Original Research

Exp. Biol. Med., 19 June 2025

Sec. Bioimaging

Volume 250 - 2025 | https://doi.org/10.3389/ebm.2025.10560

In-ovo imaging using ostrich eggs: biodistribution of F-18-FDG in ostrich embryos

Thomas Winkens,Thomas Winkens1,2Pauline SchweitzerPauline Schweitzer1Olga PerkasOlga Perkas1Christian KühnelChristian Kühnel1Ferdinand NdumFerdinand Ndum1Marta Pomraenke,Marta Pomraenke1,2Julia Greiser,Julia Greiser1,2Martin Freesmeyer,
Martin Freesmeyer1,2*
  • 1Clinic of Nuclear Medicine, Jena University Hospital, Jena, Germany
  • 2Working Group for Translational Nuclear Medicine and Radiopharmacy, Clinic of Nuclear Medicine, Jena University Hospital, Jena, Germany

Abstract
In-ovo imaging using ostrich eggs has been described as an alternative to animal testing using rodents. This approach is not considered an animal experiment and it does not require small-animal imaging devices as ostrich eggs provide good image quality on regular CT, MRI or PET used in humans. The aims of this study were 1) to describe methods of radiopharmaceutical injection, 2) to explore normal biodistribution of F-18-FDG during a 60-min list-mode-PET/CT examination and 3) to compare biodistribution in-ovo to existing literature considering chicken and rodents. Vessel access was successful in 54/78 ostrich eggs. Highest FDG-uptake was observed in epiphyseal plates (0.36 ± 0.06 IA%/g; range 0.29–0.48 IA%/g) and brain (0.25 ± 0.05 IA%/g; range 0.21–0.36 IA%/g). In-vivo activity distribution on PET and ex-vivo activity distribution (well counter) showed comparable results (Spearman’s Rho range 0.795–0.882). No significant differences were observed regarding previous isoflurane exposure. Normal biodistribution of F-18-FDG in ostrich embryos using a standard PET/CT system for humans was mainly found as expected with highest uptake in epiphyseal plates and brain which is comparable to results on rodents and chicken embryos. Isoflurane anesthesia did not reveal significant differences regarding organ uptake. The results of this normal distribution study allow for interpretation of future disease models (inflammation, tumor) in ostrich embryos using F-18-FDG as radiopharmaceutical.

Impact statement

This work shows that normal biodistribution of F-18-FDG in ostrich embryos is comparable to chicken embryos, rodents and humans. Thus, in-ovo-imaging using ostrich embryos represents a promising alternative to reduce animal research using rodents.

Introduction

Recently, preclinical imaging using ostrich eggs has been described as a potential alternative concept to common animal testing using rats or mice [14]. This approach bears the advantage that, according to national and international legislation, research using eggs does not qualify as animal testing as long as all experiments are carried out before hatching [58]. Thus, elaborate application for permission to conduct an animal experiment as well as adequate animal housing, trained personnel and specific equipment is – at least in part – expendable.

Usually, chicken embryos are used for in-ovo imaging; however, this requires dedicated small animal imaging devices which represents a disadvantage regarding limited access [1, 2, 4]. A concept using substantially larger ostrich eggs and imaging devices commonly used in routine clinical examinations in humans has been published before [1, 2, 4]. Important questions have been answered regarding implementation in a nuclear medicine research facility, physiological embryo development on serial CT-scans and immobilization using narcotic gases in order to minimize embryo movement during scans, e.g., list-mode PET/CT [1, 2, 4, 9, 10]. Given these preliminary studies regarding ostrich-based imaging, the next step requires systematic description of well-known radiopharmaceuticals in this novel preclinical imaging model which exceeds the information known from previous studies [4].

Thus, this study aims at describing methods of intravenous injection in ostrich embryos and investigating normal biodistribution of F-18-FDG in ostrich embryos using a standard PET/CT system on development day (DD) 37. Data obtained from dynamic list-mode examinations over 60 min are quantified and interpreted regarding image quality and compared to data obtained from studies investigating rodents and chicken eggs. Additionally, effect of isoflurane narcotic gas on F-18-FDG distribution is assessed. The understanding of normal biodistribution of F-18-FDG is necessary in order to develop disease models (e.g., inflammation or tumor models).

Materials and methods

Ostrich eggs

Ostrich eggs were obtained from a local ostrich farm 15 km from the research facility between April and September. Artificial incubation was carried out using a multistage egg incubator (Sofie 3, Hemel, Verl, Germany) with constant incubation properties at 36.5°C and 25% air humidity as described elsewhere [2, 4]. If artificially incubated, ostrich eggs usually hatch after 42 days [11]. As it was a requirement to end all experiments before hatching, studies were performed on DD 37. This embryo study did not qualify as an animal research study according to the Federal German Animal Protection Act. Registration took place with the Office for Consumer Protection of the Thuringia State, registration number 22-2684-04-02-114/16. All experiments were carried out in compliance with German and international animal welfare legislation.

Immobilization

In order to prevent motion artifacts during 60-min list mode dynamic PET/CT scan, a part of the ostrich embryos were exposed to narcotic gas isoflurane (Piramal Healthcare, Mumbai, India) using a standard vaporizer (Vapor 2000 Isofluran, Draeger, Luebeck, Germany) and a fix concentration of 6% which has been described effective for immobilizing ostrich embryos [1, 9]. For 60 min, isoflurane exposure was performed in a gas-tight container prior to PET/CT scan. Ostrich eggs were subsequently transferred to a working bench, preparing for vessel access.

Vessel access

Intravenous application of radiopharmaceuticals requires establishing a vessel access. Candling (diaphanoscopy-like illumination) of ostrich eggs was performed on DD 25 and DD 28, identifying faintly visible vessels of chorioallantois-membrane (CAM) located beneath the eggshell. Subsequently, the vessels’ location and course is marked on the eggshell using a pen. During later development stages, identification of CAM vessels is obscured by extended shadowing of the large ostrich embryo. On DD 37, part of the eggshell was removed using a rotating cutter (Dremel, Bosch Powertools B.V., Breda, Niederlande), either by windowing (removing a rectangular part of the eggshell; Figures 1A–C) or by decapitation (removing the whole eggshell at the end of the egg containing the air cell; Figures 1D,E). Subsequently, CAM vessel was punctured using a 30 gauge cannula (Sterican, B. Braun, Melsungen, Germany) (Figures 1D,E), connected to a polyethylene tube with an inner diameter of 0.28 mm (BD Intramedic, Fisher Scientific GmbH, Schwerte, Germany), and flushed with saline.

