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Journal of Radiology and Radiation Therapy

Distinctive Energy Profile of Water-Soluble, Thiolate-Protected Gold Nanoparticles as Potential Molecular Marker for Vulnerable Plaque Detection with XFCT Imaging

Case Report | Open Access | Volume 8 | Issue 1

  • 1. Department of Radiology, Harvard Medical School, USA
  • 2. Department of Radiation Oncology, Division of Medical Physics, Stanford University School of Medicine, USA
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Corresponding Authors
Raiyan T. Zaman, PhD, MSEE, Assistant Professor, Department of Radiology, Harvard Medical School, Assistant Investigator, Gordon Center for Medical Imaging Massachusetts General Hospital, 149, 13th Street, Charlestown, Boston, MA 02129, Tel: (617) 643-9610 (O); (512) 294-7327 (C)
Abstract

Purpose: X-ray CT plays a pivotal role in diagnostic imaging, radiotherapy, and its indispensable contribution to preclinical small animal imaging research. This study characterizes a distinctive energy spectrum of a novel 3-mercaptobenzoic-acid (3MBA)-protected-144-atoms gold-nanoparticles (3MBA-Au-144-NPs) after X-ray excitation and detects vulnerable atherosclerotic plaques non-invasively using this novel contrast agent in mice carotid arteries for the first time to the best of our knowledge.

Methods: We designed a four-chamber heart apex model using a 3D-printer and filled with four different concentrations of 3MBA-Au-144-NPs. The X-ray system was equipped with a pencil beam collimator, which was calibrated using a 1x1 in² large radiochromic film. The tube was operated at 320 kVp with 12.5 mA current and multiple filtration options were available for the X-ray excitation source. The resulting pencil beam had a 3.2 mm diameter. The four-chamber apex was translated and rotated relative to the stationary pencil beam. Each sample chamber was irradiated for 2-minutes and emitted fluorescent X-rays from the excited 3MBA-Au-144-NPs were collected with CdTe and Silicon Drift (SD) detectors for 15 seconds. The spectra were used for L-shell XRF peak isolation and sonogram generation of this novel 3MBA-Au-144-NPs. The distribution and concentration of 3MBA-Au-144-NPs were reconstructed with an alternative maximum likelihood expectation maximization algorithm. For in vivo detection of unstable plaques, we developed atherosclerotic mice model after feeding them 1% high cholesterol diet (HCD) for four weeks before diabetic was induced by intraperitoneal injection of streptozotocin (STZ) to accelerate the plaque progression. Two weeks after the diabetic induction, surgically left carotid artery was ligated. Two weeks after the surgical ligation, a 250 µL of 3MBA-Au-144-NPs was IV injected after 6 hours of fasting. One hour after injection, the mice were imaged non-invasively with a cone-beam micro-CT system.

Results: Two distinctive L-shell energy peaks were observed at 10 KeV and 11.13 KeV for 3MBA-Au-144-NPs in the energy spectrum of the SD detector. K-shell fluorescence events vanished in the Compton scatter and characteristic background of the tungsten source due to the lead shielding for the SD and CdTe detectors. There is a space missing at 12.5 KeV. The signal intensity varied with different 3MBA-Au-144-NPs concentration of 5%, 10%, 20%, and 100%. The X-ray fluorescence (XRF) intensity showed a highly linear response (R2 =0.999) with respect to different concentrations of 3MBA-Au-144-NPs. High XRF signal was detected in the left carotid artery at 2 mm below the ligation and in aortic arch. Non-ligated right carotid artery (negative control) showed no such signal.

Conclusion: These distinct energy spectra in the L-shell fluorescent energies render 3MBA-Au-144-NPs as a viable contrast agent for future in vivo XFCT imaging.

Citation

Zaman RT, Vernekhol D, Xing L (2020) Distinctive Energy Profile of Water-Soluble, Thiolate-Protected Gold Nanoparticles as Potential Molecular Marker for Vulnerable Plaque Detection with XFCT Imaging. J Radiol Radiat Ther 7(1): 1087.

