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Journal of Cerebral Blood Flow & Metabolism logoLink to Journal of Cerebral Blood Flow & Metabolism
. 2017 Mar 3;37(10):3401–3408. doi: 10.1177/0271678X17696322

Imaging angiogenesis using 68Ga-NOTA-PRGD2 positron emission tomography/computed tomography in patients with severe intracranial atherosclerotic disease

Shi Shu 1,*, Li Zhang 1,*, Yi Cheng Zhu 1, Fang Li 2, Li Ying Cui 1, Hao Wang 2, Yi Sun 2, Pei Lin Wu 2,3, Zhao Hui Zhu 2,*, Bin Peng 1,*,
PMCID: PMC5624394  PMID: 28273724

Abstract

Angiogenesis is a critical compensation route, which has been demonstrated in the brain following ischemic stroke; however, few studies have investigated angiogenesis in chronic intracranial atherosclerosis disease (ICAD). We used 68Ga-NOTA-PRGD2 positron emission tomography/computed tomography based imaging to detect angiogenesis in chronic ICAD and to explore the factors that may have affected it. A total of 21 participants with unilateral severe chronic ICAD were included in the study. Of the 21 participants, 19 were men; the mean (SD) age was 52 (15) years. In 18 participants, we observed elevated 68Ga-NOTA-PRGD2 uptake in the peri-infarct, subcortical, and periventricular regions of the lesioned side, with a higher 68Ga-NOTA-PRGD2 SUVmax compared to that in the contralateral hemisphere (0.15 vs. 0.06, p=0.001). The 18F-FDG PET SUVmax was significantly lower on the lesioned side (11.28 vs. 13.92, p=0.001). Subgroup analyses revealed that the recent group (<6 months) had a higher lesion-to-contralateral region ratio SUVmax than the remote group (>6 months) (6.73 vs. 2.36, p<0.05). Our results provide molecular imaging evidence of angiogenesis in patients with severe chronic ICAD. Furthermore, the extent of angiogenesis in chronic ICAD may be affected by the post-qualified event time interval, and not by infarction itself or the severity of the arterial lesion.

Keywords: Angiogenesis, 68Ga-NOTA-PRGD2 PET/CT, chronic ischemia, severe intracranial atherosclerosis disease, collaterals

Introduction

Intracranial atherosclerotic disease (ICAD) is one of the most common causes of ischemic stroke worldwide.1,2 The risk of recurrent ipsilateral stroke is higher in patients with high-grade stenosis (≥70%) than in those with less severe stenosis (<70%).3 Hemodynamic impairment and thromboembolism caused by ICAD may lead to the recruitment of collaterals, which can improve the perfusion state of the ischemic brain.46 Collateral circulation, thus, becomes an important factor not only in predicting prognosis in cases of acute ischemic stroke, but also identifying patients at high risk of stroke following chronic severe ICAD.7,8

Two classes of collaterals are activated by hypoperfusion or ischemia in the brain, the primary collaterals consisting of arteries included in the circle of Willis circle, and the secondary collaterals, including the leptomeningeal and ophthalmic anastomoses developing from preexisting arterioles as well as through angiogenesis, i.e. the formation of new blood vessels.9 Current studies of collateral supply in ICAD focus primarily on the circle of Willis and the anastomoses, which maintain the blood supply.1012 Although angiogenesis in acute ischemic stroke is known to be a critical intrinsic restoration mechanism and regarded as a potential treatment strategy, angiogenesis in chronic ICAD is less studied.13,14

Animal studies of chronic cerebral hypoxia or hypoperfusion have identified angiogenesis by detecting increases in the serum vascular endothelial growth factor (VEGF) levels and the microvessel density.1517 In addition, investigators have found that patients with severe ICAD show increased level of serum endothelial progenitor cells,14,18 which play an important role in angiogenesis. However, conclusions from animal research are limited by the difficulty to simulate complex pathophysiological processes; results from serum-based clinical studies are questioned given the restrictions imposed by the blood–brain barrier (BBB).14

With the rapid development of molecular imaging techniques, angiogenesis imaging in tumors and ischemic diseases is experiencing a breakthrough.19,20 68Ga-NOTA-PRGD2 (NOTA-PRGD2 is NOTA-PEG4-E[c(RGDfK)]2), a 68Ga radiolabeled cyclic arginine-glycine-aspartic acid (RGD) dimer with PEG spacers, can specifically and efficiently combine with integrin αvβ3.2124 Integrin αvβ3 is specifically expressed on the surface of activated endothelial cells, and not quiescent ones, during the process of angiogenesis;2527 therefore, the aggregation of 68Ga-NOTA-PRGD2 in the brain detected by positron emission tomography (PET) can be used as an indicator of angiogenesis in the examined tissue. 68Ga-NOTA-RGD has been translated into clinical application to examine angiogenesis in moyamoya disease, acute myocardial infarction, and acute ischemic stroke via PET/computed tomography (CT).28,29 This approach was superior in the context of radionuclide production and image accuracy compared to other angiogenesis imaging methods.

