Noninvasive Visualization Research Articles

Molecular imaging of renal cell carcinomas: ready for prime time.

The clinical diagnosis of renal cell carcinoma (RCC) is constantly evolving. Diagnostic imaging of RCC relying on enhanced computed tomography (CT) and magnetic resonance imaging (MRI) is commonly used for renal mass characterization and assessment of tumour thrombosis, whereas pathology is the gold standard for establishing diagnosis. However, molecular imaging is rapidly improving the clinical management of RCC, particularly clear-cell RCC. Molecular imaging aids in the non-invasive visualization and characterization of specific biomarkers such as carbonic anhydrase IX and CD70 within the tumours, which help to assess tumour heterogeneity and status. Target-specific molecular imaging of RCCs will substantially improve the diagnostic landscape of RCC and will further facilitate clinical decision-making regarding initial staging and re-staging, monitoring of recurrence and metastasis, patient stratification and selection, and the prediction and evaluation of treatment responses.

Advancing Cancer Vaccines with Radionuclide Imaging.

Cancer vaccines are emerged as a beacon of hope in the fight against cancer. However, the lack of effective methods to directly observe their in vivo behavior and monitor therapeutic responses hinders their translation into clinical settings. Radionuclide imaging allows for non-invasive and real-time visualization of vaccine biodistribution and immunological response, offering valuable insights into the effectiveness of cancer vaccines and aiding in patient stratification. In this review, the latest advances and potential applications of radionuclide imaging in cancer vaccines are discussed, with a specific focus on strategies for visualizing the spatiotemporal distribution of vaccines in vivo and monitoring treatment efficacy. The challenges and considerations for implementing these techniques in clinical practice are also highlighted, aiming to inform and guide future research in this field.

Developmental Imaging of Radish Sprouts Using Dynamic Optical Coherence Tomography.

The germination process of radish sprouts was investigated in detail using volumetric dynamic optical coherence tomography (OCT). Dynamic OCT involves the sequential acquisition of 16 OCT images and subsequent temporal variance analysis of each pixel, enabling non-invasive visualization of the cellular and tissue activities of plants. The radish sprouts were longitudinally investigated for up to 12 days, and changes in morphology and dynamic OCT image patterns were observed as the plants developed. The dynamic OCT signals in the vessels and growing roots were relatively high in the early stage of germination and decreased as the tissue matured. These results suggest that dynamic OCT is sensitive to water and nutrient transport as well as cellular activities associated with plant growth.

Le coroscanner peut-il être réalisé en dépistage à grande échelle en prévention des syndromes coronaires aigus et de l'insuffisance cardiaque ischémique ?

Coronary CT-Scan permits non-invasive visualization of all stages of coronary artery atherosclerosis allowing early therapeutic interventions, lifestyle changes and accurate follow-up all of which result in an improved prognosis. We discuss the possibility of a systematic coronary CT-scan in the global population at certain ages such as fifty or sixty years-old (or both). May this strategy decrease the onset of myocardial infarction or ischemic chronic heart failure thus improving quality (and quantity) of life? May it also reduce the medical costs for the individual and the society? Is it technically possible to deploy such a strategy? What would be the obstacles for its set up and what solutions might be proposed?

Radiofrequency Enhancer to Recover Signal Dropouts in 7 Tesla Diffusion MRI.

Diffusion magnetic resonance imaging (dMRI) allows for a non-invasive visualization and quantitative assessment of white matter architecture in the brain by characterizing restrictions on the random motion of water molecules. Ultra-high field MRI scanners, such as those operating at 7 Tesla (7T) or higher, can boost the signal-to-noise ratio (SNR) to improve dMRI compared with what is attainable at conventional field strengths such as 3T or 1.5T. However, wavelength effects at 7T cause reduced transmit magnetic field efficiency in the human brain, mainly in the posterior fossa, manifesting as signal dropouts in this region. Recently, we reported a simple approach of using a wireless radiofrequency (RF) surface array to improve transmit efficiency and signal sensitivity at 7T. In this study, we demonstrate the feasibility and effectiveness of the RF enhancer in improving in vivo dMRI at 7T. The electromagnetic simulation results demonstrated a 2.1-fold increase in transmit efficiency with the use of the RF enhancer. The experimental results similarly showed a 1.9-fold improvement in transmit efficiency and a 1.4-fold increase in normalized SNR. These improvements effectively mitigated signal dropouts in regions with inherently lower SNR, such as the cerebellum, resulting in a better depiction of principal fiber orientations and an enhanced visualization of extended tracts.

