Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Research ArticleClinical Investigations

First Experience of 18F-Alfatide in Lung Cancer Patients Using a New Lyophilized Kit for Rapid Radiofluorination

Weixing Wan, Ning Guo, Donghui Pan, Chunjing Yu, Yuan Weng, Shineng Luo, Hong Ding, Yuping Xu, Lizhen Wang, Lixin Lang, Qingguo Xie, Min Yang and Xiaoyuan Chen
Journal of Nuclear Medicine May 2013, 54 (5) 691-698; DOI: https://doi.org/10.2967/jnumed.112.113563
Weixing Wan
1Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, China
2Department of Nuclear Medicine, Wuxi No. 4 People’s Hospital, Wuxi, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ning Guo
3Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland
4Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China; and
5Center for Molecular Imaging and Translational Medicine, Xiamen University, Xiamen, Fujian, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Donghui Pan
1Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chunjing Yu
2Department of Nuclear Medicine, Wuxi No. 4 People’s Hospital, Wuxi, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yuan Weng
2Department of Nuclear Medicine, Wuxi No. 4 People’s Hospital, Wuxi, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shineng Luo
1Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hong Ding
1Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yuping Xu
1Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lizhen Wang
1Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lixin Lang
3Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Qingguo Xie
4Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Min Yang
1Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiaoyuan Chen
3Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF
Loading

Abstract

18F-FPPRGD2, which was approved for clinical study recently, has favorable properties for integrin targeting and showed potential for antiangiogenic therapy and early response monitoring. However, the time-consuming multiple-step synthesis may limit its widespread applications in the clinic. In this study, we developed a simple lyophilized kit for labeling PRGD2 peptide (18F-AlF-NOTA-PRGD2, denoted as 18F-alfatide) using a fluoride–aluminum complex that significantly simplified the labeling procedure. Methods: Nine patients with a primary diagnosis of lung cancer were examined by both static and dynamic PET imaging with 18F-alfatide, and 1 tuberculosis patient was investigated using both 18F-alfatide and 18F-FDG imaging. Standardized uptake values were measured in tumors and other main organs at 30 min and 1 h after injection. Kinetic parameters were calculated by Logan graphical analysis. Immunohistochemistry and staining intensity quantification were performed to confirm the expression of integrin αvβ3. Results: Under the optimal conditions, the whole radiosynthesis including purification was accomplished within 20 min with a decay-corrected yield of 42.1% ± 2.0% and radiochemical purity of more than 95%. 18F-alfatide PET imaging identified all tumors, with mean standardized uptake values of 2.90 ± 0.10. Tumor-to-muscle and tumor-to-blood ratios were 5.87 ± 2.02 and 2.71 ± 0.92, respectively. Conclusion: 18F-alfatide can be produced with excellent radiochemical yield and purity via a simple, 1-step, lyophilized kit. PET scanning with 18F-alfatide allows specific imaging of αvβ3 expression with good contrast in lung cancer patients. This technique might be used for the assessment of angiogenesis and for planning and response evaluation of cancer therapies that would affect angiogenesis status and integrin expression levels.

  • RGD peptide
  • alfatide
  • aluminum fluoride
  • PET
  • lung cancer

Recently, encouraging reports of successful antiangiogenic therapy in combination with chemotherapy and radiotherapy have been demonstrated in various carcinomas and metastatic malignant tumor entities (1–4). Consequently, there is an increasing demand for noninvasive imaging to facilitate early response monitoring and screening of the appropriate patients who will benefit from antiangiogenic treatment with positive effects (5,6). Integrin αvβ3, which plays a key role in the regulation of cellular activation, survival, and migration, is one of the most important members in the integrin family (7–9). The ability to visualize and quantify αvβ3 integrin expression via specific targeting ligands will provide unique opportunities for evaluating tumor neovascularization. Great efforts have been made in developing radiolabeled integrin-targeting agents (4,10–13). Various arginine-glycine-aspartic acid (RGD)–containing peptide probes have been tested, because cyclic RGD peptides have high affinity and selectivity for integrin αvβ3. RGD peptides have been radiolabeled and evaluated with 18F (14), 64Cu (15), 68Ga (16,17), 76Br (13), and 89Zr (18) for integrin αvβ3–targeted PET imaging in xenograft models.

18F is a popular radioisotope for labeling peptides because of its well-suited physical half-life (109.7 min) for routine clinical use. Therefore, several 18F-labeled RGD peptide tracers have been tested in oncologic patients, including 18F-galacto-RGD (4) and 18F-AH11585 (19). Both of these radiotracers are peptides based on monomeric cyclic RGD. With favorable pharmacokinetics and binding affinity for αvβ3 integrin, dimeric and multimeric RGD peptides are superior to the monomeric analogs (10,20), most likely because of the polyvalency effect. With potential specificity of imaging αvβ3 integrin expression in oncology, the dimeric RGD peptide 18F-FPPRGD2 was obtained recently for further evaluation approved by the Food and Drug Administration (6).