Figure 1
www.frontiersin.org

Figure 1. Procedure of vessel access on DD 37. (A–C): Lateral access. (A): Lateral view with vessels (orange arrow, dotted lines) which were identified on DD 25 by candling and marked with a pencil. The solid line (black arrow) represents a rectangular area of the eggshell to be removed. (B): Cutting of the eggshell using a rotating cutter along the solid line. (C): The rectangular area of the eggshell has been removed and cannulation of a small vessel is performed. (D,E): Top access/Decapitation. (D): After the whole eggshell at top of the egg (containing the air cell) has been removed, a candling light (white arrow) is placed laterally, illuminating the CAM-vessels (orange arrow) beneath the white egg shell membrane. Cannulation is performed using a 30 gauge cannula (blue arrow). (E): Successful vessel access indicated by blood backflow into the catheter (red arrow).

Radiopharmaceutical

F-18-fluorodeoxyglucose (FDG) was obtained from Life Radiopharma f-con GmbH (Holzhausen an der Haide, Germany). 1-mL syringes were filled with approx. 2–10 MBq F-18-FDG and total volume of <0.5 mL. Pre-injection and post-injection syringe activity was measured using a standard dose calibrator (Isomed 2010, Nuvia Instruments GmbH, Dresden, Germany).

PET/CT data acquisition and reconstruction; image analysis

After establishing a vessel access, PET/CT examination started using a standard scanner for clinical routine examinations in human patients (Biograph mCT 40, Siemens Healthineers, Erlangen, Germany). First, full-dose CT-scan (120 kV, 200 mAs, increment 0.3 mm, slice thickness 0.6 mm, filtered back projection) was acquired for attenuation correction purposes and anatomic co-registration. List-mode dynamic PET was started immediately after injection of F-18-FDG and data were acquired for 60 min. PET data reconstruction was performed using iterative technique (4 iterations, 12 subsets, matrix 400, Gaussian filter, zoom factor 2 and optimized proprietary reconstruction mode True X (Siemens Healthineers) comprising point spread function and ordered subset expectation maximization (OSEM) algorithms. List-mode data were reconstructed in 120 30-s-timeframes as well as additional 10-s frames during the first 2 minutes. Image analysis and quantification was performed using proprietary software (syngo.via, version VB50BHF02, Siemens Healthineers). In order to quantify activity distribution, spherical volume-of-interests (VOIs) were drawn and activity was expressed as standardized uptake value (SUV), kBq/mL as well as relative injected activity per mass (IA%/g). For each organ/compartment, two VOIs were drawn and the mean value of both measurements was used for further analysis. IA%/g was chosen for comparison of PET and ex-vivo biodistribution data because well counter measurements cannot be expressed as SUV. Regarding dynamic activity distribution correct VOI position was manually verified in each timeframe. Patlak plots were derived from dynamic PET data using a blood-derived input function.

Ex-vivo biodistribution

Quantification of activity distribution of different ostrich organs was verified by ex-vivo measurements. After PET/CT examination, ostrich embryos were sacrificed by i.v. injection of 500 mg sodium pentobarbital. Organs (i.e., brain, heart, liver, ventriculus, intestine, kidneys) and fluids (i.e., yolk, blood) were collected and specific activity was measured using a standard well counter (Isomed 2100, Nuvia Instruments).

Statistics

Data analysis and descriptive statistics were performed using Excel (Microsoft Excel 2016, Microsoft Corporation, Redmont, WA, United States). Values were expressed as mean and standard deviation was given, if applicable. Correlation was calculated using Spearman’s Rho Correlation Test and p-values < 0.05 were considered significant. Bland-Altmann-plots were analyzed in order to exclude bias.

Results

A total of 339 ostrich eggs were obtained from a local ostrich farm. 78/339 (23.0%) showed fully developed ostrich embryos on DD 37 and were prepared for PET/CT imaging. Success of vessel access and reasons for partial or complete failure are shown in Figure 2. In total, 54/339 ostrich embryos were available for dynamic PET/CT imaging (60-min list mode) with different radiopharmaceuticals. Regarding normal distribution of F-18-FDG, twelve ostrich embryos were investigated after exposure to isoflurane. Four different ostrich embryos served as control group and were not exposed to isoflurane before PET/CT examination.

Figure 2
www.frontiersin.org

Figure 2. Success of vessel access and reasons for partial or complete failure.

Visual image analysis

Five different time points of dynamic list mode PET/CT are shown in Figure 3, representing activity distribution over time. Additionally, images of different organs/structures are shown in Figure 4.

Figure 3
www.frontiersin.org

Figure 3. Dynamic PET/CT scan of an ostrich egg on DD 37. Fusion imaging of maximum intensity projection (MIP, PET) and virtual rendering technique (VRT, CT) was chosen for three-dimensional visualization. Timeframes in the upper left corner of each image represents the time after injection (p.i.) of 10 MBq F-18-FDG. In the first timeframe (1–10 s p.i.) the activity in the plastic tube is visible (orange arrow), caused by the injection. Additionally, the vitelline vein is depicted (yellow arrow) in which the blood flows from the CAM to the embryo. Due to high specific activity within a small volume, the embryo’s vessels show an intense signal. Considering later time points, it is possible to identify an area of high uptake in the embryo’s thorax during the first timeframe which decreases over time and represents the heart/blood activity (red arrow). The second image (21 – 30 s p.i.) shows accumulation of activity within the whole embryo, mainly in the vessels and starting in soft tissue. Activity in the vitelline vein (yellow arrow) is decreasing and the liver (green arrow) represents the organ with highest activity accumulation. The following two images (61 – 90 s p.i. and 241–270 s p.i.) are characterized by steady decrease of blood and liver activity, and increasing accumulation in soft tissue instead. In general, a more homogeneous activity distribution is observed compared to the early timeframes. The blue arrow marks activity which is located outside of the egg, caused by residual syringe activity placed next to the egg after application of F-18-FDG. The last image gives an overview of the activity distribution 55 – 60 min p.i. using the same thresholds for MIP-imaging. FDG-uptake is visible in the brain and in epiphyseal plates (see also Figure 4). White arrows mark anatomical structures for anatomic co-registration of activity distribution.

Figure 4
www.frontiersin.org

Figure 4. Dynamic F-18-FDG PET/CT scan of the same ostrich embryo as depicted in Figure 3 but with focus on representative images of organs and structures. Embryo vessels are shown in the two images of the top row at 31 – 40 s p.i. The yellow arrow marks the long carotid arteries (upper left image) and the abdominal aorta (upper right image) inferior to the liver (green arrow). The yellow arrow with star points at the extraembryonal vitelline vein. In the upper right image, activity within the kidneys is visible (pink arrow). Brain activity is marked with a blue arrow in the lower left image (40 min p.i.). In order to depict activity distribution in the epiphyseal plates (red arrows) of the lower extremity (femur, tibiotarsus, tarsometatarsus), scaling was adjusted. White arrows mark anatomical structures for anatomic co-registration of activity distribution.