The primary aim of this study is to provide molecular imaging evidence of angiogenesis in chronic ICAD using 68Ga-NOTA-PRGD2 PET/CT. We compared 68Ga-NOTA-PRGD2-binding in the regions supplied by the stenotic/occlusive arteries with that in the contralateral regions. We analyzed differences in 68Ga-NOTA-PRGD2 uptake between different subgroups to evaluate factors such as the severity of the artery lesion, qualifying infarcts, and intervals between qualifying events and PET scans, which may have an effect on angiogenesis.

Methods

Subjects

This pilot study conformed to ethical standards of Helsinki Declaration and was approved by the Institutional Review Boards of the Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College. Each participant provided written informed consent prior to participation in the study. All the patients underwent 68Ga-NOTA-PRGD2 PET/CT and 18F- fluorodeoxyglucose (FDG) PET/CT scans within one week. The inclusion criteria were as follows: (1) age between 18 and 80 years, and (2) unilateral intracranial internal carotid, middle cerebral artery, or anterior cerebral artery stenosis of over 70% detected by magnetic resonance or computed tomography angiography (MRA or CTA), or of over 50% detected by digital subtraction angiography (DSA). The exclusion criteria were as follows: emboligenic cardiopathy, transient ischemic attack (TIA), or stroke within 30 days; neoplasm; inflammatory conditions; nonatherosclerotic causes of intracranial stenosis; pregnancy; lactation period; and impaired renal or liver function. None of the patients received stenting treatment. Patients who underwent PET/CT scans within 6 months (more than 1 month at the same time) of experiencing ischemic events, including transient ischemic attack and stroke, were assigned to the recent group; while those who underwent PET/CT scans 6 months after the ischemic events were assigned to remote group.

PET/CT scanning

68Ga-NOTA-PRGD2 was prepared as previously reported.21,28 68Ga-NOTA-PRGD2 was injected intravenously at a dose of 1.85 MBq (0.05 mCi) per kilogram of body weight (≤20 µg/NOTA-PRGD2). Thirty minutes later,3032 a low-dose CT scan (140 kV, 35 mA, pitch 1:1, layer 3 mm, layer spacing 3 mm, matrix 512×512, FOV 70 cm) was first performed for attenuation correction and anatomical localization. This was followed by PET scans (one 10-min bed position, FWHM 3 mm, matrix 336×336, zoom 2) using an iterative algorithm (six iterations for the brain). The reconstructed voxel dimension is 1 mm.

All patients underwent 18F-fluorodeoxyglucose (FDG) imaging within 1 week of the 68Ga-NOTA-PRGD2 PET imaging. Patients were required to fast for at least 6 h before the 18F-FDG PET/CT scan to decrease the background radionuclide uptake by the brain. For each patient, 5.55 MBq (0.15 mCi) of 18F-FDG per kilogram of body weight was injected intravenously. The PET/CT scans were acquired approximately 2 h after the 18F-FDG injection, with a 10-minute bed position maintained for the PET scans. All the PET/CT scans in this study were acquired on the Biograph 64 Truepoint TrueV PET/CT system (Siemens Medical Solutions, Erlangen, Germany).

Image analysis

The 68Ga-NOTA-PRGD2 and 18F-FDG PET/CT images were transferred to a workstation (MMWP, Siemens Medical Solution) for performing comparison and analysis. Three blinded independent nuclear medicine experts assessed the PET/CT images and reached a consensus in case of discordance. A semi-quantitative analysis was conducted by the same physicians. Only the maximum standardized uptake value (SUVmax) was recorded for the 68Ga-NOTA-PRGD2 PET images. The regions of interest (ROIs) were kept away from regions near the meningeal vessels and the choroid plexus in ventricle in three dimensions. The SUVmax of a symmetrical ROI in the contralateral region was measured, and the lesion-to-contralateral region ratio (LCR) was calculated. For the 18F-FDG PET images, the ROIs were drawn over the cortical territories or subcortical nuclei irrigated by the stenotic arteries, and the SUVmax values were recorded. The contralateral ROIs were drawn symmetrically.