However, all these 18F-labeled compounds suffer from multistep time-consuming and low-yield synthetic procedures, limiting their widespread use as routine tracers in the clinic. The application of chelation chemistry, which allows the radiotracer to be prepared without the need of high-performance liquid chromatography, has led to the recent development of 18F-fluoride–aluminum complexes to radiolabel peptides. Lang et al. (21) successfully prepared 18F-AlF-NOTA-PRGD2 (denoted as 18F-alfatide as shown in Fig. 1), and Guo et al. (22) evaluated and compared the pharmacokinetics of this new fast-labeling dimeric RGD compound with other well-developed dimeric RGD peptides in U87MG xenografts. It was shown that 18F-alfatide has promising imaging properties and pharmacokinetics that are comparable, or superior, to those of 18F-FPPRGD2. Thus, it is encouraging that the recently introduced kit formulation method for rapid radiofluorination provides a strategy for simplifying the labeling procedure for RGD peptides and shows potential for facilitating clinical translation. As the next logical step, we are now focusing on specific tumor entities to evaluate the clinical use of 18F-alfatide.

FIGURE 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 1.

Chemical structure of 18F-AlF-NOTA-PRGD2 (18F-alfatide) peptide.

The aim of this study was to develop the kits for the dimeric RGD peptide and prove the feasibility of PET imaging in lung cancer patients with squamous or adenomatous carcinoma using 18F-alfatide. Quantitative analysis and pharmacokinetics studies were also conducted to further analyze the specificity of tracer accumulation.

MATERIALS AND METHODS

Radiopharmaceutical Preparation

NOTA-PRGD2 was synthesized previously (21). AlCl3·6H2O and other chemicals obtained commercially were of analytic grade and used without further purification. No-carrier-added 18F was obtained from an in-house cyclotron (HM-7; Sumitomo Heavy Industries Ltd.). Reversed-phase extraction Sep-Pak C18 cartridges, which were used to purify the radiolabeled peptides, were acquired from Waters. Analytic reversed-phase high-performance liquid chromatography using a Phenomenex C18 column (Luna, 5 μm, 250 × 4.6 mm) was performed on a chromatography system (Waters) with a 2487 Dual λ absorbance detector (Waters) and a Perkin-Elmer radiomatic flow scintillation analyzer. With a flow rate of 1 mL/min, the mobile phase stayed at 95% solvent A (0.1% trifluoroacetic acid in water) and 5% B (0.1% trifluoroacetic acid in acetonitrile [MeCN]) at 0–2 min and was changed to 35% solvent A and 65% solvent B at 32 min.

Stock solutions of NOTA-PRGD2 and AlCl3·6H2O were dissolved in deionized water. Kits were made with varying amounts of NOTA-PRGD2 (8–32 nmol) and AlCl3·6H2O (3–12 nmol) stock solutions. The filled vials were frozen and then transferred to the shelf of the Labconco Freeze Dry System cooled to −16°C. When the vacuum went below 13.3 Pa (100 mTorr), the shelf temperature was increased to 0°C. After 16 h, the shelf temperature was increased to 20°C for 4 h. The vials were then sealed under vacuum and removed from the lyophilizer.

The lyophilized peptide was radiolabeled by adding 18F (740–3,700 MBq [20–100 mCi]) in 100–200 μL of deionized water and an equal volume of sodium acetate–acetonitrile buffer solution (pH 2–6) to the crimp-sealed vial and then heating to 70°C –110°C for 5–30 min. After being cooled, the vial contents were diluted with 10 mL of water and loaded onto an activated C18 cartridge. The cartridge was washed again with water (10 mL), and the desired labeled peptide 18F-alfatide was eluted with 10 mM HCl in ethanol (1 mL). The product was reconstituted in saline and passed through a 0.22-μm Millipore filter into a sterile vial for further studies.

The percentage isolated yield in the product vial was determined by measuring the activity found in the Sep-Pak C18 cartridge, reaction vial, water wash, and product vial to account for the total activity. When the isolated yield calculation was compared with the decay-corrected method, the yields were found to be essentially identical, indicating that all the 18F activity was counted.

The purified radiolabeled peptides in saline were stored at 37°C and 4°C. The radiochemical purity of the solution was used to test the labeling yield at different time points (0, 1, 2 and 4 h).

Patients

The study protocol was approved by the ethics committee of Wuxi no. 4 People’s Hospital, and each patient gave written and informed consent before the study. Nine male patients (age range, 57–79 y) who suffered from lung cancer were included and examined in this study. Patient selection was focused on lung cancer because there is considerable evidence reported that squamous cancer cells express integrin αvβ3. Diagnosis before scanning was made by biopsy, CT, or 18F-FDG PET. After scanning, the diagnosis was confirmed by surgery and histopathologic examination of the resection specimen or by combined analysis of morphologic imaging and the patient's clinical data as well as history. One female patient with tubercular lymph nodes was investigated by comparing 18F-FDG and 18F-alfatide imaging. The patient information is summarized in Table 1.

View this table:
  • View inline
  • View popup
TABLE 1

Patient Characteristics and PET Quantifications

PET/CT Imaging

PET/CT imaging was performed on a Biograph 64 PET/CT scanner (Siemens) in all instances. 18F-alfatide (224.56 ± 38.2 MBq) was injected intravenously in all patients. No specific subject preparation, such as fasting, was requested on the day of imaging. Two imaging protocols were applied to study the whole-body tracer distribution and time–activity curves. In 6 patients, 30- or 60-min (depending on the age and state of illness) dynamic scans were acquired, with the detector rings covering the region of tumor and heart so that the time–activity curves of malignant lesions and arterial blood input functions could be obtained. The dynamic scans were followed by a static scan. A static emission scan was acquired for each subject beginning on average 60 min after injection of 18F-alfatide, covering a field of view from the abdomen to the base of the skull (5–7 bed positions, 5 min per bed position). PET images were reconstructed with 3-dimensional ordered-subset expectation maximization. The frame rates of dynamic scans were 10 × 30, 5 × 60, 5 × 120, and 10 × 240 s. The images were attenuation corrected with the transmission data from CT.