INTRODUCTION

X-ray based computed tomography (CT) plays a pivotal role in diagnostic imaging, image guided interventions, treatment planning of various diseases. Although CT provides millimeter resolution for anatomical imaging, it lacks the ability to image processes at the molecular level. When dealing cardiovascular diseases, it is difficult to image atherosclerotic plaques within the coronary artery due to its small size, motion, and obscuring signal from surrounding myocytes even with dynamic contrastenhanced CT while measuring physiological properties. However, X-ray fluorescence CT (XFCT) is an intriguing alternative on the basis of physical principle to detect characteristic X-ray emissions from high atomic-number (Z) elements when exposed to X-ray beam [1,2]. Following photoelectric absorption, a vacancy in the K shell is subsequently filled by an electron from L or M shells, and the energy difference between these shells is released as either an Auger electron or a characteristic K-shell X-ray (i.e., XRF). In this study, we have used novel water-soluble thiolate-protected gold nanoparticles called 3-mercaptobenzoic-acid (3MBA)- protected-144-atoms gold-nanoparticles (3MBA-Au-144-NPs) [3] made of element with an atomic number Z ≥47 to characterize the distinctive energy spectrum after X-ray excitation for the first time to the best of our knowledge.

With the goal of utilizing the XFCT signals for cardiovascular applications, here we investigated an imaging method to directly monitor the spatial distribution of the 3MBA-Au-144-NPs using XFCT to identify the location of vulnerable plaques in carotid arteries by detecting characteristics X-ray (XRF photons) or

Augur electrons from 3MBA-Au-144-NPs through photoelectric process. The XRF photons can be imaged with energy-resolving X-ray photon counting detectors [4-6]. This will provide a means of detecting quantitative change in distribution and concentration of 3MBA-Au-144-NPs. We present the instrumentation development with a heart apex phantom validation followed by in vivo imaging of atherosclerotic plaques in mice carotid arteries in conjunction with 3MBA-Au-144-NPs with a cone-beam micro-CT imaging system.

In this study, we have demonstrated two distinctive L-shell energy peaks specific to 3MBA-Au-144-NPs contrast agent recently developed in Dr. Kornberg’s laboratory. Based on XRF peaks in the spectra of the processed sonogram for each chamber of 3D printed apex model showed highly linear response (R2 =0.999) with respect to different concentrations of 3MBA-Au144-NPs and their signal intensity. We have also detected strong XRF signal in the close vicinity of the left carotid arterial ligation in the mice atherosclerotic model that highlights the presence of unstable plaques infiltrated with macrophage with micro-CT imaging system in conjunction of 3MBA-Au-144-NPs.

MATERIALS AND METHODS

MBA-Au-144-NPs synthesis

3MBA protected gold nanoparticles (AuNPs) were synthesize as described before [3]. Briefly, methanolic solutions of 3-MBA (84 mM) and HAuCl4 (28 mM) were mixed in 7:1 molar ratio. The mixture was diluted 3.5-fold in water, pH was adjusted to 13 by addition of about 100 mM NaOH, and mixture was equilibrated overnight. A final solution of 2.5 mM 3-MBA, 0.36 mM HAuCl4, and 27% (v/v) methanol was reduced with 2 mM NaHB4. Reaction proceeded on rocking platform for 4.5 hours at room temperature. Au144 nanoparticles were recovered by precipitation with 100 mM NaCl and centrifugation. After a final wash in 75% methanol, the pellet was dried in air overnight and suspended in water.

Phantom preparation

We designed a four-chamber heart apex model and its holder using a 3D-printer (Figure 1A).

(A) Photograph of the four-chamber heart apex model  filled with different concentrations of 3MBA-Au-144-NPs.Schematic  illustration of the (B) apex model with various concentrations of the  3MBA-Au-144-NPs within the four chambers.

Figure 1: (A) Photograph of the four-chamber heart apex model filled with different concentrations of 3MBA-Au-144-NPs.Schematic illustration of the (B) apex model with various concentrations of the 3MBA-Au-144-NPs within the four chambers.

Each chamber had the dimension of 3 mm, which is within the human coronary artery diameter (1.9-4.5 mm), and 10 mm height. Chambers were filled with 0.1 ml of 17 mg/mL 3MBA-Au-144-NPs and 0, 0.05, 0.1, and 0.2 ml of water to make the final 3MBA-Au-144- concentrations to be 17.0, 3.4, 1.7, and 0.85 mg/ml, respectively (Figure 1B).

XFCT system setup

The schematic diagram of the experimental setup is illustrated in Figure 2A.

(A) Schematic illustration of the experimental setup  including the filtered X-ray source, the heart apex model with different  concentrations of 3MBA-Au-144-NPs, and the CdTe or SD detector.  (B) Mechanism of the X-ray fluorescence (XRF) photon emission from  L-shell electrons.

Figure 2: (A) Schematic illustration of the experimental setup including the filtered X-ray source, the heart apex model with different concentrations of 3MBA-Au-144-NPs, and the CdTe or SD detector. (B) Mechanism of the X-ray fluorescence (XRF) photon emission from L-shell electrons.

