Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Research ArticleCardiology

Association Between Osteogenesis and Inflammation During the Progression of Calcified Plaque Evaluated by 18F-Fluoride and 18F-FDG

Xiang Li, Daniel Heber, Jacobo Cal Gonzalez, Georgios Karanikas, Marius E. Mayerhoefer, Sazan Rasul, Dietrich Beitzke, Xiaoli Zhang, Hermine Agis, Markus Mitterhauser, Wolfgang Wadsak, Thomas Beyer, Christian Loewe and Marcus Hacker
Journal of Nuclear Medicine June 2017, 58 (6) 968-974; DOI: https://doi.org/10.2967/jnumed.116.182790
Xiang Li
1Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel Heber
1Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jacobo Cal Gonzalez
2Center for Medical Physics and Biomedical Engineering, General Hospital Vienna, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Georgios Karanikas
1Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marius E. Mayerhoefer
3Division of General and Pediatric Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sazan Rasul
1Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dietrich Beitzke
4Division of Cardiovascular and Interventional Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiaoli Zhang
5Department of Nuclear Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, China; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hermine Agis
6Clinical Division of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Markus Mitterhauser
1Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wolfgang Wadsak
1Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Thomas Beyer
2Center for Medical Physics and Biomedical Engineering, General Hospital Vienna, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christian Loewe
4Division of Cardiovascular and Interventional Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marcus Hacker
1Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

18F-FDG is the most widely validated PET tracer for the evaluation of atherosclerotic inflammation. Recently, 18F-NaF has also been considered a potential novel biomarker of osteogenesis in atherosclerosis. We aimed to analyze the association between inflammation and osteogenesis at different stages of atherosclerosis, as well as the interrelationship between these 2 processes during disease progression. Methods: Thirty-four myeloma patients underwent 18F-NaF and 18F-FDG PET/CT examinations. Lesions were divided into 3 groups (noncalcified, mildly calcified, and severely calcified lesions) on the basis of calcium density as measured in Hounsfield units by CT. Tissue-to-background ratios were determined from PET for both tracers. The association between inflammation and osteogenesis during atherosclerosis progression was evaluated in 19 patients who had at least 2 examinations with both tracers. Results: There were significant correlations between the maximum tissue-to-background ratios of the 2 tracers (Spearman r = 0.5 [P < 0.01]; Pearson r = 0.4 [P < 0.01]) in the 221 lesions at baseline. The highest uptake of both tracers was observed in noncalcified lesions, but without any correlation between the tracers (Pearson r = 0.06; P = 0.76). Compared with noncalcified plaques, mildly calcified plaques showed concordant significantly lower accumulation, with good correlation between the tracers (Pearson r = 0.7; P < 0.01). In addition, enhanced osteogenesis-derived 18F-NaF uptake and regressive inflammation-derived 18F-FDG uptake were observed in severely calcified lesions (Pearson r = 0.4; P < 0.01). During follow-up, increased calcium density and increased mean 18F-NaF uptake were observed, whereas mean 18F-FDG uptake decreased. Most noncalcified (86%) and mildly calcified (81%) lesions and 47% of severely calcified lesions had concordant development of both vascular inflammation and osteogenesis. Conclusion: The combination of 18F-NaF PET imaging and 18F-FDG PET imaging promotes an understanding of the mechanism of plaque progression, thereby providing new insights into plaque stabilization.

  • atherosclerosis
  • calcification
  • inflammation
  • PET/CT
  • 18F-FDG
  • 18F-NaF

The histopathologic characteristics of vulnerable plaques include spotty calcification, a thin fibrous cap, a large necrotic core, and intraplaque hemorrhage (1). The continuous accumulation of macrophages can be found in all developmental stages of atherosclerotic arteries and can contribute to plaque instability (2). Thus, vascular inflammation, including macrophage density, infiltration, differentiation, and apoptosis rate, is recognized as a prominent predictor of a vulnerable lesion (3). Moreover, as a common complication in atherosclerosis, vascular calcifications in patients with atherosclerosis are more progressive, extensive, and severe than those in people without atherosclerosis because enhanced mineral metabolism during the formation of a plaque involves intensive osteogenic activity and increased volume (4).

Macrophage infiltration and endothelial activation trigger osteogenesis, which initiates atherosclerosis; subsequently, osteogenic activity and calcium density are closely associated with macrophage accumulation (5). It has often been observed that if inflammation continues, thin-cap, inflamed fibroatheromas with high vulnerability include spotty calcium deposits, which might serve as an independent predictor of increased vulnerability (6). Another prominent view is that decreased osteogenic activity is coupled with a reduction in inflammation that drives atherosclerosis to the advanced end stage. In advanced stages, the presence of intensive calcifications with limited inflammation might serve as a stabilizer in fibrous atherosclerotic lesions (4,6,7).