Image Analysis

In biodistribution analysis from static images, regions of interest (ROIs) were placed over the tumor and major organs (heart, lung, liver, spleen, intestine, kidneys, and muscle) with the assistance of corresponding CT images. The results were expressed in standardized uptake value (SUV), which was calculated according to the following formula: (measured activity concentration [Bq/mL] × body weight [g]/injected activity [Bq]). Biodistribution SUV quantification for 30 min after injection was conducted in dynamic image analysis, where only main organs could be covered in 1 bed position. In dynamic PET image analysis, ROIs were measured with the Inveon Research Workplace software (version 3.0; Siemens). ROIs were determined by manually superimposing the ellipsoid volume of interest (VOI) to the target tissue on the last frame of the entire 60-min (or 30-min) dynamic image sequence. Then a threshold of 30% maximum was set to screen the voxels with lower values in the entire VOI because of possible tumor heterogeneity and shape irregularity. The time–activity curves were derived by superimposing the same VOI on each time frame of the entire dynamic image sequence, and the value of each time point represents the overall concentration of radioactivity in the tissue. The activity concentrations, which were converted to SUV, were determined by the mean pixel intensity within each VOI. The arterial blood input function was estimated by drawing a VOI in the region of left ventricle on the reconstructed PET image at 0.5 min (the second frame of dynamic PET image series). The region of muscle was selected as the reference tissue.

Kinetic Modeling and Parameter Estimation

As reported in our previous study, a 2-tissue-compartment (3-compartment) model best characterized the tumor and other specific binding processes of RGD peptide (22,23). Therefore, a 1-tissue-compartment (2-compartment) model where the third compartment (specific binding) is not suitable to be described was used for muscle as a reference tissue. The 3-compartment model consists of unmetabolized radiotracer in arterial blood plasma (Cp), free or nonspecific binding tracer in interstitial and intracellular space (Ct), and tracer bound specifically to integrin (Cm). Both Ct and Cm occupy the same physical volume. The ROI(t) represents the sum of radioactivity from all compartments and includes the plasma volume fraction. Similarly, the 2-compartment model describes RGD tracer kinetics using muscle as reference tissue, and ref(t) represents free (nonspecific binding) tracer in the reference tissue (muscle) region. Generally speaking, kinetic parameters K1 (mL/g/min), k2 (1/min), k3 (1/min), and k4 (1/min) represent the transport or binding rates of plasma perfusion into tissue, clearance from plasma, specific binding, and dissociation, respectively.

On the basis of the Logan plot shown in Equation 1 (24,25), the ratio between the integral of Cp(t) and the instantaneous value of ROI(t) and the ratio between the integral and the instantaneous value of ROI(t) become linearly related when the exchange between the target tissue and plasma reaches an equilibrium (t > t*).

∫0TROI(t)dtROI(T)=DV∫0TCp(t)dtROI(T)+Int (t>t*).(Eq. 1)

DV denotes the volume of distribution (VT) and can be easily calculated from the linear regression. DV is a measure of the capacity of tissue to bind a particular tracer and can be regarded as the sum of specific (VS) and nonspecific distribution (VND). Total VT is defined in Equation 2 (26).

VT=VS+VND=K1k2(1+k3k4)..(Eq. 2)

In the original Logan plot estimation, an arterial blood input function is required. Unfortunately, blood sampling faces technical challenges and brings radiation exposure to researchers. A reformulation of the Logan analysis, which uses a reference region, provides the possibility to estimate the kinetic parameters without arterial blood sampling (27). We selected muscle as the reference tissue because of its negligible integrin expression. The relationship between muscle and plasma is expressed in Equation 3.

∫0Tref(t)dtref(T)=DVref∫0TCp(t)dtref(T)+1k2ref.(Eq. 3)

DVref and k2ref are the parameters volume of distribution and k2 of reference tissue.

Thus, the normalized integral of activity in the tumor versus the normalized integral of activity in the muscle becomes linear according to Equation 4:

∫0TROI(t)dtROI(T)=DVR(∫0Tref(t)dt+ref(t)/k2refROI(T))+Int'.(Eq. 4)

The ratio of integrated tumor uptake and tumor uptake was set as the y-axis. The ratio of integrated reference tissue uptake and tumor uptake was set as the x-axis in the Logan plot. The slope of the linear portion of the Logan plot is distribution volume ratio (DVR). Binding potential (BpND = k3/k4), a macroparameter reflecting the binding affinity in vivo, could be derived from DVR (BpND = DVR − 1).

