Introduction
Atherosclerosis is the pathological basis of cardiovascular disease. Unstable atherosclerotic plaque rupture, platelet aggregation and thrombosis lead to narrowing or occlusion of blood vessels, resulting in acute cardiovascular disease [1, 2], and it is one of the most common causes of death in the elderly. Because inflammation plays an important role in all stages of the atherosclerotic process [3], atherosclerosis is also considered to be a chronic inflammatory disease [4]. PET imaging can use biological processes to characterize high-risk features of atherosclerotic plaques that are prone to rupture. [18F]-fluorodeoxyglucose (18F-FDG) is the most commonly used radiotracer in vascular studies and can be used as a surrogate marker of plaque inflammation. However, the clinical application of 18F-FDG is somewhat limited. 18F-FDG can be taken up extensively by glucose-metabolizing cells. Structures such as the myocardium and neck can take up 18F-FDG in large amounts, which makes it difficult to accurately assess tracer uptake in the coronary arteries [5]. Therefore, the development of an alternative PET tracer with high specificity for arterial inflammation became necessary. Inflammatory cells overexpress the chemokine receptor type 4 (CXCR4), and 68Ga-Pentixafor is a novel PET tracer with high affinity and selectivity for CXCR4 [6]. Hyafil et al. reported 68Ga-Pentixafor a promising PET radiotracer that can be used to identify macrophage infiltration present in high-risk atherosclerotic plaques [7]. Therefore, we aimed to perform a qualitative synthesis of evidence on the role of 68Ga-Pentixafor PET in atherosclerosis.
Materials and methods
The study strictly followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) guidelines, and the registration number on PROSPERO is CRD42023388079.
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Search strategy
PubMed and Embase databases were searched with a search time frame of build to 2022-12-26. Due to the small amount of published literature on Pentixafor, a single search term “Pentixafor” was used for a more comprehensive search of the literature related to 68Ga-Pentixafor PET assessment of atherosclerotic lesions. The literature on 68Ga-Pentixafor PET assessment of atherosclerotic lesions was then screened one by one. A manual supplemental search was also performed for all references in the included literature.
Inclusion and exclusion criteria
Inclusion criteria
The literature was included in this study according to the principle of “PICOS”. (1) “Patients” with atherosclerosis; (2) 68Ga-Pentixafor PET as “intervention”; (3) 18F-FDG PET as a “comparator”; (4) Imaging results and clinical correlation as “outcomes” (Indicators of imaging results include site, amount, and the target-to-background ratios (TBR) of tracer uptake, agreement and correlation analysis of the two tracer uptakes); (5) Prospective or retrospective original research as “study type”.
Inclusion criteria
(1) Other types of publications, including conference abstracts, reviews, review articles, editorials and letters, etc.; (2) Articles with incomplete information and unable to extract valid data; (3) Literature with different research purposes; (4) Repeated publications.
Literature screening and data extraction
Two investigators independently screened the literature in the order of title, abstract, and full text, and independently extracted basic information about the included literature, including first author, year of publication, country, study type, disease population, age, sample size, and outcome indicators, according to a pre-designed data extraction form. If relevant data were missing in the included literature, the corresponding authors were contacted by e-mail to obtain the data. When 2 investigators disagreed, this was resolved by discussion or consultation with the corresponding authors of this article.
Quality evaluation
Two authors independently evaluated each study using the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies) tool [8], and discrepancies were discussed and resolved by consensus with a third reviewer. The tool includes four domains: case selection, index testing, reference standard, process, and time. Each method was assessed according to the risk of bias, and the first three were also assessed according to questions of applicability. Each question is answered with “yes”, “no”, and “unclear”, and the degree of risk of bias can be judged as “low risk “, “high risk”, or “unclear risk”. Finally, the risk of bias for each included study was assessed using ReviewManager 5.4 software, and the risk of bias was plotted.
