Abstract
A single dynamic PET acquisition using multiple tracers administered closely in time could provide valuable complementary information about a tumor’s status under quasi-constant conditions. This study aims to investigate the utility of dual-tracer dynamic PET imaging with 18F-Alfatide II (18F-AlF-NOTA-E[PEG4-c(RGDfk)]2) and 18F-FDG for parametric monitoring of tumor responses to therapy.
Methods
We administered doxorubicin to one group of athymic nude mice with U87MG tumors and Abraxane to another group of mice with MDA-MB-435 tumors. To monitor therapeutic responses, we performed dual-tracer dynamic imaging, in sessions that lasted 90 min, starting by injecting the mice via tail vein catheters with 18F-Alfatide II, followed 40 minutes later by 18F-FDG. To achieve signal separation of the two tracers, we fit a three-compartment reversible model to the time activity curve (TAC) of 18F-Alfatide II for the 40 min prior to 18F-FDG injection, and then extrapolated to 90 min. The 18F-FDG tumor TAC was isolated from the 90 min dual tracer tumor TAC by subtracting the fitted 18F-Alfatide II tumor TAC. With separated tumor TACs, the 18F-Alfatide II binding potential (Bp=k3/k4) and volume of distribution (VD), and 18F-FDG influx rate ((K1×k3)/(k2 + k3)) based on the Patlak method were calculated to validate the signal recovery in a comparison with 60-min single tracer imaging and to monitor therapeutic response.
Results
The transport and binding rate parameters K1-k3 of 18F-Alfatide II, calculated from the first 40 min of dual tracer dynamic scan, as well as Bp and VD, correlated well with the parameters from the 60 min single tracer scan (R2 > 0.95). Compared with the results of single tracer PET imaging, FDG tumor uptake and influx were recovered well from dual tracer imaging. Upon doxorubicin treatment, while no significant changes in static tracer uptake values of 18F-Alfatide II or 18F-FDG were observed, both 18F-Alfatide II Bp and 18F-FDG influx from kinetic analysis in tumors showed significant decreases. For Abraxane therapy of MDA-MB-435 tumors, significant decrease was only observed with 18F-Alfatide II Bp value from kinetic analysis but not 18F-FDG influx.
Conclusion
The parameters fitted with compartmental modeling from the dual tracer dynamic imaging are consistent with those from single tracer imaging, substantiating the feasibility of this methodology. Even though no significant differences in tumor size were found until 5 days after doxorubicin treatment started, at day 3 there were already substantial differences in 18F-Alfatide II Bp and 18F-FDG influx rate. Dual tracer imaging can measure 18F-Alfatide II Bp value and 18F-FDG influx simultaneously to evaluate tumor angiogenesis and metabolism. Such changes are known to precede anatomical changes, and thus parametric imaging may offer the promise of early prediction of therapy response.
Keywords: dual-tracer dynamic PET, parametric imaging, 18F-Alfatide II, 18F-FDG, therapy response
Positron emission tomography (PET) is arguably the most sensitive and specific technique for imaging molecular pathways in vivo in humans. Moreover, the availability of tracers sensitive to different physiological and pharmacological variables enables PET to characterize multiple aspects of oncologic pathology, including metabolism, angiogenesis, cellular proliferation, blood flow and hypoxia (1, 2). Given the complexity and heterogeneity of malignant lesions, such complementary information can facilitate comprehensive evaluation of tumors, and improve early detection, staging, and monitoring of therapeutic responses (3–7).
For example, Tseng et al. (5) concurrently measured blood flow with 15O-water and glucose metabolism with 18F-FDG in locally advanced breast cancer, and reported that a low ratio of glucose metabolism to blood flow predicted a favorable therapeutic response. In our previous studies, we employed 18F-FPPRGD2, a peptide that quantifies integrin αvβ3 expression, and 18F-FDG to evaluate tumor angiogenesis and metabolism modulations in response to the VEGFRTK inhibitor ZD4190 (7), to Abraxane (6), and to the vascular disruptive fusion protein VEGF121/rGel (8). Longitudinal imaging results indicated that even though much higher tumor uptake was found in 18F-FDG imaging, therapeutic effect was more clearly reflected by 18F-FPPRGD2 imaging. However, the multiple-step synthetic procedure required to prepare 18F-FPPRGD2 with relatively low yield may limit its widespread use (9). Consequently, a novel dimeric RGD peptide tracer has been prepared with the reaction of 18F-aluminum-fluoride complex to pre-attached chelator on RGD peptides (10). Without the need of HPLC purification, the ease of preparation and high imaging qualities make 18F-AlF-NOTA-PRGD2 a promising alternative to 18F-FPPRGD2 for PET imaging of αvβ3 integrin expression (10–12).
