The role of 18FDG PET/CT imaging of aortic atherosclerosis: prospective study and technique optimization

Abstract

Background

Atherosclerosis is an inflammatory disease of the inner wall of large and medium-sized arteries. The progress of atherosclerosis based on a lot of factors, including systemic involvement of disease, the precise vascular arterial affection, and the degree of flow obstruction. We aim in this study to estimate the FDG uptake of the aortic wall in the early and delayed imaging and to correlate this with the morphologic changes detected by CT.

Results

This is a prospective study that was performed through 1 year. The study included 50 patients [30 males (60%) and 20 females (40%)] with male to female mean ratio 1.5:1 and their mean age 58.3 ± 15.7 years. Each patient underwent dual time-point 18F-FDG PET CT imaging at ~ 60 min (Early images) and 180 min (delayed images) after the administration of 18F-FDG. For each patient, the global 18F-FDG uptake in the aorta was determined by manually drawing regions of interest (ROIs) around the outer part of the arterial wall on every slice of the attenuation-corrected transverse PET CT images. Per-patient, per-time-point, per-vessel, and per-ROI radiotracer decay-corrected and body weight-corrected SUVs were calculated, resulting in a single mean value of maximum SUV for the aorta. The aortic wall FDG uptake was measured in both early and delayed images and expressed in terms of SUVmax. Then Retention index percentage of the aorta was measured. The retention index percentage was calculated by subtracting the SUVmax in early images from the SUVmax in delayed images and dividing by SUVmax in early images.

Conclusion

Aortic wall FDG uptake can be used as an additional parameter as well as a biomarker on evaluation of the arterial atherosclerotic activity. Delayed post 3 h FDG imaging is more accurate than the routine early post 1 h imaging in evaluating the atherosclerotic activity.

Background

Atherosclerosis is an inflammatory disease of the inner wall of large and medium-sized arteries [1]. The progress of atherosclerosis is based on a lot of factors, including systemic involvement of disease, the precise vascular arterial affection, and the degree of flow obstruction. Wide range exists, and even many patients with critical obstruction of flow to vital organs may survive for many years, despite the severity of the disease [2]. Atherosclerosis imaging represents a wide range of established and under trial radiological modalities that can be used to detect anatomical and physiological results of long-standing atherosclerosis [3]. Nuclear medicine imaging, such as positron emission tomography (PET), differs from other imaging modalities, since it has the ability to noninvasively detect molecular and cellular processes to identify early disease progress before anatomical manifestations. Moreover, multimodality imaging like PET/CT is very effective, since the computed tomography (CT) can precisely localize the PET findings. PET/CT can be used to study metabolic and physiologic processes in vivo with precise anatomic localization. 18F-Fluorodeoxyglucose (FDG) is the most utilized radiopharmaceutical. Also PET/CT allows quantitative measurements that provide more accurate and less observer-dependent measure of inflammatory atherosclerosis than qualitative assessment [4]. It has become clear that the cellular and extracellular composition of plaques is a primary determinant of plaque stability. The main characteristics include the state of thin fibrous cap, large lipid core, a paucity of smooth muscle cells, and an abundance of inflammatory cells [5]. High-risk plaques by MRI (large lipid core, intra-plaque hemorrhage, or on ultrasound) have greater FDG uptake than those of stable phenotypes. In PET/CT images, FDG uptake is strongly correlated with hyper enhancement of plaque after administration of a iodinated contrast agent and is negatively correlated with the degree of arterial calcification. Finally, arterial FDG uptake is greater in arteries with high pulsed wave velocities, another entity marker of vascular dysfunction [6].

We aim in this study to estimate the FDG uptake of the aortic wall in the early and delayed imaging and to the correlate this with the morphologic changes detected by CT.

Methods

This prospective study was performed through 1 year. It included 50 patients, 30 males (60%) and 20 females (40%), with mean age 58.3 ± 15.7 years. All the patients underwent double time-point 18F-FDG PET/CT with informed consent before enrollment. 18F-FDG PET CT imaging was performed using a dedicated whole-body PET/CT scanner (Philips Ingenuity PET/CT system).

Patients’ selection

The selection process included identifying those patients who fulfilled the criteria given below and approved by the ethical committee.

Inclusion criteria

• Patients with variable risk categories to have aortic atherosclerosis referred for FDG PET/CT study for different indications.