Statistical analysis

The Kolmogorov–Smirnov test was used to test the normality of the distribution. The differences in the 68Ga-NOTA-PRGD2 SUVmax or 18F-FDG SUVmax were compared between the lesion and contralateral sides using the Wilcoxon rank sum test. The LCRs were compared between the recent and remote groups using the Mann–Whitney test. The same method was used to compare the LCRs between the stenotic and occlusive groups, as well as to qualify the infarction-positive and negative groups. All the statistical analyses were performed using Statistical Package for Social Sciences (SPSS), version 22.0, SPSS Inc., Chicago, USA. Results with p<0.05 were considered to be statistically significant.

Results

68Ga-NOTA-PRGD2 distribution and uptake patterns

The demographic information of the cohort is provided in Table 1. The 68Ga-NOTA-PRGD2 uptake was evaluated 30 min after the intravenous injection, when the blood pool background was relatively low. According to the independent analysis from the three nuclear medicine physicians, 68Ga-NOTA-PRGD2 uptake was identified in 18 out of the 21 patients. Except for the choroid plexus, the normal brain had no uptake of 68Ga-NOTA-PRGD2 (Figure 1(i) to (l). Abnormal 68Ga-NOTA-PRGD2 uptake aggregated in a patchy format around the site of infarction (Figure 1(a) to (d)), or in a puncta format in the periventricular zones and subcortical nuclei without a lesion, which must be irrigated by the stenotic arteries (Figure 1(e) to (h)).

Table 1.

Demographic characteristics.

Characteristic Value
No. 21
Age, mean (SD); y 52.6 (±15.2)
Male; n 19
Other medical illness; n
 Hypertension 11
 Diabetes mellitus 5
 Dyslipidemia 8
Smoking habit; n 8
Qualifying event; n (stroke/TIA) 14 (10/4)
Qualifying artery (occlusion/stenosis) 15/6
Intracranial ICA; n (occlusion/stenosis) 4 (3/1)
MCA; n (occlusion/stenosis) 16 (11/5)
ACA occlusion; n 1
Post-qualified event time interval; n (recent/remote) 14 (4/10)

SD: standard deviation; ICA: intracranial carotid artery; MCA: middle cerebral artery; ACA: anterior cerebral artery.

Figure 1.

Figure 1.

Upper row: CTA in a 64-year-old man revealed severe stenosis of the left middle cerebral artery (MCA) (a), brain CT showed left frontal lobe infarction (b). PET/CT scan showed accumulation of 68Ga-NOTA-PRGD2 around the infarct area (c) with a diffuse decrease in the metabolism (yellow arrow) in 18F-fluorodeoxyglucose (FDG) PET (d) 33 days after ischemic stroke. Middle row: A 44-year-old man had an ischemic stroke 72 months prior to enrolment, leaving numbness in his left arm. MRA revealed right MCA occlusion (e). No significant infarcts were seen on the MRI (f). The 68Ga-NOTA-PRGD2 uptake was found in a puncta-like form scattered over the subcortical areas (g, yellow arrow), although no significant difference for 18F-FDG PET was seen between the lesioned and contralateral sides (h). Lower row: A 70-year-old man had an ischemic stroke 22 years prior to enrolment, leaving weakness in the right leg. MRA showed left MCA occlusion (i). No infarct was observed on the MRI (J). The 68Ga-NOTA-PRGD2 PET and 18F-FDG PET uptakes were not significantly different between the lesioned and contralateral sides (k, l).

CTA: computed tomography angiography; PET: positron emission tomography; CT: computed tomography; MRI: magnetic resonance imaging; MRA: magnetic resonance angiography.

In patients with ICAD (N=21), the 68Ga-NOTA-PRGD2 SUVmax was elevated on the lesion side compared to that on the contralateral side, while the 18F-FDG SUVmax was significantly lower in the lesion side than in the contralateral side (Table 2).

Table 2.

Subgroup analysis of 68Ga-NOTA-PRGD2 and 18F-FDG PET imaging.

