Abstract
C-X-C motif chemokine receptor 4 (CXCR4) is expressed on the surface of various cell types involved in atherosclerosis, with a particularly rich receptor expression on macrophages and T cells. First pilot studies with 68Ga-pentixafor, a novel CXCR4-directed PET tracer, have shown promise to noninvasively image inflammation within atherosclerotic plaques. The aim of this retrospective study was to investigate the performance of 68Ga-pentixafor PET/CT for imaging atherosclerosis in comparison to 18F-FDG PET/CT. Methods: Ninety-two patients (37 women and 55 men; mean age, 62 ± 10 y) underwent 68Ga-pentixafor and 18F-FDG PET/CT for staging of oncologic diseases. In these subjects, lesions in the walls of large arteries were identified using morphologic and PET criteria for atherosclerosis (n = 652). Tracer uptake was measured and adjusted for vascular lumen (background) signal by calculation of target-to-background ratios (TBRs) by 2 investigators masked to the other PET scan. On a lesion-to-lesion and patient basis, the TBRs of both PET tracers were compared and additionally correlated to the degree of arterial calcification as quantified in CT. Results: On a lesion-to-lesion basis, 68Ga-pentixafor and 18F-FDG uptake showed a weak correlation (r = 0.28; P < 0.01). 68Ga-pentixafor PET identified more lesions (n = 290; TBR ≥ 1.6, P < 0.01) and demonstrated higher uptake than 18F-FDG PET (1.8 ± 0.5 vs. 1.4 ± 0.4; P < 0.01). The degree of plaque calcification correlated negatively with both 68Ga-pentixafor and 18F-FDG uptake (r = −0.38 vs. −0.31, both P < 0.00001). Conclusion: CXCR4-directed imaging of the arterial wall with 68Ga-pentixafor PET/CT identified more lesions than 18F-FDG PET/CT, with only a weak correlation between tracers. Further studies to elucidate the underlying biologic mechanisms and sources of CXCR4 positivity, and to investigate the clinical utility of chemokine receptor–directed imaging of atherosclerosis, are highly warranted.
Despite significant improvement in the management of cardiovascular diseases, coronary artery disease and stroke are still the leading causes of mortality in developed societies (1,2). Atherosclerosis, the common underlying pathogenesis, is characterized by the gradual formation of focal, asymmetric arterial wall lesions that progressively narrow the affected vascular lumen (3). Formation of an atherosclerotic lesion is initiated by endothelial dysfunction, followed by chronic accumulation of lipids, triggering a chemotaxis-orchestrated migration of atherogenic, proinflammatory immune cells to the lesion (3–5). Structurally unstable plaques are prone to rupture, leading to thrombosis and possibly severe complications such as myocardial infarction or stroke (6). Though many of the exact mechanisms of plaque formation and rupture are yet to be elucidated, inflammation is considered one of the most important predictive factors for stroke or myocardial infarction due to atherosclerotic plaque ruptures (7). This hypothesis was recently validated by a trial in which antiinflammatory therapy with the interleukin-1β inhibitor canakinumab significantly lowered rates of cardiovascular events (8).
Functional imaging of arterial inflammation can help to identify patients at risk of plaque rupture (9). PET has been used to visualize different aspects of the atherosclerotic plaque and its associated inflammation, with most PET tracers targeting activated macrophages within the atherosclerotic lesion (10,11), and with 18F-FDG being the most-studied tracer of nuclear inflammation imaging (12–14). Other approaches include the use of 18F-NaF, which can detect calcifications and microcalcifications (15–17). Imaging atherosclerosis with PET/CT not only characterizes atherosclerotic plaques on a molecular level but also enables the quantification of arterial calcification (11), combining the strengths of both modalities.
Chemokine-mediated recruitment of proinflammatory leukocytes to the dysfunctional endothelium and subsequent plaque formation are important steps in atheroprogression (3). C-X-C motif chemokine receptor 4 (CXCR4) and its endogenous ligands, C-X-C motif chemokine 12 (CXCL12; stromal cell–derived factor 1) and migration inhibitory factor, play important roles in progenitor and immune cell trafficking (18). The precise role of the CXCR4/CXCL12 axis in atherosclerosis progression is yet to be fully elucidated, with conflicting reports about atherogenic and atheroprotective effects, respectively (18). This conflict is partly due to the recent identification of migration inhibitory factor as an alternate ligand for CXCR4 (19). Evidence shows that CXCR4 activation by CXCL12 exerts stabilizing effects on atherosclerotic lesions, whereas migration inhibitory factor acts as a major proinflammatory player (20).