The X-ray system was equipped with a pencil beam collimator, which was calibrated using a 1x1 in² large radiochromic film. The mechanism of X-ray fluorescence (XRF) emission from L-shell electrons is shown in Figure 2B. The X-ray tube was operated at 320 kVp with 12.5 mA current and multiple filtration options were available for the X-ray excitation source (PXi, Precision X-Ray, CT, USA) (Figure 3A).

Photograph of the experimental set-up with (A) X-RAD 320  from PXi Precision X-ray with CdTe detector, (B) collimator with lead  shielding, the heart apex model (C) a top, (D) a side view, and (E) SD  detector.

Figure 3: Photograph of the experimental set-up with (A) X-RAD 320 from PXi Precision X-ray with CdTe detector, (B) collimator with lead shielding, the heart apex model (C) a top, (D) a side view, and (E) SD detector.

The resulting pencil beam diameter was 3.2 mm. The detectors and sample chambers were shielded elaborately (Figure 3B) with lead to effectively suppress scatter background from the X-ray tube and provide a high sensitivity for the measurement. The XFCT system setup with a 3D printed holder and mock detectors were shown in Figure 3C-3D. Each sample chambers with the NPs was irradiated for 2 minutes before detecting the X-ray photons from 3MBA-Au-144-NPs with a thermoelectrically cooled cadmium telluride (CdTe) (Figure 3A) and Silicon Drift (SD) detectors (Figure 3E).

The heart apex model was set up in a rotating motion at precise steps using a computer-controlled motion stage (Velmex Inc., Bloomfield, NY), while the X-ray source and the detectors were kept stationary. A single slice of measurements was acquired by translating the heart apex model 30× at 1.5 mm increments. To cover one complete rotation of 360o degree it took 31×. The emitted XRF photons from the pencil beam illuminated narrow volume were collected using CdTe (X-123CdTe, Amptek Inc., Bedford, MA) detector. The x-ray detector module included a preamplifier with pile-up rejection, a digital pulse processor and a multichannel analyzer (MCA) (PX4, Amptek Inc., Bedford, MA). The detector and motion stage were operated by a custom written C++ program from a computer. The detectors system was placed at a 90o angle to the incident X-ray beam to minimize the number of unwanted scattered photons entering the detectors. To shield the X-ray detectors from X-rays coming from outside the field of view, a thick lead shield was built to cover the sensitive elements. A second SDD X-ray detector SD (1-2-3 X-Ray Spectrometer, Amp TeK) was placed behind the apex heart model along the beam direction to provide transmission measurements.

Sinogram generation from spectrum analysis

XFCT raw data consisted of a series of spectra with corresponding beam position. The XRF peaks in the spectra were processed into a sonogram for each chamber of Apex model consisted of different concentration of 3MBA-Au-144-NPs and reconstructed with 25 iterations of maximum-likelihood expectation maximization (MLEM) algorithm. The spectra included fluorescence peaks from 3MBA-Au-144-NPs as well as the background due to scattered photons. Although, L-shell XRF has low-penetration, we focused on acquiring both L-shell and K-shell XRF peaks. The spectrum measured for each beam position includes the L-shell and K-shell XRF peaks from 3MBA-Au-144-NPs superimposed on a broad background of scattered photons.

Mice atherosclerotic model development

Mice experiments were conducted according to a protocol approved by the Administrative Panel on Laboratory Animal Care at the Massachusetts General Hospital (APLAC #2019N000104). Macrophage-rich atherosclerotic lesions were created in the left carotid arteries of diabetic, hyperlipidemic FVB/NJ mice, as studied extensively by our laboratory [7-10]. In brief, 8-weekold male mice (n=5) were started with normal chow immediate after arrival at the MGH animal facility. Then within a day if the animal looked healthy and eating well, we added 25% of 1% high cholesterol diet (1% HCD) containing 40% kcal fat, 1.25% (by weight) cholesterol and 0.5% (by weight) sodium cholate (D12109C, Research Diets). Gradually we increased 100% of their diet to 1% HCD during the first week of arrival. We kept daily dietary record of each mouse and its body weight. After four weeks on the 1% HCD, diabetes was induced by 5 consecutive day of intra-peritoneal injection of streptozotocin (STZ, 40 mg/ kg, Sigma-Aldrich). Two weeks after the diabetic induction, the left common carotid artery was ligated below the bifurcation with 5-0 silk ligature (Ethicon) fewer than 2% Isoflurane anesthetic. The non-ligated right carotid serves as a negative control.