Group Total RGDmax
FDGmax
Lesion Contralateral p LCR Lesion Contralateral p LCR
Overall N=21 0.15 (0.05–0.64) 0.06 (0.03–0.11) 0.001 2.6 (0.75–10.67) 11.28 (2.73–21.11) 13.92 (6.44–26.77) 0.001 0.92 (0.21–10.05)
Qualifying infarction*
Yes N=7 0.17 (0.11–0.64) 0.06 (0.03–0.07) 0.017 3.00 (2.00–10.67) 5.52 (2.73–11.09) 13.92 (7.37–26.77) 0.018 0.53 (0.21–0.85)
No N=14 0.155 (0.06–0.29) 0.06 (0.03–0.11) <0.003 2.81 (1.50–4.00) 12.76 (5.79–21.11) 13.5 (6.44–21) 0.069 0.96 (0.87–1.05)
Severity of the qualifying artery
O N=15 0.16 (0.06–0.64) 0.06 (0.03–0.11) 0.001 3.00 (0.75–10.67) 11.09 (2.73–21.11) 14.37 (6.5–26.77) 0.005 0.92 (0.21–1.04)
S N=6 0.13 (0.06–0.21) 0.06 (0.05–0.10) 0.042 1.90 (1.00–2.63) 12.17 (4.96–16.23) 13.28 (6.44–18.69) 0.116 0.93 (0.36–1.05)
Months from qualifying event to PET scans**
<6 m N=4 0.24 (0.13–0.64) 0.05 (0.03–0.06) 0.125 6.73 (2.60–10.67) 6.53 (2.73–13.30) 14.15 (7.37–15.42) 0.125 0.47 (0.36–0.86)
>6 m N=10 0.14 (0.09–0.21) 0.06 (0.03–0.11) 0.007 2.36 (0.90–3.67) 11.19 (4.3–17.23) 12.47 (6.5–26.77) 0.017 0.89 (0.21–1.05)

LCR: lesion to contralateral ratio; O: occlusion; S: stenosis; FDGmax: maximum value of 18F-fluorodeoxyglucose; RGDmax: radiolabeled cyclic arginine-glycine-aspartic acid. The values in parentheses indicate the range for the data. *p<0.001, FDGmax LCR comparison between subjects with a qualifying infarction and those without infarction; **p=0.014 and p=0.052, RGDmax LCR and FDGmax LCR between the recent (<6 m) vs. remote (>6 m) groups, respectively.

Effects of the infarction lesion on radiotracer uptake

The subgroup analyses were performed by dividing the cohort into subgroups according to different parameters. The patients were divided into two groups according to the presence of the infarction lesion. In patients with an infarction lesion, the 18F-FDG SUVmax was lower on the stenotic/occlusive artery side compared to that on the contralateral side; in contrast, the 68Ga-NOTA-PRGD2 SUVmax was higher. In patients without the infarction lesion, the 68Ga-NOTA-PRGD2 SUVmax on the stenotic/occlusive side was higher than that on the contralateral side, while the SUVmax values for 18F-FDG were similar. The LCR of the 18F-FDG SUVmax in patients with an infarction lesion was lower than in patients without a lesion; the LCR of the 68Ga-NOTA-PRGD2 SUVmax was not significantly different between the two groups (Table 2).

Effects of the severity of the lesion on radiotracer uptake

According to the severity of the affected arteries, we divided the patients into the occlusive and stenotic groups (≥70% stenosis). There was no significant difference between the 18F-FDG SUVmax values for the lesion and contralateral sides in each group; however, both the groups had a higher 68Ga-NOTA-PRGD2 SUVmax value on the lesion side than that on the contralateral side. Moreover, the LCRs of both the 68Ga-NOTA-PRGD2 SUVmax and 18F-FDG SUVmax were similar between the occlusion and stenosis groups (Table 2).

Effects of the post-qualified event interval on radiotracer uptake

A total of 14 subjects had qualifying events; four of these patients were in the recent group and 10 patients were in the remote group. For the recent group, the 68Ga-NOTA-PRGD2 SUVmax on the lesion side is higher than that on the contralateral side; the 18F-FDG SUVmax was lower on the lesion side, but neither of them reached statistical significance. For the remote group, the 68Ga-NOTA-PRGD2 SUVmax and 18F-FDG SUVmax between the lesioned and contralateral sides were significantly different. The LCR of the 68Ga-NOTA-PRGD2 SUVmax in the recent group was higher compared to that of the remote group, and an opposite effect was observed for the LCR of the 18F-FDG SUVmax. However, only the former reached apparent significance (Table 2).

Discussion

The present study demonstrated an increased uptake of 68Ga-NOTA-PRGD2 on the lesion side compared to that on the contralateral side, which indicates that angiogenesis occurs in the territory irrigated by the stenotic/occlusive artery. Integrin αvβ3 imaging has been proved to be a valuable tool for angiogenesis assessment in various diseases by previous studies.13,28,29,33 The 68Ga-labeled RGD dimer, 68Ga-NOTA-PRGD2, has gained popularity for clinical application given its ease of preparation, in addition to its high specificity and affinity for integrin αvβ3.23,34 Jeong et al.29 showed that 68Ga-RGD could be blocked by cold RGD both in an in vitro binding assay and in an animal model, which demonstrated its specific binding to integrin αvβ3. Several clinical studies28,33 as well as our previous study35 found moderate uptake of 68Ga-NOTA-PRGD2 in the choroid plexus, but no uptake in the normal cerebral parenchyma. Therefore, the abnormal 68Ga-NOTA-PRGD2 uptake we observed in the cerebral parenchyma strongly suggested angiogenesis in patients with ICAD.