ВОЗМОЖНОСТИ ПРИМЕНЕНИЯ НЕИНВАЗИВНЫХ ОФТАЛЬМОЛОГИЧЕСКИХ МЕТОДОВ ДИАГНОСТИКИ ПАТОЛОГИЧЕСКИХ СОСТОЯНИЙ ПРОЦЕССА РАННЕГО СТАРЕНИЯ НА МОДЕЛИ ПРИМАТОВ

Currently, there is an urgent need for early diagnostics, searching for means of predicting the development of cognitive deficit, and assessing the dynamics of changes during treatment. Given the common origin of the brain and eye, which undergo the same onto- and phylogenetic development, some researchers have suggested that the eye can act as a “window” for easily accessible and non-invasive methods for studying brain pathology [3]. The popularity of fundamental research is growing, and interest in creating disease models in primates is becoming more relevant. The creation of such models will significantly expand the possibilities of obtaining the most reliable information, especially in the field of gerontology and brain pathology (cataract, senile ring, age-related changes in the fundus and other signs of early aging). In this part of the work, approaches to studying the fundus, physiological parameters of the structures and functions of the visual organ in rhesus macaques and hamadryas baboons of different ages are developed; potential ophthalmological biomarkers for diagnosing early aging processes are considered. A combined approach using ophthalmological markers, including non-invasive visualization of the retina and detection of pathological proteins in the intraocular fluid, lens or retina, in combination with biomarkers of oxidative stress (malondialdehyde, lipofuscin, protein carbonyls, 8-OH-deoxyguanosine) will allow us to develop a methodology for diagnosing the development and correction of early aging in humans on a primate model.

ВОЗМОЖНОСТИ ПРИМЕНЕНИЯ НЕИНВАЗИВНЫХ ОФТАЛЬМОЛОГИЧЕСКИХ МЕТОДОВ ДИАГНОСТИКИ ПАТОЛОГИЧЕСКИХ СОСТОЯНИЙ ПРОЦЕССА РАННЕГО СТАРЕНИЯ НА МОДЕЛИ ПРИМАТОВ

Currently, there is an urgent need for early diagnostics, searching for means of predicting the development of cognitive deficit, and assessing the dynamics of changes during treatment. Given the common origin of the brain and eye, which undergo the same onto- and phylogenetic development, some researchers have suggested that the eye can act as a “window” for easily accessible and non-invasive methods for studying brain pathology [3]. The popularity of fundamental research is growing, and interest in creating disease models in primates is becoming more relevant. The creation of such models will significantly expand the possibilities of obtaining the most reliable information, especially in the field of gerontology and brain pathology (cataract, senile ring, age-related changes in the fundus and other signs of early aging). In this part of the work, approaches to studying the fundus, physiological parameters of the structures and functions of the visual organ in rhesus macaques and hamadryas baboons of different ages are developed; potential ophthalmological biomarkers for diagnosing early aging processes are considered. A combined approach using ophthalmological markers, including non-invasive visualization of the retina and detection of pathological proteins in the intraocular fluid, lens or retina, in combination with biomarkers of oxidative stress (malondialdehyde, lipofuscin, protein carbonyls, 8-OH-deoxyguanosine) will allow us to develop a methodology for diagnosing the development and correction of early aging in humans on a primate model.

Recent advances in positron emission tomography for detecting early fibrosis after myocardial infarction.

Cardiac remodeling after myocardial infarction is one of the key factors affecting patient prognosis. Myocardial fibrosis is an important pathological link of adverse ventricular remodeling after myocardial infarction, and early fibrosis is reversible. Timely detection and intervention can effectively prevent its progression to irreversible ventricular remodeling. Although imaging modalities such as CMR and echocardiography can identify fibrosis, their sensitivity and specificity are limited, and they cannot detect early fibrosis or its activity level. Positron emission tomography (PET) allows non-invasive visualization of cellular and subcellular processes and can monitor and quantify molecules and proteins in the fibrotic pathway. It is valuable in assessing the extent of early myocardial fibrosis progression, selecting appropriate treatments, evaluating response to therapy, and determining the prognosis. In this article, we present a brief overview of mechanisms underlying myocardial fibrosis following myocardial infarction and several routine imaging techniques currently available for assessing fibrosis. Then, we focus on the application of PET molecular imaging in detecting fibrosis after myocardial infarction.