By taking advantage of the distinct kinetics of different tracers, nearly simultaneous multi-tracer imaging can be achieved by closely staggering tracer injections during a single scan (13–17). Many studies using simulated data have demonstrated the feasibility of signal separation with dual tracer dynamic PET imaging (13–17). PET imaging with different tracers that partially overlap in time has advantages, relative to PET imaging with widely separated administration of the tracers, by reducing the cost and time of the imaging, and by providing complementary information under quasi-constant physiological conditions (14, 18). Dynamic parameters for each tracer may provide more sensitive quantification in tumor therapy monitoring than static tumor uptake values (19). In addition, the radiation dose is reduced in multi-tracer single-scan imaging, because only one CT scan is needed for attenuation correction and/or co-registration of images for the tracers.
Dynamic PET imaging using 18F-FDG, followed by irreversible compartmental modeling, has been intensively studied (5). Our previous studies showed that the kinetics of RGD-based peptide tracer satisfies the reversible three-compartment model (19). In this study, we conducted dynamic imaging with dual tracers 18F-AlF-NOTA-E[PEG4-c(RGDfk)]2 (denoted as 18F-Alfatide II) (20) and 18F-FDG in xenograft tumor models to monitor tumor therapy response to either doxorubicin or Abraxane. 18F-Alfatide II and 18F-FDG tumor time-activity curves (TACs) were separated by using compartmental modeling. To validate the signal recovery, the dynamic parameters calculated from dual tracer TACs were compared with those from single tracer imaging. Then the tumor response to drug treatment was assessed based on tumor uptake, 18F-Alfatide II Bp, and 18F-FDG influx rate (5, 6).
MATERIALS AND METHODS
Preparation of the Imaging Tracers
The PEG4-E[c(RGDfK)2] was synthesized by C S Bio (Menlo Park, CA). The NOTA-NHS ester was obtained from CheMatech (Dijon, France). The coupling of NOTA-NHS ester to the amine of RGD peptide was performed using dimethylformamide (DMF) as the solvent and N,N-diisopropylethylamine(DIPEA) as the base. The purity of NOTA-PEG4-E[c(RGDfK)2] was > 97% by analytical HPLC (Rt = 14.2 min) running a linear gradient starting from 5% A (0.1% TFA in acetonitrile) and 95% B (0.1% TFA in water) for 5 min and increasing to 65% A at 35 min with a flow rate of 1 ml/min. The reaction yield was 69%. LC-MS: [MH]+= 1850.7869 (m/z), calc: 1849.9322 (C82H127N23O26).
The 18F-fluoride in O-18 water was obtained from the NIH cyclotron facility. The radiolabeling of NOTA-PEG4-E[c(RGDfK)2] with 18F-aluminum fluoride was performed according to a previously published procedure with some modifications (21). The total synthesis time was about 30 min with radiochemical yield of 40–60% and radiochemical purity > 95%. The specific activity was about 14.8–37 GBq/μmol at the end of synthesis based on the amount of peptide used and the amount of radioactivity trapped on the C-18 column. The final product was named 18F-Alfatide II (18F-AlF-NOTA-E[PEG4-c(RGDfk)]2). 18F-FDG was purchased from the Nuclear Pharmacy of Cardinal Health and was diluted, as appropriate, with sterile saline.
Tumor Model and Treatment Protocol
All animal studies were conducted in accordance with the principles and procedures outlined in the Guide for the Care and Use of Laboratory Animals and were approved by the Institutional Animal Care and Use Committee of the Clinical Center, NIH. The U87MG cells expressing high level of αvβ3 integrin (22) and the MDA-MB-435 cells with medium level of αvβ3 integrin expression were purchased from the American Type Culture Collection (ATCC) and cultured in MEM and Leibovitz’s L-15 medium supplemented with 10% fetal bovine serum in a humidified atmosphere of 5% CO2 at 37°C, respectively. The tumor models were established by inoculating the right shoulder of 5- to 6-week old female athymic nude mice (Harlan Laboratories) subcutaneously with 1×107 U87MG cells or 6×106 MDA-MB-435 cells in 100 μl PBS. The mice underwent PET scans when the tumor volume reached 200–400 mm3 (about 3~4 weeks after inoculation). For the therapy monitoring study, U87MG tumor-bearing mice in the treated group were given two doses of doxorubicin (5 mg/kg/dose) two days apart via tail vein injection, while the MDA-MB-435 tumor-bearing mice were given two doses of Abraxane (30 mg/kg/dose) every other day via tail vein injection. All the mice in the control group were injected with the same volume of saline. The detailed therapy and imaging regimen was shown in Table 1. Tumor growth was monitored by measuring tumor size with a caliper every 2 days after the tumors became palpable. The tumor volume was calculated with the formula a×(b2)/2, where a and b were the tumor length and width, respectively, in mm.
Table 1.