Statistical processing
The database was created with Microsoft Excel 2021 software, entered in pairs, and proofread. When combining data, if 2 or more papers reported the same outcome indicator, Meta-analysis was performed using STATA17.0. The odds ratio (OR) and its 95% confidence interval (CI) were used for statistical data, and the mean difference (MD) and its 95% CI were used for measurement data. Conversely, only descriptive analyses of outcome indicators were performed when Meta-analysis was not feasible due to the reporting of outcome indicators in a single paper or heterogeneity among study populations.
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Results
Literature screening results
The first 478 papers were detected, including 150 papers in PubMed and 328 papers in Embase. After reading the titles and abstracts, 201 publications were removed, including conference abstract (n = 136), case (n = 20), editorial (n = 6), letter (n = 1), review (n = 31), note (n = 2) and 5 other publications. Excluding 56 papers with incompatible study subjects, including neuroendocrine tumours (n = 4), multiple myeloma (n = 13), lung cancer (n = 7), glioblastoma (n = 2), lymphoma (n = 18), myocardial infarction (n = 6), primary aldosteronism (n = 5), and Cushing’s syndrome (n = 1). Excluding 79 papers with different study purposes and duplicate publications. Further reading of the full text excluded 8 papers without clinical outcomes and was unable to extract valid data. After the screening process, 6 studies were finally included [9‐14]. The flow of the included literatures is shown in Fig. 1.
Fig. 1
PRISMA flow chart included in the literature
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Basic characteristics of included studies and quality evaluation results
Of the 6 included papers, 3 were prospective studies and 3 were retrospective studies. For the subject population, two studies were single subjects and four studies were non-single subjects. Subjects mainly include oncologic patients, patients with infection, etc. Cardiovascular risk factors included in the study included smoking, hypertension, dyslipidemia, diabetes, C-reactive protein (CRP) (≥ 3 mg/L), obesity, family history of cardiovascular disease and history of cardiovascular diseases. One study [10] reported only imaging outcome metrics and 5 studies [9, 11‐14] reported imaging outcome metrics and clinical correlation metrics. Lawal et al. [10] reported imaging outcome indicators of atherosclerotic lesion uptake of 68Ga-Pentixafor and 18F-FDG; Lu et al. [9] reported imaging outcome indicators of lesion uptake of 68Ga-Pentixafor and 18F-FDG and correlation indicators of tracer uptake with cardiovascular risk factors; Kircher et al. [11] reported imaging outcome indicators of lesion uptake of 68Ga-Pentixafor and 18F-FDG and correlation indicators of tracer uptake with plaque calcification; Li et al. [12, 13] reported imaging outcome indicators of lesion uptake of 68Ga-Pentixafor and correlation indicators of tracer uptake with cardiovascular risk factors; Weiberg et al. [14] reported imaging outcome indicators of lesion uptake 68Ga-Pentixafor and also reported correlation indicators of tracer uptake with cardiovascular risk factors, correlation indicators of tracer uptake with plaque calcification and correlation indicators of cardiovascular risk factors with plaque calcification. The basic characteristics of the included studies are shown in Table 1.
Table 1
The basic characteristics of the included studies