Quantification

Dynamic activity distribution over time is shown in Figures 5, 6 Organ activity assessed 55 min p.i. via F-18-FDG-PET/CT and ex-vivo activity showed comparable results (Figure 7). Analyses using Bland-Altman plots revealed all data within 1.96-times standard deviation without significant overestimation or underestimation (data not shown). Highest uptake was found in epiphyseal plates (0.36 ± 0.06 IA%/g; range 0.29–0.48 IA%/g).

Figure 5
www.frontiersin.org

Figure 5. F-18-FDG biodistribution of 12 ostrich eggs in different organs and compartments (yolk, epiphyseal plates, brain, blood, liver, muscle, kidney) over 60 min, assessed via VOI measurements on PET/CT. X-axis was adjusted for late time points (>30 min) for better visualization.Insert graph on top shows first 120 s for assessment of early distribution effects, specifically blood curve (yellow). Data are expressed as relative organ activity per injected activity (IA%/g). Whiskers represent standard deviation. For clarity purposes, time points were spread in order to allow for delineation of data point whiskers. At 60 min p.i., epiphyseal plates (purple line) and brain (blue line) show highest uptake. Yolk shows consistently low FDG uptake over time.

Figure 6
www.frontiersin.org

Figure 6. Patlak plots for six different organs (yolk, epiphyseal plates, brain, liver, muscle, kidney), derived from dynamic PET data using a blood-derived input function. The x-axis represents the normalized integral of the input function, while the y-axis displays the normalized tissue concentration. For each organ, linear regression was applied from t = 135 s onward, excluding the final time point (3600 s) to improve model robustness by reducing the influence of potential noise and late-phase redistribution.

Figure 7
www.frontiersin.org

Figure 7. Comparison of in-vivo and ex-vivo measurements. Organ activity of different compartments and organs (yolk, blood, liver, kidney, brain) of different ostrich embryos (isoflurane, n = 12), assessed via VOI measurements on PET/CT (left columns, without texture) 55 min p.i. and ex-vivo measurements (right columns, with texture). Whiskers represent standard deviation. Data are expressed as relative organ activity per injected activity (IA%/g). R-values were calculated using Spearman’s Rho and p-values are < 0.0001 for all compartments and organs. As all R-values are > 0.8, a very strong correlation is present between PET and ex-vivo measurements indicating sufficient reliability of PET quantification.

Effect of isoflurane

Figure 8 shows organ activity in ostrich embryos after exposure to isoflurane (n = 12) and without exposure to narcotic gases (n = 4). No significant differences were observed.

Figure 8
www.frontiersin.org

Figure 8. Comparison of embryos with and without isoflurane exposure. Organ activity of different compartments and organs of different ostrich embryos after exposure to isoflurane (left columns, dark-colored, n = 12) and without exposure to narcotic gases (right columns, light-colored, n = 4), assessed via VOI measurements on PET/CT 55 min p.i. Whiskers represent standard deviation. Data are expressed as relative organ activity per injected activity (IA%/g). Using Shapiro-Wilk test and Kruskal-Wallice test, no significant differences were observed.

Discussion

This study describes normal biodistribution patterns of F-18-FDG in ostrich embryos 5 days before hatching.

Strengths of in-ovo imaging using ostrich embryos

The idea to use ostrich embryos arose from two specific limitations at the research facility: First, the lack of a small-animal imaging device for biodistribution studies, and second, prolonged time until receiving permission for classic animal testing using rodents. These limitations were addressed by using ostrich embryos which are large enough to be investigated in regular imaging devices used in humans and which do not qualify as animal testing under a legal view. The use of avian eggs, specifically chicken eggs, is widely distributed; however, mostly focusing on well-vascularized CAM as a biomembrane, allowing for tumor cell growth and thus, monitoring anti-neoplastic substances. The embryo itself usually is not in the focus of CAM-experiments. This is an unrealized potential as the embryo offers interesting advantages over rodents: First, avian embryos only need warmth and oxygen for regular development. All other resources (nutrition, water) are inside the eggshell, thus, no feeding is required. Second, during the second half of breeding, all organs are fully developed and thus, the whole body may be investigated. In contrast, CAM only focuses on the properties of the implanted tumor or the CAM vessel reaction to the tumor. The limitations of using ostrich embryos are addressed below.

Artificial incubation and vessel access

Several steps are necessary in order to obtain a viable ostrich embryo on DD 37 for PET/CT imaging. First, eggs have to be fertilized which varies according to season, weather conditions and ostrich hens’ and rooster’s health [1214]. Fertilized eggs are identified as early as DD 13 by candling and are continuously stored in the incubator while unfertilized eggs are removed and discharged [12, 14]. Second, during the following development steps, death-in-shell (DIS) can occur which also reduces the number of viable ostrich embryos [13]. Third, successful vessel access is required for i.v. injection of radiopharmaceuticals. After these steps, in the current study a total of 16% of initially obtained ostrich eggs contained viable embryos available for PET/CT imaging. Success rates for artificial breeding in ostrich farms vary from 40 to 70% which is higher than in this study [12, 15, 16]. This is attributable to distinct low rate of fertilization in our research facility in 2021 as previous years revealed fertilization in 29, 38 and 62% of ostrich eggs, respectively [14]. As it is difficult to improve fertilization rates per se, effectiveness of in-ovo imaging using ostrich eggs could be increased by improving methods of artificial breeding, thus avoiding DIS, and establishing vessel access, latter bearing higher potential with increasing handling experience [17, 18]. Also, ostrich egg supply needs to be considered. For this study, the ostrich eggs were provided by one farm. A diversification of egg supply could add to improved artificial breeding success in years of low fertilization rates at one farm.

Visual image analysis

In-vivo biodistribution of F-18-FDG in ostrich embryos was found as expected. Image example of one ostrich embryo is shown in Figures 3, 4 with early tracer distribution in cardiovascular system, followed by liver accumulation and subsequent soft-tissue enhancement. At 55 min, epiphyseal plates and brain are the areas of highest tracer accumulation. Notably, soft-tissue clearance over time in ostrich embryos is less than biodistribution pattern described in rodents and humans. This is likely caused by lack of sufficient renal tracer excretion in ostrich embryos which rely on allantoic metabolite deposition instead of urinary excretion in adult animals and humans [19, 20]. Recently, comparable results have been described by Smith et al. for chicken embryos on DD 14 [18]. Earlier publications report on biodistribution of different radiopharmaceuticals, including FDG, in chicken embryos using a small-animal PET/CT system, also showing rather high soft-tissue accumulation of FDG [21]. Missing renal excretion of radiopharmaceuticals is known from patients with chronic kidney failure depending on dialysis. In most cases, the results of F-18-FDG-PET/CT are not significantly hampered and the clinical question is answered as accurately as in patients with normal renal function. Thus, high soft-tissue tracer accumulation is not regarded as a significant limitation of in-ovo imaging using ostrich eggs.