Angiogenesis as a crucial restorative mechanism under ischemic conditions and has been widely studied in acute ischemic diseases; however, few studies have investigated angiogenesis in chronic ischemia. Prior chronic cerebral hypoxia studies in animals and serum-based studies in patients with ICAD and moyamoya disease have indicated the occurrence of angiogenesis in chronic cerebral ischemia.1517 In this study, we directly imaged angiogenesis using 68Ga-NOTA-PRGD2 PET/CT beyond the acute phase in patients with severe ICAD. To the best of our knowledge, ours is the first study to evaluate the collateral circulation route at the level of angiogenesis in vivo. This approach may provide a new way for further assessment of collateral circulation in chronic intracranial artery disease.

Choi et al.29 were first to use 68Ga-RGD PET/CT to observe angiogenesis following acute cerebral infarct in pediatric patients with moyamoya disease. Next, Sun et al.28 applied 68Ga-RGD PET/CT to investigate angiogenesis in a different group of patients with acute embolic stroke. In this study, all the PET scans were performed more than 1 month after the qualifying events to avoid the influence of acute stroke on angiogenesis. Compared to the acute phase after stroke in previous studies, the uptake of 68Ga-NOTA-PRGD2 in chronic ICAD from our study is weaker. Moreover, the 68Ga-NOTA-PRGD2 uptake is not only limited to areas around the infarct zone, but also scatters over the region supplied by the affected artery in a puncta-like form. It is different from previous observations in patients with acute infarcts, according to which, the 68Ga-NOTA-PRGD2 uptake is significantly elevated surrounding the infarct and shows a patchy form. Furthermore, compared to patients without an infarction lesion, patients with lesions exhibited decreased LCR FDGmax values but similar LCR RGDmax values, which confirms that the 68Ga-NOTA-PRGD2 uptake in our cohort is not related to the presence of the lesion.

Many factors may affect angiogenesis process. In this study, we also compared patients with different post-qualified event time intervals, and found that the LCR RGDmax of the recent group was significantly higher than that of the remote group. This is consistent with the conclusion that angiogenesis decreases as the post-qualified event time increases in studies of angiogenesis in acute ischemic stroke.28,36 In addition, we also investigated whether the severity of the artery lesion affects the 68Ga-NOTA-PRGD2 uptake, and found that the LCR RGDmax values are similar between the occlusive and stenotic groups, which demonstrates that the angiogenesis detected by 68Ga-NOTA-PRGD2 is not associated with the severity of the artery lesion. A previous study has also shown that several patients with occlusive arteries never experience any ischemic event, and that chronic hemodynamic compromise, rather than the severity of the lesion in the arteries, may be a predictor of ischemic events in those patients.37 Combined with the results of that study, our results showing no difference in the 68Ga-NOTA-PRGD2 uptake between the occlusive and stenotic groups, also suggest that angiogenesis indicating hemodynamic impairment, rather than severity of the arterial lesion, has the potential to be a sensitive predictor of clinical outcomes of patients with ICAD. Finally, cerebrovascular risk factors, such as hypertension, diabetes, and hypercholesterolemia, are reported to have deleterious effects on post-ischemic angiogenesis.38 A larger sample size and more accurate grouping in future studies are needed to evaluate the impact of these confounding factors.

According to the findings of the study, we hypothesized that angiogenesis might be a biomarker reflecting the extent of compensation of collateral circulation in chronic ICAD. Prior studies have shown that angiogenesis can be induced by hypoperfusion in chronic cerebral ischemia.16,39 The status of cerebral perfusion might affect the process of angiogenesis in chronic ICAD. Further work is needed to identify the exact mechanism of angiogenesis in ICAD.

The evaluation of angiogenesis in patients with ICAD might provide more information about the prognosis and adaptation of treatment targeting angiogenesis. There has been a debate about the role of angiogenesis during stroke recovery for a long time.40,41 In patients with ICAD, angiogenesis in addition to collateral circulation could be beneficial for an improved clinical outcome by restoring the blood supply of areas irrigated by the lesioned arteries. It is equally true that angiogenesis may indicate insufficiency compensation of the collaterals, representing a bad prognosis, as it is deemed to be induced by hypoperfusion or ischemia. Therefore, further evaluation of the correlation between 68Ga-NOTA-PRGD2 and clinical outcome would be useful. In addition, therapies promoting angiogenesis have been seen to improve the outcomes of experimental stroke in mice, but the current results from clinical trials are not encouraging.38 With the application of molecular imaging of angiogenesis using 68Ga-NOTA-PRGD2 PET/CT, further trials with different therapeutic agents and routes of administration in ICAD would become more realizable.

