- Original research
- Open Access
Biodistribution and radiodosimetry of a novel myocardial perfusion tracer 123I-CMICE-013 in healthy rats
© Duan et al.; licensee Springer. 2014
Received: 26 December 2013
Accepted: 25 February 2014
Published: 13 March 2014
123I-CMICE-013 is a novel radiotracer previously reported to have promising characteristics for single-photon emission computed tomography (SPECT) myocardial perfusion imaging. We evaluated the biokinetics and radiodosimetry of this rotenone-like 123I-labeled tracer in a microSPECT imaging-based study.
37 to 111 MBq of 123I-CMICE-013 was synthesized and administered intravenously to 14 healthy rats. Images were acquired with a microSPECT/CT camera at various time intervals and reconstructed to allow activity quantification in the tissues of interest. Radiation dosage resulted from the injection of 123I-CMICE-013 was estimated base on the biodistribution data. Tissue uptake values from image analysis were verified by gamma-counting dissected organs ex vivo.
The heart/stomach and heart/intestine uptake ratios peaked shortly after the injection of 123I-CMICE-013, meanwhile the heart/liver ratio reached 2 as early as at 23 min post-injection. Little activity was observed in the lung and overnight clearance was significant in most of the measured tissues. The radiation dosimetry analysis based on the time-activity curves provided an estimate of the effective human dose of 6.99E-03 mSv/MBq using ICRP 60 and 7.15E-03 mSv/MBq using ICRP 103, which is comparable to the popular myocardium perfusion imaging (MPI) agents such as 99mTc-tetrofosmin and 99mTc-sestamibi, as well as other 123I-based radiotracers.
123I-CMICE-013 demonstrated desirable characteristics in its biokinetic and radiodosimetric profiles, supporting its potential application as a novel myocardial perfusion imaging agent.
The assessment of myocardial perfusion is an important component of the evaluation of patients with coronary artery disease (CAD). Compared to other non-invasive imaging modalities such as positron emission tomography, and cardiac magnetic resonance imaging, single-photon emission computed tomography (SPECT) remains the most commonly used modality for myocardial perfusion imaging (MPI) due to its cost effectiveness, wide availability of SPECT cameras and its well validated methodology.
MPI using 201Tl or 99mTc-based agents (e.g. 99mTc-sestamibi and 99mTc-tetrofosmin) has been the dominant SPECT diagnostic method for identifying and characterizing CAD. However, the relatively low first-pass myocardial extraction of these 99mTc tracers at high flow rates limits the contrast obtained between normal and abnormal tissues [1, 2]. And their proximal gastrointestinal activity uptake can sometimes create unwanted scattering to the myocardium [1–4]. Usually considered as an alternative, 201Tl also has quite a few undesirable characteristics: the low energy of the primary emission peak at 80 keV results in increased attenuation of the signal , the long physical half-life of 73 h limits the injected dose and leads to both noisier images and a high radiation exposure (2.2E-01 mSv/MBq according to ICRP 80 ), and its continuous redistribution requires acquisition immediately following injection for accurate stress images [1, 2].
Our group previously reported the radiolabeling and purification of an iodinated rotenone molecule 123I-CMICE-013, a radioiodinated derivative of rotenone . This new radiotracer is a potential alternative to the conventionally used MPI tracers such as 201Tl, 99mTc-sestamibi or 99mTc-tetrofosmin. Preliminary experiments in healthy rats have demonstrated the clear visualization of the myocardium and limited background activity using microSPECT/CT imaging. Imaging with 123I-CMICE-013 of chronic occlusion and ischemia/reperfusion rat models demonstrated excellent images of myocardial defects, which correlated well with ex vivo staining with triphenyltetrazolium chloride (TTC) .
In the current study, we acquired microSPECT/CT images at various time points to better understand the in vivo kinetic profile of 123I-CMICE-013 in healthy rats and quantified the activity in various organs. Time-activity curves were constructed to evaluate the uptake of tracers in the myocardium and other organs. We compared the data from imaging-based analysis to those acquired through tissue dissection and gamma counter measurement, and verified the accuracy of the image-based quantification approach. Radiation dosimetry is an important metric for evaluating the safety of a novel radioactive imaging agent. The internal radiation exposure of 123I-CMICE-013 was assessed using the resident activities data from the imaging biodistribution.
