,” BMC Cardiovascular Disorders, vol. 18, no. 1, pp. 154–156, 2018.
View at: Publisher Site | Google Scholar
M. L. Lassen, T. Beyer, A. Berger et al., “Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging,” Journal of Nuclear Cardiology, 2019.
View at: Publisher Site | Google Scholar
M. L. Lassen, S. Cadet, D. Massera et al., “Aortic valve imaging using 18F-sodium fluoride: implications of triple motion correction on test-retest reproducibility,” Journal of Nuclear Medicine, vol. 61, supplement 1, pp. 9–9, 2020.
View at: Google Scholar
M. Rubeaux, N. V. Joshi, M. R. Dweck et al., “Motion correction of 18F-NaF PET for imaging coronary atherosclerotic plaques,” Journal of Nuclear Medicine, vol. 57, no. 1, pp. 54–59, 2016.
View at: Publisher Site | Google Scholar
J. W. Bellinge, K. Majeed, S. S. Carr et al., “Coronary artery 18F-NaF PET analysis with the use of an elastic motion correction software,” Journal of Nuclear Cardiology, vol. 27, no. 3, pp. 952–961, 2020, 10.1007/s12350-018-01587-7.
View at: Publisher Site | Google Scholar
A. Arbab-Zadeh and V. Fuster, “The myth of the "vulnerable plaque": transitioning from a focus on individual lesions to atherosclerotic disease burden for coronary artery disease risk assessment,” JAm Coll Cardiol., vol. 65, no. 8, pp. 846–855, 2015, 10.1016/j.jacc.2014.11.041.
View at: Publisher Site | Google Scholar
U. Hoffmann, M. Ferencik, J. E. Udelson et al., “Prognostic value of noninvasive cardiovascular testing in patients with stable chest pain,” Circulation, vol. 135, no. 24, pp. 2320–2332, 2017.
View at: Publisher Site | Google Scholar
H. J. Chang, F. Y. Lin, S. E. Lee et al., “Coronary atherosclerotic precursors of acute coronary syndromes,” Journal of the American College of Cardiology, vol. 71, no. 22, pp. 2511–2522, 2018.
View at: Publisher Site | Google Scholar
G. W. Stone, A. Maehara, A. J. Lansky et al., “A prospective natural-history study of coronary atherosclerosis,” The New England Journal of Medicine, vol. 364, no. 3, pp. 226–235, 2011.
View at: Publisher Site | Google Scholar
M. R. Dweck, E. Aikawa, D. E. Newby et al., “Noninvasive molecular imaging of disease activity in atherosclerosis,” Circulation Research, vol. 119, no. 2, pp. 330–340, 2016.
View at: Publisher Site | Google Scholar
A. Arbab-Zadeh and V. Fuster, “From detecting the vulnerable plaque to managing the vulnerable patient,” Journal of the American College of Cardiology, vol. 74, no. 12, pp. 1582–1593, 2019.
View at: Publisher Site | Google Scholar
A. Ahmadi, E. Argulian, J. Leipsic, D. E. Newby, and J. Narula, “From Subclinical Atherosclerosis to Plaque Progression and Acute Coronary Events:,” Journal of the American College of Cardiology, vol. 74, no. 12, pp. 1608–1617, 2019.
View at: Publisher Site | Google Scholar
S. Motoyama, H. Ito, M. Sarai et al., “Plaque characterization by coronary computed tomography angiography and the likelihood of acute coronary events in mid-term follow-up,” Journal of the American College of Cardiology, vol. 66, no. 4, pp. 337–346, 2015.
View at: Publisher Site | Google Scholar
M. Doris, A. J. Moss, J. P. M. Andrews et al., “172Coronary 18F-sodium fluoride uptake predicts progression of coronary arterial calcification,” European Heart Journal, vol. 40, Supplement_1, p. 40, 2019.
View at: Publisher Site | Google Scholar
J. Kwiecinski, S. Cadet, M. Daghem et al., “Whole-vessel coronary 18F-sodium fluoride PET for assessment of the global coronary microcalcification burden,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 47, no. 7, pp. 1736–1745, 2020.
View at: Publisher Site | Google Scholar
M. K. Rahim, S. E. Kim, H. So et al., “Recent trends in PET image interpretations using volumetric and texture-based quantification methods in nuclear oncology,” Nuclear Medicine and Molecular Imaging, vol. 48, no. 1, pp. 1–15, 2014.
View at: Publisher Site | Google Scholar
A. Ahmadian, A. Brogan, J. Berman et al., “Quantitative interpretation of FDG PET/CT with myocardial perfusion imaging increases diagnostic information in the evaluation of cardiac sarcoidosis,” Journal of Nuclear Cardiology, vol. 21, no. 5, pp. 925–939, 2014.
View at: Publisher Site | Google Scholar
S. M. Larson, Y. Erdi, T. Akhurst et al., “Tumor treatment response based on visual and quantitative changes in global tumor glycolysis using PET-FDG imaging: the visual response score and the change in total lesion glycolysis,” Clinical Positron Imaging, vol. 2, no. 3, pp. 159–171, 1999.
View at: Publisher Site | Google Scholar
J. Kwiecinski, D. Dey, S. Cadet et al., “Predictors of 18F-sodium fluoride uptake in patients with stable coronary artery disease and adverse plaque features on computed tomography angiography,” Eur Heart J Cardiovasc Imaging, vol. 21, no. 1, pp. 58–66, 2020.
View at: Publisher Site | Google Scholar
J. Kwiecinski, D. Dey, S. Cadet et al., “Peri-coronary adipose tissue density is associated with 18F-sodium fluoride coronary uptake in stable patients with high-risk plaques,” JACC Cardiovasc Imaging, vol. 12, no. 10, pp. 2000–2010, 2019.
View at: Publisher Site | Google Scholar
M. M. Hell, M. Motwani, Y. Otaki et al., “Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up,” European Heart Journal Cardiovascular Imaging, vol. 18, no. 12, pp. 1331–1339, 2017.
View at: Publisher Site | Google Scholar
M. C. Williams, J. Kwiecinski, M. Doris et al., “Low-attenuation noncalcified plaque on coronary computed tomography angiography predicts myocardial infarction,” Circulation, vol. 141, no. 18, pp. 1452–1462, 2020.
View at: Publisher Site | Google Scholar
R. S. Vasan, “Biomarkers of cardiovascular disease: molecular basis and practical considerations,” Circulation, vol. 113, no. 19, pp. 2335–2362, 2006.
View at: Publisher Site | Google Scholar
A. J. Moss, M. K. Doris, J. P. M. Andrews et al., “Molecular coronary plaque imaging Using18F-Fluoride,” Circulation. Cardiovascular Imaging, vol. 12, no. 8, p. e008574, 2019.
View at: Publisher Site | Google Scholar
J. Kwiecinski, E. Tzolos, P. D. Adamson et al., “Coronary ¹⁸F-sodium fluoride uptake predicts outcomes in patients with coronary artery disease,” JACC, vol. 75, no. 24, pp. 3061–3074, 2020.
View at: Publisher Site | Google Scholar
A. J. Moss, M. R. Dweck, M. K. Doris et al., “Ticagrelor to reduce myocardial injury in patients with high-risk coronary artery plaque,” JACC: Cardiovascular Imaging, vol. 13, no. 7, pp. 1549–1560, 2020.
View at: Publisher Site | Google Scholar
R. Nakanishi, P. Slomka, R. Rios et al., “Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths,” JACC: Cardiovascular Imaging, 2020.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2021 Jacek Kwiecinski et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

24808

Downloads

1139

Citations