This pilot study has some limitations as well. First, patient selection bias might exist due to the limited sample size and imbalanced men:women ratio. However, the manner in which we collected the data from the lesion side and the contralateral side from the same patient might minimize the impact of this bias. Considering there was no previous study using 68Ga-NOTA-PRGD2 PET/CT to explore angiogenesis in chronic ischemia, as well as the high of PET/CT-based applications, we need to obtain preliminary findings before planning a larger, prospective study. Second, we do not apply another radioactive tracer without integrin αvβ3-binding activity to exclude the influence of the blood brain barrier, considering safety issues as well as the fact that damage to the blood brain barrier is almost restored in patients with chronic ischemia. Third, the absence of a kinetic study is also an important limitation of this study. Several previous studies analyzed the biodistribution of the 68Ga-NOTA-RGD and showed that the nuclide uptake decreased rapidly during the first 30 min after injection and reached a plateau thereafter.3032,35,42 According to these studies, we performed the PET scans 30 min after injection; however, kinetic studies are needed in patient populations to explore the effects of specific binding and altered cerebral blood flow on timing of semiquantitative measures. Fourth, SUVmax analyzed in this study is inclined to be affected by noise signal, but considering the extremely low background uptake of 68Ga-NOTA-PRGD2, it is also not appropriate to choose SUVmean. Finally, it should be noted that this study concentrated on the collateral compensation in chronic ICAD. There might be other processes underlying 68Ga-NOTA-PRGD2 uptake, such as inflammation, but we found no evidence for inflammation on the 18F-FDG PET scans, which should show increased FDG uptake in the presence of inflammation. Further studies should also investigate pro- and anti-inflammatory cytokines in patients with 68Ga-NOTA-PRGD2 uptake. Despite its preliminary nature, this study can clearly and directly depict angiogenesis in the cerebral parenchyma of patients with chronic ICAD, and analyze potential factors that may have an influence on angiogenesis.

Conclusion

In conclusion, our study demonstrated angiogenesis in the chronic phase in patients with ICAD using 68Ga-NOTA-PRGD2 PET/CT imaging. To date, ours is the first study to evaluate the collateral circulation route in ICAD at the level of angiogenesis in vivo. 68Ga-NOTA-PRGD2 PET/CT imaging could be considered as a supplement in the evaluation of collateral compensation, in addition to the conventional methods used in ICAD. Further prospective studies are required in order to investigate angiogenesis among the different ICAD subgroups, as well as the relationship between angiogenesis and prognosis of patients with ICAD.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Natural Science Foundation of China projects [81471246], as well as the Beijing Natural Science Foundation [7152121].

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Authors’ contributions

Shi Shu was involved in the concept and design of the study, analysis, and interpretation of the data, and drafting and revising the manuscript. Li Zhang was involved in the analysis and interpretation of the data, as well as revising the manuscript. Yi Cheng Zhu was involved in the recruitment of the subjects. Fang Li supervised the study. Li Ying Cui was involved in study supervision and subject recruitment. Hao Wang, Yi Sun, and Pei Lin Wu were involved in the acquisition and analysis of the data, and administrative, technical, or material support. Zhao Hui Zhu was involved in study supervision, concept, and design of the study, technical support, interpretation of the data, and revising the manuscript. Bin Peng was involved in study supervision and obtaining funding, as well as in the concept and design of the study. Shi Shu, Li Zhang, Zhao Hui Zhu, and Bin Peng have contributed equally to this article.