Analytical grade chemicals and solvents were used in this study without further purification. Rotenone was purchased from Sigma Aldrich (St. Louis, MO, USA). Iodine-123 isotope was provided by Nordion Inc (Ottawa, ON, Canada). A preparative high-performance liquid chromatography (HPLC) system was assembled using Dionex GP50 gradient pump (Sunnyvale, CA, USA), Waters Fraction Collector III (Milford, MA, USA), and Rheodyne 7725i six-port sample injection valve. Analytical HPLC was performed on a Waters system (Milford, MA, USA) with a 1525 Pump, 2998 Photodiode Array Detector, and 717+ Autosampler. A PerkinElmer 150TR Flow Scintillation Analyzer (Waltham, MA, USA) was connected to the analytical HPLC system and utilized as a radio-signal detecting module. A Capintec CRC-25R Dose calibrator (Ramsey, NJ, USA) was used to measure the radioactivity of 123I-CMICE-013 injections.
Radiosynthesis of 123I-CMICE-013
The radiosynthesis of 123I-CMICE-013 follows the method described in our previous publication . Briefly, 463 MBq (12.5 mCi) of Iodine-123 (in the form of Na123I in 0.1 M NaOH) was added into a 1.5-mL microtest tube. Then, 170 μL of rotenone (2.5 mg/mL, dissolved in trifluoroacetic acid) and 30 μL iodogen (0.75 mg/mL, dissolved in trifluoroacetic acid) were added sequentially, with the resulted molar ratio of rotenone versus iodogen at 21:1. The reaction was carried out at 60°C with mixing at 600 rpm for 45 min. After brief cooling, reaction mixture was injected into the preparative HPLC system consisting of Luna C18 (2) reversed phase column (Phenomenex, Torrance, CA, USA). Mobile phase ethanol/water (50%/50%, v/v) was pumped into the system at the flow rate of 0.7 mL/min and fraction collecting (0.7 mL/fraction) began right after the injection. The identity/radiochemical purity (RCP) of the collected product was first examined on analytical HPLC and then underwent re-formulation. The final product of 123I-CMICE-013 was re-constituted in a 5% EtOH (v/v) 10 mM NaOAc at pH 6.5. The radiochemical purity of the final product was ≥95%, pH was between 3 and 7, and the alcohol percentage was between 3% and 7%.
123I-CMICE-013 microSPECT/CT imaging
All animal experiments were conducted in compliance with the guidelines of the Canadian Council on Animal Care (CCAC) and with approval from the Animal Care Committee (ACC) at the University of Ottawa. For the study, a total of 14 Sprague–Dawley rats (Charles River Laboratories, Wilmington, MA, USA) weighing 251 ± 16 g were divided into two groups. Animals in group A (n = 6) were repeatedly scanned for 15-min acquisitions at 20-min intervals from immediately to 2 h after injection of 123I-CMICE-013. Rats in group B (n = 8) were first injected with the tracer, then allowed to recover from anesthesia before returning to regular housing, and imaged using two 1-h acquisitions at 24 h post-injection. The amount of injected tracer activity was between 37 and 111 MBq (1 to 3 mCi). All rats were sedated under light anesthesia with 1% to 2% isoflurane delivered through a nose cone during tracer injection as well as imaging.
A NanoSPECT/CT scanner (Bioscan, Washington, DC, USA) was used in the study. The scanner has 4 NaI detectors, each with a 9 × 2.5-mm-diameter multi-pinhole collimator. During imaging, the rats were placed in the supine position and their temperature maintained throughout the imaging session with a Minerva heated scanner bed (Bioscan, Washington, DC, USA). Projection data were acquired with a spiral scan covering the full body of the rat. A single 10-min whole-body CT scan was acquired prior to the SPECT acquisition for localization of tracer uptake. A calibrated source of 123I was placed within the SPECT field of view in order to facilitate image quantification. The animals' respiration and heart rate were monitored during the scanning process with a Model 1025 T Small Animal Monitoring System (BioScan, Washington DC, USA).