Author | Year | The country of the subject | Prospective | Age | BMI (kg/m2) | Time interval | Subject population | CRF | Patients (M/F) | Imaging device |
|---|---|---|---|---|---|---|---|---|---|---|
Lu [9] | 2022 | Austria a | N | 68 ± 10 | 27.1 | 1 W | Lymphoma | Smoking, Hypertension, Dyslipidemia, Diabetes, CRP(≥ 3 mg/L) | 19(11/8) | PET/ MRI |
Lawal [10] | 2020 | SouthAfrica | Y | 44.67 ± 7.62 | 24.18 ± 3.45 | 2 D | HIV-infected | Smoking, Hypertension, Diabetes, Family history of CVD | 12(4/8) | PET/ CT |
Kircher [11] | 2020 | Germany | N | 62 ± 10 | 26 | 3 D | Multiple Myeloma Adrenocortical Cancer Neuroendocrine Tumour Non-Small Cell Lung Cancer Pleuramesothelioma Lymphoma Stomach Cancer Hepatocellulary-Carcinoma T-Cell Non-Hodgkin Lymphoma Small Cell Lung Cancer Pancreatic Cancer Thyroid Cancer Diffuse Large B-cell Lymphoma | Smoking, Hypertension, Diabetes, CRP(≥ 3 mg/L), Obesity, History of CVD | 92(55/37) | PET/ CT |
Li [12] | 2019 | Austria China | Y | 61.8 ± 12.7 | 26.8 ± 4.0 | NR | Mucosa-associated lymphoid tissue (MALT) lymphoma | Smoking, Hypertension, Dyslipidemia, Diabetes | 72(45/27) | PET/ MRI |
Li [13] | 2018 | NR | Y | 67 ± 11 | 26 ± 4 | 3 W | Lymphoma Pancreatic cancer | Smoking, Hypertension, Dyslipidemia, Diabetes, Family history of CVD, History of CVD | 34(17/17) | PET/ MRI |
Weiberg [14] | 2018 | Germany | N | 59.5 ± 16.2 | NR | NR | Interstitial lung disease Sarcoidosis Complicated urinary tract infection Leukemia Miscellaneous | Smoking, Hypertension, Dyslipidemia, Diabetes, History of CVD | 51(39/12) | PET/ CT |
Quality evaluation was performed with the QUADAS-2 tool. Risk of bias: for case selection, 5 studies [9‐11, 13, 14] were medium risk, with the main risk arising from continuity or randomization of patient inclusion; for trials to be evaluated, 1 study [13] was high risk and 5 studies [9‐12, 14] were medium risk, with the main risk arising from the implementation of blinding and the determination of thresholds; for gold standard 4 studies [10, 12‐14] were medium risk, with the main risk arising from the implementation of the blinding method; for case, flow and progression, 2 studies [12, 13] were high risk and 1 study [14] was a medium risk, with the main risk arising from the completeness of the case inclusion analysis and the appropriate interval. All studies had a low risk of clinical applicability. The quality assessment of the included literature is shown in Fig. 2 (a) (b).
Fig. 2
A Quality evaluation results of included documents. B Quality evaluation results of included documents
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Systematic evaluation results
Limited by clinical heterogeneity with different reported outcome indicators, among other reasons, only descriptive analysis was performed in this study. (The comparison between 68Ga-Pentixafor and 18F-FDG is presented in Table 2. The abstracts of the included literatures are shown in Table 3).
Table 2
Analysis of imaging results of tracer uptake in atherosclerotic lesions
Author | 68Ga -Pentixafor PET
| 18 F-FDG PET
|
|---|---|---|
Lu [9] | lesion-based analysis: number 88%,TBR 1.9 patient-based analysis TBR 1.85 ± 0.20 | lesion-based analysis: number 48%,TBR 1.63 ± 0.29 patient-based analysis TBR 1.42 ± 0.19 |
Lawal [10] | NR | early aorta: TBR 1.76 ± 0.3 late aorta: TBR 2.76 ± 0.52 early carotid artery: TBR 1.51 ± 0.38 late carotid artery: TBR 2.38 ± 0.66 |
Kircher [11] | lesion-based analysis: TBR 1.8 ± 0.5 patient-based analysis number 4(0–13), TBR 1.8 ± 0.30 | lesion-based analysis: TBR 1.4 ± 0.4 patient-based analysis number 1(0–10), TBR 1.4 ± 0.30 |