CT quantification of vascular calcification has been extensively validated, and the Hounsfield units (HU) from unenhanced low-dose CT scans were shown to be associated with the extent of calcified atherosclerotic lesions (8), but there is a lack of characterization of early osteogenic activity. Recently, it was discovered that atherosclerotic calcium is histomorphologically indistinguishable from bone and that the formation of vascular calcium is similar to bone development and metabolism. Thus, it was proposed that osteogenesis could be a marker for atherosclerotic disease (9).

18F-NaF has been used as a bone PET tracer to define osteogenic activity, and the feasibility of 18F-NaF PET/CT for identifying increased intraplaque osteogenic activity in vivo was confirmed in the context of atherosclerotic plaque imaging (10–13). This process is dependent on the density of hydroxyapatite, as well as the exposed surface of calcification in the vasculature. In addition, 18F-FDG is trapped intracellularly after phosphorylation by hexokinase to allow intratissue glucose metabolism assessment. It is also the most widely validated PET tracer for the evaluation of inflammation within atherosclerotic plaques on the basis of the glucose metabolism of macrophages (2).

Published studies have also evaluated the association between arterial calcification and the inflammation of vascular disease and demonstrated macrophage/monocyte regulation of vascular calcification through the induction of osteoblastic differentiation and mineralization during the progression of atherosclerosis (14,15).

In the present study, we investigated the arterial uptake of 18F-NaF and 18F-FDG and aimed to analyze the association between tracer accumulation and calcium density at different stages of atherosclerosis. We also aimed to examine the interrelationship between inflammation and osteogenesis during plaque growth.

MATERIALS AND METHODS

Patient Population

Thirty-four myeloma patients were included in this retrospective study. They underwent both 18F-NaF PET/CT to detect the presence of bone metastases and 18F-FDG PET/CT for staging or restaging purposes within 3 d. The relevant baseline characteristics of the patients are shown in Table 1. Nineteen patients were scheduled for follow-up scans with both 18F-NaF PET/CT and 18F-FDG PET/CT at 15 ± 4 (mean ± SD) mo after baseline, and 11 of them underwent another set of follow-up scans with both tracers 12 ± 6 mo later. These scans were used to characterize osteogenesis and inflammation during plaque progression. Patients with a history of systemic inflammatory disease, statin/ezetimibe/PCSK9 medication use, or clinical cardiovascular events (myocardial infarction or stroke) between baseline and follow-up scans were excluded. The clinical institutional review board approved this study, and patients gave written informed consent.

View this table:
  • View inline
  • View popup
TABLE 1

Patient Characteristics at Baseline (n = 34)

Radiotracer Preparation

Both 18F-FDG and 18F-NaF were produced using the fully automated FASTlab platform (GE Healthcare) with good manufacturing practices–compliant single-use cassettes under aseptic conditions in concordance with national health legislature and without any objection from local health authorities. Full radiopharmaceutical quality control, as described in specific monographs of the European Pharmacopoeia, was completed before release of the product for in vivo application. Radiotracers were prepared once per day regardless of patient numbers.

PET/CT Imaging

All patients were imaged on a hybrid PET/CT system (Biograph TPTV 64; Siemens). Patients fasted for at least 6 h before tracer injection (the serum glucose level at baseline was 104 ± 21 mg/dL). Patients received 310–380 MBq of 18F-NaF and 300–450 MBq of 18F-FDG within 3 d. Transmission data were acquired using low-dose CT (18F-NaF) and contrast-enhanced CT (18F-FDG). PET images were acquired using 2 min/bed position and reconstructed by use of an iterative algorithm with point spread function correction (16), including all relevant data corrections. Four iterations and 21 subsects were used in the reconstruction.

Image Analysis

For each patient, 8 segments of the large arteries were assessed: the left and right carotid arteries; the ascending thoracic aorta; the aortic arch; the descending thoracic aorta; the abdominal aorta; and the left and right iliac arteries. As a first step, noncontrast CT images were visually evaluated for the presence of calcified plaques in the 8 arterial segments. The presence of vascular calcifications was defined as a luminal area with a minimum calcium density of 130 HU by region-of-interest measurements (17). In the present study, 3 groups of lesions were defined for vascular calcifications: group 1, noncalcified lesions (calcium density, <130 HU); group 2, mildly calcified lesions (calcium density, 130–399 HU); and group 3, severely calcified lesions (calcium density, ≥400 HU).