Images were reconstructed using HiSPECT software provided by the camera manufacturer (BioScan, Washington, DC, USA). The reconstruction algorithm was ordered subset expectation maximization (OSEM) using a progressively small number of subsets: eight iterations of six subsets (8 × 6), followed by 8 × 4 and 8 × 1. The reconstructed voxel size was 0.6 × 0.6 × 0.6 mm. The reconstruction included collimator modeling but no correction for attenuation or scatter. Images were post-reconstruction filtered using a 3D Gaussian filter with a full width at half maximum of 0.63 mm. Images acquired at 3, 23, 43, 62, 82, and 102 min and 24 h after the radiotracer injection were analyzed with MATLAB (MathWorks, Boston, MA, USA). For each rat, the set of acquired images were summed together. Manual volumes of interest (VOI) were drawn around all areas of focal uptake in the summed image. The VOI was restricted to the region above soft-tissue background and applied separately to the images from each time point. The total counts in each VOI at each time point were decay-corrected and recorded. A VOI was designated around the 123I calibration source and the average decay-corrected counts in the source were used to convert the measured counts to activity. The activity in each VOI was associated with organs with the assistance of the CT scan. The percentage injected dose per organ (%ID/organ) at a certain time point were calculated by dividing the activity at the VOI region by the injection dose value as measured on the dose calibrator.
Following image acquisition, animals were euthanized: group A at 2 h and group B at 24 h after tracer injection. Their heart, liver, kidney, muscle, femur, spleen, blood, brain, intestine, lung, stomach, urine/bladder, ovaries/testes, and thyroid were extracted, weighed, and analyzed for total gamma counts using a PerkinElmer Wizard3 2480 Automatic Gamma Counter (Waltham, MA, USA). The tissue uptake is represented as the %ID/organ.
Organ masses of both rat and human used in the radiodosimetry analysis
Organ masses (g)
Tissue weighting factors in ICRP 103
Breast, colon, lungs, red marrow, remainder, stomach
Bladder, liver, esophagus, thyroid
Bone surfaces, brain, salivary glands, skin
Data analysis and statistics
Average values (mean) and corresponding standard deviation (SD) were calculated with Microsoft Excel (Redmond, WA, USA) and expressed as mean ± SD, and number of measurements is expressed as n. The rest of the analysis was performed options using Prism 5 (GraphPad, La Jolla, CA, USA) software. In order to determine the difference among various groups of data, we applied Kruskal-Wallis non-parametric one-way analysis of variance with matched measurement, followed by Dunnett's post-hoc test. When comparing data from this study and literature, a simple one-way analysis of variance was applied, followed by Dunnett's post-hoc test. For comparing imaging and tissue biodistribution measurements, a two-tailed paired Student's t test was used. A correlation analysis was also performed on data acquired through the two methods and a Pearson correlation coefficient (r) was calculated. A P value of <0.05 was considered to be statistically significant.
123I-CMICE-013 imaging biodistribution
Biodistribution of 123 I-CMICE-013 in healthy Sprague–Dawley rats
%ID/organ (mean ± SD)
0.47 ± 0.20
0.48 ± 0.19
0.48 ± 0.17
0.48 ± 0.17
0.49 ± 0.15
0.49 ± 0.14
0.69 ± 0.23
6.70 ± 2.25
7.84 ± 1.68
8.71 ± 1.24
10.10 ± 0.98
11.60 ± 1.10
13.09 ± 1.58
1.30 ± 0.34
17.96 ± 4.46
13.84 ± 4.63
11.39 ± 4.21
9.61 ± 3.59
8.30 ± 3.19
7.39 ± 2.95
4.18 ± 0.99
3.69 ± 0.77
3.24 ± 0.70
2.81 ± 0.62
2.43 ± 0.56
2.16 ± 0.48
0.15 ± 0.19
0.42 ± 0.40
0.52 ± 0.49
0.56 ± 0.52
0.61 ± 0.56
0.64 ± 0.57
0.16 ± 0.07
4.69 ± 2.78
5.81 ± 2.91
7.63 ± 3.24
8.28 ± 3.18
8.06 ± 3.07
7.91 ± 3.02
0.58 ± 0.33
2.97 ± 1.12
3.04 ± 1.16
3.06 ± 1.16
3.05 ± 1.16
3.00 ± 1.13
2.95 ± 1.11
Imaging biodistribution versus tissue biodistribution
Vital sign monitoring
No significant change in respiratory rate or heart rate was observed over the time from 0 to 2 h during the scan. The mean values were 55 ± 13 and 373 ± 34 for the respiratory rate and heart rate, respectively.