Groups | Day 0 | Day 1 | Day 2 | Day 3 | |
---|---|---|---|---|---|
18F-Alfatide II imaging (40 min vs. 60 min) (U87MG: 7 mice; MDA-MB-435: 8 mice) | |||||
| |||||
1 | (n = 15) | + | |||
| |||||
18F-FDG signal recovery validation (U87MG: 6 mice; MDA-MB-435: 8 mice) | |||||
| |||||
2 | (n=15) | ※ | # | ||
| |||||
Therapy monitoring (U87MG) | |||||
| |||||
3 | Control (n=4) | # | # | ||
Treated (n=5) | #, Δ | Δ | # | ||
| |||||
Therapy monitoring (MDA-MB-435) | |||||
| |||||
4 | Control (n=6) | # | # | ||
Treated (n=8) | #, ± | ± | # |
+ 18F-Alfatide II imaging; ※ 18F-FDG imaging; # 18F-Alfatide II and 18F-FDG dual tracer imaging; Δ Doxorubicin treatment; ± Abraxane treatment
Dynamic PET Imaging
All the PET scans were conducted with an Inveon small-animal PET scanner (Siemens Preclinical Solution). Mice were anesthetized with mixtures of 1 ml/min O2 and 1.5% isoflurane and kept warm with a heating pad thermostat during the imaging. All data acquisitions were initiated immediately before the tracer injections. The duration of a scan was 60 min for single tracer imaging and 90 min for 18F-Alfatide II/18F-FDG dual tracer imaging. A catheter was placed in the tail vein before each scan for tracer administration. For dual tracer imaging, about 3.7 MBq of 18F-Alfatide II was injected through the catheter immediately after the scan was started. Forty minutes later, about 3.7 MBq of 18F-FDG was injected without stopping the scanning. For therapy response monitoring, mice in both control and treated groups underwent dual tracer dynamic imaging on day 0 and day 3. The acquired list mode data were reconstructed with 3D-OSEM followed by the MAP algorithm (11). The reconstruction frames were 1×5s, 1×25s, 9×30s, 5×60s, 5×120s and 10×240s for single tracer dynamic imaging and 1×5s, 1×25s, 9×30s, 10×60s, 4×300s, 1×240s, 12×30s, 10×60s, 7×300s for dual tracer dynamic imaging.
ROI Quantification and Time Activity Curves
The regions of interest (ROIs) were drawn over the tumor region using Inveon Research Workplace (IRW) 3.0 software (Siemens Preclinical Solution), using a procedure reported in our previous study (11). For dual tracer dynamic imaging, the TACs were generated based on mean pixel intensity of the whole ROI in each frame before the signal separation. A calibration constant was used to convert the mean pixel intensity to μCi/ml for separated TACs. As the tissue density was assumed to be 1 g/ml, the activity in ROI was normalized by injected dose and expressed as percent injected dose per gram (%ID/g) to describe the tissue uptake of the radiotracers. The injected dose for the second tracer, 18F-FDG, was decay-corrected to the starting time of the scanning to reflect the real tumor uptake. The tumor uptake of 18F-Alfatide II in static image quantification was calculated from the last frame before 18F-FDG injection. 18F-FDG uptake was calculated at the 50min time point on the restored 18F-FDG TACs.
The arterial input function was drawn on the abdominal aorta (23) on the second frame of PET dynamic image serials. The first frame was left empty purposely to make sure the peak concentration could be captured.
Dual Tracer Input Function and Tumor TAC Separation
The 18F-Alfatide II input function was fitted with a tri-exponential model (24) for the first 40 min of data. The mathematical expression for the model is shown in Eq. 1
(1) |
Where Cp represents the tracer concentration in plasma. A1, A2 and A3 are coefficients of the model and λ1, λ2 and λ3 are the eigen values of the model. τ is the injection delay time.
For tumor TAC separation, three-compartment reversible model was used to fit the initial 40 min of 18F-Alfatide II data. The dynamic rate constants K1-k4 were determined by fitting the following function for tumor TAC.
(2.1) |
(2.2) |
(2.3) |
Here Ct is the tracer concentration in tumor ROI and Vb is the fractional blood volume.
Similarly, K1-k4 were then imported back into the Eq. 2.1–2.3 to extrapolate the 18F-Alfatide II TAC to 90 min. Subsequently, the 18F-FDG tumor TAC was restored by subtracting the fitted 90 min 18F-Alfatide II TAC from the overlapping TAC in the dual tracer imaging.
The fitting method for the input function and the tumor TACs, alike, was unweighted least squares nonlinear regression. The correlation coefficient R2, defined as the ratio of regression sum of squares (RSS) and the total sum of squares (TSS), was calculated to evaluate the goodness of fit (25).