The uptake of 18F-NaF and 18F-FDG in the calcified lesions was assessed with commercially available software (Hybrid 3D; Hermes Medical Solutions). The SUVmax of both 18F-FDG uptake and 18F-NaF uptake in all atherosclerotic lesions was determined by region-of-interest measurements. For the calculation of tissue-to-background ratios (TBR), SUVs were corrected for background blood-pool activity, which was calculated as the mean uptake from 3 regions of interest within the lumen of veins (18,19). The mean maximum TBR (TBRmax) of uptake was calculated for both tracers. For analyses of follow-up scans, the same lesions that were detected on baseline scans were considered for both tracers. To evaluate the relationship between the uptake ratios of the 2 tracers, we performed linear regression analyses of the baseline TBRmax for 18F-NaF and the baseline TBRmax for 18F-FDG in the 3 groups individually.

We used a predefined threshold TBR (18F-FDG) of 1.6 to identify increased inflammation (20,21) and a self-defined threshold TBR (18F-NaF) of 1.8 to indicate positive osteogenesis. Relevant calcium density changes were estimated as well. Stabilized/retarded development and progressive/positive development of the 2 processes are shown in Table 2. The interaction between atherosclerotic inflammation and osteogenesis and subsequent calcification evolution was assessed.

View this table:
  • View inline
  • View popup
TABLE 2

Criteria for Classification of Inflammation and Osteogenesis Based on Changes in 18F-FDG and 18F-NaF Uptake

Statistical Analysis

Apart from descriptive statistics at baseline, comparisons among the 3 groups of lesions were performed using one-way ANOVA. A Games–Howell post hoc test was performed to confirm where the differences occurred. For progression assessment as well as for antitumor medication assessment, a paired t test was performed to assess differences in uptake ratios for all lesions over time. The rank correlations of the TBRmax for 18F-NaF and the TBRmax for 18F-FDG in the arteries were assessed using the Spearman correlation. The associations of progressive calcium scores on CT with baseline and progressive uptake data on PET were assessed using Pearson linear regression analysis. P values of less than or equal to 0.05 were considered statistically significant.

RESULTS

Osteogenesis and Macrophage Metabolism in Relation to Plaque Calcification

At baseline, 221 atherosclerotic lesions (26 noncalcified and 195 calcified lesions) were detected within the 8 arterial segments in the 34 patients. The mean TBRmax of 18F-NaF uptake was significantly higher than that of 18F-FDG uptake (2.4 ± 0.8 vs. 1.8 ± 0.5; P < 0.01). The uptake of both tracers correlated significantly, but with a low Spearman rank correlation coefficient (r = 0.5; P < 0.01). In addition, a linear correlation coefficient of 0.4 (P < 0.01) between the TBRmax for 18F-NaF and the TBRmax for 18F-FDG was calculated by the Pearson correlation method for all lesions (Fig. 1); the highest degrees of correlation were shown for mildly calcified lesions (r = 0.7; P < 0.01) and then for severely calcified lesions (r = 0.4; P < 0.01). There was no correlation between the 2 tracers for noncalcified lesions (r = 0.06; P = 0.76) (Fig. 1).

FIGURE 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 1.

Linear relationship between TBRmax for 18F-NaF and TBRmax for 18F-FDG in all lesions (Pearson r = 0.4; P < 0.01) (A), in noncalcified lesions (Pearson r = 0.06; P = 0.76) (B), in mildly calcified lesions (Pearson r = 0.7; P < 0.01) (C), and in severely calcified lesions (Pearson r = 0.4; P < 0.01) (D).

In the group analyses at baseline, significantly higher uptake of 18F-FDG was observed in noncalcified lesions (TBRmax, 2.2 ± 0.3) than in mildly calcified lesions (TBRmax, 1.8 ± 0.4) (P < 0.05) or severely calcified lesions (TBRmax, 1.7 ± 0.4) (P < 0.05) (Fig. 2), whereas no significant differences were found between the 2 groups of calcified lesions (P = 0.28).

FIGURE 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 2.

Mean TBRmax for different groups of atherosclerotic lesions according to calcifications. Asterisks indicate significant differences (P < 0.05).

For 18F-NaF, significantly enhanced osteogenesis-derived uptake was detected in noncalcified lesions (TBRmax, 2.6 ± 0.7). Likewise, a lower signal for vascular 18F-NaF uptake was detected in mildly calcified lesions (TBRmax, 2.2 ± 0.6; P < 0.05), whereas no significant differences were found between the 2 groups of calcified lesions (P = 0.13) or between noncalcified and severely calcified lesions (TBRmax, 2.4 ± 0.8; P = 0.39) (Fig. 2).