Rat and human residence times
Residence times (kBq-h/kBq)
Rat residence times were converted to human residence times and OLINDA/EXM was used to calculate the dose to target organs. The value of intestine was split up among the upper large intestine (ULI), lower large intestine (LLI), and the small intestine (SI), by proportion to the mass of these three organs. The salivary glands were added to the remainder in this analysis.
Estimated effective doses of 123 I-CMICE-013 for male and female humans
Equivalent dose to target organ (mSv/MBq)
Weighted equivalent dose (mSv/MBq)
Equivalent dose to target organ (mSv/MBq)
Weighted equivalent dose (mSv/MBq)
Testes (m)/Ovary (f)
ED ICRP 60
ED ICRP 103
Effective doses of 123 I-based tracers listed in ICRP 80
Iodide (thyroid blocked, uptake 0%)
Iodide (thyroid uptake 35%)
Iodine-labeled albumin (HSA)
Iodine-labeled microaggregated albumin (MIAA)
Hippuran, bladder emptied 1 h after administration
Hippuran, bladder emptied 0.5 h after administration
Sodium rose bengal
It should be noted that our assessment of human equivalent effective dose is based on the converted residence times from rat data, which assumes that the tracer biokinetics will be similar between small rodents and humans. Although this approach can be utilized to evaluate the dosimetry of novel radiotracers in preclinical studies [14, 15], the biokinetics of tracers are often different between rodents and humans. Thus, the dosimetry derived from rat studies is, at best, a rough estimate. Future dosimetry investigations in other species including humans are required to confirm the safety of 123I-CMICE-013.
123I-CMICE-013 represents a novel radioiodine-labeled rotenone-derived MPI agent and is currently under the investigation in our laboratory. In this study, by performing quantitative microSPECT image analysis, we showed high heart uptake of 123I-CMICE-013 and a favorable biodistribution profile. Images showed a rapid myocardial uptake soon after administration, with little or no interference from surrounding tissues such as the liver and lung. The heart/liver uptake ratio was similar to other rotenone-based MPI tracers 7′(Z)-125I-iodorotenol and 7′(Z)-125I-iodorotenone , as well as the benchmark agent 99mTc-sestamibi . Heart/stomach and heart/intestine ratios remained moderate within the first 1 h post-injection of the tracer, which allow for a good imaging window. At 24 h post-injection, a good clearance of tracer on the whole-body scale was also observed.
We also compared the radiation dosimetry of 123I-CMICE-013 to 7′(Z)-123I-iodorotenone, an 123I-labeled rotenone derivative. Broaisat et al. performed a preliminary radiation dose estimate on dogs injected with 7′(Z)-123I-iodorotenone using MIRDOSE 3.1 . Selected organs were evaluated, including the gallbladder wall (3.08E-01 mSv/MBq), stomach (1.24E-01 mSv/MBq), heart wall (8.11E-03 mSv/MBq), kidneys (1.08E-02 mSv/MBq), liver (1.08E-02 mSv/MBq), and salivary gland (1.78E-01 mSv/MBq). Compared to the matched organs in our study, the dose values of 123I-CMICE-013 injection were overall lower: stomach 1.36E-02 mSv/MBq for male; 1.64E-02 mSv/MBq for female, kidneys 4.87E-03 mSv/MBq for male and 6.08E-03 mSv/MBq for female, and liver 5.76E-03 mSv/MBq for male and 7.48E-03 mSv/MBq for female. As for all radioiodine-based tracers, the radiation dosimetry in the thyroid always attracts attention due to the potential for tracer de-iodination and subsequent uptake in the thyroid. Our estimate suggested that 123I-CMICE-013 created a mild dose to thyroid (1.24E-02 mSv/MBq for male; 1.44E-02 mSv/MBq for female), only about one-fifth of that of 7′(Z)-123I-iodorotenone (7.03E-02 mSv/MBq). Nevertheless, as is frequently done with 123I-compound in current clinical use, a thyroid-blocking agent could be administered to further reduce thyroid exposure.