Wu et al. described brain FDG uptake in mice over 60 min [22]. The results obtained in the current study suggest that brain uptake in ostrich embryos is less evident than reported for humans and awake mice. This might be attributable to three main factors: First, brain function in ostrich embryos is not yet fully developed before hatching, thus low glucose metabolism can be assumed. Gradually increasing cerebral glucose metabolism has been described for developing rats during pre- and postpartal period [23] which is supported by analyses that the developing mammalian brain uses different substrates (e.g., ketones, fatty acids) and glucose, whereas the adult brain solely relies on glucose for energy supply [24]. Second, apart from cerebral base rate glucose metabolism, stimuli and sensations are low in a concealed egg shell, thus contributing to low brain activation. The brain of chicken embryos showed variable FDG-uptake in a study performed by Balaban et al. investigating different brain regions and describing active and inactive brain states [25]. Third, avian neurons have been described to consume three times less glucose than mammalian neurons; however, focusing on adult organisms and thus being comparable only with limitations to embryos development stages [26].

Out data show that glucose metabolism in the liver is lower than in brain, kidneys and epiphyseal plates. In humans, GLUT1 is the main glucose transporter in fetal liver, ensuring insulin-independent glucose uptake via placental circulation [27], suggesting high glucose uptake. After birth and following enteral feeding, GLUT1 is downregulated and GLUT2 expression gradually increases. Furthermore, gluconeogenesis and glykogenolysis mature, stabilizing blood glucose levels [27]. Metabolic analyses of post-hatch chicken show early presence of glycolysis and gluconeogenesis as well as reliance on amino acids and fatty acids which are stored in the yolk, resembling the processes that occur in mammals. After hatching, during a time period of 20 days, metabolism changes in order to effectively utilize fed nutrients () [28] and – as in mammals - GLUT2 is also expressed [29]. FDG-PET/CT show similar distribution patterns in chicken embryos compared to the presented data [21]. Regarding ostriches, little is known about the embryonic hepatic glucose metabolism but data derived from chicks and adult ostriches show comparative blood glucose levels, increasing with the individual’s age and development [30].

Tracer accumulation of FDG in epiphyseal plates is also known from examinations in children and indicates high glucose metabolism in sites of rapid bone growth with higher SUV-values for younger age groups [31, 32]. This has also been described for in-ovo imaging using chicken embryos [21, 33].

Regarding PET/CT imaging in humans, recent technological developments feature large scanners with multiple ring detectors creating a long axial field of view (e.g., uEXPLORER, United Imaging Healthcare; Biograph Vision Quadra, Siemens Healthineers). Liu et al. investigated normal biodistribution of FDG in healthy volunteers using scanners of this type [34]. One evident difference between humans and ostrich embryos is predominant tracer distribution within lung tissue during the first 5 minutes, representing physiological blood flow in pulmonary vascular system. Due to embryonic circulation bypassing pulmonary vessels, lung tissue was not identified on FDG-PET studies in ostrich embryos.

Notably, no individual showed myocardium uptake. Human myocardium is known for variable inter- and intraindividual FDG uptake, depending on the main source of energy supply at the moment of FDG administration. As both fatty acids and glucose are suitable as energy substrates for myocardium, both metabolic states can be found in patients [35]. Insulin increases cardiac FDG-uptake in mice [36] and humans [37]. Bencurova et al. reported on biodistribution of FDG in chick embryos on DD 16-18 describing little FDG uptake within the heart, however, without exactly stating whether myocardium uptake or blood-pool-activity was regarded as the source of tracer accumulation [33]. However, Souza et al. described variable cardiac FDG uptake related to myocardium in a small study investigating adult parrots, indicating variability in avian species [38]. Up to date, there are no comparable cardiac imaging studies using FDG-PET/CT in chicken or ostriches but Kutchai et al. described ex-vivo experiments assessing high glucose uptake in chick embryos during early development with decreasing uptake over time [39]. –This is supported by autoradiography experiments by Kostreva who investigated C-14-deoxyglucose chicken heart and stating high glucose dependence of embryonic myocardium of different species [40] More invasive experiments as conducted currently could contribute to the understanding of ostrich embryo myocardium uptake, i.e., co-injection of insulin or glucose.

Quantification

Visual description of FDG biodistribution is supported by quantification using VOI-measurements in PET over time (Figures 5, 6) as well as ex-vivo measurements after organ collection and activity measurement using a well-counter (Figure 7).

Tissue activity curves using the Patlak model provide an approximation for tracer kinetics of various tissues and compartments. High linearity was observed in brain and epiphyseal plates (R2 > 0.98), indicating strong irreversible tracer uptake and model conformity. The influx rate constant Ki reflects organ-specific tracer accumulation rates, with the kidney and liver showing higher Ki values, consistent with their metabolic/excretory roles. The yolk and muscle curves exhibited flatter slopes and lower R2 values, suggesting limited tracer trapping or predominantly reversible kinetics in these tissues.

Organ time activity curves in humans show comparable values to data obtained in ostrich embryos in this study [4143]. Two different ways are generally used for describing radiopharmaceutical uptake in PET studies: IA%/g and SUV. While IA%/g is independent from body weight and total volume, SUV uses body weight as a factor which allows for comparison of species with different weight. Both methods bear advantages and disadvantages that have to be considered when comparing FDG uptake within different species. In this study, IA%/g was used for data description as it is suitable for both PET and ex-vivo well counter measurements, allowing direct comparison of both. Most preclinical studies focus on IA%/g and ID%/g (relative injected dose per mass), respectively [44, 45], and use these parameters for imaging and ex-vivo well counter measurements as well. SUV is a parameter commonly used in clinical routine to assess radiopharmaceutical uptake in patients. It offers a sufficiently robust, yet straightforward and reproducible method for quantifying tracer accumulation, for example, in tumor lesions [46, 47].

Rodent and in-ovo PET-imaging have been described to show similar uptake of reference regions using PSMA-ligands [48]. In order to contextualize the FDG-uptake values derived from ostrich embryos and described in this study, Table 1 gives an overview of data published on different species and FDG normal distribution (Table 1). This data also supports visual quantification in terms of soft tissue clearance: In ostrich embryos, levels of F-18-FDG accumulation are similar for liver and muscle tissue, whereas lower glucose metabolism is described for rodent muscle tissue than for rodent liver tissue. Table 1 also indicates the need for careful interpretation of activity quantification when species are compared because both SUV and IA%/g show substantial differences (Table 1).

Table 1
www.frontiersin.org

Table 1. Overview of FDG uptake in different organs and different species.

As quantification relies on successful intravenous application of radiopharmaceuticals, special attention has to be paid to paravasation which particularly influences PET quantification in dynamic studies [17, 18, 70].