Exclusion criteria

• Patients who underwent aortic angioplasty or stenting.

• Patient who underwent surgery including major vascular intervention.

• Patients with recently diagnosed malignant tumors known to be associated with vascular invasion or receiving prior chemotherapy or radiotherapy.

• Patient who were on atherosclerotic therapy.

Medical data

• Personal history: gender, age, smoking, height, weight and body mass index. History of diabetes mellitus, hypertension, or administration of anti-atherosclerotic medication should be documented.

• Present illness:

  • Primary indication for PET.

  • Stage of primary neoplasm.

• Previous investigation related to aorta.

• Previous treatment: e.g., drugs for dyslipidemia.

• General examination:

  • Weight, height, body mass index, pulse rate, blood pressure, and random blood sugar.

Image protocol

PET images were acquired from mid-skull to mid-thigh in 3D mode and reconstructed in transverse, coronal, and sagittal planes using a 64-row multidetector hybrid system (Philips—Ingenuity PET/CT system) and (GE Healthcare 16-slice system), with an axial field of view (FOV) of 216 mm and a PET sensitivity of 7.6 counts per second /kBq.

Patient preparation

Patients are instructed fasting for at least 6 h and were asked to avoid strenuous exercise for previous 24 h. Blood glucose was checked in all patients prior to FDG injection. Serum blood glucose levels were determined by finger stick measurement before administration of the radiotracer to ensure a serum glucose level below 200 mg/dl.

All patients were kept in warm and calm environment then received ~ 5.2 MBq of ¹⁸F-FDG per kilogram of body weight intravenously. Each patient underwent multiple time-point ¹⁸F-FDG PET CT imaging at ~ 60 and 180 min after the administration of ¹⁸F-FDG. At 60 min, the acquisition time per bed position was 2 min. To compensate for radioactive decay of the tracer, the acquisition time per bed position was extended to 4 min for the 3-h scan. A low-dose CT-scan for attenuation correction and anatomical orientation as well as to detect aortic calcification was performed at a speed of 0.42 s per rotation and a section thickness of 5.0 mm. The window level in non-enhanced images was zero Hounsfield Units (HU) settled in water. For detection of aortic intimal changes, a bolus intravenous injection of contrast was given to differentiate the aortic wall from the intra-luminal blood. An adequate concentration of contrast medium was obtained at a flow rate of 0.4 ml/s using a power injector. Enhanced images from the aortic arch to the bifurcation were obtained by injecting a total volume of 50–60 ml of contrast medium.

Image analysis

The obtained data were interpreted and analyzed both quantitatively and qualitatively as will be mentioned. All images were viewed on a workstation, which showed multiplanar and 3D reconstructions of the PET and CT images as well as quantitative and semi-quantitative measurements. The entire aorta, starting at the ascending aorta and ending at the aortic bifurcation, was assessed. Blinded for time points and patient characteristics, each PET scan was reviewed and quantitatively assessed for the degree of global arterial 18 F-FDG uptake (Figs. 1, 2, and 3) as follows.

Fig. 1

Male patient 57-year-old, non-smoker, non-diabetic, non-hypertensive. He had a history of biliary obstruction with CBD stent underwent PET/CT for suspicious of abdominal malignancy. a Post contrast CT images showed diffuse irregular intimal thickening and small calcification (b, c) fused and PET early images showed measurement of SUVmax at the outer wall of the descending thoracic aorta (yellow arrow). d Delayed PET images showed increased FDG uptake with higher SUVmax (red arrows)

Fig. 2

Male patient 58-year-old, non-smoker, non-diabetic, non-hypertensive. He underwent PET/CT for cancer prostate staging. a Non contrast CT images showed dense calcified atheromatous plaque involving 50% of the abdominal aorta circumference. b Early PET/CT images after 1 h showed measurement of SUVmax at the outer wall of the abdominal aorta. c SUVmax measurements at the blood pool (IVC) and liver. d Delayed images after 3 h showed retention of FDG within the active atheroma with SUVmax higher than the blood pool activity (IVC) and liver denoting grade IV atherosclerotic disease

Fig. 3

Male patient 55-year-old, non-smoker, non-diabetic, non-hypertensive. He underwent PET/CT for nasopharyngeal cancer staging. Non contrast (a, b) and post contrast CT images (c, d) showed minimal intimal thickening of the thoracic aorta reaching 3 mm with no obvious calcification denoting early atherosclerotic disease. Note the difference between the early PET images (e, f) and delayed images (g, h) with retention of FDG within the aortic wall (arrows)