Atherosclerotic Plaques imaging with 3MBA-Au-144- NPs and XFCT

Before imaging of in vivo mice, a vial filled with 3MBA-Au-144- NPs (100 mg/mL consists of 2.9×10-8 moles/1.7×1016 particles) was imaged for XFCT side-by-side with 0.9% saline filled vial by a cone-beam micro-CT. Two weeks after carotid ligation, mice were injected 250 µl of 3MBA-Au-144-NPs intravenously (IV) through tail vein an hour before imaging with micro-CT for XFCT imaging. As a proof-of-concept, the XFCT was performed in a cone-beam micro-CT system (40 kV, 0.64 mA, Triumph, TriFoil Imaging, and Chatsworth, CA, USA) under 2% Isoflurane in the prone position, acquiring a single line integral at a time. Images were reconstructed using various filtered back-projection settings in the imaging software (Optimal Resolution, General Purpose, and Optimal Noise), at 177 µm resolution. Reconstructed images were exported as DICOMs using the Amira software (Zuse Institute Berlin, Germany and Thermo Fisher Scientific, Waltham, MA).

IMAGE ANALYSIS

The Region-of-Interest (ROI) statistics and 3D view of the XFCT images were analyzed with Materialise Mimics, a 3D medical image processing software.

STATISTICAL ANALYSES

A pairwise two-sample Student’s t-test was performed to compare XRF signals between (1) vials filled with 3MBA-Au-144- NPs vs. 0.9% saline; (2) in vivo mice left carotid ligation vs. nonligated right carotid arteries after 3MBA-Au-144-NPs IV injection. Weight and dose were not considered in the statistical analysis as we used all mice with same weight and 3MBA-Au-144-NPs doses. We presented all values as mean ± standard deviation. Statistical significance is considered at p<0.05.

RESULTS

Two distinctive L-shell energy peaks were observed at 10 KeV and 11.13 KeV for 3MBA-Au-144-NPs in the energy spectrum (Figure 4).

An XRF spectral fingerprint of 3MBA-Au- 144-NPs is  exhibited at 10 KeV and 11.13 KeV excited with 320 KeV X-ray sources.

Figure 4: An XRF spectral fingerprint of 3MBA-Au- 144-NPs is exhibited at 10 KeV and 11.13 KeV excited with 320 KeV X-ray sources.

K-shell fluorescence events vanished in the Compton scatter and characteristic background of the tungsten source due to the lead shielding for the SD and CdTe detectors. The distinctive L-shell fluorescence energy peaks of 3MBA-Au-144- NPs were useful characteristic feature for molecular imaging. We also observed a space missing at 12.5 KeV.

The XRF peaks in the spectra were processed into sonogram for the NPs and reconstructed with MLEM algorithm (Figure 5A).

 Reconstructed image of heart apex model with same volume  of 3MBA-Au-144-NPs with different concentration. (A) Sinogram  generated from XRF peaks of 3MBA-Au-144-NPs is exhibited at 10 KeV  and 11.13 KeV excited with 320 KeV X-ray source; (B) reconstructed  image using one iteration of maximum-likelihood expectation  maximization (MLEM) algorithm (C) reconstructed XFCT image (the  spatial position of different concentration of 3MBA-Au-144-NPs  upper right: 0.1 mL NPs with 0 mL water, lower right: 0.1 mL NPs with  0.05 mL water, upper left: 0.1 mL NPs with 0.1 mL water, lower left:  0.1 mL NPs with 0.2 mL water) using 25 iteration of MLEM.

Figure 5: Reconstructed image of heart apex model with same volume of 3MBA-Au-144-NPs with different concentration. (A) Sinogram generated from XRF peaks of 3MBA-Au-144-NPs is exhibited at 10 KeV and 11.13 KeV excited with 320 KeV X-ray source; (B) reconstructed image using one iteration of maximum-likelihood expectation maximization (MLEM) algorithm (C) reconstructed XFCT image (the spatial position of different concentration of 3MBA-Au-144-NPs upper right: 0.1 mL NPs with 0 mL water, lower right: 0.1 mL NPs with 0.05 mL water, upper left: 0.1 mL NPs with 0.1 mL water, lower left: 0.1 mL NPs with 0.2 mL water) using 25 iteration of MLEM.

The distribution of the 3MBA-Au-144-NPs is clearly identified on the reconstructed image (Figure 5B). Reconstructed XFCT image from the generated sonogram was based on XRF peaks of 3MBAAu-144-NPs in the acquired spectra. The signal intensity varied with different 3MBA-Au-144-NPs concentration distribution (correlated with the image intensity) of 0.85, 1.7, 3.4, and 17.0 mg/ml or 5%, 10%, 20%, and 100% (Figure 5C), respectively. The XRF intensity showed a highly linear response (R2 =0.999) with respect to different concentrations of 3MBA-Au-144-NPs (Figure 6).