Our radiodosimetry analysis also indicated that 123I-CMICE-013 created a moderate whole-body effective dose that is lower than both benchmark MPI tracers 99mTc-sestamibi (9.0E-03 mSv/MBq at rest) and 99mTc-tetrofosmin (7.6E-03 mSv/MBq at rest) . It is also well within the range of ICRP 80 listed 123I-based tracers  and highly competitive among other novel tracers that are currently under investigation. 123I-MNI-420, a SPECT tracer for imaging A2A receptor in brain, had an effective dose of 3.60E-02 mSv/MBq . The effective dose of 123I-βCIT (dopamine transporter imaging agent) and 123I-ADAM (serotonin transporter imaging agent) were estimated to be 3.10E-02 mSv/MBq  and 3.37E-02 mSv/MBq . A dosimetry analysis based on a canine model injected with 7′(Z)-123I-iodorotenone revealed that the tracer gave an effective dose of 2.97E-03 mSv/MBq . Given that the current estimate for123I-CMICE-013 was based on a limited number of healthy rats, data should be interpreted as preliminary and future studies in large animals, and eventually, human subjects are critical for a more precise and accurate measure of radiodosimetry.
This study describes the characterization of the biodistribution profile of 123I-CMICE-013 using microSPECT image-based quantification. For studying radiotracer uptake in small animal models, the quantitative SPECT imaging has several advantages over purely tissue-sampling-based methods. As a non-invasive method, it allows repeat three-dimensional imaging of the same animal over multiple time points [20, 21]. We acquired six time points after a single injection of tracer for each animal. This reduces the amount of tracer product that needs to be formulated for evaluation, decreases the number of animals needed to obtain the data points, and improves the consistency in the time-activity curves by removing any subject-to-subject variability. The images provide a full in vivo picture of the entire animal at each time point, which removes any distortion of distribution or losses of tracer that may be caused by sacrificing the animal and tissue sectioning. Finally the image ensures that samples can be taken from all relevant sites of focal uptake, reducing the possibility of not acquiring samples from sites of unexpected tracer accumulation. For instance, the salivary glands were not collected during tissue extraction in this study because it was not realized a priori that 123I-CMICE-013 would accumulate in these tissues.
The data from image analysis is largely consistent with those from tissue sampling. For most organs, the %ID/organ values showed no significant difference between the data from two methods. The correlation analysis also showed an excellent correlation (r = 0.882) overall. The one exception was the uptake in the intestine. A limitation of the quantitative SPECT imaging approach is a reduced sensitivity . As the organs are evaluated in situ, the presence of uptake in surrounding or nearby tissues generates a background that reduces sensitivity compared to that obtained when the tissue is removed from the subject. We suspect that the differences seen in the intestine were due to diffuse uptake in the intestinal walls that was not resolved over background in the images and thus not included in the organ activity estimate. An additional contributing factor could be the limited resolution of the camera . Partial volume effects will dilute the apparent uptake in small structures and could make small organs with low levels of uptake difficult to distinguish from background . A final limitation is the difficulty of identifying anatomical structures and boundaries of structures from the tracer distribution image. We mitigated this using a co-registered CT scan for anatomical localization, which has been proven to greatly improve the ease of identification of anatomical regions [24–26]. Due to the fact that CT still suffers from poor soft-tissue contrast, ultimately the use of a co-registered MRI might prove more beneficial. Without a definite measure of tissue boundaries, estimates of organ mass are also reduced in accuracy and this increases the uncertainty of converting data into measures of %ID/g of tissue. Thus, in lieu of a purely image-based or tissue sample-based approach, a hybrid method such as that used in this study may provide the advantages of both. Using multiple image points and tissue sampling coincident with the final time provides the opportunity to specifically target sampling of small organs and also provides accurate measures of organ volumes and weights. The good consistency and correlation between the data from the two methods suggested that our hybrid imaging-based quantification technique is a powerful tool to monitor the kinetics distribution of SPECT radiotracers.
This study represents an exploratory investigation of the 123I-CMICE-013 biodistribution profile using in vivo whole-body imaging and validation with tissue analysis. Our tracer under development demonstrated biodistribution features of a desirable myocardial perfusion imaging agent, such as the high myocardium uptake, rapid liver clearance, and lack of lung activity. Furthermore, results from radiodosimetric analysis suggest low organ doses and a modest whole-body dose, which provides a favorable justification for prospective dosimetry studies in larger animals and humans.
The authors would like acknowledge the following funding support: grant no. RMIPJ 389641–09 from Canadian Institute of Health Research (CIHR) and Natural Sciences and Engineering Research Council of Canada (NSERC), Research Excellence grant no. RE-03-051 from the Ontario Research Fund, and grant no. 261765–2011 from NSERC. The authors are also grateful for the technical support from the animal care technicians of University of Ottawa Heart Institute.
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