PET findings

For each patient, for each time point, the global ¹⁸F-FDG uptake in the aorta was determined by manually drawing regions of interest (ROIs) around the outer part of the arterial wall on every slice of the attenuation-corrected transverse PET CT images. The blood pool ¹⁸F-FDG activity was determined in the inferior vena cava lumen as a representative of blood pool activity. Per-patient, per-time-point, per-vessel, and per-ROI radiotracer decay-corrected and body weight-corrected standard uptake values (SUVs) were calculated, resulting in a single mean value of maximum SUV for the aorta and inferior vena cava. The blood pool FDG activity as well as the aortic wall FDG uptake were measured in both early and delayed images and expressed on terms of SUVmax. Then retention index percentage of the blood pool as well as of the aorta was measured. The retention index percentage was calculated by subtracting the SUVmax in early images from the SUVmax in delayed images and dividing by SUVmax in early images.

$$ \frac{\left(\mathrm{SUVmax}\kern0.17em \mathrm{in}\ \mathrm{delayed}\ \mathrm{images}-\mathrm{SUVmax}\ \mathrm{in}\ \mathrm{early}\ \mathrm{images}\right)}{\mathrm{SUVmax}\kern0.17em \mathrm{in}\kern0.17em \mathrm{early}\kern0.17em \mathrm{images}} $$

The FDG uptake by the aortic arterial wall in the delayed images was graded as follows:

• Grade 1 when arterial FDG activity is equal or less than the blood pool FDG activity.

• Grade 2 when arterial FDG activity is higher than the blood pool FDG activity but less than that of liver.

• Grade 3 when arterial FDG activity is higher than blood pool but equal to the liver FDG activity.

• Grade 4 when arterial FDG activity is higher than blood pool and slightly higher to the liver FDG activity.

CT findings

Aortic arterial wall were assessed at four parts of the aorta, including ascending aorta, aortic arch, descending thoracic aorta, and descending abdominal aorta. Within each part intimal HU mean, maximum intimal thickness, degree of intimal changes, degree of aortic calcification, and intra-luminal diameter.

Intimal HU mean were measured in non-enhanced images by multiple drawing regions of interest including the aortic wall measuring HU mean in each drawing. Then the mean of all readings were calculated for each part.

The intimal thickness were measured in the contrast enhancing images to differentiate the enhanced luminal blood from the relative less enhancing aortic wall. The degree of intimal changes was shown by a percentage of thickenings of the circumference of the aortic wall for each segment. The intimal changes were evaluated qualitatively including outline irregularity with or without calcific changes. Regarding intra-luminal diameter, the internal luminal diameter measured in the largest cross-section of the aortic diameter except in aortic arch where the shortest axis is used. The ratio of the aortic diameter to body surface area was used to correct for differences in individual body build. The degree of aortic calcification was measured in non-enhanced CT images. It was expressed in the form of percentage of the longitudinal dimensions of each length.

Statistical methods

Data were statistically described in terms of mean ± standard deviation (± SD), median and range, or frequencies (number of cases) and percentages when appropriate. Stepwise multivariate regression analysis was performed to examine the potential interactions among the entered covariates. The Student t test was used for comparison of paired data; P values less than 0.05 was considered statistically significant. Comparison of numerical variables between the study groups was done using Kruskal-Wallis test with post-hoc multiple 2-group comparisons. Spearman’s correlation coefficient (R_s) was used to measure of the strength of the relationship. − 1 ≤ R_s ≤ 1. The absolute value of RS

• 0.00–0.19 “very weak”

• 0.20–0.39 “weak”

• 0.40–0.59 “moderate”

• 0.60–0.79 “strong”

• 0.80–1.0 “very strong”

While the sign indicate the direction of the correlation either directly proportion (positive) or inversely proportion (negative). Correlation between various variables was done using Spearman rank correlation equation for non-normal variables/non-linear monotonic relation. All statistical calculations were done using computer program IBM SPSS (Statistical Package for the Social Science; IBM Corp, Armonk, NY, USA) for Microsoft Windows.