Recently, CXCR4-directed PET imaging with 68Ga-pentixafor introduced the possibility for noninvasive, in vivo visualization of human CXCR4 expression (21–25). First pilot studies examining its ability to characterize atherosclerotic inflammation and myocardial injury have shown promising results and have suggested that major parts of the PET signal originate from intralesional macrophages (26–31). In this study, we investigated the performance of 68Ga-pentixafor for detection of arterial wall inflammation in comparison to 18F-FDG and correlated the respective tracer uptake to the degree of calcification in the corresponding lesions.
MATERIALS AND METHODS
Patients
One hundred forty-four oncologic patients underwent PET/CT imaging with 68Ga-pentixafor and 18F-FDG (with a maximum interval of 3 d between the 2 scans) for staging purposes or for evaluation of CXCR4-directed endoradiotherapy (32,33). Subjects with a history of inflammatory diseases (including vasculitis), chemotherapy in the preceding 4 wk, or cardiovascular events (myocardial infarction, stroke) in the last 6 mo, and patients taking cholesterol-lowering drugs such as statins or ezetimibe, were excluded from the study (n = 52). The remaining 92 subjects (37 women and 55 men; mean age, 62 ± 10 y; 33 with multiple myeloma, 25 with adrenocortical carcinoma, 13 with neuroendocrine neoplasia, 6 with non–small cell lung cancer, and 15 with miscellaneous other conditions) were included in this retrospective analysis. A flowchart of the study design is shown in Supplemental Figure 1 (supplemental materials are available at http://jnm.snmjournals.org).
68Ga-pentixafor was administered in compliance with the German Medicinal Products Act, AMG §13 2b, and in accordance with the responsible regulatory body (Government of Upper Franconia, “Regierung von Oberfranken”). The data analysis was disclosed to the local ethics committee of Würzburg University Hospital, and the need for a formal review was waived. All patients gave written informed consent before imaging. The patient characteristics are shown in Table 1.
PET/CT Acquisition
All 68Ga-pentixafor and 18F-FDG PET/CT scans were performed on a dedicated PET/CT scanner (Biograph mCT 64; Siemens Medical Solutions). 18F-FDG PET/CT imaging was performed after a 6-h fasting period to ensure serum glucose levels below 130 mg/dL. Injected activities ranged from 108 to 178 MBq (mean, 143 ± 26 MBq) for 68Ga-pentixafor and from 235 to 363 MBq (mean, 299 ± 18 MBq) for 18F-FDG.
Low-dose CT scans for attenuation correction were acquired (35 mAs, 120 keV, a 512 × 512 matrix, 5-mm slice thickness, increment of 30 mm/s, rotation time of 0.5 s, and pitch index of 0.8). Whole-body (top of the skull to knees) scans were performed 1 h after administration of the radiopharmaceutical. All PET images were reconstructed using standard parameters (HD-PET [Siemens]; 3 iterations, 24 subsets, 2-mm gaussian filtering, 5-mm axial resolution, 4 × 4 mm2 in-plane resolution) with corrections for attenuation (CT-based), dead time, random events, and scatter. The PET scanner is periodically checked for calibration accuracy as part of quality control according to published guidelines (34).
Data Analysis
Images were analyzed by 2 investigators masked to the other PET scan. 68Ga-pentixafor and 18F-FDG uptake was visually and semiquantitatively assessed with commercially available software (Hybrid 3D; Hermes Medical Solutions) on transaxial PET, CT, and PET/CT slices. The following segments of large arteries were analyzed for signs of atherosclerosis in each patient: 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. Signs of atherosclerosis were defined as either arterial wall calcification with a minimum density of 130 Hounsfield units (HU) on unenhanced CT images or high focal tracer uptake on either 18F-FDG or 68Ga-pentixafor PET images, defined as a minimum arterial target-to-background ratio (TBR) of 1.6, as described for 18F-FDG PET in the literature (35).