Li [12] | group 1: TBRmax 1.29 ± 0.21 group 2: TBRmax 1.57 ± 0.27 group 3: TBRmax 1.64 ± 0.37 group 4: TBRmax 1.55 ± 0.26 | NR |
Li [13] | descending aorta: number 225, TBRmax 1.9 ± 0.4 abdominal aorta: number 168, TBRmax 1.9 ± 0.4 aortic arch: number 83, TBRmax 1.8 ± 0.2 common carotid artery: number 74, TBRmax 1.7 ± 0.3 ascending aorta: number 61, TBRmax 1.7 ± 0.2 | NR |
Weiberg [14] | right common carotid artery: number 49, TBR 1.7 ± 0.4 left common carotid artery: number 55, TBR 1.6 ± 0.4 thoracic aorta: number 339, TBR 1.9 ± 0.4 abdominal aorta: number 369, TBR 2.1 ± 0.6 right iliac artery: number 115, TBR 1.9 ± 0.4 left iliac artery: number 115, TBR 2.0 ± 0.5 right femoral artery: number 180, TBR 1.9 ± 0.5 left femoral artery: number 189, TBR 2.1 ± 0.6 | NR |
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Table 3
Abstracts of included documents
Author | Abstract |
|---|---|
Lu [9] | Objective: This study compared 68Ga-Pentixafor uptake in active arterial segments with corresponding 18F-FDG arterial uptake as well as the relationship with cardiac 68Ga-Pentixafor uptake. Conclusion: 68Ga-Pentixafor PET/MRI identified many more lesions than 18F-FDG PET/MRI. Patients with high-risk cardiovascular factors illustrated an increased uptake of 68Ga-Pentixafor. There was a correlation between the elevated uptake of 68Ga-Pentixafor in the active arterial segments and heart. |
Lawal [10] | Objective: In this study we aimed to perform a head-to-head comparison of 18F-FDG PET/CT and 68Ga-Pentixafor PET/CT for quantification of arterial inflammation in PLHIV. Conclusion: We found a high level of agreement in the quantification variables obtained using 18F-FDG PET and 68Ga-Pentixafor PET. There is a good level of agreement in the arterial tracer quantification variables obtained using 18F-FDG PET/CT and 68Ga-Pentixafor PET/CT in PLHIV. This suggests that 68Ga-Pentixafor may be applied in the place of 18F-FDG PET/CT for the quantification of arterial inflammation. |
Kircher [11] | Objective: 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. 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. |
Li [12] | Objective: We aimed to evaluate 68Ga-Pentixafor PET in combination MRI for in vivo quantification of CXCR4 expression in carotid plaques. Conclusions: In vivo evaluation of CXCR4 expression in carotid atherosclerotic lesions is feasible using 68Ga-Pentixafor PET/MRI. In atherosclerotic plaque tissue, CXCR4 expression might be used as a surrogate marker for inflammatory atherosclerosis. |
Li [13] | Objective: We sought to evaluate human atherosclerotic lesions using 68Ga-Pentixafor PET/MRI. Conclusion: Patients with high arterial uptake showed increased incidence of cardiovascular risk factors, suggesting apotential role of 68Ga-Pentixafor in characterization of atherosclerosis. |
Weiberg [14] | Objective: The aim of this study was to assess the prevalence, pattern, and clinical correlates of arterial wall accumulation of 68Ga-Pentixafor, a specific CXCR4 ligand for PET. Conclusion: 68Ga-Pentixafor PET/CT is suitable for non-invasive, highly specific PET imaging of CXCR4 expression in the atherosclerotic arterial wall. Arterial wall 68Ga-Pentixafor uptake is significantly associated with surrogate markers of atherosclerosis, and is linked to the presence of cardiovascular risk factors. 68Ga-Pentixafor signal is higher in patients with a high-risk profile, and may hold promise for identification of vulnerable plaque. |
Analysis of imaging results of tracer uptake in atherosclerotic lesions