Results

The study included 50 patients [30 males (60%) and 20 females (40%)] with male to female mean ratio 1.5:1 and their mean age 58.3 ± 15.7 years. Eleven patients (22%) showed no aortic atherosclerotic changes. Moreover, most of the cases (42%) had grade III atherosclerotic lesions, whereas grade II and grade IV were detected in 18% of the cases for each. No patient in our study had grade V. Detailed CT regional aortic findings in our cases were shown in (Table 1). The examined parts of thoracic aorta (ascending, arch and descending parts) as well as the abdominal aorta showed no abnormality regarding their luminal diameter as well as intimal thickness. On the other hand, abdominal descending aorta as well as thoracic descending aorta showed the highest HU mean (363.3 ± 360.4 and 347.9 ± 139 respectively) compared to that of ascending and arch of aorta (152.2 ± 139 and 157.4 ± 139 respectively). Moreover, the highest intimal changes were detected in abdominal aorta (50.5 ± 36.8) compared to thoracic aorta segments. Wall calcifications were higher in aortic arch and descending aorta (13.2 ± 13.8 and 12.5 ± 14.8 respectively) compared to ascending aorta and abdominal aorta that showed similar values. 9.7% ± 12.5 and 9.7 ± 12.5 for each.

Table 1 CT findings in the 50 patients of study population

Dual point blood pool activity SUVs were done with ROI placed in inferior vena cava (IVC) lumen with calculation of the retention index percentage. Our results denote insignificant higher SUVmax value 1.492 ± 0.3636 compared to delayed SUVmax value 1.214 ± 0.3620 with retention index percentage − 0.182 ± 0.1635% (Table 2). Similarly, hepatic early SUVmax showed insignificant relative higher value 2.82 ± 0.52 compared to hepatic late SUVmax 2.2 ± 0.26 with retention index percentage 0.1 ± 0.03% (Table 3). On evaluating FDG quantitative parameters in different segments of aorta, all aortic segments (ascending aorta, arch, descending thoracic, and abdominal aorta) showed grade I to II. Moreover, delayed SUVmax showed higher values than the early SUVmax in all segments of the aorta with almost similar values. Regarding retention index percentage of thoracic and abdominal aorta, it showed significantly higher values in comparison to blood pool (IVC) retention index percentage (Tables 4, 5, 6, and 7).

Table 2 Dual point blood pool (IVC lumen) SUVs and retention index percentage in the 50 patients of study population

Table 3 Dual point hepatic SUVs and Retention index percentage in the 50 patients of study population

Table 4 Ascending aorta FDG dual point quantitative parameters in the 50 patients of study population

Table 5 Aortic arch FDG dual point quantitative parameters in the 50 patients of study population

Table 6 Descending thoracic aorta FDG dual point quantitative parameters in the 50 patients of study population

Table 7 Descending abdominal aorta FDG dual point quantitative parameters in the 50 patients of study population

The relation of FDG activity with CT findings was done within the thoracic and abdominal aorta using test of significance (P value) as well as Spearman’s correlation coefficient (Rs value). Regarding PET findings in different segments of the aorta, early SUVmax did not show any significant correlation with CT findings.

On the other hand, delayed SUVmax of different aortic segments showed significant changes but with no significant correlation with their CT findings (P < 0.05) except with calcification.

Concerning retention index percentage, their correlations were strong positive in relation to aortic segment intimal changes in descending thoracic aorta and descending abdominal aorta with Rs value 0.6, 0.7, 0.6, and 0.7 respectively. Whereas it was positive with weak to moderate strength in relation to the segments intimal thickness changes in descending thoracic aorta and descending abdominal aorta with Rs value 0.3, 0.5, 0.3, and 0.4 respectively and similarly to intimal maximum HU with Rs value 0.3, 0.4, 0.4, and 0.5 (Tables 8 and 9).

Table 8 Correlation between FDG findings and CT findings in the 50 patients of study population within the descending thoracic aorta

Table 9 Correlation between FDG findings and CT findings in the 50 patients of study population within the descending abdominal aorta

Discussion

This prospective study included 50 patients aiming at quantification of the aortic arterial wall FDG uptake as well as FDG retention index percentage by post 1 and 3 h post tracer injection, in patient with different risk factors of atherosclerosis. We also correlate the functional PET/CT findings with the abnormal CT findings in those patients using dual point technique.