References

  • 1.Wong KS. Global burden of intracranial atherosclerosis. Int J Stroke 2006; 1: 158–159. [DOI] [PubMed] [Google Scholar]
  • 2.Gorelick PB, Wong KS, Bae HJ, et al. Large artery intracranial occlusive disease: A large worldwide burden but a relatively neglected frontier. Stroke 2008; 39: 2396–2399. [DOI] [PubMed] [Google Scholar]
  • 3.Kasner SE, Chimowitz MI, Lynn MJ, et al. Predictors of ischemic stroke in the territory of a symptomatic intracranial arterial stenosis. Circulation 2006; 113: 555–563. [DOI] [PubMed] [Google Scholar]
  • 4.Kim JS, Nah HW, Park SM, et al. Risk factors and stroke mechanisms in atherosclerotic stroke: Intracranial compared with extracranial and anterior compared with posterior circulation disease. Stroke 2012; 43: 3313–3318. [DOI] [PubMed] [Google Scholar]
  • 5.Chen H, Hong H, Liu D, et al. Lesion patterns and mechanism of cerebral infarction caused by severe atherosclerotic intracranial internal carotid artery stenosis. J Neurol Sci 2011; 307: 79–85. [DOI] [PubMed] [Google Scholar]
  • 6.Martinon E, Lefevre PH, Thouant P, et al. Collateral circulation in acute stroke: Assessing methods and impact: A literature review. J Neuroradiol 2014; 41: 97–107. [DOI] [PubMed] [Google Scholar]
  • 7.Nishijima Y, Akamatsu Y, Weinstein PR, et al. Collaterals: Implications in cerebral ischemic diseases and therapeutic interventions. Brain Res 2015; 1623: 18–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Bang OY, Goyal M, Liebeskind DS. Collateral circulation in ischemic stroke: Assessment tools and therapeutic strategies. Stroke 2015; 46: 3302–3309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Liebeskind DS. Collateral circulation. Stroke 2003; 34: 2279–2284. [DOI] [PubMed] [Google Scholar]
  • 10.Liebeskind DS, Cotsonis GA, Saver JL, et al. Collaterals dramatically alter stroke risk in intracranial atherosclerosis. Ann Neurol 2011; 69: 963–974. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Liebeskind DS, Cotsonis GA, Saver JL, et al. Collateral circulation in symptomatic intracranial atherosclerosis. J Cereb Blood Flow Metab 2011; 31: 1293–1301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Choi JW, Kim JK, Choi BS, et al. Angiographic pattern of symptomatic severe M1 stenosis: Comparison with presenting symptoms, infarct patterns, perfusion status, and outcome after recanalization. Cerebrovasc Dis 2010; 29: 297–303. [DOI] [PubMed] [Google Scholar]
  • 13.Menezes LJ, Kotze CW, Agu O, et al. Investigating vulnerable atheroma using combined (18)F-FDG PET/CT angiography of carotid plaque with immunohistochemical validation. J Nucl Med 2011; 52: 1698–1703. [DOI] [PubMed] [Google Scholar]
  • 14.Massot A, Navarro-Sobrino M, Penalba A, et al. Decreased levels of angiogenic growth factors in intracranial atherosclerotic disease despite severity-related increase in endothelial progenitor cell counts. Cerebrovasc Dis 2013; 35: 81–88. [DOI] [PubMed] [Google Scholar]
  • 15.Hai J, Li S-T, Lin Q, et al. Vascular endothelial growth factor expression and angiogenesis induced by chronic cerebral hypoperfusion in rat brain. Neurosurgery 2003; 53: 963–972. [DOI] [PubMed] [Google Scholar]
  • 16.Jing Z, Shi C, Zhu L, et al. Chronic cerebral hypoperfusion induces vascular plasticity and hemodynamics but also neuronal degeneration and cognitive impairment. J Cereb Blood Flow Metab 2015; 35: 1249–1259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Oldendorf WH. Trhophic changes in the arteries at the base of the rat brain in response to bilateral common carotid ligation. J Neuropathol Exp Neurol 1989; 48: 534–547. [DOI] [PubMed] [Google Scholar]
  • 18.Sobrino T, Perez-Mato M, Brea D, et al. Temporal profile of molecular signatures associated with circulating endothelial progenitor cells in human ischemic stroke. J Neurosci Res 2012; 90: 1788–1793. [DOI] [PubMed] [Google Scholar]
  • 19.Backer MV, Backer JM. Imaging key biomarkers of tumor angiogenesis. Theranostics 2012; 2: 502–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Cai W, Guzman R, Hsu AR, et al. Positron emission tomography imaging of poststroke angiogenesis. Stroke 2009; 40: 270–277. [DOI] [PubMed] [Google Scholar]
  • 21.Li Z-B, Chen K, Chen X. 68Ga-labeled multimeric RGD peptides for microPET imaging of integrin αvβ3 expression. Eur J Nucl Med Mol 2008; 35: 1100–1108. [DOI] [PubMed] [Google Scholar]