A highly linear relationship between the XRF intensity and  the concentration of the 3MBA-Au-144- NPs (RR^2 =0.999).

Figure 6: A highly linear relationship between the XRF intensity and the concentration of the 3MBA-Au-144- NPs (RR^2 =0.999).

The XRF signal from 3MBA-Au-144-NPs was 1.67× higher (132.15 ± 26.30 vs. 78.87 ± 25.18) compared to 0.9% saline (Figure 7).

Side-by-side micro-CT images of 0.9% saline and 3MBA-Au144-NPs. Contrast agent showed 1.67x higher signals compared to  0.9% saline at the highlighted region-of-interest (ROI) in both top and  cross sectional view.

Figure 7: Side-by-side micro-CT images of 0.9% saline and 3MBA-Au144-NPs. Contrast agent showed 1.67x higher signals compared to 0.9% saline at the highlighted region-of-interest (ROI) in both top and cross sectional view.

The results are statistically significance (p=0.001). None of the five left carotid ligated mice showed any XRF signal at baseline before 3MBA-Au-144-NPs was IV injected in both 1D images as well as the volumetric render images (Figure 8).

Baseline images of mice model. No higher XRF signals were  detected in mice carotid ligation atherosclerotic model at baseline  measurement before injecting 3MBA-Au-144-NPs.

Figure 8: Baseline images of mice model. No higher XRF signals were detected in mice carotid ligation atherosclerotic model at baseline measurement before injecting 3MBA-Au-144-NPs.

However, a strong XRF signal was detected at 2 mm below the ligation of the left carotid arteries where plaque developed below the bifurcation (Figure 9).

(A) Higher XRF signals were detected at the atherosclerotic  plaque of a mouse ligated left carotid artery and aortic arch of the  heart at 1 hour post 3MBA-Au-144-NPs injecting. (B) For secondary  verification extracted heart with left and right carotid artery was  imaged with an in-house near-infrared fluorescence imaging system  confirmed similar results as with XFCT. (C-D) 3D volumetric render  image at 1 hour post 3MBA-Au-144-NPs injecting.

Figure 9: (A) Higher XRF signals were detected at the atherosclerotic plaque of a mouse ligated left carotid artery and aortic arch of the heart at 1 hour post 3MBA-Au-144-NPs injecting. (B) For secondary verification extracted heart with left and right carotid artery was imaged with an in-house near-infrared fluorescence imaging system confirmed similar results as with XFCT. (C-D) 3D volumetric render image at 1 hour post 3MBA-Au-144-NPs injecting.

1D image (Figure 9A), the white light image (Figure 9B), and render volumetric images (Figure 9C-9D) of the mice left carotid artery showed similar results. Although, we observed high XRF signal in the aortic arch of the ligated mice after the 3MBA-Au-144-NPs injection in the 1D image, 3D render images we were not able to detect.

DISCUSSIONS

The number of XRF counts produced signal is proportional to the concentration of 3MBA-Au-144-NPs that leads to accurate quantification of gold-based molecular contrast agent. However, the lower limit to detect spatial distribution of 3MBA-Au-144- NPs is a key factor for developing XFCT imaging strategy. It is important to improve the lower limit of detection while keeping the radiation dose as low as possible. Our experimental design showed low to moderate scattering inside the chambers of the apex model and its surrounding materials lead to narrow background noise in the energy spectrum. The signal to noise ratio (SNR) was relatively higher than other studies done by researchers in our research group [1,2]. However, SNR could be further improved by polarized and monochromatic X-ray source for irradiation of the 3MBA-Au-144-NPs [2,11]. Monochromatic beams produced with synchrotron sources are known to give higher contrast for k-shell XRF signal than clinically polychromatic X-ray sources [12]. Another limitation of this study is the long image acquisition time due to the beams was acquired sequentially. To overcome this limitation, in future we could perform parallel imaging by using an X-ray photon counting detector array and multiple simultaneous excitation pencil beams. In addition, we can improve this XFCT imaging by using cone beam geometry [13].

However, the ability of these novel 3MBA-Au-144-NPs based XRF imaging will provide co-localized microstructural and biological image information that could enhance our understanding and management of the coronary artery disease (CAD). Inflammatory cells, such as macrophage infiltration can be identified by the micro-CT system can now be further characterized in vivo in terms of molecular expression and activity by the use of 3MBA-Au-144-NPs. This new capability could allow researchers and doctors to gain access to coronary plaques which is still challenging due to their small size, motion, and obscuring signal from adjacent myocardium.