3-D Visualization of Atlantic salmon skin through Ultrasound and Photoacoustic Microscopy.

Three-dimensional photoacoustic imaging (PAM) has emerged as a promising technique for non-invasive label-free visualization and characterization of biological tissues with high spatial resolution and functional contrast. The application of PAM and ultrasound as a microscopy technique of study for Atlantic salmon skin is presented here. A custom ultrasound and photoacoustic experimental setup was used for conducting this experiment with a sample preparation method where the salmon skin is embedded in agarose and lifted from the bottom of the petridish. The results of C-scan, B-scan, and overlayed images of ultrasound and photoacoustic are presented. The results are then analyzed for understanding the pigment map and its relation to salmon behavior to external stimuli. The photoacoustic images are compared with the optical images and analyzed further. A custom colormap and alpha map is designed and the matrices responsible for PAM and ultrasound are inserted together to overlay the ultrasound image and PAM image on top of each other. In this study, we propose an approach that combines scanning acoustic microscopy (SAM) images with PAM images for providing a comprehensive understanding of the salmon skin tissue. Overlaying acoustic and photoacoustic images enabled unique visualization of tissue morphology, with respect to identification of structural features in the context of their pigment distribution.

Construction of New MRI Contrast Agents for Spatiotemporal Visualization of Nitric Oxide in Ischemia/Reperfusion Organs.

Noninvasive and real-time nitric oxide (NO) visualization in vivo is still a challenge. Herein, we constructed a series of NO-responsive magnetic resonance imaging (MRI) contrast agents Gd1b-e by modifying Gd-DO3A using a bis-pyridyl-ethylamine side chain as a signal-amplifying moiety and o-phenylenediamine as a NO-responsive linker. It was found that Gd1b, d, and e can form macromolecular ternary complexes (Gd-Zn2+-HSA) with high longitudinal relaxivity (r1) (12.2-16.2 mM-1 s-1). Once reacting with NO, the o-phenylenediamine linker was hydrolyzed to produce a small molecular Gd complex with sharply decreased r1 (4.7-6.3 mM-1 s-1). Among them, Gd1d with a desirable pharmacokinetic profile (t1/2 = 5.91 h) could clearly distinguish the ischemia-reperfusion (IR) liver with excessive NO in rats. Meanwhile, the temporarily reduced amount of NO in the IR liver and brain by the NO scavenger 2-phenyl-4,4,5,5-tetramethylimidazoline-3-oxide-1-oxyl could enhance the signal of Gd1d, suggesting anticipated NO-responsive property. This research offers a new avenue for insight into the NO spatiotemporal property in multiple IR organs.

Leveraging photosensitive and thermally stable luminescent Ba2ZnWO6:Eu3+, M+ (M+= Na, K , and Li) nanophosphor for targeted non-invasive and stain-free visualization of cracked tooth syndrome

The cracked tooth syndrome poses a significant challenge in dentistry, thereafter untreated cases often lead to severe complications, such as pulpitis or complete tooth fracture, ultimately contributing to tooth loss. However, the conventional diagnostic methods to visualize microcracks in the tooth suffer from severe drawbacks, such as inaccurate cold stimulation, discomfort with probing, impractical staining techniques, and difficulty in distinguishing harmless craze lines from pathological cracks. To address this challenge, for the first time, we are proposing a novel approach by utilizing luminescent Ba2ZnWO6:Eu3+ (3 mol %), K+ (1 wt %) nanophosphor for improved imaging and diagnosis of cracked tooth syndrome. Herein, the double perovskite structured Ba2ZnWO6:Eu3+ (1–11 mol %), M+ (M+ = Na, K, and Li (1 wt %)) nanophosphors were synthesized via the sonochemical route. The photoluminescence emission spectra of the prepared Ba2ZnWO6:Eu3+ (1–11 mol %) nanophosphors displaying distinct peaks at 583, 595, 613, 662, and 720 nm, which ascribed to transitions from state 5D0 to 7FJ (J = 1–4) state of the Eu3+ ions, respectively. By adopting a strategic charge compensation mechanism, the enhancement in the luminescence emission intensity of about 1.5-fold was achieved after co-doping K+ (1 wt %) with Ba2ZnWO6:Eu3+ (3 mol %) nanophosphor. The photometric studies of the phosphors portray their orange-red emission with excellent quantum efficiency (82.52 %), and color purity (∼ 99 %). The emission intensity was sustained up to 73.71 % at 473 K, indicating excellent thermal stability of the phosphor. The in vitro cytotoxicity assessments of the optimized nanophosphor demonstrated its biocompatibility on normal non-malignant oral fibroblasts. The visualized microcracks in the tooth using optimized Ba2ZnWO6:Eu3+ (3 mol %), K+ (1 wt %) nanophosphor under UV excitation of UV 365 and 395 nm light revealed the orientation of microcracks, crack width, depth of the crack, and microcrack branching without any stain. The aforementioned results demonstrated that the proposed methodology paves the way for a new avenue in dental imaging technology with the potential to revolutionize and improve patient care outcomes.