Effect of isoflurane

This study also assessed the effect of isoflurane on various organs and compartments. No significant differences were found for yolk, blood, muscle, liver, kidney, brain and epiphyseal plates. This result was unexpected as isoflurane usually reduces brain glucose metabolism and thus, FDG uptake, which has been reported for mice and other mammals [71] and is also known for PET examinations in humans after sedation [72]. Also, changes in FDG-metabolism of other organs, e.g., liver, kidneys and muscles have been reported after application of isoflurane [54].Thus, the effect of isoflurane on glucose metabolism of ostrich embryos as well as other anesthetic or muscle relaxing agents needs to be further investigated. The immobilization effect of isoflurane anesthesia on ostrich embryos was not in the scope of this study and has been described elsewhere [9, 14].

Limitations

This study has limitations that need to be considered when interpreting the results. First, the number of ostrich embryos is rather small (n = 16) and thus, quantification results are not as reliable, limiting the statistical power of this study. The confidence intervals of biodistribution data (Figures 5, 7) and comparison with a control group (Figure 8) show high variation which could be improved by including more individuals per group. Efforts have to be made in order to increase artificial breeding success by early dismissal of non-fertilized and bacterially infected eggs as well as increasing the number of eggs orderd from the farm. Second, dynamic data was evaluated only using VOI-measurement technique in PET. Invasive arterial input functions were not considered as it has not been established to draw arterial blood in-ovo. Third, regarding reliability of PET-based quantification, signal-to-noise ratio (SNR) was not quantitatively assessed. The spatial resolution of the clinical PET/CT scanner (Biograph mCT 40; FWHM 4.4 mm) used in this study is inherently limited compared to small-animal systems (e.g., Siemens Inveon PET; FWHM 1.2 mm), potentially introducing partial volume effects, especially in small embryonal structures. This may have impacted quantification accuracy in organs difficult to delineate (e.g., kidney). In order to verify correct PET quantification, VOI data were compared to ex-vivo measurements, producing concordant results (Figure 7). This leads to the conclusion that PET quantification is sufficiently correct.

Fourth, direct comparison of ostrich embryo and similar-sized established animal models using the same scanner was not performed. This setup would allow for even more detailed comparison of both imaging models. Fourth, although there are numerous ostrich farms in Germany [12], ostriches lay eggs only from April to September, which limits the availability to these seasons. This represents a disadvantage compared to chicken eggs which offer year-round access and has to be considered in experiment planning. The use of eggs of other ratites (e.g., emu, dromaius novohollandiae) might possibly overcome this availability gap as they are available from December to March [12, 58].

Future direction and outlook

Despite the aforementioned limitations of this study and the concept of in-ovo imaging using ostrich eggs, this approach has the potential to be integrated into the landscape of preclinical research, specifically imaging studies. Of course, the results presented in this article need further investigation and verification (e.g., blocking studies evaluating tracer uptake specificity, sophisticated quantification using invasive arterial input functions) as well as expanding the field of application to other tracers. In order to be used in research projects, the normal biodistribution described in this study is not sufficient; thus, the development of disease models (e.g., tumor models, inflammation models) is crucial. This allows for interventional studies, testing new radiopharmaceuticals (aimed at tumor or inflammation) or anti-tumor (anti-inflammation) treatment agents and visualizing the therapeutic effect by preclinical imaging, i.e., F-18-FDG-PET/CT. In rodents, subcutaneous injection of substances is well established and could be transferred to ostrich embryos as well. These substances comprise tumor cells (either tumor cell lines or patient-derived tumor cells or organoids), inflammation agents (Carrageen, bacteria), and more. Establishing tumor and inflammations models in ostrich embryos requires several steps: First, it is necessary to determine the best way to inject a substance (i.e., tumor cells, inflammation agents) into the embryo without harming vital structures, requiring visual guidance (either via ultrasound or CT) and identification of optimal injection site (i.e., subcutaneous, intraperitoneal, yolk sac). Second, selection of optimal parameters (concentration, incubation time) is crucial to grow tumors and induce inflammation, respectively. Third, experiments are necessary to prove adequate therapy response, e.g., the size of a tumor in response to an established chemotherapy protocol with a control group without antineoplastic treatment. Regarding inflammation, response of a local infection to an established antibiotic regimen should be part of experiment planning. Fourth, appropriate PET radiopharmaceuticals need to be selected for tumor imaging (FDG or Ga-68-FAPI (fibroblast activating protein inhibitor) targeting cancer associated fibroblasts) and inflammation imaging (FDG or Ga-68-Pentixafor targeting chemokine signals (CXCL12/CXCR4 pathway), respectively. This allows for assessing the therapeutic effect via PET imaging.

In addition to utilizing the embryo as an experimental model, CAM assays using chicken eggs is an established alternative for animal testing, growing tumors and inducing inflammation on this highly-vascularized biomembrane [1820]. Transfering this knowledge from chicken CAM to ostrich CAM has already been reported [10]. Summarizing, once disease models have been developed, preclinical imaging using ostrich embryos might represent a contribution to 3-R- principles reducing the required number of fully developed animals.

Conclusions

This study describes PET imaging using ostrich embryos, representing an alternative imaging model for preclinical imaging. Normal biodistribution of F-18-FDG in ostrich embryos using a standard PET/CT system for humans was mainly found as expected with highest uptake in brain and epiphyseal plates which is comparable to results on rodents and chicken embryos. Isoflurane anesthesia was applied to part of the individuals in order to reduce motion artifacts and revealed no significant differences regarding organ uptake. The results of this normal distribution study allow for interpretation of future disease models (e.g., inflammation, tumor) in ostrich embryos using FDG as radiopharmaceutical.

Author contributions

TW conceived of the study, wrote the manuscript and provided funding. PS and OP performed experiments and conducted data reconstruction/evaluation. CK and JG provided thorough technical support. FN and MP performed experiments. MF conceived of the study and provided funding. All authors contributed to the article and approved the submitted version.

Data availability

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and the institutional requirements. The requirement of ethical approval was waived by Office for Consumer Protection of the Thuringia State, registration number 22-2684-04-02-114/16 for the studies involving animals because this study did not qualify as animal research study. The studies were conducted in accordance with the local legislation and institutional requirements.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was funded by German Research Society (Deutsche Forschungsgemeinschaft) GZ FR 2724/2-1 and GZ WI 5346/2-1.

Acknowledgments

Anna Christl, Hanna Hermeyer, Wiebke Neuschulz, Gregor Anslinger, Michelle Wallrodt and Veronika Porwoll are acknowledged for assistance in data analysis. PD Dr. Thomas Bartels and Dr. Sabine Bischoff are acknowledged for veterinary support.