Kinetic Data Analysis
The combination binding potential (Bp=k3/k4) and volume of distribution (VD=(K1/k2)×(1+k3/k4)) were calculated, in addition to K1-k4, for 18F-Alfatide II. Bp is associated with the binding affinity and VD reflects the tissue-to-plasma concentration ratio. The Patlak method was performed to calculate the influx rate constant for 18F-FDG, a well-known irreversible tracer. The influx rate is related to the metabolic rate of glucose (MRglu) (26).
Logan graphical analysis (19) was used in the therapeutic monitoring study to calculate a voxel-wise parametric map of 18F-Alfatide II Bp values, using data from the dynamic whole body images obtained during the first 40 min of the study, i.e., before injection of 18F-FDG.
Statistics
Linear regression was used to compare the results from single tracer and dual tracer imaging and evaluated by ANOVA F test to validate the significance of regression, with a P value of < 0.05 indicating significant linearity. For therapeutic monitoring, quantitative data were expressed as mean ± SD. Means were compared using Student’s t test. A P value of < 0.05 was considered statistically significant.
RESULTS
Time Activity Curves and Dual Tracer TAC Separation
After dynamic acquisition and imaging reconstruction, ROIs were drawn over the abdominal aorta and tumor region to generate the corresponding dual tracer TACs (Supplementary Figure 1). In order to evaluate the robustness of the non-linear regression, a regression coefficient of each animal was calculated, and listed in Table 2. R2 ranged from 0.92 to 1.0, indicating a good fit for all.
Table 2.
Mouse | 18F-Alfatide II (R2) | 18F-FDG (R2) | ||
---|---|---|---|---|
| ||||
Input function | Tumor TAC | Input function | Tumor TAC | |
U87MG | ||||
1 | 0.9984 | 0.9947 | 0.9968 | 0.9631 |
2 | 0.9995 | 0.9959 | 0.9969 | 0.9971 |
3 | 0.9993 | 0.9970 | 0.9949 | 0.9915 |
4 | 0.9972 | 0.9888 | 0.9950 | 0.9981 |
5 | 0.9977 | 0.9787 | 0.9965 | 0.9237 |
6 | 0.9985 | 0.9918 | 0.9863 | 0.9595 |
MDA-MB-435 | ||||
1 | 0.9990 | 0.9966 | 0.9846 | 0.9990 |
2 | 0.9989 | 0.9952 | 0.9948 | 0.9990 |
3 | 0.9990 | 0.9939 | 0.9794 | 0.9965 |
4 | 0.9987 | 0.9960 | 0.9479 | 0.9973 |
5 | 0.9988 | 0.9985 | 0.9947 | 0.9970 |
6 | 0.9991 | 0.9971 | 0.9956 | 0.9962 |
7 | 0.9986 | 0.9863 | 0.9949 | 0.9927 |
8 | 0.9944 | 0.9941 | 0.9860 | 0.9937 |
R2, nonlinear regression correlation coefficient
Average U87MG tumor uptake TACs were calculated and are shown in Figure 1A for 18F-Alfatide II and Figure 1B for 18F-FDG, respectively. In the dual tracer imaging study the tumor uptake of 18F-Alfatide II was 4.65 ± 1.02 %ID/g at 40 min and the uptake of 18F-FDG was 11.31 ± 1.61 %ID/g at 50 min. In the single tracer imaging study the tumor uptake of 18F-Alfatide II was 4.38 ± 1.43 %ID/g at 40 min and the uptake of 18F-FDG was 10.81 ± 0.81 %ID/g at 50 min. There is no significant difference between the values calculated from the single tracer imaging and dual tracer imaging. Similarly, the average MDA-MB-435 tumor uptake TACs from the dual tracer imaging fitted very well with that from the single tracer imaging (Figure 1C & D). The MDA-MB-435 tumor uptake values of 18F-FDG and 18F-Alfatide II from the dual tracer imaging were 7.19 ± 1.31 and 2.79 ± 0.47 %ID/g respectively and showed no significant difference with those from the single tracer imaging (6.96 ± 1.13 and 2.73 ± 0.64 %ID/g respectively).
Kinetic Parameters Evaluation
18F-Alfatide II kinetic parameters, such as K1, k2 and k3, calculated from the 40 min and 60 min dynamic scans showed excellent linear correlation (R2 > 0.98), while k4 showed modest (but still statistically significant, P < 0.05) correlation (R2 = 0.76) (Supplementary Figure 2). Excellent linear correlations were also found for VD (R2 = 0.95) and Bp (R2 = 0.98), indicating VD and Bp derived from the 40 min scan were very consistent with the ones derived from the 60 min scan (Figure 2A & B).
Kinetic parameter comparisons for 18F-FDG between single and dual tracer imaging are shown in Figure 2C & D. The correlation coefficients, R2, for tumor influx and uptake between single tracer and dual tracer imaging were 0.70 and 0.79, respectively. Significant linear correlation was also observed between these parameters (P < 0.05), confirming the feasibility of the signal separation and parameter calculations.