Development of a unified framework of low-rank approximation and deep neural networks for predicting the spatial variability of SSC in `Spania' watermelons using vis/NIR hyperspectral imaging

Soluble Solids Content (SSC) is an important quality attribute that represents the internal quality of fruits. Visible and near-infrared (Vis/NIR) combined with chemometric algorithms are now popular methods for non-invasive measurement and visualization of SSC. However, in fruits with a thick rind and a large flesh volume, such as watermelon, SSC is not evenly distributed across the fruit. The variability in SSC across the fruit flesh may have an adverse effect on the accuracy of quality analysis algorithms. Thus, this paper presents an accurate and efficient approach for predicting the spatial variation of SSC in watermelons using a combined framework of low-rank approximation and deep neural networks. Watermelon ‘Spania’ was selected for this study, and hyperspectral images of each watermelon were taken from various views, including the top, bottom, and two lateral views. The low-rank property is employed as a constraint in this approach to eliminate the unwanted variations in the spectral data. The low-rank component of the spectral data, free of unwanted variations, is then fed into a fully connected neural network (FNN) for the prediction of watermelon SSC values. The proposed approach obtained optimal performance in calibration and prediction with RC2=0.982, RMSEP = 0.132, and RP2=0.945, RMSEP = 0.195 respectively. Further, the prediction outcomes of the proposed method were compared with state-of-the-art such as Partial Least Square Regression (PLSR), Support Vector Regression (SVR), Multiple Linear Regression (MLR), Decision Tree (DT), and Random Forest (RF). The overall results showed that combining HSI data with a low-rank and deep neural network framework is an efficient method for accurately predicting SSC in watermelons as well as correctly predicting spatial variability of SSC in individual fruits.

Inflammatory stimuli impact on cellular uptake and biodistribution of perfluorocarbon nanoemulsions.

Intravenously administered perfluorocarbon nanoemulsion (PFC) are taken up by phagocytic immune cells which enables the non-invasive visualization of inflammatory hot spots by combined 1H/19F magnetic resonance imaging (MRI). However, little is known about the influence of inflammatory stimuli on cellular uptake and biodistribution of PFCs. Here, we systematically investigated the impact of inflammation induced by subcutaneous implantation of Matrigel/lipopolysaccharide (Matrigel/LPS) or myocardial infarction (MI; 50 minutes ischemia reperfusion) on PFC-uptake and biodistribution in C57BL/6J mice. We detected strong 19F signals in Matrigel/LPS plugs and infarcted hearts, which were completely absent in controls. Cellular uptake of PFCs was increased in neutrophils isolated from the blood and Matrigel/LPS plugs, whereas uptake by monocytes was only slightly elevated. In contrast, MI caused only a moderate early increase of PFC-uptake in monocytes and neutrophils. Interestingly, the inflammatory model did also affect the biodistribution of the PFCs. The blood half-life of PFCs was slightly increased after Matrigel/LPS implantation, whereas it was reduced after MI. Compared to controls, the 19F signal of the liver was significantly stronger in Matrigel/LPS, but not in MI animals. Interestingly, stimulation of primary immune cells and RAW264.7 macrophages with LPS had no effect on PFC-uptake, whereas CRP-incubation elevated internalization of PFCs at least in RAW264.7 cells. In conclusion, we show that the cellular PFC-uptake can differ between individual inflammatory conditions. This is an important aspect that has to be considered for the proper interpretation of 1H/19F MRI data obtained from inflammatory hot spots.