Differential Changes in Osteogenesis, Macrophage Metabolism, and Plaque Calcification Over Time

In the plaque progression study of the 19 patients who were scanned twice (98 lesions), the mean calcium density increased from 580 ± 320 HU (baseline) to 657 ± 328 HU (follow-up) (P = 0.07) (Fig. 3). At the same time, plaque osteogenic activity, as measured by 18F-NaF uptake (mean TBRmax), significantly increased from 2.5 ± 0.8 (baseline) to 2.8 ± 0.7 (follow-up) (P < 0.05). In contrast, there was a nonsignificant trend of decreasing inflammatory activity, as determined by the mean TBRmax for 18F-FDG (from 1.9 ± 0.8 at baseline to 1.7 ± 0.4 at follow-up; P = 0.25) (Fig. 3). Representative 18F-FDG and 18F-NaF PET/CT images of patients who had different types of lesions are shown in Figure 4.

FIGURE 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 3.

Analysis of progression from baseline to follow-up (n = 19) for calcium density and uptake ratios of both tracers. Asterisk indicates significant difference (P < 0.05).

FIGURE 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 4.

Transaxial 18F-NaF PET/CT images of arterial noncalcified, mildly calcified, and severely calcified lesions from 3 representative myeloma patients at baseline and at 2 follow-up scans. (A) In noncalcified lesions, 18F-NaF accumulation in carotid plaque was colocalized with 18F-FDG accumulation. Progressive carotid arterial calcium accumulation with enhanced 18F-NaF uptake and 18F-FDG uptake was detected. (B) In mildly calcified lesions, after progressive arterial calcium accumulation, 18F-NaF uptake progressed intensively from baseline to follow-up scan along with progressed 18F-FDG uptake. (C) Dense calcium composition was observed in severely calcified lesions, whereas the progressive 18F-NaF focal uptake ratio was coupled with regression of 18F-FDG uptake during plaque progression. Arrows indicate calcified lesions.

Comprehensive group assessments were performed on the basis of changes detected by both tracers between baseline and follow-up. Sixty-three percent of all lesions showed concordant changes from baseline to follow-up. Specifically, inflammation and osteogenesis progressed concordantly in 86% of noncalcified lesions and 81% of mildly calcified lesions; however, only 47% of severely calcified lesions exhibited coincident development during plaque progression (Fig. 5).

FIGURE 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 5.

Concomitant development of inflammation and osteogenesis during disease progression. (A) Progression or regression developed concordantly in 63% of all lesions. (B and C) Most early noncalcified lesions (86%) (B) and mildly calcified lesions (81%) (C) showed concordant changes. (D) Only half of severely calcified lesions (47%) evolved in manner consistent with vascular inflammation and osteogenesis progression. These results suggested that relatively early atherosclerotic osteogenesis is determined by macrophage accumulation and that further intensive arterial osteogenesis might be associated with retardation of inflammation.

Antimyeloma Medical Therapy

Potential interactions with antitumor medications were investigated in the 19 patients who underwent both baseline and follow-up scans with the 2 tracers: 8 patients (42%) received zoledronic acid, and 4 patients (21%) received denosumab. In the zoledronic acid–treated group, the TBR for 18F-NaF increased (TBR at baseline [TBRbaseline] of 2.6 ± 0.8 vs. TBR at follow-up [TBRfollow-up] of 2.9 ± 0.7; P < 0.05), whereas the TBR for 18F-FDG decreased, but this change did not reach statistical significance (TBRbaseline of 2.0 ± 0.9 vs. TBRfollow-up of 1.8 ± 0.4; P = 0.13). In the denosumab-treated group, the TBR for 18F-NaF increased (TBRbaseline of 2.1 ± 0.8 vs. TBRfollow-up of 2.8 ± 0.6; P < 0.01), whereas the TBR for 18F-FDG remained stable (TBRbaseline of 1.5 ± 0.4 vs. TBRfollow-up of 1.6 ± 0.3; P = 0.64).

In the 7 patients who did not receive zoledronic acid or denosumab treatment, the TBR remained stable for both tracers (for 18F-NaF: TBRbaseline of 2.7 ± 0.9 vs. TBRfollow-up of 2.8 ± 0.8 [P = 0.61]; for 18F-FDG: TBRbaseline of 1.8 ± 0.4 vs. TBRfollow-up of 1.8 ± 0.4 [P = 0.39]).

DISCUSSION

In the present study, we investigated the interplay between inflammatory activity and osteogenesis, as determined by 18F-FDG and 18F-NaF, in atherosclerotic lesions with different degrees of calcification, as determined by CT. At the molecular level, hydroxyapatite emerges intensively on the crystallization surface, fluoride ions interact with the hydroxyapatite by ion exchange with hydroxyl groups, and the uptake of 18F-NaF directly reflects osteogenic activity (13). This process is dependent on the density of hydroxyapatite, as well as the exposed surface of calcification in the vasculature. The Agatston score is a semiquantitative method for calculating the extent of coronary artery calcification, and thresholds of 130 and 400 HU have been empirically set to define the presence of calcification and the presence of severe calcification, respectively (17,22). Thus, to evaluate the arterial calcium extent in the present study, we used a kindred semiquantitative evaluation system, which considered calcium density, to classify groups with different calcification severities (Table 2).