Conflict of interest

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

References

1. Freesmeyer, M, Hermeyer, H, Kuehnel, C, Perkas, O, Greiser, J, Witte, OW, et al. In-ovo imaging using ostrich eggs: biomagnetism for detection of cardiac signals and embryonal motion. Exp Biol Med (Maywood) (2022) 247:996–1004. doi:10.1177/15353702221082046

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Winkens, T, Christl, A, Kuehnel, C, Ndum, F, Seifert, P, Greiser, J, et al. In-ovo imaging using ostrich eggs-Evaluation of physiological embryonal development on computed tomography. Acta Zoologica (2021) 103:492–502. doi:10.1111/azo.12400

CrossRef Full Text | Google Scholar

3. Winkens, T, Kuehnel, C, and Freesmeyer, M. In-ovo imaging using ostrich eggs - replacement of animal studies? J Nucl Med (2020) 61:1122.

Google Scholar

4. Freesmeyer, M, Kuehnel, C, Opfermann, T, Niksch, T, Wiegand, S, Stolz, R, et al. The use of ostrich eggs for in ovo research: making preclinical imaging research affordable and available. J Nucl Med (2018) 59:1901–6. doi:10.2967/jnumed.118.210310

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Leary, S, Anthony, R, Cartner, S, Grandin, T, Greenacre, C, Gwaltney-Brant, S, et al. AVMA guidelines for the euthanasia of animals. 2020 Edition. Schaumburg, IL, USA: American Veterinary Medical Association (2020).

Google Scholar

6. Epu, R. Richtlinie 2010/63/EU zum Schutz der für wissenschaftliche Zwecke verwendeten Tiere. Brüssel. In: Europäisches Parlament und Rat (2010).

Google Scholar

7. BdJuf, V. Tierschutzgesetz. In: BJ Verbraucherschutz, editor. Bundesministerium der Justiz und für Verbraucherschutz (2016).

Google Scholar

8. Agriculture USDo. Animal welfare act and animal welfare regulations. (2013).

Google Scholar

9. Perkas, O, Schmidt, A, Kuehnel, C, Greiser, J, Hermeyer, H, Klingner, C, et al. Different narcotic gases and concentrations for immobilization of ostrich embryos for in-ovo imaging. Exp Biol Med (Maywood) (2024) 249:10037. doi:10.3389/ebm.2024.10037

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Pomraenke, M, Bolney, R, Winkens, T, Perkas, O, Pretzel, D, Theis, B, et al. A novel breast cancer xenograft model using the ostrich chorioallantoic membrane-A proof of concept. Vet Sci (2023) 10:349. doi:10.3390/vetsci10050349

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Gefen, E, and Ar, A. Morphological description of the developing ostrich embryo: a tool for embryonic age estimation. Isr J Zoolog (2001) 47:87–97. doi:10.1092/H2t8-1h2u-81h1-P5xy

CrossRef Full Text | Google Scholar

12. Nussstein, C. Untersuchung der Haltungsbedingungen von Nandus (Rhea americana), Emus (Dromaius novaehollandiae) und Straußen (Struthio camelus) in Süddeutschland. München: Ludwig-Maximilians-Universität München (2009).

Google Scholar

13. Brand, Z. Studies on embryonic development and hatchability of ostrich eggs. Matieland, South Africa: University of Stellenbosch (2012).

Google Scholar

14. Winkens, T. In-ovo Bildgebung an Straußeneiern – Evaluierung einer Alternative zum klassischen Tierversuch [Habilitation]. Jena: Friedrich-Schiller Universität (2022).

Google Scholar

15. Nahm, KH. Effects of storage length and weight loss during incubation on the hatchability of ostrich eggs (Struthio camuelus). Poult Sci (2001) 80:1667–70. doi:10.1093/ps/80.12.1667

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Deeming, DC. Factors affecting hatchability during commercial incubation of ostrich (Struthio camelus) eggs. Br Poult Sci (1995) 36:51–65. doi:10.1080/00071669508417752

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Kuntner, C, and Stout, D. Quantitative preclinical PET imaging: opportunities and challenges. Front Phys (2014) 2. doi:10.3389/fphy.2014.00012

CrossRef Full Text | Google Scholar

18. Smith, LM, Greenwood, HE, Tyrrell, WE, Edwards, RS, de Santis, V, Baark, F, et al. The chicken chorioallantoic membrane as a low-cost, high-throughput model for cancer imaging. npj Imaging (2023) 1:1. doi:10.1038/s44303-023-00001-3

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Merckx, G, Tay, H, Lo Monaco, M, van Zandvoort, M, De Spiegelaere, W, Lambrichts, I, et al. Chorioallantoic membrane assay as model for angiogenesis in tissue engineering: focus on stem cells. Tissue Eng B: Rev (2020) 26:519–39. doi:10.1089/ten.teb.2020.0048

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Chen, L, Wang, S, Feng, Y, Zhang, J, Du, Y, Zhang, J, et al. Utilisation of chick embryo chorioallantoic membrane as a model platform for imaging-navigated biomedical research. Cells (2021) 10:463. doi:10.3390/cells10020463

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Gebhardt, P, Würbach, L, Heidrich, A, Heinrich, L, Walther, M, Opfermann, T, et al. Dynamic behaviour of selected PET tracers in embryonated chicken eggs. Revista espanola de medicina Nucl e imagen Mol (2013) 32:371–7. doi:10.1016/j.remn.2013.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Wu, HM, Sui, G, Lee, CC, Prins, ML, Ladno, W, Lin, HD, et al. In vivo quantitation of glucose metabolism in mice using small-animal PET and a microfluidic device. J Nucl Med (2007) 48:837–45. doi:10.2967/jnumed.106.038182

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Lewis, D, Koba, W, Fine, E, and Amor-Coarasa, A. The anomalous metabolism of the developing brain: rat experiments. J Nucl Med (2021) 62:1626.

Google Scholar

24. McKenna, MC, Scafidi, S, and Robertson, CL. Metabolic alterations in developing brain after injury: knowns and unknowns. Neurochem Res (2015) 40:2527–43. doi:10.1007/s11064-015-1600-7

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Balaban, E, Desco, M, and Vaquero, JJ. Waking-like brain function in embryos. Curr Biol (2012) 22:852–61. doi:10.1016/j.cub.2012.03.030

PubMed Abstract | CrossRef Full Text | Google Scholar

26. von Eugen, K, Endepols, H, Drzezga, A, Neumaier, B, Güntürkün, O, Backes, H, et al. Avian neurons consume three times less glucose than mammalian neurons. Curr Biol (2022) 32:4306–13.e4. doi:10.1016/j.cub.2022.07.070

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Minamimoto, R, Abe, Y, Kamiya, S, Nakane, T, Ito, R, Kato, K, et al. Imaging insights of FDG-PET from neonates to infants. Japanese J Radiol (2025). doi:10.1007/s11604-025-01763-z

CrossRef Full Text | Google Scholar

28. Van Every, H, and Schmidt, CJ. Metabolic and morphometric analysis of allometric and total liver growth in Post-Hatch chickens. Metabolomics (2025) 21:52. doi:10.1007/s11306-025-02250-2