Tissue Samples and Immunohistochemistry Collection

For immunohistochemistry, sampled specimens were snap-frozen in liquid nitrogen and stored at −70°C until staining was performed. Tissue samples were taken within 1 wk after scanning from the tumor regions with the maximum tracer uptake and, when possible, from regions with low tracer uptake. Frozen tumor tissues were sectioned and stained using the biotinylated monoclonal anti-αvβ3 antibody. Sections were processed by peroxidase staining. Light microscopic evaluation of the density of αvβ3-positive tissue was performed. Briefly, areas with the highest density of αvβ3-positive tissue were identified using scanning magnification. Subsequently, αvβ3-positive areas were counted in 5 adjacent microscopic fields using a ×40 objective lens and a ×10 ocular lens, corresponding to an area of 0.588 mm2. Microvessel density and staining intensity were determined by a senior pathologist, who was masked to the results of the corresponding SUV.

Statistical Analysis

SUV and quantitative kinetic parameters determined from PET data were expressed as mean ± SD.

RESULTS

Kit Optimization

The kit consists of NOTA-PRGD2 and AlCl3, and the amounts were optimized. We found that the reaction was most efficient at an amount of 16 nmol for NOTA-PRGD2. Using the kit prepared with the optimal amounts of NOTA-PRGD2 peptide and AlCl3, we conducted additional studies to assess the necessary reaction temperature, pH of buffer solution, and timing for the labeling procedure and how the 18F activity would affect labeling yields (shown in the supplemental data; supplemental materials are available online only at http://jnm.snmjournals.org). These studies showed that labeling yield was improved as the temperature increased, with maximum yields peaking at 100°C or more. The optimal pH value for labeling ranges from 2 to 4. Heating for 10 min provided high yields, with longer time possibly enhancing the yields slightly but not enough to warrant the loss in isotopic decay that would otherwise occur. Naturally, the labeling yield stayed consistent when the amount of 18F was 740–2,590 MBq (20–70 mCi). The labeling yield was significantly decreased when more 18F activity was added. Under the optimal condition, the whole radiosynthesis, including purification was accomplished within 20 min, with a decay-corrected yield of 42.1% ± 2.0% and radiochemical purity of more than 95%. The specific activity of 18F-alfatide was calculated to be at least 37 GBq (1,000 mCi)/μmol.

Biodistribution

Figure 2 shows the distribution of 18F-alfatide at 1 h after intravenous administration in a representative lung cancer patient. Major organs with relatively high uptake were labeled in a maximum-intensity-projection PET image (Fig. 2A). The corresponding coronal PET/CT fusion image showed the tracer distribution in the main area of body including tumor (Fig. 2B). The transaxial PET/CT and CT images focusing on tumors are also shown in Figure 2C. The tumor area with tracer uptake showed intense staining of integrin in the neovasculature (Fig. 2D). The results of the SUV measurements for tumors and other main organs are summarized in Table 2. The mean SUVs were 2.90 ± 0.10 for tumor, 1.07 ± 0.07 for blood, and 0.49 ± 0.04 for muscle at 1 h after injection. The 1-h tumor-to-blood and tumor-to-muscle ratios were calculated to be 2.71 ± 0.92 and 5.87 ± 2.02, respectively. Integrin αvβ3 expression could be confirmed by immunohistochemistry in all primary tumor specimens. The highest activity accumulation was found in the kidneys and bladder, demonstrating renal clearance. The liver, spleen, and intestines also showed moderate uptake. Minimal radiotracer accumulation was found in the brain ventricles and thyroid gland.

View this table:
  • View inline
  • View popup
TABLE 2

SUVs Normalized to Weight for Various Organs

FIGURE 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 2.

(A) Representative coronal maximum-intensity-projection PET image shows distribution of 18F-alfatide (SUV) at 1 h after injection in lung cancer patient (patient 6 in Table 1). Major organs and regions are labeled with arrows brain ventricles (1), salivary–oropharyngeal cavity (2), thyroid gland (3), lungs (4), spleen (5), tumor (6), liver (7), kidneys (8), intestine (9), bladder (10), and heart (11). (B) Corresponding PET/CT fusion image at certain coronal slice further shows uptake of tumor and other organs. (C) Corresponding transaxial PET/CT fusion image (upper) and CT image (middle). (D) Intense staining of neovasculature without staining of tumor cell.

Patient Study

All tumors could be clearly identified by 18F-alfatide. 18F-alfatide PET identified 2 patients’ lymph node metastatic lesions, which were confirmed by corresponding 18F-FDG scans (Fig. 3). Some small metastatic lesions in the bone could also be detected in 18F-alfatide imaging (tumor-to-bone ratio, ∼1.7) (Fig. 4). A 26-y-old female patient underwent both 18F-FDG and 18F-alfatide static PET/CT scans within 3 d. Despite obvious 18F-FDG uptake in the mesenteric lymph nodes, 18F-alfatide appeared to be negative in this scrofula patient (Fig. 5). Although 18F-FDG PET remains superior for tumor detection and staging in lung cancer, 18F-alfatide PET imaging may provide additional information for screening tumor-induced inflammation and scrofula lesions.

FIGURE 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 3.

18F-FDG (A) and 18F-alfatide (B) maximum-intensity-projection imaging of patient (patient 8 in Table 1) with primary squamous carcinoma (white arrow) and lymph node metastasis (yellow arrow). (C) Transaxial PET image with administration of 18F-FDG (upper) and 18F-alfatide (lower) and corresponding CT image (middle) covering carcinoma and lymph node metastasis.