This XFCT system in conjunction with 3MBA-Au-144-NPs could provide diagnostic solution to identify individuals at higher risk by identifying culprit lesions in the coronary artery tree and initiate treatment to prevent the rupture of the plaques and infarction of the myocardium. This will enable early initiation of personalized therapy before irreversible damage occurs. Furthermore, this imaging modality has the potential to identify patients with acute MI that are at risk of enhanced remodeling, and to steer yet-to-be-defined therapies that stop this process early before heart failure occurs.

CONCLUSIONS

We have demonstrated that capability of XFCT to image spatial distribution and concentration of 3MBA-Au-144-NPs. Although, this proof of concept study may anticipate a long way to be a part of the clinically used imaging toolbox, it surely shows promises of non-invasive way to detect the 3MBA-Au-144-NPs to detect unstable atherosclerotic plaques in carotid arteries with a whole-body molecular imaging.

SUMMARY OF KEY POINTS

Question

Can XFCT be a suitable non-invasive molecular imaging tool to detect unstable plaques?

Pertinent findings

In a small cohort in vivo mice carotid atherosclerotic study, we have identified that XFCT in conjunction with a high-Z X-ray crystal nanoparticle can locate unstable plaques in carotid arteries with high sensitivity. We have also identified two L -shell energy peaks from the X-ray crystal due to characteristic augur electrons with missing K-shell fluorescence events in the Compton scatter and characteristic background of the tungsten source.

Implication for patient care

The transitional implication of this study will help detect the location of unstable plaques during the evaluation of the arterial wall before stent implantation by the interventional cardiologist.

AUTHOR CONTRIBUTIONS STATEMENT

Specific contribution of the authors (initials) is listed here. RTZ (PI): design and system development, experimental set up and conduct experiment, data and statistical analysis, manuscript writing, DV: experimental set up and conduct experiment, data analysis, review and writing manuscript; LX: review manuscript.

FINANCIAL SUPPORT

This study was partly support by the National Heart, Lung, and Blood Institute of the National Institutes of Health under award numbers R00HL127180.

DATA AVAILABILITY STATEMENT

All the generated data in this study were analyzed and included in this manuscript in form of Figures.

ACKNOWLEDGEMENT

The authors of these manuscripts are grateful to Dr. Roger Kornberg and Dr. Maia Azubel for providing the nanoparticles that was designed and synthesized in the Roger Kornberg’s Laboratory at Stanford University School of Medicine.

REFERENCES

1. Yu Kuang, Guillem Pratx, Magdalena Bazalova, Bowen Meng, Jianguo Qian, Lei Xing. First demonstration of multiplexed X-ray fluorescence computed tomography (XFCT) imaging. IEEE Trans. Med Imag. 2013; 32: 262-267.

2. Yu Kuang, Guillem Pratx, Magdalena Bazalova, Jianguo Qian, Bowen Meng, Lei Xing. Development of XFCT imaging strategy for monitoring the spatial distribution of platinum-based chemo drugs: instrumentation and phantom validation. Med Phys. 2013; 40: 030701.

3. Maia Azubel, Roger D. Kornberg. Synthesis of Water-Soluble, Thiolate-Protected Gold Nanoparticles Uniform in Size. Nano Lett. 2016; 16: 3348-3351.

4. Magdalena Bazalova, Yu Kuang, Guillem Pratx, Lei Xing. Investigation of X-ray fluorescence computed tomography (XFCT) and K-edge imaging. IEEE Trans. Med Imag. 2012; 31: 1620-1627.

5. Seong-Kyun Cheong, Bernard L Jones, Arsalan K Siddiqi, Fang Liu, Nivedh Manohar, Sang Hyun Cho. X-ray fluorescence computed tomography (XFCT) imaging of gold nanoparticle-loaded objects using 110 kVp x-rays. Phys Med Biol. 2010; 55: 647-662.

6. Bernard L Jones, Sang Hyun Cho. The feasibility of polychromatic cone-beam x-ray fluorescence computed tomography (XFCT) imaging of gold nanoparticle-loaded objects: a Monte Carlo study. Phys Med Biol. 2011; 56: 3719-3730.

7. Hisanori Kosuge, Sarah P Sherlock, Toshiro Kitagawa, Rajesh Dash, Joshua T Robinson, Hongjie Dai. Near infrared imaging and photothermal ablation of vascular inflammation using single-walled carbon nanotubes. J Am Heart Assoc. 2012.

8. Masahiro Terashima 1, Masaki Uchida, Hisanori Kosuge, Philip S Tsao, Mark J Young, Steven M Conolly, et al. Human ferritin cages for imaging vascular macrophages. Biomaterials. 2011; 32: 1430-1437.