Real-time two-dimensional visualization reveals the transport mechanisms of biochar colloids in the presence of DOM in porous media

Biochar colloids (BCs) have attracted much attention globally, and their fate and transport in the subsurface are significantly influenced by soil-dissolved organic matter (DOM) in soil. This study utilized a real-time and non-invasive visualization system to reveal the transport and retention behavior of BCs in the presence of DOM in two-dimensional porous media. Results indicated that the presence of DOM enhanced the transport of BCs, due to its increased negative charge density and increased repulsion between BCs. The change in the particle size of the porous medium was also shown to affect the BCs transport in the porous media. Additionally, the negative charge of BCs shielded by high IS, the mobility of BCs decreased by 30.37 % from 1 mM to 50 mM. When the pH was increased from 5 to 9, the oxygen-containing functional groups of BCs and DOM were dissociated, and the mobility of BCs increased by 32.41 %. Through a simplified Double-Monod model, we fitted the breakthrough curves for BCs transport in porous media (R2 > 0.94). Moreover, the mechanism of different conditions on colloid clogging behavior was further elucidated through the DLVO theory. These findings extend the understanding of the environmental behavior of BCs in the presence of DOM derived from soil, enabling us to assess better and predict their environmental risks.

Molecular Imaging of p53 in Mouse Models of Cancer Using a Radiolabeled Antibody TAT Conjugate with SPECT.

Mutations of p53 protein occur in over half of all cancers, with profound effects on tumor biology. We present the first-to our knowledge-method for noninvasive visualization of p53 in tumor tissue invivo, using SPECT, in 3 different models of cancer. Methods: Anti-p53 monoclonal antibodies were conjugated to the cell-penetrating transactivator of transcription (TAT) peptide and a metal ion chelator and then radiolabeled with 111In to allow SPECT imaging. 111In-anti-p53-TAT conjugates were retained longer in cells overexpressing p53-specific than non-p53-specific 111In-mIgG (mouse IgG from murine plasma)-TAT controls, but not in null p53 cells. Results: In vivo SPECT imaging showed enhanced uptake of 111In-anti-p53-TAT, versus 111In-mIgG-TAT, in high-expression p53R175H and medium-expression wild-type p53 but not in null p53 tumor xenografts. The results were confirmed in mice bearing genetically engineered KPC mouse-derived pancreatic ductal adenocarcinoma tumors. Imaging with 111In-anti-p53-TAT was possible in KPC mice bearing spontaneous p53R172H pancreatic ductal adenocarcinoma tumors. Conclusion: We demonstrate the feasibility of noninvasive invivo molecular imaging of p53 in tumor tissue using a radiolabeled TAT-modified monoclonal antibody.

LiDAR and CAD Reconstruction of Queen's University Ontario Hall

The emergence of highly accurate LiDAR (Light Detection and Ranging) technology has opened new avenues for engaging with and understanding cultural heritage sites. How do we convert buildings like Ontario Hall into editable 3D models to engage various stakeholders in a campus setting? This initiative developed from the goal of MobArch (Queen's Mobile Laboratory for the study of Architecture and the Built Environment) to use non-invasive visualization technologies to understand the social, developmental, and environmental impacts upon our built environment and architectural past. Current initiatives involving LiDAR for heritage conservation investigate hidden aspects of sites or address structural disrepair. The Ontario Hall project uniquely documents the state of a heritage building before structural concerns arise. This project creates an accurate digital record of Ontario Hall for future infrastructure initiatives and cultural preservation. In addition, this project tests the limits of LiDAR with 3D reconstruction in CAD (Computer Aided Design) software. This project used the Leica RTC360 3D Laser Scanner to create over 300 scans with a point cloud density of 6mm. The resulting cloud was optimized using Leica Cyclone Register 360 Plus software and was imported to Sketch Up where a 3D model was manually reconstructed based on the cloud data. The result of this project is a SKP file containing the 3D model, and the point cloud. The cloud is a highly accurate resource for future infrastructure projects. The 3D model contains room volumes, windows, staircases, and external architectural elements in a more edit-friendly software environment allowing diverse stakeholders to creatively reimagine Ontario Hall. The model can be integrated into archives, websites, games, and VR. Heritage architecture can contribute to the marketing appeal and visual identity of Queen’s. Moreover, awareness of community heritage improves social wellbeing and addresses the need to connect with our built history.