Most of cases in this study showed CT grade III atherosclerosis (42%) with absence of grade V cases. This can be explained by their younger mean age (mean age 55.3 ± 10.1) with less time allowed for development of atherosclerosis complications. Our study showed that the highest atherosclerotic changes were mainly in the abdominal aorta followed by descending part of descending aorta. This could be attributed to exaggerated and prolonged stress (sheering effect) exerted on abdominal aorta due to turbulent blood flow at the orifices of its branches [7]. On the contrary, aortic calcifications was common in aortic arch; this can attributed to high blood pressure in their wall with earlier atherosclerotic changes that healed by fibrosis and calcification [8]. Regarding dual point blood pool activity measured in inferior vena cava lumen, our results showed higher but insignificant SUVmax values in early study compared to late study denoting FDG background activity decreased with time. This is very important including oncological PET that could be delayed as target (lesion) to background ratio will be increased resulting in better detection of the lesion as well as detection of more numbers of lesions. Similar findings were observed on evaluation of hepatic dual point SUVmax. All cases in our study had only PET grade I and II (i.e., less than hepatic activity) arterial wall uptake. This may be also attributed to their relatively young main age with less time to develop complicating atherosclerotic disease [9]. Among pioneered studies evaluating FDG uptake in aortic atherosclerosis was that study conducted by Tatsumi et al. [10]. They concluded that increased aortic wall FDG uptake regions were mostly distinct from the calcification sites. Moreover, FDG uptake is possibly located in areas of metabolic activity of active atherosclerotic changes. Meirelles et al. [11] also studied 18F-FDG uptake as a tool detecting metabolically active atherosclerotic plaque. They detailed the frequency and stability of 18F-FDG uptake and vascular calcifications in the thoracic aorta on serial 18F-FDG PET/CT studies and correlated the findings with clinical data and risk factors for cardiovascular diseases. They concluded that calcifications were stable over time, but 18F-FDG uptake changed in more than half of the patients postulating that inflammation in atheroma can progress or regress in a waxing and waning process. In the current study, these findings were quite congruent with our correlations results. We denoted that the correlation between arterial wall FDG uptake in the early and delayed studies to the percentage of aortic calcification were insignificant (P > 0.2) as well as the retention index percentage of arterial wall FDG activity showed no correlation (Rs near zero). Tawakol et al. [12] were the first to link plaque inflammation regarding histological macrophages content to 18F-FDG uptake in plaques of 17 patients scheduled for carotid endarterectomy. They found a significant correlation between the PET signal from the carotid plaques and the macrophage staining from the corresponding histological sections with (r = 0.70 and P < 0.0001).

In a prospective study by Rudd et al. [13], they studied the relationships of the 18F FDG uptake to multi-variables in risk factors including calcification and regional arterial inflammation. The study included 41 patients who underwent vascular FDG PET/CT imaging who had either vascular disease or other multiple risk factors. They found strong associations between FDG uptake in neighboring arteries (right versus left carotid, r = 0.91, P < 0.001; aortic arch versus ascending aorta, r = 0.88, P < 0.001). They concluded that plaque inflammation and calcification rarely overlap, supporting the theory that calcification represents a late stage of atherosclerosis. Inflammation in one arterial territory is associated with inflammation elsewhere. They suggested that FDG PET imaging could be used as an important marker of both atherosclerotic disease activity and drug effectiveness. Many studies are now prospectively done to determine the role of this technique in clinical risk prediction. In the current study, instead of histology-based approaches and biochemical profile, we detect CT morphological changes that indicate or suggest either early developing or complicated atherosclerosis in aortic arterial wall at the four parts of the aorta, including intimal HU mean value, maximum intimal thickness, degree of intimal changes, degree of aortic calcification, and intra-luminal diameter. Moreover, our early and delayed SUVmax of different segments of aorta showed insignificant difference. This is expected as atherosclerosis is a systemic disease involving the whole cardiovascular endothelium. Different segments only differ in their atherosclerotic grades and/or stages of healing.

Conclusion

❖ Aortic wall FDG uptake can be used as an additional parameter as well as a biomarker on evaluation of the arterial atherosclerotic activity.

❖ Delayed post 3 h FDG imaging is more accurate than the routine early post 1 h imaging in evaluating the atherosclerotic activity.

❖ Retention FDG index is positively correlated with arterial CT changes including arterial intimal thickness, percentage of intimal changes, and HU of the arterial wall.

❖ FDG uptake may be used as a diagnostic index for atheroma cellular content and hence vulnerability.