Evaluation of Tumor Response to Doxorubicin and Abraxane
After being treated with two doses of doxorubicin, the U87MG tumors showed a partial response, reflected by significant growth inhibition at day 5 after the treatment started (P < 0.05, Figure 3A). Tumors in representative static images at 40 min and 90 min time points clearly had heterogeneous tracer distribution within the tumor region in both control and treated groups. The parametric maps of 18F-Alfatide II Bp value were also calculated and are shown in Figure 3B.
Through specific binding to integrin αvβ3, 18F-Alfatide II was used to evaluate tumor angiogenesis. In untreated tumors, tumor uptake at 40 min p.i. showed a slight increase with a day-3 to day-0 ratio of 1.18 ± 0.36. Upon treatment, the tumor uptake of 18F-Alfatide II decreased with a day-3 to day-0 ratio of 0.86 ± 0.15. However, the static tumor uptake ratio showed no significant difference between the control and treated groups at 40 min p.i. (P > 0.05). The Bp value increased substantially from day 0 to day 3 in the control group, but decreased dramatically in the treated group. Consequently, the day-3 to day-0 Bp ratio of the control group (1.64 ± 0.02) is significantly higher than that of the treated group (0.53 ± 0.14, P < 0.01) (Figure 3C).
The tumor uptake of 18F-FDG on day 3 decreased slightly over day 0 in both the control and treated groups (Figure 3C), and to a greater extent in the treated group. Specifically, the day-3 to day-0 ratio of 18F-FDG tumor uptake was 0.95 ± 0.17 for the control group and 0.80 ± 0.16 for the treated group. However, the difference was not statistically significant (P > 0.05). 18F-FDG influx rate decreased in both the control and treated groups at day 3 (Figure 3C). The day-3 to day-0 ratio of influx rate was 0.79 ± 0.03 for the control group, which was significantly different from that for the treated group (0.54 ± 0.14, P < 0.05).
Treatment with Abraxane also induced a partial response on MDA-MB-435 tumors, reflected by significant growth inhibition at day 4 after the treatment started (P < 0.05, Figure 4A). As shown in Figure 4B, both treated and control tumors showed positive uptake of 18F-Alfatide II and 18F-FDG. Similar with doxorubicin treated U87MG tumors, the static tumor uptake ratio of both 18F-Alfatide II and 18F-FDG showed no significant difference between the control and treated groups (P > 0.05) (Figure 4C). The day-3 to day-0 ratio of 18F-FDG influx rate was 0.85 ± 0.17 for the control group, which was not significantly different from that for the treated group (0.80 ± 0.24, P > 0.05). The day-3 to day-0 Bp ratio of the treated group (0.66 ± 0.12) is significantly lower than that of the control group (0.97 ± 0.09, P < 0.01) (Figure 4C).
DISCUSSION
PET imaging using multiple tracers is expected to provide more complementary information than a single PET study using a single tracer, and thus might improve tumor diagnosis and therapeutic monitoring. Multiple, separate single-tracer studies to achieve this would be more costly and require longer total scan times, and—because of the delay between scans—wouldn’t provide information under quasi-consistent physiological conditions.
The fixed-energy gamma ray of positron emitters from the positron-electron annihilation, however, presents significant challenges for imaging multiple tracers simultaneously with one PET scan. Since the 1980s, several methods have been developed to separate the superimposed PET signals of multiple tracer scan (16, 27). For example, Koeppe et al. (16) performed computer simulations and human PET studies using pairs of 11C labeled tracers in a single scan to image different neurotransmitter-neuroreceptor systems, and demonstrated the feasibility of parameter estimation with compartmental modeling. Rust et al. (17) demonstrated the influence of injection timing, injection order and relative dose on signal separation based on simulated TACs after staggered injection of 62Cu-PTSM and 62Cu-ATSM. Short half-life isotopes, such as 11C (t1/2 = 20.4 min), 13N (t1/2 = 9.97 min) and 62Cu (t1/2 = 9.7 min), were mainly used in these studies to reduce the staggering time between tracer injection and the signal overlap. However, the accuracy of dynamic parameters estimation could be affected due to the limited detectable counts.
With a half-life of 109.8 min, F-18 is the most widely used positron emitting radioisotope for PET imaging. Most recently, Kadrmas et al. (28) simulated single scan dual-tracer 18F-FLT/18F-FDG PET imaging, characterizing the performance of recovered static and dynamic imaging measures for each tracer from dual-tracer datasets. In the current study, we conducted 18F-Alfatide II and 18F-FDG dual tracer dynamic imaging in one scan with a 40 min injection separation. After validating the data acquisition and analysis, we successfully applied this strategy to evaluate the tumor response to drug treatment.