Noninvasive visualization of the midline-crossing arterial variation in the deep inferior epigastric artery perforator flap using photoacoustic tomography for application in patients with abdominal scars

BackgroundThe importance of the subcutaneous arterial network crossing the midline in transverse abdominal flaps has been reported. Photoacoustic tomography can be used to noninvasively visualize subcutaneous vascular networks. We applied this novel technology preoperatively in patients undergoing breast reconstruction to detect individual variations in the midline-crossing arteries. MethodsSix patients scheduled to undergo breast reconstruction using free deep inferior epigastric artery perforator flaps were examined. Each scan of the 12×8-cm region took approximately 8min. The accuracy of the tentative arteries evaluation defined by photoacoustic tomography was compared with the arterial phase detected by intraoperative indocyanine green angiography. The number of perforator vessels used for the flap, surgical time for flap elevation, and perfusion area ratio were compared with those of the control group. ResultsThe average match rate between tentative arteries prediction by photoacoustic tomography and arterial-phase assessment by intraoperative angiography in 5 patients was 79.8%. Each midline crossing artery showed individual variations. The photoacoustic tomography group (PAT-1 to 5) showed 1.8 perforators per flap, 163minutes for flap elevation, and 93% perfusion area, with no significant differences from the control group (N=5). A 63-year-old woman (PAT-6) with abdominal scars, including a midline abdominal incision, showed a preserved midline crossing artery. The planned single perforator deep inferior epigastric perforator flap was successfully applied to the contralateral perfusion area. ConclusionsPhotoacoustic tomography noninvasively visualizes the subcutaneous midline-crossing arterial networks. Understanding individual vascular variations can support preoperative planning and surgical indication of abdominal flaps, especially in patients with postsurgical scars.

Statistical estimation theory detection limits for label-free imaging.

The emergence of label-free microscopy techniques has significantly improved our ability to precisely characterize biochemical targets, enabling non-invasive visualization of cellular organelles and tissue organization. However, understanding each label-free method with respect to the specific benefits, drawbacks, and varied sensitivities under measurement conditions across different types of specimens remains a challenge. We link all of these disparate label-free optical interactions together and compare the detection sensitivity within the framework of statistical estimation theory. To achieve this goal, we introduce a comprehensive unified framework for evaluating the bounds for signal detection with label-free microscopy methods, including second-harmonic generation, third-harmonic generation, coherent anti-Stokes Raman scattering, coherent Stokes Raman scattering, stimulated Raman loss, stimulated Raman gain, stimulated emission, impulsive stimulated Raman scattering, transient absorption, and photothermal effect. A general model for signal generation induced by optical scattering is developed. Based on this model, the information obtained is quantitatively analyzed using Fisher information, and the fundamental constraints on estimation precision are evaluated through the Cramér-Rao lower bound, offering guidance for optimal experimental design and interpretation. We provide valuable insights for researchers seeking to leverage label-free techniques for non-invasive imaging applications for biomedical research and clinical practice.

Dual-Spatial Domain Generalization for Fundus Lesion Segmentation in Unseen Manufacturer's OCT Images.

Optical Coherence Tomography (OCT) images can provide non-invasive visualization of fundus lesions; however, scanners from different OCT manufacturers largely vary from each other, which often leads to model deterioration to unseen OCT scanners due to domain shift. To produce the T-styles of the potential target domain, an Orthogonal Style Space Reparameterization (OSSR) method is proposed to apply orthogonal constraints in the latent orthogonal style space to the sampled marginal styles. To leverage the high-level features of multi-source domains and potential T-styles in the graph semantic space, a Graph Adversarial Network (GAN) is constructed to align the generated samples with the source domain samples. To align features with the same label based on the semantic feature in the graph semantic space, Graph Semantic Alignment (GSA) is performed to focus on the shape and the morphological differences between the lesions and their surrounding regions. Comprehensive experiments have been performed on two OCT image datasets. Compared to state-of-the-art methods, the proposed method can achieve better segmentation. The proposed fundus lesion segmentation method can be trained with labeled OCT images from multiple manufacturers' scanners and be tested on an unseen manufacturer's scanner with better domain generalization. The proposed method can be used in routine clinical occasions when an unseen manufacturer's OCT image is available for a patient.

Modern Instrumental Methods of Diagnostics and Risk Assessment of Developing Antitumor Therapy Cardiovasculotoxicity.

The most important component of cardio-oncology is the assessment of the risk of development and diagnosis of cardiovascular toxicity of the antitumor therapy, the detection of which is largely based on visualization of the cardiovascular system. The article addresses up-to-date methods of non-invasive visualization of the heart and blood vessels, according to the 2022 European Society of Cardiology Clinical Guidelines on cardio-oncology. Also, the article discusses promising cardiovascular imaging techniques that are not yet included in the guidelines: assessment of coronary calcium using multislice computed tomography and positron emission computed tomography with 18F-labeled 2-deoxy-2-fluoro-d-glucose.