  • 22.Jeong JM, Hong MK, Chang YS, et al. Preparation of a promising angiogenesis PET imaging agent: 68Ga-labeled c(RGDyK)-isothiocyanatobenzyl-1,4,7-triazacyclononane-1,4,7-triacetic acid and feasibility studies in mice. J Nucl Med 2008; 49: 830–836. [DOI] [PubMed] [Google Scholar]
  • 23.Lang L, Li W, Guo N, et al. Comparison study of [18F]FAl-NOTA-PRGD2, [18F]FPPRGD2, and [68Ga]Ga-NOTA-PRGD2 for PET imaging of U87MG tumors in mice. Bioconjug Chem 2011; 22: 2415–2422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Dijkgraaf I, Yim C-B, Franssen GM, et al. PET imaging of αvβ3 integrin expression in tumors with 68Ga-labelled mono-, di- and tetrameric RGD peptides. Eur J Nucl Med Mol 2011; 38: 128–137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Hodivala-Dilke K. alphavbeta3 integrin and angiogenesis: A moody integrin in a changing environment. Curr Opin Cell Biol 2008; 20: 514–519. [DOI] [PubMed] [Google Scholar]
  • 26.Niu G, Chen X. Why integrin as a primary target for imaging and therapy. Theranostics 2011; 1: 30–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Carmeliet P, Jain RK. Molecular mechanisms and clinical applications of angiogenesis. Nature 2011; 473: 298–307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Sun Y, Zeng Y, Zhu Y, et al. Application of (68)Ga-PRGD2 PET/CT for alphavbeta3-integrin imaging of myocardial infarction and stroke. Theranostics 2014; 4: 778–786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Choi HY, Paeng JC, Kim SK, et al. Imaging of integrin avb3 expression using 68Ga-RGD positron emission tomography in pediatric cerebral infarct. Mol Imag 2013; 12: 213–217. [PubMed] [Google Scholar]
  • 30.Paeng JC, Lee YS, Lee JS, et al. Feasibility and kinetic characteristics of (68)Ga-NOTA-RGD PET for in vivo atherosclerosis imaging. Ann Nucl Med 2013; 27: 847–854. [DOI] [PubMed] [Google Scholar]
  • 31.Kim JH, Kim YH, Kim YJ, et al. Quantitative positron emission tomography imaging of angiogenesis in rats with forelimb ishemia using 68Ga-NOTA-c(RGDyK). Angiogenesis 2013; 16: 837–846. [DOI] [PubMed] [Google Scholar]
  • 32.Kim JH, Lee JS, Kang KW, et al. Whole-body distribution and radiation dosimetry of (68)Ga-NOTA-RGD, a positron emission tomography agent for angiogenesis imaging. Cancer Biother Radiopharm 2012; 27: 65–71. [DOI] [PubMed] [Google Scholar]
  • 33.Minamimoto R, Jamali M, Barkhodari A, et al. Biodistribution of the (1)(8)F-FPPRGD(2) PET radiopharmaceutical in cancer patients: An atlas of SUV measurements. Eur J Nucl Med Mol 2015; 42: 1850–1858. [DOI] [PubMed] [Google Scholar]
  • 34.Guo N, Lang L, Li W, et al. Quantitative analysis and comparison study of [18F]AlF-NOTA-PRGD2, [18F]FPPRGD2 and [68Ga]Ga-NOTA-PRGD2 using a reference tissue model. PloS One 2012; 7: e37506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Zheng K, Liang N, Zhang J, et al. 68Ga-NOTA-PRGD2 PET/CT for integrin imaging in patients with lung cancer. J Nucl Med 2015; 56: 1823–1827. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ergul A, Alhusban A, Fagan SC. Angiogenesis: A harmonized target for recovery after stroke. Stroke 2012; 43: 2270–2274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Yamauchi H, Higashi T, Kagawa S, et al. Chronic hemodynamic compromise and cerebral ischemic events in asymptomatic or remote symptomatic large-artery intracranial occlusive disease. Am J Neuroradiol 2013; 34: 1704–1710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Silvestre JS, Smadja DM, Levy BI. Postischemic revascularization: From cellular and molecular mechanisms to clinical applications. Physiol Rev 2013; 93: 1743–1802. [DOI] [PubMed] [Google Scholar]
  • 39.Harik SI, Hritz MA, LaManna JC. Hypoxia-induced brain angiogenesis in the adult rat. J Physiol 1995; 485: 525–530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Manoonkitiwongsa PS, Jackson-Friedman C, McMillan PJ, et al. Angiogenesis after stroke is correlated with increased numbers of macrophages: The clean-up hypothesis. J Cereb Blood Flow Metab 2015; 21: 1223–1231. [DOI] [PubMed] [Google Scholar]
  • 41.Ma Y, Zechariah A, Qu Y, et al. Effects of vascular endothelial growth factor in ischemic stroke. J Neurosci Res 2015; 90: 1873–1882. [DOI] [PubMed] [Google Scholar]
  • 42.Eo JS, Paeng JC, Lee S, et al. Angiogenesis imaging in myocardial infarction using 68Ga-NOTA-RGD PET: Characterization and application to therapeutic efficacy monitoring in rats. Coronary Artery Dis 2013; 24: 303–311. [DOI] [PubMed] [Google Scholar]

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