The performance of signal separation with overlapping data in dual tracer imaging is affected mainly by tracer injection order, the dose of each tracer, and the injection delay. In our previous RGD kinetics analysis studies, RGD tracers showed fast circulation clearance and urinary excretion (6, 7, 9). In addition, RGD disposition was not affected by factors such as mouse blood glucose concentration. Therefore, we administered 18F-Alfatide II first for the dual tracer imaging, and 18F-FDG was injected later. In general, a higher dose of the second tracer is needed for dual tracer imaging, since it makes the signal of the second tracer stronger and less affected by the first one, which benefits parameters estimation. A 1:3 ratio between the first tracer and the second tracer has been suggested in a 62Cu-PTSM and 62Cu-ATSM dual tracer simulation study (17). In this study, about equivalent dose of 18F-Alfatide II and 18F-FDG were used, since the tumor uptake of 18F-FDG is much higher than that of 18F-Alfatide II (2–4 fold). In our previous study of 18F-labeled dimeric RGD peptides, tumor uptake reached equilibrium after 30 min p.i. (19); thus we chose 40 min for the injection time separation in the current study.
We validated signal recovery of the 18F-FDG from the overlapped dual tracer imaging data by performing 18F-FDG single tracer imaging on the same mice on the day prior to the dual tracer imaging. The reproducibility of 18F-FDG has been confirmed in mouse tumor xenografts with 6 h intervals (29). We also compared the imaging results from different days and excellent reproducibility was found (Supplementary Figure 3). Consequently, to simply the situation, we ignored the change of tumor FDG uptake at a time interval of 24 h. The tumor uptake and influx rate of 18F-FDG both showed good correlations between the single tracer imaging and dual tracer imaging, and the kinetic parameters calculated from the recovered FDG signal appeared to be able to reflect the real FDG accumulation.
It has been reported that doxorubicin could cause reduced tumor metabolism and angiogenesis (30–33). Based on the static image quantification, no significant differences in tumor uptake of 18F-Alfatide II and 18F-FDG were found after doxorubicin treatment, most possibly due to the relatively large inter-group variance and altered tumor microenvironment contributing to non-specific tumor uptake (19). Besides its definition as k3/k4, Bp value is also known as the ratio of Bmax and Kd, in which Bmax refers to the total number of receptors and Kd represents the affinity of any single receptor (34). After doxorubicin treatment, the reduced integrin αvβ3 receptor density (Bmax) resulted in a significant decrease of the Bp value (P < 0.01). The FDG influx rate showed decreased value upon treatment in both control and treated group, but was more pronounced in the treated group (P <0.05). The variance of the 18F-Alfatide II Bp value was more significant than that of FDG influx rate, indicating more changes in tumor angiogenesis than metabolism upon doxorubicin treatment. Similar findings were also confirmed in the Abraxane treatment. These results also suggest that dynamic analysis with compartmental modeling is more sensitive than the static measurement, substantiating the benefit of kinetic analysis presented in our previous study (19).
We have previously employed the left ventricle ROI to generate the input function, as there was very little myocardial uptake of RGD (19). However, this is not appropriate for 18F-FDG due to the inherent high myocardial uptake. Consequently, the abdominal aorta was chosen to outline the input function for the dual tracer imaging. Arterial blood sampling wasn’t performed in this study because of the technical challenge. A population-based input function (35) or one blood sample (24) at the end of dynamic imaging may be a good choice in our future studies.
To the best of our knowledge, this is the first experimental dual tracer data set to observe angiogenesis and glucose metabolism simultaneously. Based on our previous kinetics analysis of RGD peptides, an appropriate injection time separation was chosen and the signal of the second tracer was reliably recovered using compartmental modeling. Dual tracer single scan PET imaging may become a very useful method to provide more complete tumor information simultaneously.
CONCLUSIONS
In this study, we performed dual tracer dynamic imaging using staggered injections of 18F-Alfatide II and 18F-FDG for simultaneous observation of angiogenesis and metabolism, which serve as sensitive, early markers of tumor responses to therapy. The signal from each tracer was successfully separated with compartmental modeling. The tumor uptake values and dynamic parameters from recovered signals were validated with single tracer imaging. The dual tracer imaging was applied to monitor the tumor response to chemotherapeutics. We found that dual-tracer single-scan imaging can be used to reflect tumor response, and quantitative kinetic parameters calculated from dynamic data are more sensitive than static imaging.
Supplementary Material
Acknowledgments
This work was supported in part, by National Key Basic Research Program (973 Project) (2013CB733802), and by the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH).