Lu et al. [9] retrospectively analyzed 19 patients with lymphoma, and in a lesion-based analysis, 68Ga-Pentixafor PET detected more lesions than 18F-FDG PET (88% vs. 48%, p < 0.001) and showed higher uptake than 18F-FDG PET (TBR: 1.90 ± vs. 1.63 ± 0.29, p < 0.001); 68Ga-Pentixafor uptake was also significantly higher than 18F-FDG in patient-based analysis (TBR: 1.85 ± 0.20 vs. 1.42 ± 0.19, p < 0.001). Lawal et al. [10] prospectively included 12 AIDS patients and performed 68Ga-Pentixafor PET and 18F-FDG PET imaging of the patients. For analysis of 18F-FDG PET imaging, TBR was elevated and statistically significant on delayed scans of both aorta (early: 1.76 ± 0.3, delayed: 2.76 ± 0.52, t: -5.738, p < 0.001) and carotid artery (early: 1.51 ± 0.38, delayed: 2.38 ± 0.66, t: -4.741, p = 0.001). significance. Correlation analysis of the two imaging modalities showed a positive correlation between the TBR of the early aorta (r = 0.344, p = 0.274), late aorta (r = 0.225,p = 0.483), early carotid artery (r = 0.123, p = 0.704) and late carotid artery (r = 0.295, p = 0.352), but neither reached statistical significance. Analysis of the agreement between the two imaging modalities showed good agreement between the two imaging modalities, and the degree of agreement was higher for early scans than for delayed scans. Kircher et al. [11] retrospectively analyzed a total of 652 lesions detected in 92 patients, and for each patient, the median number of positive lesions was 4 (0–13) for 68Ga-Pentixafor PET compared to 1 (0–10) for 18F-FDG PET, and the number of positive lesions for 68Ga-Pentixafor PET correlated moderately with 18F-FDG PET-positive lesion (r = 0.46, P < 0.0001); the mean TBR of 68Ga-Pentixafor PET was significantly higher than that of 18F-FDG PET (1.8 ± 0.5 vs. 1.4 ± 0.4, P < 0.01), and the 68Ga-Pentixafor PET and 18F-FDG PET TBR showed a weak positive correlation; based on patient analysis, individual mean TBR was significantly higher for 68Ga-Pentixafor PET than for 18F-FDG PET (1.8 ± 0.3 vs. 1.4 ± 0.3, P < 0.001 ), and there was a modest correlation (r = 0.36, P < 0.001). Li et al. [12] analyzed 72 patients and grouped them, showing that patients in group 1 (non-eccentric carotid atherosclerotic lesions, n = 27, TBRmax = 1.29 ± 0.21) had significantly lower 68Ga-Pentixafor uptake than those in group 2 (mild eccentric carotid atherosclerotic lesions, n = 67, TBRmax = 1.57 ± 0.27), group 3 (moderate eccentric atherosclerotic carotid lesions, n = 41, TBRmax = 1.64 ± 0.37) and group 4 (severe eccentric atherosclerotic carotid lesions, n = 19, TBRmax = 1.55 ± 0.26) (p < 0.05), whereas between groups 2, 3 and 4 68Ga-Pentixafor uptake were not statistically different. Li et al. [13] included 34 patients in the study and 68Ga-Pentixafor PET detected a total of 611 (TBRmax = 1.8 ± 0.4) lesions, with the descending aorta being the vessel segment with the highest number of lesions and strongest tracer uptake (n = 225, TBRmax = 1.9 ± 0.4), followed by the abdominal aorta (n = 168, TBRmax = 1.9 ± 0.4), aortic arch (n = 83, TBRmax = 1.8 ± 0.2), common carotid artery (n = 74, TBRmax = 1.7 ± 0.3) and ascending aorta (n = 61, TBRmax = 1.7 ± 0.2). Weiberg et al. [14] retrospectively analyzed a total of 1411 (TBR = 2.0 ± 0.5) lesions in 51 patients with the following uptake characteristics: right common carotid artery (n = 49, TBR = 1.7 ± 0.4), left common carotid artery (n = 55, TBR = 1.6 ± 0.4), thoracic aorta (n = 339, TBR = 1.9 ± 0.4), abdominal aorta (n = 369, TBR = 2.1 ± 0.6), right iliac artery (n = 115, TBR = 1.9 ± 0.4), left iliac artery (n = 115, TBR = 2.0 ± 0.5), right femoral artery (n = 180, TBR = 1.9 ± 0.5), and left femoral artery (n = 189, TBR = 2.1 ± 0.6).