FIGURE 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 4.

18F-alfatide PET and corresponding PET/CT image of lung cancer patient with bone metastasis (patient 4 in Table 1). (Left) Maximum-intensity-projection whole-body PET image. (Right) Transaxial PET/CT image covering bone metastatic lesion, 1 h after injection of 18F-alfatide. Arrows point to bone metastatic lesion.

FIGURE 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 5.

18F-alfatide and corresponding 18F-FDG PET/CT scans of scrofula patient (patient 10 in Table 1). (A) Maximum-intensity-projection PET images of scrofula patient at 1 h after injection of 18F-alfatide (upper) and 18FDG (lower). (B) Transaxial PET/CT fusion image covering intestine. Negative uptake at 1 h after injection of 18F-alfatide (upper) and high uptake in scrofula patient at 1 h after injection of 18F-FDG (lower) are shown. Arrows point to tubercular lymph nodes.

Immunohistochemistry

As shown in Figure 6, immunohistochemistry results confirmed integrin αvβ3 expression in primary tumors. Integrin αvβ3 expression in addition to staining of the neovasculature could be seen on the tumor cells. Rarely, integrin αvβ3 could be observed in normal tissue. Unfortunately, no sample was collected from the 2 patients with lymph node metastasis. The integrin expression level and microvessel density were quantified and summarized in Figure 6B. In Figure 6B, according to the RGD uptake, the samples were grouped as high and moderate, and the corresponding integrated optical densities were 30,459.36 ± 2,298.71 (n = 4) and 26,748.64 ± 2,226.64 (n = 3). As a control, the normal tissue showed a minimal integrated optical density of 567.75 ± 88.63 (n = 5).

FIGURE 6.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 6.

(A) Immunohistochemistry results: representative hematoxylin and eosin staining of tumor sample from lung cancer patient showing highly growing cancer cells spread to normal tissue (top left); immunohistochemistry with integrin antibody demonstrating αvβ3 expression predominantly on tumor cells (top right); immunohistochemistry staining of tumor vasculature with antibody against CD31 (bottom left); and immunohistochemistry staining of normal tissue, indicating rare expression of integrin αvβ3 (bottom right). (B) Quantification of integrin expression level in tumor tissue (upper) and microvessel density. IOD = integrated optical density; MVD = microvessel density.

Time–Activity Curves and Kinetic Quantification

In all dynamic scans, tumors showed rapid tracer accumulation during the first 10 min and reached a plateau with only a minimal decrease of uptake though the entire 60-min time course (Fig. 7A). Other normal organs such as the liver and heart showed a peak at early time points (<1 min) because of blood perfusion with high concentration of radioactivity. The uptake in these regions dropped rapidly afterward, which is consistent with a previous report (28). The arterial blood input function was estimated by drawing a VOI in the region of the left ventricle on reconstructed PET/CT images at 0.5 min (the second frame of the dynamic PET image series). The method permits the extraction of the input function from the left ventricle while keeping the peak of tracer concentration in blood with good accuracy. A region of muscle was selected as the reference tissue (the region with almost the same blood input function but without specific binding). The corresponding time courses were shown in Figure 7A. Kinetic parameters were summarized in Figure 7B. The binding potential in the tumor was 3.63 ± 1.28; VTs were 1.55 ± 0.07 for the tumor and 0.35 ± 0.15, 1.52 ± 0.28, and 0.27 ± 0.05, respectively, for healthy lung, liver, and muscle. Compared with the other normal tissue, the VTs in the tumor represent specific accumulation in this region.

FIGURE 7.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 7.

(A) Representative time–activity curves derived from 60-min dynamic PET scans. (B) Kinetic parameter quantifications BpND and VT for tumor and main organs. BpND = binding potential; VT = volume of distribution.

DISCUSSION

Noninvasive PET imaging of integrin αvβ3 has become an important tool for tumor diagnosis and treatment monitoring in both preclinical and clinical studies (4,29–31). Currently, several 18F-labeled RGD peptides have been evaluated in clinical trials, and a more widespread use of PET imaging of integrin expression is expected in the near future. 18F-FPPRGD2 is one of the promising radiolabeled RGD peptides, with desirable pharmacokinetic properties for clinical noninvasive PET imaging of αvβ3 expression. It shows high binding affinity to integrins and favorable pharmacokinetics, with quick renal clearance in the body. However, the time-consuming multiple-step synthetic procedure required for 18F-FPPRGD2 preparation may hinder the widespread use of this 18F-labeled RGD tracer. The rather complex synthesis of other RGD peptides being tested in the clinic, for example, 18F-galacto-RGD, also hampers its broad use in large clinical studies (4). We developed a simple lyophilized kit for 18F labeling with RGD peptide, which would provide a useful platform for commercial development.