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Du, P, Wang, H, Shi, X, Zhang, X, Zhu, Y, Chen, W, et al. A comparative study to determine the effects of breed and feed restriction on glucose metabolism of chickens. Anim Nutr (2023) 13:261–9. doi:10.1016/j.aninu.2023.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Durgun, Z, Keskin, E, Çöl, R, and Atalay, B. Selected haematological and biochemical values in ostrich chicks and growers. Arch Geflugelkd (2005) 69:62–6. doi:10.1016/S0003-9098(25)00576-4

CrossRef Full Text | Google Scholar

31. Otani, T, Nakamoto, Y, and Ishimori, T. Physiological FDG uptake in growth plate on pediatric PET. Asia Ocean J Nucl Med Biol (2021) 9:15–20. doi:10.22038/aojnmb.2020.49638.1339

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Shammas, A, Lim, R, and Charron, M. Pediatric FDG PET/CT: physiologic uptake, normal variants, and benign conditions. Radiographics (2009) 29:1467–86. doi:10.1148/rg.295085247

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Benčurová, K, Friske, J, Anderla, M, Mayrhofer, M, Wanek, T, Nics, L, et al. CAM-xenograft model provides preclinical evidence for the applicability of [68Ga]Ga-pentixafor in CRC imaging. Cancers (2022) 14:5549. doi:10.3390/cancers14225549

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Liu, G, Xu, H, Hu, P, Tan, H, Zhang, Y, Yu, H, et al. Kinetic metrics of 18F-FDG in normal human organs identified by systematic dynamic total-body positron emission tomography. Eur J Nucl Med Mol Imaging (2021) 48:2363–72. doi:10.1007/s00259-020-05124-y

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Boellaard, R, Delgado-Bolton, R, Oyen, WJG, Giammarile, F, Tatsch, K, Eschner, W, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging (2015) 42:328–54. doi:10.1007/s00259-014-2961-x

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Zhao, J, Tan, C, Imai, R, Ukon, N, Shimoyama, S, Maejima, Y, et al. Evaluation of organ glucose metabolism by 18F-FDG accumulation with insulin loading in aged mice compared with young normal mice. Scientific Rep (2021) 11:7421. doi:10.1038/s41598-021-86825-8

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Gupta, K, Jadhav, R, Prasad, R, and Virmani, S. Cardiac uptake patterns in routine 18F-FDG PET-CT scans: a pictorial review. J Nucl Cardiol (2020) 27:1296–305. doi:10.1007/s12350-020-02049-9

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Souza, MJ, Wall, JS, Stuckey, A, and Daniel, GB. Static and dynamic 18fdg-pet in normal hispaniolan amazon parrots (Amazona ventralis). Vet Radiol & Ultrasound (2011) 52:340–4. doi:10.1111/j.1740-8261.2010.01793.x

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Kutchai, H, King, SL, Martin, M, and Daves, ED. Glucose uptake by chicken embryo hearts at various stages of development. Developmental Biol (1977) 55:92–102. doi:10.1016/0012-1606(77)90322-0

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Diamond, A. Developmental time course in human infants and infant monkeys, and the neural bases of, inhibitory control in reaching. Ann N Y Acad Sci (1990) 608:637–69. doi:10.1111/j.1749-6632.1990.tb48913.x

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Sari, H, Mingels, C, Alberts, I, Hu, J, Buesser, D, Shah, V, et al. First results on kinetic modelling and parametric imaging of dynamic 18F-FDG datasets from a long axial FOV PET scanner in oncological patients. Eur J Nucl Med Mol Imaging (2022) 49:1997–2009. doi:10.1007/s00259-021-05623-6

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Amirrashedi, M, Zaidi, H, and Ay, MR. Towards quantitative small-animal imaging on hybrid PET/CT and PET/MRI systems. Clin Translational Imaging (2020) 8:243–63. doi:10.1007/s40336-020-00376-y

CrossRef Full Text | Google Scholar

43. Prando, S, de Godoi Carneiro, C, Robilotta, CC, and Sapienza, MT. Comparison of different quantification methods for 18F-fluorodeoxyglucose-positron emission tomography studies in rat brains. Clinics (Sao Paulo) (2019) 74:e1273. doi:10.6061/clinics/2019/e1273

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Chen, F, Zhang, H, Zhan, Y, Huang, X, He, Z, Ma, D, et al. Preclinical and clinical evaluation of [64Cu]Cu-PSMA-Q PET/CT for prostate cancer detection and its comparison with [18F]FDG imaging. Scientific Rep (2025) 15:14431. doi:10.1038/s41598-025-98757-8

PubMed Abstract | CrossRef Full Text | Google Scholar

45. England, CG, Ehlerding, EB, Hernandez, R, Rekoske, BT, Graves, SA, Sun, H, et al. Preclinical pharmacokinetics and biodistribution studies of 89Zr-labeled pembrolizumab. J Nucl Med (2017) 58:162–8. doi:10.2967/jnumed.116.177857

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Huang, S-C. Anatomy of SUV. Nucl Med Biol (2000) 27:643–6. doi:10.1016/S0969-8051(00)00155-4

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Boellaard, R. Need for standardization of 18F-FDG PET/CT for treatment response assessments. J Nucl Med (2011) 52(Suppl. 2):93s–100s. doi:10.2967/jnumed.110.085662

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Löffler, J, Hamp, C, Scheidhauer, E, Di Carlo, D, Solbach, C, Abaei, A, et al. Comparison of quantification of target-specific accumulation of [18F]F-siPSMA-14 in the HET-CAM model and in mice using PET/MRI. Cancers (2021) 13:4007. doi:10.3390/cancers13164007

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Kesar, AG. Effect of prenatal chronic noise exposure on the growth and development of body and brain of chick embryo. Int J Appl Basic Med Res (2014) 4:3–6. doi:10.4103/2229-516x.125666

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Morita, VS, Boleli, IC, and Cargnelutti Filho, A. Hematological values and body, heart and liver weights of male and female broiler embryos of young and old breeder eggs. Revista Brasileira de Ciência Avícola (2009) 11:7–15. doi:10.1590/s1516-635x2009000100002

CrossRef Full Text | Google Scholar

51. Deleye, S, Waldron, A-M, Richardson, JC, Schmidt, M, Langlois, X, Stroobants, S, et al. The effects of physiological and methodological determinants on 18F-FDG mouse brain imaging exemplified in a double transgenic alzheimer model. Mol Imaging (2016) 15:1536012115624919. doi:10.1177/1536012115624919

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Baldensperger, T, Eggen, M, Kappen, J, Winterhalter, PR, Pfirrmann, T, and Glomb, MA. Comprehensive analysis of posttranslational protein modifications in aging of subcellular compartments. Scientific Rep (2020) 10:7596. doi:10.1038/s41598-020-64265-0

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Luan, Z, Saito, Y, Miyata, H, Ohama, E, Ninomiya, H, and Ohno, K. Brainstem neuropathology in a mouse model of Niemann–Pick disease type C. J Neurol Sci (2008) 268:108–16. doi:10.1016/j.jns.2007.11.018

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Fueger, BJ, Czernin, J, Hildebrandt, I, Tran, C, Halpern, BS, Stout, D, et al. Impact of animal handling on the results of 18F-FDG PET studies in mice. J Nucl Med (2006) 47:999–1006.