Volumes of interest were manually drawn at the selected sites, particularly at regions of arterial bifurcations, known to be susceptible to atherosclerotic formation, and at calcified arterial wall lesions. For analysis of calcification extent, lesions were categorized according to the modified Agatston score (36), with measurements of HU on unenhanced CT images. Group 1 (noncalcified lesions) had a calcium density of less than 130 HU. Group 2 (mildly calcified lesions) had a calcium density of 130–399 HU. Group 3 (severely calcified lesions) had a calcium density of at least 400 HU.
TBRs were calculated as previously described (35). First, SUVmax was measured by placing a circular 10-mm volume of interest around a site of focal uptake. Then, the SUVmean of the background was derived by calculating the mean of 3 regions of interest placed in the superior vena cava (the SUV of the blood pool). TBRs were then calculated as SUVmax (focal uptake) divided by the SUV of the blood pool.
Statistics
All statistical testing was performed in SPSS statistics 25 (IBM Corp.). Kolmogorov–Smirnov testing was used to verify a normal distribution of the data. Continuous parametric variables are expressed as mean ± SD. For group statistics, comparisons within the 3 groups of lesions were performed using 1-way ANOVA. The significance of observed differences between groups was confirmed with a Games–Howell post hoc test. Unpaired t tests were used to compare uptake (ratios) of both tracers in corresponding lesions. Pearson correlation coefficients (r) were calculated to assess the association between the TBRs of both tracers. P values of at least 0.05 were considered statistically significant.
RESULTS
Comparison of 68Ga-Pentixafor and 18F-FDG Uptake: Patient-Based Analysis
In the patient-based analysis, 88 of 92 subjects (95.7%) had at least 1 68Ga-pentixafor–positive lesion and 58 patients (63.0%) had at least 1 18F-FDG–positive lesion. Two patients (2.2%) had both negative 68Ga-pentixafor and negative 18F-FDG scans, and 2 patients (2.2%) had exclusively 18F-FDG–positive lesions. In the remaining 32 subjects (34.8%), all lesions were 68Ga-pentixafor–positive, 18F-FDG–negative.
The median number of 68Ga-pentixafor–positive lesions (per patient) was 4 (range, 0–13), as compared with 1 for 18F-FDG (range, 0–10). The number of 68Ga-pentixafor–positive lesions moderately correlated with the number of 18F-FDG–positive lesions (r = 0.46, P < 0.0001). On a patient level, individual mean TBRs for 68Ga-pentixafor were significantly higher than those for 18F-FDG (1.8 ± 0.3 vs. 1.4 ± 0.3; P < 0.001; Fig. 1) and were only moderately correlated (r = 0.36, P < 0.001; Fig. 1).
Comparison of 68Ga-Pentixafor and 18F-FDG Uptake: Lesion-Based Analysis
In total, 652 sites of arterial wall calcification or elevated tracer uptake (TBR ≥ 1.6) were identified and selected for further analysis. At these sites, mean SUVmax was significantly higher for 68Ga-pentixafor than for 18F-FDG (3.3 ± 1.0 vs. 2.6 ± 0.7; P < 0.01). Both tracers’ SUVmax showed a moderate positive correlation (r = 0.43; P < 0.01). With the mean blood-pool SUV of 68Ga-pentixafor and 18F-FDG being comparable (1.87 ± 0.37 vs. 1.81 ± 0.29, P = 0.18), the mean TBR was significantly higher for 68Ga-pentixafor than for 18F-FDG (1.8 ± 0.5 vs. 1.4 ± 0.4; P < 0.01). The TBR of 68Ga-pentixafor and 18F-FDG showed a weak positive correlation (r = 0.28, P < 0.01; Fig. 2). When a TBR threshold of 1.6 was applied, 290 of the potential lesions were exclusively identified on 68Ga-pentixafor PET (18F-FDG < 1.6 and 68Ga-pentixafor ≥ 1.6, P < 0.01). An example of the different tracer uptake patterns is given in Figure 3.
Relationship Between Plaque Calcification and Tracer Uptake
Most of the 652 analyzed sites demonstrated no signs of calcification (<130 HU; n = 467), whereas 99 lesions showed mild calcification (130–399 HU) and 86 showed severe calcification (≥400 HU).