The kit and formulation were optimized with regard to reaction temperature, pH value of the buffer, reaction time, and 18F activity (supplemental data). These studies confirmed the excellent labeling yield under the optimal conditions, which was higher than previously reported (5%–25%) (21). Our experience showed that the alfatide-labeling method is reliable, giving similar labeling yields from day to day. And after more than 100 kit labels, we haven’t encountered even a single failure. By formulating peptides into kits, uncertainties about obtaining a successful labeled product can be avoided. Because of the simplicity of the method, an advantage is that additional studies can be easily performed in a single day. Radiochemical stabilities of radiopharmaceuticals stored over extended periods, including self-radiolysis, are critical to their safe, effective use in the diagnosis and treatment of disease. Only minor changes were observed in the radiochemical composition of up to 4 h (with 1.8% radiochemical decomposition). This rate of change was acceptable for clinical 18F-labeling preparations over this period and suitable for in vivo use for at least 4 h after the preparation.

In this study, we successfully showed the feasibility of PET imaging of αvβ3 expression in lung squamous carcinoma and adenomatous carcinoma patients with good contrast using 18F-AlF-NOTA-PRGD2 (18F-alfatide). To the best of our knowledge, this is the first time that this 1-step synthesized 18F-labeled RGD peptide was applied to the clinic for noninvasive determination of αvβ3 expression. No adverse events were found in the first human subject during the pilot study. The biodistribution showed low tracer uptake in background (lung) and muscle, with high tumor-to-background ratios, resulting in desirable image contrast and clear identification of most primary tumors and metastatic lesions. The tumor-to-blood and tumor-to-muscle ratios of 18F-alfatide in lung cancer were consistent with the corresponding value of 18F-galacto-RGD (32) in head and neck tumors and higher than the corresponding value of 99mTc-3PRGD2 (33) in lung cancers. The relatively low background in specific tissues and organs such as the lungs and breast may allow clear diagnosis and evaluation of tumors present in these areas. Clear background in the brain will also fulfill brain tumor or metastatic lesion detection because the existence of tumors will result in broken blood–brain barrier (31).

Dynamic PET scans and kinetic modeling were performed to further analyze the pharmacokinetics of 18F-alfatide, which shows favorable pharmacokinetic parameters with high binding potential, demonstrating desirable binding affinity to integrin expression in vivo. The VTs for tumor were substantially higher than those of muscle and other background, suggesting specific binding of the tracer. Immunohistochemistry results confirmed the αvβ3 expression in tumor cells and neovasculature in squamous carcinoma patients. All these encouraging results indicate that PET with 18F-alfatide prepared from a lyophilized kit can be applied to study αvβ3 expression during tumor progress and angiogenesis.

CONCLUSION

18F-alfatide can be produced with excellent radiochemical yield and purity via a simple, 1-step lyophilized kit that can be ready for patient injection within 30 min. 18F-alfatide PET allows specific imaging of αvβ3 expression in lung cancers with good contrast. This technique can be used for the assessment of angiogenesis and for planning and response evaluation of therapies that affect angiogenesis. More pilot studies of 18F-alfatide in patients are required to further demonstrate the feasibility of antiangiogenic therapies combined with chemotherapy or radiotherapy in the future.

DISCLOSURE

The costs of publication of this article were defrayed in part by the payment of page charges. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734. This work was supported by the National Basic Research Program of China (973 program, 2013CB733802); the National Science Foundation of China (NSFC) (81028009, 81171399, 81101077, and 60972099); Jiangsu Province Social Development Program (BE2012622); Outstanding Professional Fund of Health Ministry in Jiangsu Province (RC2011095); Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH); and China Scholarship Council (CSC). No other potential conflict of interest relevant to this article was reported.

Footnotes

  • ↵* Contributed equally to this work.

  • Published online Apr. 3, 2013.