Clinical correlation analysis of tracer uptake in atherosclerotic lesions
Lu et al. [9] retrospectively analyzed the relationship between tracer uptake and cardiovascular risk factors in 19 patients with lymphoma and showed that comparing the high-risk group (n = 9) with cardiovascular risk factors to the low-risk group (n = 10), TBR was significantly increased in active lesions of 68Ga-Pentixafor (2.02 ± 0.15 vs. 1.86 ± 0.10, p = 0.015), but this was not found for 18F-FDG (1.85 ± 0.10 vs. 1.80 ± 0.07, p = 0.149). Kircher et al. [11] analyzed the relationship between tracer uptake and plaque calcification in 92 patients and found an inverse relationship between the degree of plaque calcification and the intensity of uptake of both tracers (as measured by TBR), with non-calcified lesions (n = 467) showing the highest TBR values for both tracers (1.9 ± 0.4 and 1.5 ± 0.4, respectively), mildly calcified lesions (n = 99) showed higher TBR values for both (1.7 ± 0.4 and 1.3 ± 0.3, respectively, P < 0.01), while severely calcified lesions (n = 86) showed the lowest TBR values (1.4 ± 0.6 and 1.1 ± 0.4, respectively). TBR was higher in 68Ga-Pentixafor PET than in 18F-FDG PET when analyzing different subgroups of calcification. Li et al. [12] analyzed 72 patients and found a significant correlation between 68Ga-Pentixafor uptake (TBRmax) and the prevalence of hypertension (Pearson’s r = 0.27/ Pearson’s r r = 0.35, p < 0.05), and there was a significant correlation between the prevalence of type II diabetes mellitus (Pearson’s r = 0.27/ Pearson’s r r = 0.35, p < 0.05). Li et al. [13] analyzed the correlation between tracer intake and cardiovascular risk factors. The results showed that in patients with TBR > 1.7, patients with diabetes, hypercholesterolemia, and cardiovascular history accounted for 27.3%, 36.4%, and 36.4% respectively, while in patients with TBR ≤ 1.7, patients with diabetes, hypercholesterolemia and cardiovascular history only accounted for 0%, 8.3%, and 8.3%. (P < 0.05) This shows that when TBR > 1.7, the high-risk group of cardiovascular risk factors is more likely to appear. At the same time, by comparing and analyzing the TBR values of patients in a high-risk group and a low-risk group of cardiovascular risk factors, the results showed that the TBR values in the high-risk group were significantly higher than those in the low-risk group (1.9 ± 0.3 vs. 1.7 ± 0.2, p < 0.05). Weiberg et al. [14] retrospectively analyzed 51 patients and found significant correlations between the number of cardiovascular risk factors and the number of calcified plaques (r = 0.46, P = 0.0007), the number of lesions with tracer ingestion (r = 0.70, P < 0.0001) and TBR (r = 0.36, P = 0.009). Univariate regression analysis showed significant correlations between the number of lesions for tracer uptake and age at risk (r = 0.60, P < 0.0001), arterial hypertension (r = 0.56, P < 0.0001), hypercholesterolemia (r = 0.47, P = 0.0005), smoking history (r = 0.35, P = 0.01), and previous vascular events (r = 0.47, P = 0.0004); multiple regression analysis showed that age at risk (r = 0.50, P = 0.0003), arterial hypertension (r = 0.52, P = 0.0001), and smoking history (r = 0.36, P = 0.01) were all independently associated with atherosclerotic lesions. There was a statistically significant association between the number of lesions ingested with tracer and calcified plaque burden (r = 0.67, P < 0.0001), maximum plaque thickness (r = 0.56, P < 0.0001), and calcification score (r = 0.69, P < 0.0001), all of which described different aspects of the degree of arterial calcification. Also, there was a significant correlation between calcified plaque burden and age at risk (r = 0.51, P = 0.0001), arterial hypertension (r = 0.37, P = 0.008), and prior vascular events (r = 0.46, P = 0.0008); multiple regression analysis showed that calcified plaque burden was associated with age at risk (r = 0.49, P = 0.0003) and prior vascular events (r = 0.38, P = 0.008) were independently associated.
Discussion
Atherosclerosis is a chronic systemic disease in which inflammation is a dynamic trigger for progression [15‐17]. Progressive systemic enlargement of atherosclerotic plaques leads to a range of debilitating cardiovascular diseases, including peripheral arterial disease, ischemic stroke, coronary artery disease, and acute myocardial infarction [18]. These diseases are the leading cause of morbidity and mortality in the United States and worldwide [19‐21]. Conventional imaging examinations (including ultrasound, CT, and MRI angiography) have limited ability to assess the early stages of atherosclerosis [22, 23]. Therefore, molecular imaging offers an attractive opportunity to examine the pathological features of atherosclerotic disease at the microscopic level [24]. Studies have suggested that 68Ga-Pentixafor may be a potential imaging molecule for atherosclerosis, but the use of 68Ga-Pentixafor PET for imaging atherosclerotic lesions is not yet widely used in clinical practice due to the lack of evidence-based medical evidence.