There was an inverse relationship between the extent of calcification and the intensity of tracer uptake as measured by TBR for both 68Ga-pentixafor and 18F-FDG. Severely calcified lesions (n = 86) showed the lowest TBRs for both PET tracers (1.4 ± 0.6 and 1.1 ± 0.4 for 68Ga-pentixafor and 18F-FDG, respectively). Mildly calcified lesions (n = 99) showed higher TBRs than severely calcified lesions (1.7 ± 0.4 and 1.3 ± 0.3, respectively; P < 0.01). The highest TBRs were concordantly observed in noncalcified lesions (n = 467; 1.9 ± 0.4 and 1.5 ± 0.4, respectively). Higher TBRs for 68Ga-pentixafor than for 18F-FDG were also observed when the different calcification subgroups were analyzed. Results are shown in Figure 4.
DISCUSSION
18F-FDG is the best-studied PET tracer for inflammation imaging and is routinely used for nuclear imaging of atherosclerosis (10). More recently, several small-animal and human pilot studies have established the feasibility of the CXCR4-directed PET tracer 68Ga-pentixafor for cardiovascular imaging (26–30,37).
68Ga-Pentixafor and 18F-FDG Uptake Show Only a Weak Correlation
Overall, accumulation of 68Ga-pentixafor and 18F-FDG showed only a weak correlation. This was primarily observed in noncalcified lesions, in which many sites with focal 68Ga-pentixafor uptake were inconspicuous on 18F-FDG PET. Most of the 18F-FDG signal can be attributed to activated, proinflammatory macrophages (10). Likewise, at least part of the 68Ga-pentixafor signal is traceable to areas rich in CD68-positive macrophages (28,38), which may account for the lesions identified by both tracers. However, the dynamics of CXCR4 regulation in atherosclerosis are complex, and various involved cell types (including thrombocytes) have been described as contributing to the 68Ga-pentixafor signal (18,31,39,40), making its interpretation more challenging than 18F-FDG.
The 68Ga-Pentixafor Signal Appears to Originate Not Merely from Inflammation
Although there has been extensive research into the CXCR4-CXCL12 axis and its role in atherosclerosis, the basis of its involvement is still incompletely understood, given the contribution of multiple cell types and a rather complex and highly dynamic receptor expression profile (20). Because 68Ga-pentixafor PET/CT detects sites that are inconspicuous on 18F-FDG PET/CT, the source of the PET signal probably originates in additional cell types beyond mere inflammation (41). In the setting of atherosclerosis, CXCR4-expressing cells include T cells, thrombocytes, and smooth muscle cells; thus, some of the exclusively 68Ga-pentixafor–positive sites might represent very early stage lesions without markedly elevated inflammation.
It is the prevailing scientific consensus that the effects of CXCR4 through activation by its cognate ligand CXCL12 are largely atheroprotective, particularly by maintaining the arterial wall integrity, which prevents vascular remodeling. Maintenance of wall integrity is achieved by protecting the endothelial barrier function and smooth muscle cell elasticity, which is associated with retarding adhesion and penetration of leukocytes into the arterial intima (39). Collagen produced by smooth muscle cells strengthens the fibrous plaque cap, implying that dysfunctional smooth muscle cells lead to reduced plaque stability, which in turn increases the risk of subsequent plaque rupture and thrombosis (42). On the other hand, observations suggest that CXCR4 activation through its noncognate-ligand migration inhibitory factor leads to recruitment of highly inflammatory immune cells, including monocytes, macrophages, and T cells, and has a detrimental effect on atheroprogression and plaque stability (19).
One study of carotid plaques in humans showed that compared with unaffected vessels, CXCR4 expression is likewise elevated in both stable and unstable atherosclerotic plaques, with the highest receptor expression found on macrophages and macrophage-derived foam cells (31). This observation was also made in another study that showed an abundant accumulation of 68Ga-pentixafor, especially in inflamed plaques, verified histologically in human carotid plaques and in a rabbit model (28). Taken together, preclinical and clinical findings suggest a sophisticated system of CXCR4-expressing cell types within the atherosclerotic lesion that, depending on their activating ligand, may have atherogenic or antiatherosclerotic effects.
Tracer Uptake and Plaque Calcification
Our data show an inverse relationship between both 68Ga-pentixafor and 18F-FDG uptake and the degree of calcification. Noncalcified sites demonstrated the highest, severely calcified plaques the lowest TBRs for both tracers, respectively. Severely calcified plaques are generally considered to be more stable and less susceptible to rupture. In the case of 18F-FDG, this observation is consistent with previously published studies (13,43). Regarding 68Ga-pentixafor, Weiberg et al. recently documented similar results using 68Ga-pentixafor PET/CT for atherosclerosis imaging, with increased tracer uptake in only a few of the calcified lesions (30).