  • © 2013 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

REFERENCES

  1. 1.↵
    1. Singh M,
    2. Ferrara N
    . Modeling and predicting clinical efficacy for drugs targeting the tumor milieu. Nat Biotechnol. 2012;30:648–657.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Kubota Y
    . Tumor angiogenesis and anti-angiogenic therapy. Keio J Med. 2012;61:47–56.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Chauhan VP,
    2. Stylianopoulos T,
    3. Martin JD,
    4. et al
    . Normalization of tumour blood vessels improves the delivery of nanomedicines in a size-dependent manner. Nat Nanotechnol. 2012;7:383–388.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Beer AJ,
    2. Kessler H,
    3. Wester HJ,
    4. Schwaiger M
    . PET imaging of integrin αvβ3 Expression. Theranostics. 2011;1:48–57.
    OpenUrlPubMed
  5. 5.↵
    1. Haubner R,
    2. Wester HJ
    . Radiolabeled tracers for imaging of tumor angiogenesis and evaluation of anti-angiogenic therapies. Curr Pharm Des. 2004;10:1439–1455.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Mittra ES,
    2. Goris ML,
    3. Iagaru AH,
    4. et al
    . Pilot pharmacokinetic and dosimetric studies of 18F-FPPRGD2: a PET radiopharmaceutical agent for imaging αvβ3 integrin levels. Radiology. 2011;260:182–191.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Hood JD,
    2. Cheresh DA
    . Role of integrins in cell invasion and migration. Nat Rev Cancer. 2002;2:91–100.
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. Brooks PC,
    2. Montgomery AM,
    3. Rosenfeld M,
    4. et al
    . Integrin αvβ3 antagonists promote tumor regression by inducing apoptosis of angiogenic blood vessels. Cell. 1994;79:1157–1164.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Niu G,
    2. Chen X
    . Why integrin as a primary target for imaging and therapy. Theranostics. 2011;1:30–47.
    OpenUrlPubMed
  10. 10.↵
    1. Zhou Y,
    2. Chakraborty S,
    3. Liu S
    . Radiolabeled cyclic RGD peptides as radiotracers for imaging tumors and thrombosis by SPECT. Theranostics. 2011;1:58–82.
    OpenUrlPubMed
  11. 11.↵
    1. Morrison M,
    2. Cuthbertson A
    . Integrin imaging to evaluate treatment response. Theranostics. 2011;1:149–153.
    OpenUrlPubMed
  12. 12.
    1. Liu S,
    2. Liu H,
    3. Ren G,
    4. Kimura RH,
    5. Cochran JR,
    6. Cheng Z
    . PET imaging of integrin positive tumors using 18F labeled knottin peptides. Theranostics. 2011;1:403–412.
    OpenUrlCrossRefPubMed
  13. 13.↵
    1. Lang L,
    2. Li W,
    3. Jia HM,
    4. et al
    . New methods for labeling RGD peptides with Bromine-76. Theranostics. 2011;1:341–353.
    OpenUrlPubMed
  14. 14.↵
    1. Chen X,
    2. Park R,
    3. Shahinian AH,
    4. et al
    . 18F-labeled RGD peptide: initial evaluation for imaging brain tumor angiogenesis. Nucl Med Biol. 2004;31:179–189.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Chen X,
    2. Liu S,
    3. Hou Y,
    4. et al
    . MicroPET imaging of breast cancer αvβ3-integrin expression with 64Cu-labeled dimeric RGD peptides. Mol Imaging Biol. 2004;6:350–359.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Jeong JM,
    2. Hong MK,
    3. Chang YS,
    4. 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.
    OpenUrlAbstract/FREE Full Text
  17. 17.↵
    1. Li ZB,
    2. Chen K,
    3. Chen X
    . 68Ga-labeled multimeric RGD peptides for microPET imaging of integrin αvβ3 expression. Eur J Nucl Med Mol Imaging. 2008;35:1100–1108.
    OpenUrlCrossRefPubMed
  18. 18.↵
    1. Jacobson O,
    2. Zhu L,
    3. Niu G,
    4. et al
    . MicroPET imaging of integrin αvβ3 expressing tumors using 89Zr-RGD peptides. Mol Imaging Biol. 2011;13:1224–1233.
    OpenUrlCrossRefPubMed
  19. 19.↵
    1. Kenny LM,
    2. Coombes RC,
    3. Oulie I,
    4. et al
    . Phase I trial of the positron-emitting Arg-Gly-Asp (RGD) peptide radioligand 18F-AH111585 in breast cancer patients. J Nucl Med. 2008;49:879–886.
    OpenUrlAbstract/FREE Full Text
  20. 20.↵
    1. Shi J,
    2. Zhou Y,
    3. Chakraborty S,
    4. et al
    . Evaluation of in-labeled cyclic RGD peptides: effects of peptide and linker multiplicity on their tumor uptake, excretion kinetics and metabolic stability. Theranostics. 2011;1:322–340.
    OpenUrlPubMed
  21. 21.↵
    1. Lang L,
    2. Li W,
    3. Guo N,
    4. 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.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Guo N,
    2. Lang L,
    3. Li W,
    4. 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.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Guo N,
    2. Lang L,
    3. Gao H,
    4. et al
    . Quantitative analysis and parametric imaging of 18F-Labeled monomeric and dimeric RGD peptides using compartment model. Mol Imaging Biol. 2012;6:743–752.
    OpenUrl
  24. 24.↵
    1. Logan J,
    2. Fowler JS,
    3. Volkow ND,
    4. et al
    . Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl]-(-)-cocaine PET studies in human subjects. J Cereb Blood Flow Metab. 1990;10:740–747.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Kimura Y,
    2. Naganawa M,
    3. Shidahara M,
    4. Ikoma Y,
    5. Watabe H
    . PET kinetic analysis–pitfalls and a solution for the Logan plot. Ann Nucl Med. 2007;21:1–8.
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Ferl GZ,
    2. Dumont RA,
    3. Hildebrandt IJ,
    4. et al
    . Derivation of a compartmental model for quantifying 64Cu-DOTA-RGD kinetics in tumor-bearing mice. J Nucl Med. 2009;50:250–258.
    OpenUrlAbstract/FREE Full Text
  27. 27.↵
    1. Logan J,
    2. Fowler JS,
    3. Volkow ND,
    4. Wang GJ,
    5. Ding YS,
    6. Alexoff DL
    . Distribution volume ratios without blood sampling from graphical analysis of PET data. J Cereb Blood Flow Metab. 1996;16:834–840.
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Liu S,
    2. Liu H,
    3. Jiang H,
    4. Xu Y,
    5. Zhang H,
    6. Cheng Z
    . One-step radiosynthesis of 18F-AlF-NOTA-RGD2 for tumor angiogenesis PET imaging. Eur J Nucl Med Mol Imaging. 2011;38:1732–1741.
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Chen X
    . Multimodality imaging of tumor integrin αvβ3 expression. Mini Rev Med Chem. 2006;6:227–234.
    OpenUrlCrossRefPubMed
  30. 30.
    1. Battle MR,
    2. Goggi JL,
    3. Allen L,
    4. Barnett J,
    5. Morrison MS
    . Monitoring tumor response to antiangiogenic sunitinib therapy with 18F-fluciclatide, an 18F-labeled αvβ3-integrin and αvβ5-integrin imaging agent. J Nucl Med. 2011;52:424–430.
    OpenUrlAbstract/FREE Full Text
  31. 31.↵
    1. Chin FT,
    2. Shen B,
    3. Liu S,
    4. et al
    . First experience with clinical-grade [18F]FPP(RGD)2: an automated multi-step radiosynthesis for clinical PET studies. Mol Imaging Biol. 2012;14:88–95.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Beer AJ,
    2. Grosu AL,
    3. Carlsen J,
    4. et al
    . [18F]galacto-RGD positron emission tomography for imaging of αvβ3 expression on the neovasculature in patients with squamous cell carcinoma of the head and neck. Clin Cancer Res. 2007;13:6610–6616.
    OpenUrlAbstract/FREE Full Text
  33. 33.↵
    1. Zhu Z,
    2. Miao W,
    3. Li Q,
    4. et al
    . 99mTc-3PRGD2 for integrin receptor imaging of lung cancer: a multicenter study. J Nucl Med. 2012;53:716–722.
    OpenUrlAbstract/FREE Full Text
  • Received for publication September 5, 2012.
  • Accepted for publication November 12, 2012.
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 54 (5)
Journal of Nuclear Medicine
Vol. 54, Issue 5
May 1, 2013
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
First Experience of 18F-Alfatide in Lung Cancer Patients Using a New Lyophilized Kit for Rapid Radiofluorination
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
First Experience of 18F-Alfatide in Lung Cancer Patients Using a New Lyophilized Kit for Rapid Radiofluorination
Weixing Wan, Ning Guo, Donghui Pan, Chunjing Yu, Yuan Weng, Shineng Luo, Hong Ding, Yuping Xu, Lizhen Wang, Lixin Lang, Qingguo Xie, Min Yang, Xiaoyuan Chen
Journal of Nuclear Medicine May 2013, 54 (5) 691-698; DOI: 10.2967/jnumed.112.113563