In the present study, higher TBRmax were calculated for 18F-NaF PET than for 18F-FDG PET in the same lesions at baseline, a result that is in accordance with the results of a study by Derlin et al. (23). In the group assessment, increased uptake of 18F-NaF, an indicator of activated/enhanced osteogenesis, was detected in early atherosclerotic lesions with an undetectable calcium composition and in advanced calcified lesions (Fig. 2). This finding is in agreement with the findings of previously published research, which demonstrated osteogenic activity at an early stage of atherosclerosis—when mineralization was stimulated by macrophage infiltration/activation—as well as at a later, activated stage—when calcification was induced by both vascular apoptosis and continued macrophage activation (13,24). In other words, a high macrophage burden and dense vascular calcification might occur in calcified segments at different stages.

In early erosive plaques, inflammatory mediators and elevated lipid content within atherosclerotic lesions induce osteogenic differentiation from immune cells and smooth muscle cells (25); during the subsequent progression of disease, continuous macrophage infiltration precedes osteogenic activity and increased mineralization, in which the apoptosis of lipid-laden macrophages induces calcium deposition in smooth muscle cells (26). Moreover, in late atherosclerotic plaques, continued development of vascular inflammation might also induce osteogenesis and drive the plaque to be at risk of rupture (13).

In the present study, we observed increased vascular osteogenesis and subsequent progressive calcification along with reduced inflammation, as detected by 18F-NaF and 18F-FDG PET/CT (Fig. 3). In subgroup analyses, noncalcified and mildly calcified lesions during the relatively early progression of atherosclerotic calcification revealed that most lesions proceeded in a manner consistent with osteogenic and inflammatory processes. However, there was discordant regulation of these 2 processes during the development of most advanced calcified lesions (Fig. 5). This result also suggested that early atherosclerotic osteogenesis is determined by macrophage accumulation and that further intensive progression of arterial calcification might be associated with reduced inflammation. In a novel view, the association between biomechanical stress and plaque pathophysiology suggests that calcification more likely occurs at the fibrous cap of plaques, leading to an increased risk of plaque ruptures (27).

There was no increased uptake of 18F-NaF in severely calcified lesions, and 18F-NaF uptake did not correlate well with calcium density on CT. This finding could be explained by the fact that 18F-NaF uptake is closely associated with the density of on-site hydroxyapatite, which is deposited on the crystal surface and, thus, does not necessarily reflect the overall calcium density of lesions. Furthermore, vascular calcifications have different pathophysiologies and structures in different arteries, according to hemodynamics and shear stress. Aikawa et al. reported increased osteogenic activity accompanied by an intensive macrophage burden at arterial sites with the greatest amount of mechanical stress (24). They also demonstrated that inflammation and osteogenesis evolved in close proximity and overlapped at border regions and suggested that plaque ruptures might occur in these adjacent areas. These overlapping sites with high mechanical stress might induce an acute proinflammatory response and, thus, subsequent enhanced osteogenesis; this notion suggests that increased 18F-NaF uptake at a specific anatomic site serves as a surrogate marker for activated atherosclerotic calcification, not intact calcification.

Another reason for the underestimation of 18F-NaF uptake could be the occurrence of partial-volume effects in small, calcified lesions. Dynamic attachment of tracers under distinct flow conditions and the active formation volume of the hydroxyapatite on the crystal surface could also affect 18F-NaF uptake ratios.

Several lines of evidence have suggested that arterial calcifications share features with bone because the metabolism of arterial calcifications is indistinguishable from that of bone lesions, and arterial osteogenesis shows similarities to new bone formation and development (7,9). Bone remodeling consists of the resorption of aged bone components and new bone formation (28). We presumed that the components of calcium salts change dynamically during bone progression. Thus, we also inferred that the activity of the osteogenesis-related calcium salt, hydroxyapatite, might vary on the surface of mineralization during calcification development.

18F-NaF and 18F-FDG PET/CT might provide distinct insights into atherosclerosis progression by providing information on ongoing osteogenesis and inflammation in different phases of atherosclerosis independently. On the other hand, coronary 18F-FDG uptake is frequently obscured by physiologic myocardial uptake, so that 18F-NaF is increasingly being used for coronary artery imaging; increased osteogenesis was recently demonstrated by 18F-NaF to be associated with cardiac events during follow-up (13). Although both 18F-NaF and 18F-FDG have strengths and limitations in the evaluation of inflammatory atherosclerosis, the combination of these techniques—together with morphologic allocation or characterization by CT or MRI—could improve diagnostic and, in particular, prognostic accuracy.