Limitations
There are several limitations to this retrospective study. The first concerns the cohort of oncologic, non–cardiovascular-disease patients and the PET acquisition protocol used. The impact of previous anticancer therapies on vascular inflammation cannot be excluded (although chemotherapy within 4 wk before imaging was an exclusion criterion). In addition, metabolic (inflammatory) changes induced by malignancy itself cannot be measured and therefore confound the results of this pilot study. Given the fact that imaging was performed on oncology patients, scans were started as early as 1 h after tracer injection, limiting the diagnostic accuracy, as tracer circulation time is a critical variable affecting quantification of plaque uptake (35). This limitation is particularly true for 68Ga-pentixafor, for which experience with inflammation imaging is limited. Comparability between tracers might furthermore be influenced by differences in biodistribution. Studies to optimize the imaging protocol are needed. The use of an unestablished, nonvalidated TBR threshold to define 68Ga-pentixafor–positive lesions is another limitation. In the limited literature available, the mean TBR of atherosclerotic lesions in the carotid arteries were 1.6 (38), 1.7 (30), and 1.6 (28, supplemental data), suggesting that the chosen threshold might be a reasonable first estimate, but further studies are needed to define the correct threshold for the detection of CXCR4-positive plaques visualized by receptor-directed PET imaging.
The second major limitation concerns the lack of a gold standard, namely the lack of histopathologic confirmation of an atherosclerotic plaque and associated cell types. Although the colocalization of CD68 (macrophages) and CXCR4 within atherosclerotic plaques observed in prior studies suggests that at least part of the PET signal originates from macrophages (28,31,38), no definitive conclusions can be drawn about its exact cellular source, as it is the sum of all CXCR4-expressing cells localized within or near a particular lesion and may include a combination of various cell types, including T-cells, thrombocytes, and smooth muscle cells (18,31,39,41).
The third major limitation concerns the radiopharmaceutical itself. The use of 68Ga-labeled tracers for vascular PET imaging poses several physical and technical challenges, as the high positron energy and high positron range of 68Ga lead to noisier images and worse spatial resolution, which are amplified by the lower injected activity of 68Ga compared with 18F-FDG. Therefore, it cannot be ruled out that the increased number of foci observed with 68Ga-pentixafor PET is (at least partially) attributable to noise (44). These limitations are partly compensated by the predominantly high specificity of most 68Ga-labeled radiopharmaceuticals in comparison to the nonspecific tissue uptake of 18F-labeled FDG (45). In addition, 68Ga-labeled tracers have already been successfully used to image atherosclerotic plaques in vessels as small as the coronary arteries (46), and the general feasibility of plaque imaging with 68Ga-pentixafor PET in particular has been demonstrated in recent studies (30,38). The reproducibility of the data was not tested in this retrospective study.
CONCLUSION
CXCR4-directed imaging of the arterial wall with 68Ga-pentixafor PET/CT identified more lesions than 18F-FDG PET/CT, with only a weak correlation between tracers. Further studies to elucidate the underlying biologic mechanisms and sources of CXCR4 positivity and to investigate the clinical utility of chemokine receptor–directed imaging of atherosclerosis are highly warranted.
DISCLOSURE
Hans-Jürgen Wester is founder and shareholder of Scintomics. No other potential conflict of interest relevant to this article was reported.
KEY POINTS
QUESTION: Is CXCR4-directed 68Ga-pentixafor PET/CT able to image inflammation in atherosclerosis, and how does it compare with 18F-FDG PET/CT?
PERTINENT FINDINGS: In a cohort of 92 oncologic patients, 68Ga-pentixafor PET/CT identified more lesions with higher target-to-background contrast than 18F-FDG PET/CT.
IMPLICATIONS FOR PATIENT CARE: Imaging of CXCR4 expression might contribute to a better understanding of the dynamics of atheroprogression and plaque destabilization and, in the future, might help identify patients at risk of cardiovascular events.
Footnotes
Published online Oct. 25, 2019.
- © 2020 by the Society of Nuclear Medicine and Molecular Imaging.
REFERENCES
- Received for publication July 25, 2019.
- Accepted for publication September 27, 2019.