To further clarify the role of 68Ga-Pentixafor PET in atherosclerotic, we aimed to perform a qualitative synthesis of evidence on the role of 68Ga-Pentixafor PET in atherosclerosis for the first time. The results of this study found that 68Ga-Pentixafor PET has better imaging results than 18F-FDG PET and can overcome some limitations of 18F-FDG PET imaging, and may be able to replace 18F-FDG PET for atherosclerosis imaging in the future. In addition, there is a clear clinical correlation between cardiovascular risk factors, tracer uptake and plaque calcification.
Specifically, a comparative analysis of imaging results between 68Ga-Pentixafor PET and 18F-FDG PET revealed good agreement and correlation between the two imaging modalities, and higher uptake of tracers (both in terms of quantity and intensity of uptake) by patients and lesions with 68Ga-Pentixafor PET compared to 18F-FDG PET. In addition, it was found that the uptake of tracers was higher in eccentric carotid atherosclerotic lesions than in non-eccentric carotid atherosclerotic lesions. In terms of clinical correlation, the uptake of tracers (both quantity and TBR) by patients and lesions increased with the number of cardiovascular risk factors in patients, the number of plaque calcifications increased with the number of cardiovascular risk factors, and the uptake of tracers by lesions decreased instead with the increased burden of plaque calcification, suggesting a positive correlation between cardiovascular risk factors and tracer uptake and plaque calcification; whereas a negative correlation existed between tracer uptake and the degree of plaque calcification.
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Atherosclerosis is a global health problem. Although some progress has been made in understanding the complex underlying biology of atherosclerosis, we still need radioactive tracers targeting molecular changes in vulnerable plaques to identify vulnerable plaques and prevent adverse events. At present, the diagnostic localization of 68Ga-Pentixafor still needs to be improved. Bartlett et al. [25] summarized the efficacy of various radioactive tracers for PET imaging in plaque characterization and risk assessment. This study thought that further elucidating the potential biological mechanism of CXCR4 would help to improve the understanding of the clinical application of this radioactive tracer. In addition, an accurate estimate of the tracer uptake in vascular lesions is extremely challenging given the small size of the lesions compared to the spatial resolution of PET. Some studies [26, 27] have shown that vascular inflammation imaging with 18F-FDG PET requires optimized imaging conditions. The research results of Lawal et al. [28] have shown that vascular quantification can be improved by increasing the uptake of vascular tracers and improving the clearance of blood-pool background activity. Therefore, a set of standard imaging protocols and quantitative methods is very important for molecular imaging of vascular inflammation.Some limitations remain in this study. First, given the relative novelty of the Pentixafor tracer, only a few studies (n = 6) were available for review. Some of them were conducted by the same study group and possible overlap of patient data cannot be excluded exclusively based on the information reported in the manuscript. In addition, most studies included a different population of subjects. The TBR values defining positive atherosclerotic lesions in the included studies were not all the same. All of the above factors could be sources of heterogeneity in this study. Due to the limitations of clinical heterogeneity and different outcome indicators, only a descriptive analysis was performed in this study, and a large number of prospective randomized studies are needed in the future to further validate the clinical utility of 68Ga-Pentixafor PET application in atherosclerosis.
Conclusion
In this study, a systematic evaluation of 68Ga-Pentixafor PET for atherosclerosis imaging was performed. The results showed that 68Ga-Pentixafor PET has a good imaging effect on atherosclerotic lesions, and it is a promising imaging modality that may replace 18F-FDG PET for atherosclerosis imaging in the future. In patients with atherosclerosis, there is a clear clinical correlation between cardiovascular risk factors, tracer uptake, and plaque calcification.
Acknowledgements
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Declarations
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Consent for publication
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Competing interests
The authors declare no competing interests.
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