9. Hisanori Kosuge, Sarah P. Sherlock, Toshiro Kitagawa, Masahiro Terashima, Joëlle K. Barral, Dwight G. Nishimura, et al. FeCo/Graphite Nanocrystals for Multi-Modality Imaging of Experimental Vascular Inflammation. Plos One 6. 2011.

10. Masaki Uchida, Hisanori Kosuge, Masahiro Terashima, Deborah A. Willits, Lars O. Liepold, Mark J. Young, et al. Protein cage nanoparticles bearing the LyP-1 peptide for enhanced imaging of macrophage-rich vascular lesions. ACS Nano. 2011; 5; 2493-2502.

11. Ali PA, Bennet C, el-Sharkawi AM, Hancock DA. Plane polarized x-ray fluorescence system for the in vivo measurement of platinum in head and neck tumours. Phys Med Biol. 1998; 43: 2337-2345.

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13. Bernard L Jones, Nivedh Manohar, Francisco Reynoso, Andrew Karellas, Sang Hyun Cho. Experimental demonstration of benchtop x-ray fluorescence computed tomography (XFCT) of gold nanoparticleloaded objects using lead- and tin-filtered polychromatic cone-beams. Phys Med Biol. 2012; 57: N457-467.

Zaman RT, Vernekhol D, Xing L (2020) Distinctive Energy Profile of Water-Soluble, Thiolate-Protected Gold Nanoparticles as Potential Molecular Marker for Vulnerable Plaque Detection with XFCT Imaging. J Radiol Radiat Ther 7(1): 1087.