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
First Experience of 18F-Alfatide in Lung Cancer Patients Using a New Lyophilized Kit for Rapid Radiofluorination
Weixing Wan, Ning Guo, Donghui Pan, Chunjing Yu, Yuan Weng, Shineng Luo, Hong Ding, Yuping Xu, Lizhen Wang, Lixin Lang, Qingguo Xie, Min Yang, Xiaoyuan Chen
Journal of Nuclear Medicine May 2013, 54 (5) 691-698; DOI: 10.2967/jnumed.112.113563
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • DISCLOSURE
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • 18F-Alfatide II PET/CT for Identification of Breast Cancer: A Preliminary Clinical Study
  • 18F-AlF-Labeled Biomolecule Conjugates as Imaging Pharmaceuticals
  • Recent Advances in 18F Radiochemistry: A Focus on B-18F, Si-18F, Al-18F, and C-18F Radiofluorination via Spirocyclic Iodonium Ylides
  • In Vivo Imaging of the Programmed Death Ligand 1 by 18F PET
  • RGD PET: From Lesion Detection to Therapy Response Monitoring
  • Can an 18F-ALF-NOTA-PRGD2 PET/CT Scan Predict Treatment Sensitivity to Concurrent Chemoradiotherapy in Patients with Newly Diagnosed Glioblastoma?
  • PET-Based Human Dosimetry of the Dimeric {alpha}v{beta}3 Integrin Ligand 68Ga-DOTA-E-[c(RGDfK)]2, a Potential Tracer for Imaging Tumor Angiogenesis
  • Harnessing the Power of Molecular Imaging for Precision Medicine
  • 68Ga-NOTA-PRGD2 PET/CT for Integrin Imaging in Patients with Lung Cancer
  • In Vivo Evaluation of 18F-SiFAlin-Modified TATE: A Potential Challenge for 68Ga-DOTATATE, the Clinical Gold Standard for Somatostatin Receptor Imaging with PET
  • 18F-FPRGD2 PET/CT Imaging of Integrin {alpha}v{beta}3 in Renal Carcinomas: Correlation with Histopathology
  • Effect of Chelate Type and Radioisotope on the Imaging Efficacy of 4 Fibrin-Specific PET Probes
  • Al18F Labeling of Affibody Molecules
  • Interrogating Tumor Metabolism and Tumor Microenvironments Using Molecular Positron Emission Tomography Imaging. Theranostic Approaches to Improve Therapeutics
  • Al18F: A New Standard for Radiofluorination
  • Google Scholar

More in this TOC Section

  • Feasibility of Ultra-Low-Activity 18F-FDG PET/CT Imaging Using a Long–Axial-Field-of-View PET/CT System
  • Cardiac Presynaptic Sympathetic Nervous Function Evaluated by Cardiac PET in Patients with Chronotropic Incompetence Without Heart Failure
  • Validation and Evaluation of a Vendor-Provided Head Motion Correction Algorithm on the uMI Panorama PET/CT System
Show more Clinical Investigations

Similar Articles

Keywords

  • RGD peptide
  • alfatide
  • aluminum fluoride
  • PET
  • lung cancer
SNMMI

© 2025 SNMMI

Powered by HighWire