We also observed significantly increased 18F-NaF uptake ratios over time when antitumor medications (zoledronic acid and denosumab) were used in myeloma patients. Zoledronic acid closely resembles pyrophosphate compounds and inhibits hydroxyapatite breakdown, thereby effectively suppressing bone resorption (29). Denosumab is able to slow down bone resorption by interacting with osteoclast cells and enables the formation of bone components (30,31). However, because of the relatively small number of patients investigated, the influence of these antitumor drugs on atherosclerosis progression and, in particular, on calcification development remains unclear. Nevertheless, the present study might provide a flexible method for assessing the effectiveness of antiplaque medical therapy in the context of prospective clinical trials.

The limitations of this retrospective analysis must be considered. First, no histologic analyses were available as a reference; however, it was previously shown that specific 18F-NaF uptake colocalized with active calcification, as determined by histology, as well as macrophage infiltration, apoptosis, and necrosis. Second, because pure noncalcified plaques are difficult to identify on noncontrast CT scans, these types of plaques might have been underrepresented. Third, we cannot exclude the influence of anticancer medical therapies or the hormone response of myeloma. Especially for patients who take immunomodulatory drugs, such as lenalidomide, interference between drugs and tracer uptake might influence the accuracy and reproducibility of results. It is clear from our data that further prospective, methodologic studies with larger samples are needed to address the prognostic value of 18F-NaF focal uptake and the association between atherosclerotic inflammation and osteogenesis.

CONCLUSION

Both 18F-FDG PET and 18F-NaF PET revealed distinct accumulation of the tracers during the progression of calcified plaques, but the accumulation reflected different pathophysiologic processes of atherosclerosis. The combination of 18F-NaF PET and 18F-FDG PET might improve the noninvasive identification and characterization of vulnerable plaques.

DISCLOSURE

No potential conflict of interest relevant to this article was reported.

Acknowledgments

We thank the team of technologists for their constant helpfulness and patient management as well as their engagement in 18F-FDG radiotracer synthesis. Furthermore, Andreas Krcal is acknowledged for his help with 18F-NaF radiopreparations.

Footnotes

  • ↵* Contributed equally to this work.

  • Published online Feb. 23, 2017.

  • © 2017 by the Society of Nuclear Medicine and Molecular Imaging.