References
- 1.Jones T. The imaging science of positron emission tomography. Eur J Nucl Med. 1996;23:807–813. doi: 10.1007/BF00843711. [DOI] [PubMed] [Google Scholar]
- 2.Niu G, Chen X. Apoptosis imaging: beyond annexin V. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2010;51:1659–1662. doi: 10.2967/jnumed.110.078584. [DOI] [PubMed] [Google Scholar]
- 3.Kubota K, Ishiwata K, Kubota R, et al. Tracer feasibility for monitoring tumor radiotherapy: a quadruple tracer study with fluorine-18-fluorodeoxyglucose or fluorine-18-fluorodeoxyuridine, L-[methyl-14C]methionine, [6-3H]thymidine, and gallium-67. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 1991;32:2118–2123. [PubMed] [Google Scholar]
- 4.Lehtio K, Oikonen V, Gronroos T, et al. Imaging of blood flow and hypoxia in head and neck cancer: initial evaluation with [(15)O]H(2)O and [(18)F]fluoroerythronitroimidazole PET. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2001;42:1643–1652. [PubMed] [Google Scholar]
- 5.Tseng J, Dunnwald LK, Schubert EK, et al. 18F-FDG kinetics in locally advanced breast cancer: correlation with tumor blood flow and changes in response to neoadjuvant chemotherapy. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2004;45:1829–1837. [PubMed] [Google Scholar]
- 6.Sun X, Yan Y, Liu S, et al. 18F-FPPRGD2 and 18F-FDG PET of response to Abraxane therapy. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2011;52:140–146. doi: 10.2967/jnumed.110.080606. [DOI] [PubMed] [Google Scholar]
- 7.Yang M, Gao H, Yan Y, et al. PET imaging of early response to the tyrosine kinase inhibitor ZD4190. European journal of nuclear medicine and molecular imaging. 2011;38:1237–1247. doi: 10.1007/s00259-011-1742-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Yang M, Gao H, Sun X, et al. Multiplexed PET probes for imaging breast cancer early response to VEGF(1)(2)(1)/rGel treatment. Mol Pharm. 2011;8:621–628. doi: 10.1021/mp100446t. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Liu S, Liu Z, Chen K, et al. 18F-labeled galacto and PEGylated RGD dimers for PET imaging of alphavbeta3 integrin expression. Mol Imaging Biol. 2010;12:530–538. doi: 10.1007/s11307-009-0284-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lang L, Li W, Guo N, et al. Comparison study of [18F]FAl-NOTA-PRGD2, [18F]FPPRGD2, and [68Ga]Ga-NOTA-PRGD2 for PET imaging of U87MG tumors in mice. Bioconjugate chemistry. 2011;22:2415–2422. doi: 10.1021/bc200197h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Guo N, Lang L, Li W, et al. Quantitative analysis and comparison study of [18F]AlF-NOTA-PRGD2, [18F]FPPRGD2 and [68Ga]Ga-NOTA-PRGD2 using a reference tissue model. PloS one. 2012;7:e37506. doi: 10.1371/journal.pone.0037506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Gao H, Lang L, Guo N, et al. PET imaging of angiogenesis after myocardial infarction/reperfusion using a one-step labeled integrin-targeted tracer 18F-AlF-NOTA-PRGD2. European journal of nuclear medicine and molecular imaging. 2012;39:683–692. doi: 10.1007/s00259-011-2052-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Black NF, McJames S, Kadrmas DJ. Rapid multi-tracer PET tumor imaging with 18F-FDG and secondary shorter-lived tracers. IEEE transactions on nuclear science. 2009;56:2750–2758. doi: 10.1109/TNS.2009.2026417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Black NF, McJames S, Rust TC, Kadrmas DJ. Evaluation of rapid dual-tracer (62)Cu-PTSM + (62)Cu-ATSM PET in dogs with spontaneously occurring tumors. Physics in medicine and biology. 2008;53:217–232. doi: 10.1088/0031-9155/53/1/015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kearfott KJ. Feasibility of simultaneous and sequentially administered dual tracer protocols for measurement of regional cerebral haematocrit using positron emission tomography. Physics in medicine and biology. 1990;35:249–258. doi: 10.1088/0031-9155/35/2/005. [DOI] [PubMed] [Google Scholar]
- 16.Koeppe RA, Raffel DM, Snyder SE, Ficaro EP, Kilbourn MR, Kuhl DE. Dual-[11C]tracer single-acquisition positron emission tomography studies. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 2001;21:1480–1492. doi: 10.1097/00004647-200112000-00013. [DOI] [PubMed] [Google Scholar]
- 17.Rust TC, Kadrmas DJ. Rapid dual-tracer PTSM+ATSM PET imaging of tumour blood flow and hypoxia: a simulation study. Physics in medicine and biology. 2006;51:61–75. doi: 10.1088/0031-9155/51/1/005. [DOI] [PubMed] [Google Scholar]
- 18.Fakhri GE. Ready for prime time? Dual tracer PET and SPECT imaging. American journal of nuclear medicine and molecular imaging. 2012;2:415–417. [PMC free article] [PubMed] [Google Scholar]