Received : 21 Sep 2020
Accepted : 10 Oct 2020
Published : 12 Oct 2020
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ISSN : 2578-3351
Launched : 2017
JSM Bioavailability and Bioequivalence
ISSN : 2641-7812
Launched : 2017
JSM Atherosclerosis
ISSN : 2573-1270
Launched : 2016
Journal of Genitourinary Disorders
ISSN : 2641-7790
Launched : 2017
Journal of Fractures and Sprains
ISSN : 2578-3831
Launched : 2016
Journal of Autism and Epilepsy
ISSN : 2641-7774
Launched : 2016
Annals of Marine Biology and Research
ISSN : 2573-105X
Launched : 2014
JSM Health Education & Primary Health Care
ISSN : 2578-3777
Launched : 2016
JSM Communication Disorders
ISSN : 2578-3807
Launched : 2016
Annals of Musculoskeletal Disorders
ISSN : 2578-3599
Launched : 2016
Annals of Virology and Research
ISSN : 2573-1122
Launched : 2014
JSM Renal Medicine
ISSN : 2573-1637
Launched : 2016
Journal of Muscle Health
ISSN : 2578-3823
Launched : 2016
JSM Genetics and Genomics
ISSN : 2334-1823
Launched : 2013
JSM Anxiety and Depression
ISSN : 2475-9139
Launched : 2016
Clinical Journal of Heart Diseases
ISSN : 2641-7766
Launched : 2016
Annals of Medicinal Chemistry and Research
ISSN : 2378-9336
Launched : 2014
JSM Pain and Management
ISSN : 2578-3378
Launched : 2016
JSM Women's Health
ISSN : 2578-3696
Launched : 2016
Clinical Research in HIV or AIDS
ISSN : 2374-0094
Launched : 2013
Journal of Endocrinology, Diabetes and Obesity
ISSN : 2333-6692
Launched : 2013
Journal of Substance Abuse and Alcoholism
ISSN : 2373-9363
Launched : 2013
JSM Neurosurgery and Spine
ISSN : 2373-9479
Launched : 2013
Journal of Liver and Clinical Research
ISSN : 2379-0830
Launched : 2014
Journal of Drug Design and Research
ISSN : 2379-089X
Launched : 2014
JSM Clinical Oncology and Research
ISSN : 2373-938X
Launched : 2013
JSM Bioinformatics, Genomics and Proteomics
ISSN : 2576-1102
Launched : 2014
JSM Chemistry
ISSN : 2334-1831
Launched : 2013
Journal of Trauma and Care
ISSN : 2573-1246
Launched : 2014
JSM Surgical Oncology and Research
ISSN : 2578-3688
Launched : 2016
Annals of Food Processing and Preservation
ISSN : 2573-1033
Launched : 2016
JSM Physical Medicine and Rehabilitation
ISSN : 2578-3572
Launched : 2016
Annals of Clinical Pathology
ISSN : 2373-9282
Launched : 2013
Annals of Cardiovascular Diseases
ISSN : 2641-7731
Launched : 2016
Journal of Behavior
ISSN : 2576-0076
Launched : 2016
Annals of Clinical and Experimental Metabolism
ISSN : 2572-2492
Launched : 2016
Clinical Research in Infectious Diseases
ISSN : 2379-0636
Launched : 2013
JSM Microbiology
ISSN : 2333-6455
Launched : 2013
Journal of Urology and Research
ISSN : 2379-951X
Launched : 2014
Journal of Family Medicine and Community Health
ISSN : 2379-0547
Launched : 2013
Annals of Pregnancy and Care
ISSN : 2578-336X
Launched : 2017
JSM Cell and Developmental Biology
ISSN : 2379-061X
Launched : 2013
Annals of Aquaculture and Research
ISSN : 2379-0881
Launched : 2014
Clinical Research in Pulmonology
ISSN : 2333-6625
Launched : 2013
Journal of Immunology and Clinical Research
ISSN : 2333-6714
Launched : 2013
Annals of Forensic Research and Analysis
ISSN : 2378-9476
Launched : 2014
JSM Biochemistry and Molecular Biology
ISSN : 2333-7109
Launched : 2013
Annals of Breast Cancer Research
ISSN : 2641-7685
Launched : 2016
Annals of Gerontology and Geriatric Research
ISSN : 2378-9409
Launched : 2014
Journal of Sleep Medicine and Disorders
ISSN : 2379-0822
Launched : 2014
JSM Burns and Trauma
ISSN : 2475-9406
Launched : 2016
Chemical Engineering and Process Techniques
ISSN : 2333-6633
Launched : 2013
Annals of Clinical Cytology and Pathology
ISSN : 2475-9430
Launched : 2014
JSM Allergy and Asthma
ISSN : 2573-1254
Launched : 2016
Journal of Neurological Disorders and Stroke
ISSN : 2334-2307
Launched : 2013
Annals of Sports Medicine and Research
ISSN : 2379-0571
Launched : 2014
JSM Sexual Medicine
ISSN : 2578-3718
Launched : 2016
Annals of Vascular Medicine and Research
ISSN : 2378-9344
Launched : 2014
JSM Biotechnology and Biomedical Engineering
ISSN : 2333-7117
Launched : 2013
Journal of Hematology and Transfusion
ISSN : 2333-6684
Launched : 2013
JSM Environmental Science and Ecology
ISSN : 2333-7141
Launched : 2013
Journal of Cardiology and Clinical Research
ISSN : 2333-6676
Launched : 2013
JSM Nanotechnology and Nanomedicine
ISSN : 2334-1815
Launched : 2013
Journal of Ear, Nose and Throat Disorders
ISSN : 2475-9473
Launched : 2016
JSM Ophthalmology
ISSN : 2333-6447
Launched : 2013
Journal of Pharmacology and Clinical Toxicology
ISSN : 2333-7079
Launched : 2013
Annals of Psychiatry and Mental Health
ISSN : 2374-0124
Launched : 2013
Medical Journal of Obstetrics and Gynecology
ISSN : 2333-6439
Launched : 2013
Annals of Pediatrics and Child Health
ISSN : 2373-9312
Launched : 2013
JSM Clinical Pharmaceutics
ISSN : 2379-9498
Launched : 2014
JSM Foot and Ankle
ISSN : 2475-9112
Launched : 2016
JSM Alzheimer's Disease and Related Dementia
ISSN : 2378-9565
Launched : 2014
Journal of Addiction Medicine and Therapy
ISSN : 2333-665X
Launched : 2013
Journal of Veterinary Medicine and Research
ISSN : 2378-931X
Launched : 2013
Annals of Public Health and Research
ISSN : 2378-9328
Launched : 2014
Annals of Orthopedics and Rheumatology
ISSN : 2373-9290
Launched : 2013
Journal of Clinical Nephrology and Research
ISSN : 2379-0652
Launched : 2014
Annals of Community Medicine and Practice
ISSN : 2475-9465
Launched : 2014
Annals of Biometrics and Biostatistics
ISSN : 2374-0116
Launched : 2013
JSM Clinical Case Reports
ISSN : 2373-9819
Launched : 2013
Journal of Cancer Biology and Research
ISSN : 2373-9436
Launched : 2013
Journal of Surgery and Transplantation Science
ISSN : 2379-0911
Launched : 2013
Journal of Dermatology and Clinical Research
ISSN : 2373-9371
Launched : 2013
JSM Gastroenterology and Hepatology
ISSN : 2373-9487
Launched : 2013
Annals of Nursing and Practice
ISSN : 2379-9501
Launched : 2014
JSM Dentistry
ISSN : 2333-7133
Launched : 2013
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