REFERENCES

  1. 1.↵
    1. Finn AV,
    2. Nakano M,
    3. Narula J,
    4. Kolodgie FD,
    5. Virmani R
    . Concept of vulnerable/unstable plaque. Arterioscler Thromb Vasc Biol. 2010;30:1282–1292.
    OpenUrlAbstract/FREE Full Text
  2. 2.↵
    1. Tarkin JM,
    2. Joshi FR,
    3. Rudd JH
    . PET imaging of inflammation in atherosclerosis. Nat Rev Cardiol. 2014;11:443–457.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Robbins CS,
    2. Hilgendorf I,
    3. Weber GF,
    4. et al
    . Local proliferation dominates lesional macrophage accumulation in atherosclerosis. Nat Med. 2013;19:1166–1172.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Demer LL,
    2. Tintut Y
    . Vascular calcification: pathobiology of a multifaceted disease. Circulation. 2008;117:2938–2948.
    OpenUrlFREE Full Text
  5. 5.↵
    1. New SE,
    2. Aikawa E
    . Molecular imaging insights into early inflammatory stages of arterial and aortic valve calcification. Circ Res. 2011;108:1381–1391.
    OpenUrlAbstract/FREE Full Text
  6. 6.↵
    1. Ehara S,
    2. Kobayashi Y,
    3. Yoshiyama M,
    4. et al
    . Spotty calcification typifies the culprit plaque in patients with acute myocardial infarction: an intravascular ultrasound study. Circulation. 2004;110:3424–3429.
    OpenUrlAbstract/FREE Full Text
  7. 7.↵
    1. Doherty TM,
    2. Asotra K,
    3. Fitzpatrick LA,
    4. et al
    . Calcification in atherosclerosis: bone biology and chronic inflammation at the arterial crossroads. Proc Natl Acad Sci USA. 2003;100:11201–11206.
    OpenUrlAbstract/FREE Full Text
  8. 8.↵
    1. Shemesh J,
    2. Henschke CI,
    3. Shaham D,
    4. et al
    . Ordinal scoring of coronary artery calcifications on low-dose CT scans of the chest is predictive of death from cardiovascular disease. Radiology. 2010;257:541–548.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Hunt JL,
    2. Fairman R,
    3. Mitchell ME,
    4. et al
    . Bone formation in carotid plaques: a clinicopathological study. Stroke. 2002;33:1214–1219.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Derlin T,
    2. Richter U,
    3. Bannas P,
    4. et al
    . Feasibility of 18F-sodium fluoride PET/CT for imaging of atherosclerotic plaque. J Nucl Med. 2010;51:862–865.
    OpenUrlAbstract/FREE Full Text
  11. 11.
    1. Irkle A,
    2. Vesey AT,
    3. Lewis DY,
    4. et al
    . Identifying active vascular microcalcification by 18F-sodium fluoride positron emission tomography. Nat Commun. 2015;6:7495.
    OpenUrlCrossRefPubMed
  12. 12.
    1. Dweck MR,
    2. Chow MW,
    3. Joshi NV,
    4. et al
    . Coronary arterial 18F-sodium fluoride uptake: a novel marker of plaque biology. J Am Coll Cardiol. 2012;59:1539–1548.
    OpenUrlFREE Full Text
  13. 13.↵
    1. Joshi NV,
    2. Vesey AT,
    3. Williams MC,
    4. et al
    . 18F-fluoride positron emission tomography for identification of ruptured and high-risk coronary atherosclerotic plaques: a prospective clinical trial. Lancet. 2014;383:705–713.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Shanahan CM
    . Inflammation ushers in calcification: a cycle of damage and protection? Circulation. 2007;116:2782–2785.
    OpenUrlFREE Full Text
  15. 15.↵
    1. Tintut Y,
    2. Patel J,
    3. Territo M,
    4. Saini T,
    5. Parhami F,
    6. Demer LL
    . Monocyte/macrophage regulation of vascular calcification in vitro. Circulation. 2002;105:650–655.
    OpenUrlAbstract/FREE Full Text
  16. 16.↵
    1. Panin VY,
    2. Kehren F,
    3. Michel C,
    4. Casey M
    . Fully 3-D PET reconstruction with system matrix derived from point source measurements. IEEE Trans Med Imaging. 2006;25:907–921.
    OpenUrlCrossRefPubMed
  17. 17.↵
    1. Agatston AS,
    2. Janowitz WR,
    3. Hildner FJ,
    4. Zusmer NR,
    5. Viamonte M Jr..,
    6. Detrano R
    . Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol. 1990;15:827–832.
    OpenUrlFREE Full Text
  18. 18.↵
    1. Li X,
    2. Samnick S,
    3. Lapa C,
    4. et al
    . 68Ga-DOTATATE PET/CT for the detection of inflammation of large arteries: correlation with 18F-FDG, calcium burden and risk factors. EJNMMI Res. 2012;2:52.
    OpenUrlCrossRefPubMed
  19. 19.↵
    1. Rominger A,
    2. Saam T,
    3. Wolpers S,
    4. et al
    . 18F-FDG PET/CT identifies patients at risk for future vascular events in an otherwise asymptomatic cohort with neoplastic disease. J Nucl Med. 2009;50:1611–1620.
    OpenUrlAbstract/FREE Full Text
  20. 20.↵
    1. Emami H,
    2. Vucic E,
    3. Subramanian S,
    4. et al
    . The effect of BMS-582949, a P38 mitogen-activated protein kinase (P38 MAPK) inhibitor on arterial inflammation: a multicenter FDG-PET trial. Atherosclerosis. 2015;240:490–496.
    OpenUrlCrossRefPubMed
  21. 21.↵
    1. Elkhawad M,
    2. Rudd JH,
    3. Sarov-Blat L,
    4. et al
    . Effects of p38 mitogen-activated protein kinase inhibition on vascular and systemic inflammation in patients with atherosclerosis. JACC Cardiovasc Imaging. 2012;5:911–922.
    OpenUrlAbstract/FREE Full Text
  22. 22.↵
    1. van der Bijl N,
    2. Joemai RM,
    3. Geleijns J,
    4. et al
    . Assessment of Agatston coronary artery calcium score using contrast-enhanced CT coronary angiography. AJR. 2010;195:1299–1305.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Derlin T,
    2. Toth Z,
    3. Papp L,
    4. et al
    . Correlation of inflammation assessed by 18F-FDG PET, active mineral deposition assessed by 18F-fluoride PET, and vascular calcification in atherosclerotic plaque: a dual-tracer PET/CT study. J Nucl Med. 2011;52:1020–1027.
    OpenUrlAbstract/FREE Full Text
  24. 24.↵
    1. Aikawa E,
    2. Nahrendorf M,
    3. Figueiredo JL,
    4. et al
    . Osteogenesis associates with inflammation in early-stage atherosclerosis evaluated by molecular imaging in vivo. Circulation. 2007;116:2841–2850.
    OpenUrlAbstract/FREE Full Text
  25. 25.↵
    1. New SE,
    2. Goettsch C,
    3. Aikawa M,
    4. et al
    . Macrophage-derived matrix vesicles: an alternative novel mechanism for microcalcification in atherosclerotic plaques. Circ Res. 2013;113:72–77.
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    1. Proudfoot D,
    2. Skepper JN,
    3. Hegyi L,
    4. Bennett MR,
    5. Shanahan CM,
    6. Weissberg PL
    . Apoptosis regulates human vascular calcification in vitro: evidence for initiation of vascular calcification by apoptotic bodies. Circ Res. 2000;87:1055–1062.
    OpenUrlAbstract/FREE Full Text
  27. 27.↵
    1. Vengrenyuk Y,
    2. Carlier S,
    3. Xanthos S,
    4. et al
    . A hypothesis for vulnerable plaque rupture due to stress-induced debonding around cellular microcalcifications in thin fibrous caps. Proc Natl Acad Sci USA. 2006;103:14678–14683.
    OpenUrlAbstract/FREE Full Text
  28. 28.↵
    1. Barrère F,
    2. van Blitterswijk CA,
    3. de Groot K
    . Bone regeneration: molecular and cellular interactions with calcium phosphate ceramics. Int J Nanomedicine. 2006;1:317–332.
    OpenUrlPubMed
  29. 29.↵
    1. Fleisch H
    . Bisphosphonates: mechanisms of action. Endocr Rev. 1998;19:80–100.
    OpenUrlCrossRefPubMed
  30. 30.↵
    1. Boyle WJ,
    2. Simonet WS,
    3. Lacey DL
    . Osteoclast differentiation and activation. Nature. 2003;423:337–342.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. McClung MR,
    2. Lewiecki EM,
    3. Cohen SB,
    4. et al
    . Denosumab in postmenopausal women with low bone mineral density. N Engl J Med. 2006;354:821–831.
    OpenUrlCrossRefPubMed
  • Received for publication August 18, 2016.
  • Accepted for publication October 25, 2016.
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 58 (6)
Journal of Nuclear Medicine
Vol. 58, Issue 6
June 1, 2017
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Association Between Osteogenesis and Inflammation During the Progression of Calcified Plaque Evaluated by 18F-Fluoride and 18F-FDG
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Association Between Osteogenesis and Inflammation During the Progression of Calcified Plaque Evaluated by 18F-Fluoride and 18F-FDG
Xiang Li, Daniel Heber, Jacobo Cal Gonzalez, Georgios Karanikas, Marius E. Mayerhoefer, Sazan Rasul, Dietrich Beitzke, Xiaoli Zhang, Hermine Agis, Markus Mitterhauser, Wolfgang Wadsak, Thomas Beyer, Christian Loewe, Marcus Hacker
Journal of Nuclear Medicine Jun 2017, 58 (6) 968-974; DOI: 10.2967/jnumed.116.182790