- 19.Guo N, Lang L, Gao H, et al. Quantitative analysis and parametric imaging of 18F-labeled monomeric and dimeric RGD peptides using compartment model. Molecular imaging and biology : MIB : the official publication of the Academy of Molecular Imaging. 2012;14:743–752. doi: 10.1007/s11307-012-0541-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Guo J, Lang L, Hu S, et al. Comparison of Three Dimeric F-AlF-NOTA-RGD Tracers. Molecular imaging and biology : MIB : the official publication of the Academy of Molecular Imaging. 2013 [Google Scholar]
- 21.Lang L, Li W, Guo N, et al. Comparison study of [18F]FAl-NOTA-PRGD2, [18F]FPPRGD2, and [68Ga]Ga-NOTA-PRGD2 for PET imaging of U87MG tumors in mice. Bioconjugate chemistry. 2011;22:2415–2422. doi: 10.1021/bc200197h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Wu Z, Li ZB, Chen K, et al. microPET of tumor integrin alphavbeta3 expression using 18F-labeled PEGylated tetrameric RGD peptide (18F-FPRGD4) J Nucl Med. 2007;48:1536–1544. doi: 10.2967/jnumed.107.040816. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Laforest R, Sharp TL, Engelbach JA, et al. Measurement of input functions in rodents: challenges and solutions. Nuclear medicine and biology. 2005;32:679–685. doi: 10.1016/j.nucmedbio.2005.06.012. [DOI] [PubMed] [Google Scholar]
- 24.Vriens D, de Geus-Oei LF, Oyen WJ, Visser EP. A curve-fitting approach to estimate the arterial plasma input function for the assessment of glucose metabolic rate and response to treatment. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2009;50:1933–1939. doi: 10.2967/jnumed.109.065243. [DOI] [PubMed] [Google Scholar]
- 25.Guo H, Renaut RA, Chen K. An input function estimation method for FDG-PET human brain studies. Nuclear medicine and biology. 2007;34:483–492. doi: 10.1016/j.nucmedbio.2007.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Zheng X, Wen L, Yu SJ, Huang SC, Feng DD. A study of non-invasive Patlak quantification for whole-body dynamic FDG-PET studies of mice. Biomedical signal processing and control. 2012;7:438–446. doi: 10.1016/j.bspc.2011.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Huang SC, Carson RE, Hoffman EJ, Kuhl DE, Phelps ME. An investigation of a double-tracer technique for positron computerized tomography. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 1982;23:816–822. [PubMed] [Google Scholar]
- 28.Kadrmas DJ, Rust TC, Hoffman JM. Single-scan dual-tracer FLT+FDG PET tumor characterization. Physics in medicine and biology. 2013;58:429–449. doi: 10.1088/0031-9155/58/3/429. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Dandekar M, Tseng JR, Gambhir SS. Reproducibility of 18F-FDG microPET studies in mouse tumor xenografts. J Nucl Med. 2007;48:602–607. doi: 10.2967/jnumed.106.036608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Guo L, Fan L, Pang Z, et al. TRAIL and doxorubicin combination enhances anti-glioblastoma effect based on passive tumor targeting of liposomes. Journal of controlled release : official journal of the Controlled Release Society. 2011;154:93–102. doi: 10.1016/j.jconrel.2011.05.008. [DOI] [PubMed] [Google Scholar]
- 31.Albertsson P, Lennernas B, Norrby K. Chemotherapy and antiangiogenesis: drug-specific effects on microvessel sprouting. APMIS : acta pathologica, microbiologica, et immunologica Scandinavica. 2003;111:995–1003. doi: 10.1111/j.1600-0463.2003.apm1111102.x. [DOI] [PubMed] [Google Scholar]
- 32.Lee JH, Jang JT, Choi JS, et al. Exchange-coupled magnetic nanoparticles for efficient heat induction. Nature nanotechnology. 2011;6:418–422. doi: 10.1038/nnano.2011.95. [DOI] [PubMed] [Google Scholar]
- 33.Kumi Kawano YH, Iwakura Hiroshi, Akamizu Takashi, Maitani Yoshie. Combination therapy with gefitinib and doxorubicin inhibits tumor growth in transgenic mice with adrenal neuroblastoma. Cancer Medicine. 2013;2:286–295. doi: 10.1002/cam4.76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Innis RB, Cunningham VJ, Delforge J, et al. Consensus nomenclature for in vivo imaging of reversibly binding radioligands. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 2007;27:1533–1539. doi: 10.1038/sj.jcbfm.9600493. [DOI] [PubMed] [Google Scholar]
- 35.Eberl S, Anayat AR, Fulton RR, Hooper PK, Fulham MJ. Evaluation of two population-based input functions for quantitative neurological FDG PET studies. European journal of nuclear medicine. 1997;24:299–304. doi: 10.1007/BF01728767. [DOI] [PubMed] [Google Scholar]
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