PubMed Abstract | Google Scholar

55. Krueger, MA, Calaminus, C, Schmitt, J, and Pichler, BJ. Circadian rhythm impacts preclinical FDG-PET quantification in the brain, but not in xenograft tumors. Scientific Rep (2020) 10:5587. doi:10.1038/s41598-020-62532-8

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Mannheim, JG, Mamach, M, Reder, S, Traxl, A, Mucha, N, Disselhorst, JA, et al. Reproducibility and comparability of preclinical PET imaging data: a multicenter small-animal PET study. J Nucl Med (2019) 60:1483–91. doi:10.2967/jnumed.118.221994

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Welniak–Kaminska, M, Fiedorowicz, M, Orzel, J, Bogorodzki, P, Modlinska, K, Stryjek, R, et al. Volumes of brain structures in captive wild-type and laboratory rats: 7T magnetic resonance in vivo automatic atlas-based study. PLOS ONE (2019) 14:e0215348. doi:10.1371/journal.pone.0215348

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Azevedo, ÍM, Macedo Filho, R, Rocha, KBF, Oliveira, CN, and Medeiros, AC. Diagnostic accuracy of 18F-FDG-PET in abdominal sepsis in rats. Acta Cir Bras (2020) 35:e202000505. doi:10.1590/s0102-865020200050000005

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Tsuji, AB, Morita, M, Li, X-K, Sogawa, C, Sudo, H, Sugyo, A, et al. 18F-FDG PET for semiquantitative evaluation of acute allograft rejection and immunosuppressive therapy efficacy in rat models of liver transplantation. J Nucl Med (2009) 50:827–30. doi:10.2967/jnumed.108.058925

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Zhang, Z, Wei, T, Hou, J, Li, G, Yu, S, and Xin, W. Tetramethylpyrazine scavenges superoxide anion and decreases nitric oxide production in human polymorphonuclear leukocytes. Life Sci (2003) 72:2465–72. doi:10.1016/s0024-3205(03)00139-5

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Skovgaard, D, Kjaer, M, El-Ali, H, and Kjaer, A. 18F-Fluorodeoxyglucose and PET/CT for noninvasive study of exercise-induced glucose uptake in rat skeletal muscle and tendon. Eur J Nucl Med Mol Imaging (2009) 36:859–68. doi:10.1007/s00259-008-1020-x

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Brown, WH, Pearce, L, and Van Allen, CM. Organ weights of normal rabbits. J Exp Med (1925) 42:69–82. doi:10.1084/jem.42.1.69

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Wang, H, Xie, X, Duan, Y, Chai, L, Li, K, Qiu, J, et al. Rabbit systemic glucose metabolism map by total-body dynamic PET/CT technology. Nucl Med Commun (2023) 44:1144–50. doi:10.1097/mnm.0000000000001767

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Fu, L, Chen, C, Tian, Y-G, Guo, K-Y, Wu, S-J, and Wang, Y-J. Diagnostic value of [ $$^{18}{\text{F}}$$ 18 F ]FDG-PET/CT in acute hepatic radiation toxicity: a Tibet minipig model. Nucl Sci Tech (2016) 27:29. doi:10.1007/s41365-016-0030-9

CrossRef Full Text | Google Scholar

65. Lee, YA, Kim, JI, Lee, JW, Cho, YJ, Lee, BH, Chung, HW, et al. Effects of various anesthetic protocols on 18F-flurodeoxyglucose uptake into the brains and hearts of normal miniature pigs (Sus scrofa domestica). J Am Assoc Lab Anim Sci (2012) 51:246–52.

PubMed Abstract | Google Scholar

66. Hartmann, P, Ramseier, A, Gudat, F, Mihatsch, MJ, Polasek, W, and Geisenhoff, C. Das Normgewicht des Gehirns beim Erwachsenen in Abhängigkeit von Alter, Geschlecht, Körpergröße und Gewicht. Der Pathologe (1994) 15:165–70. doi:10.1007/s002920050040

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Zwezerijnen, GJC, Eertink, JJ, Ferrández, MC, Wiegers, SE, Burggraaff, CN, Lugtenburg, PJ, et al. Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factor. Eur J Nucl Med Mol Imaging (2023) 50:486–93. doi:10.1007/s00259-022-05977-5

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Laffon, E, Adhoute, X, de Clermont, H, and Marthan, R. Is liver SUV stable over time in 18F-FDG PET imaging? J Nucl Med Technology (2011) 39:258–63. doi:10.2967/jnmt.111.090027

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Dias, AH, Hansen, AK, Munk, OL, and Gormsen, LC. Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients. Ejnmmi Res (2022) 12:15. doi:10.1186/s13550-022-00884-0

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Vines, DC, Green, DE, Kudo, G, and Keller, H. Evaluation of mouse tail-vein injections both qualitatively and quantitatively on small-animal PET tail scans. J Nucl Med Technology (2011) 39:264–70. doi:10.2967/jnmt.111.090951

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Alstrup, A, and Smith, D. Anaesthesia for positron emission tomography scanning of animal brains. Lab Anim (2013) 47:12–8. doi:10.1258/la.2012.011173

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Foster, NL, VanDerSpek, AF, Aldrich, MS, Berent, S, Hichwa, RH, Sackellares, JC, et al. The effect of diazepam sedation on cerebral glucose metabolism in Alzheimer's disease as measured using positron emission tomography. J Cereb Blood Flow Metab (1987) 7:415–20. doi:10.1038/jcbfm.1987.84

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: in-ovo imaging, ostrich eggs, animal model, glucose metabolism, preclinical imaging

Citation: Winkens T, Schweitzer P, Perkas O, Kühnel C, Ndum F, Pomraenke M, Greiser J and Freesmeyer M (2025) In-ovo imaging using ostrich eggs: biodistribution of F-18-FDG in ostrich embryos. Exp. Biol. Med. 250:10560. doi: 10.3389/ebm.2025.10560

Received: 02 March 2025; Accepted: 03 June 2025;
Published: 19 June 2025.

Copyright © 2025 Winkens, Schweitzer, Perkas, Kühnel, Ndum, Pomraenke, Greiser and Freesmeyer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Martin Freesmeyer, bWFydGluLmZyZWVzbWV5ZXJAbWVkLnVuaS1qZW5hLmRl

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.