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Association Between Osteogenesis and Inflammation During the Progression of Calcified Plaque Evaluated by 18F-Fluoride and 18F-FDG
Xiang Li, Daniel Heber, Jacobo Cal Gonzalez, Georgios Karanikas, Marius E. Mayerhoefer, Sazan Rasul, Dietrich Beitzke, Xiaoli Zhang, Hermine Agis, Markus Mitterhauser, Wolfgang Wadsak, Thomas Beyer, Christian Loewe, Marcus Hacker
Journal of Nuclear Medicine Jun 2017, 58 (6) 968-974; DOI: 10.2967/jnumed.116.182790
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • DISCLOSURE
    • Acknowledgments
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • Phosphatidic Acid Mediated Sonodynamic Therapy Facilitates M1 Macrophage Osteoclastic Function and Alleviates Early Vascular Calcification
  • Imaging Inflammation in Atherosclerosis with CXCR4-Directed 68Ga-Pentixafor PET/CT: Correlation with 18F-FDG PET/CT
  • Imaging Cardiovascular Calcification
  • Google Scholar

More in this TOC Section

Cardiology

  • Time from Tc-99m Sestamibi Injection to Imaging Scan for Rest and Stress Myocardial Perfusion Imaging
  • Use of Conventional Late Imaging Protocol for Dynamic SPECT Imaging
  • Evaluating the Effect of Performing Adjunct Low-Level Exercise During Injection of Regadenoson
Show more Cardiology

Clinical

  • Detection of Early Progression with 18F-DCFPyL PET/CT in Men with Metastatic Castration-Resistant Prostate Cancer Receiving Bipolar Androgen Therapy
  • TauIQ: A Canonical Image Based Algorithm to Quantify Tau PET Scans
  • Dual PET Imaging in Bronchial Neuroendocrine Neoplasms: The NETPET Score as a Prognostic Biomarker
Show more Clinical

Similar Articles

Keywords

  • atherosclerosis
  • calcification
  • inflammation
  • PET/CT
  • 18F-FDG
  • 18F-NaF
SNMMI

© 2025 SNMMI

Powered by HighWire