Multimodal Imaging Applications Research Articles

PET/CT-Based Absorbed Dose Maps in 90Y Selective Internal Radiation Therapy Correlate with Spatial Changes in Liver Function Derived from Dynamic MRI.

Functional liver parenchyma can be damaged from treatment of liver malignancies with 90Y selective internal radiation therapy (SIRT). Evaluating functional parenchymal changes and developing an absorbed dose (AD)-toxicity model can assist the clinical management of patients receiving SIRT. We aimed to determine whether there is a correlation between 90Y PET AD voxel maps and spatial changes in the nontumoral liver (NTL) function derived from dynamic gadoxetic acid-enhanced MRI before and after SIRT. Methods: Dynamic gadoxetic acid-enhanced MRI scans were acquired before and after treatment for 11 patients undergoing 90Y SIRT. Gadoxetic acid uptake rate (k1) maps that directly quantify spatial liver parenchymal function were generated from MRI data. Voxel-based AD maps, derived from the 90Y PET/CT scans, were binned according to AD. Pre- and post-SIRT k1 maps were coregistered to the AD map. Absolute and percentage k1 loss in each bin was calculated as a measure of loss of liver function, and Spearman correlation coefficients between k1 loss and AD were evaluated for each patient. Average k1 loss over the patients was fit to a 3-parameter logistic function based on AD. Patients were further stratified into subgroups based on lesion type, baseline albumin-bilirubin scores and alanine transaminase levels, dose-volume effect, and number of SIRT treatments. Results: Significant positive correlations (ρ = 0.53-0.99, P < 0.001) between both absolute and percentage k1 loss and AD were observed in most patients (8/11). The average k1 loss over 9 patients also exhibited a significant strong correlation with AD (ρ ≥ 0.92, P < 0.001). The average percentage k1 loss of patients across AD bins was 28%, with a logistic function model demonstrating about a 25% k1 loss at about 100 Gy. Analysis between patient subgroups demonstrated that k1 loss was greater among patients with hepatocellular carcinoma, higher alanine transaminase levels, larger fractional volumes of NTL receiving an AD of 70 Gy or more, and sequential SIRT treatments. Conclusion: Novel application of multimodality imaging demonstrated a correlation between 90Y SIRT AD and spatial functional liver parenchymal degradation, indicating that a higher AD is associated with a larger loss of local hepatocyte function. With the developed response models, PET-derived AD maps can potentially be used prospectively to identify localized damage in liver and to enhance treatment strategies.

Multimodality imaging applications in the diagnosis of and surgical treatment strategy for intravenous leiomyomatosis: a case description and literature analysis

Multimodality imaging applications in the diagnosis of and surgical treatment strategy for intravenous leiomyomatosis: a case description and literature analysis

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

Most existing federated learning (FL) methods for medical image analysis only considered intramodal heterogeneity, limiting their applicability to multimodal imaging applications. In practice, it is not uncommon that some FL participants only possess a subset of the complete imaging modalities, posing inter-modal heterogeneity as a challenge to effectively training a global model on all participants’ data. In addition, each participant would expect to obtain a personalized model tailored for its local data characteristics from the FL in such a scenario. In this work, we propose a new FL framework with federated modality-specific encoders and multimodal anchors (FedMEMA) to simultaneously address the two concurrent issues. Above all, FedMEMA employs an exclusive encoder for each modality to account for the inter-modal heterogeneity in the first place. In the meantime, while the encoders are shared by the participants, the decoders are personalized to meet individual needs. Specifically, a server with full-modal data employs a fusion decoder to aggregate and fuse representations from all modality-specific encoders, thus bridging the modalities to optimize the encoders via backpropagation reversely. Meanwhile, multiple anchors are extracted from the fused multimodal representations and distributed to the clients in addition to the encoder parameters. On the other end, the clients with incomplete modalities calibrate their missing-modal representations toward the global full-modal anchors via scaled dot-product cross-attention, making up the information loss due to absent modalities while adapting the representations of present ones. FedMEMA is validated on the BraTS 2020 benchmark for multimodal brain tumor segmentation. Results show that it outperforms various up-to-date methods for multimodal and personalized FL and that its novel designs are effective. Our code is available.

Enhancing Acute Bilirubin Encephalopathy Diagnosis with Multi-Modal MRI: A Deep Learning Approach

Background: Acute Bilirubin Encephalopathy (ABE) is a major cause of infant mortality and disability, making early detection and treatment essential to prevent further progression and complications. Methods: To enhance the diagnostic capabilities of multi-modal Magnetic Resonance Imaging (MRI) for ABE, we proposed a deep learning model integrating an attention module (AM) with a central network (CentralNet). This model was tested on MRI data from 145 newborns diagnosed with ABE and 140 non-ABE newborns, utilizing both T1-weighted and T2-weighted images. Results: The findings indicated the following: (1) In single-modality experiments, the inclusion of AM significantly improved all the performance metrics compared to the models without AM. Specifically, for T1-weighted MRI, the accuracy was 0.639 ± 0.04, AUC was 0.682 ± 0.037, and sensitivity was 0.688 ± 0.09. For the T2-weighted images, the accuracy was 0.738 ± 0.039 and the AUC was 0.796 ± 0.025. (2) In multi-modal experiments, using T1 + T2 images, our model achieved the best accuracy of 0.845 ± 0.018, AUC of 0.913 ± 0.02, and sensitivity of 0.954 ± 0.069, compared to models without an AM and CentralNet. The specificity remained relatively stable, while the precision and F1 scores significantly increased, reaching 0.792 ± 0.048 and 0.862 ± 0.017, respectively. Conclusions: This study emphasizes the effectiveness of combining attention modules with CentralNet, significantly enhancing the accuracy of multi-modal MRI in classifying ABE. It presents a new perspective and possibility for the clinical application of multi-modal MRI imaging in the diagnosis of ABE.

NONEXUDATIVE INTRARETINAL FLUID IN INTERMEDIATE AGE-RELATED MACULAR DEGENERATION.

To describe the occurrence of nonexudative intraretinal fluid (IRF) in intermediate age-related macular degeneration. A retrospective study was designed to include consecutive cases with intermediate age-related macular degeneration associated with IRF. A multimodal imaging approach was used to confirm diagnosis of IRF in intermediate age-related macular degeneration. Multimodal imaging included color fundus photograph, fundus autofluorescence, fluorescein angiography, indocyanine green angiography, optical coherence tomography, and optical coherence tomography angiography. Ten eyes of 10 patients (2 male and 8 female patients, ages 68-80 years) showing IRF in intermediate age-related macular degeneration were included in the study. The mean best-corrected visual acuity was 20/40 Snellen equivalent. Multimodal imaging including fluorescein angiography/indocyanine green angiography and optical coherence tomography demonstrated the absence of macular neovascularization in all cases; optical coherence tomography-angiography did not detect any abnormal flow signal associated with IRF. Seven of 10 patients developed IRF in correspondence of pigment epithelium detachment. Three of 10 patients presented IRF in correspondence of an area of nascent geographic atrophy. Nonexudative intraretinal fluid in intermediate age-related macular degeneration is a novel, distinctive feature that is characterized by the presence of IRF with no evidence of macular neovascular lesions. The authors described different phenotypes of IRF in intermediate age-related macular degeneration. The definite diagnosis of this condition requires further studies with thorough application of multimodal imaging.

Application of ultrasound multimodal imaging in the prediction of cervical tuberculous lymphadenitis rupture.

Lymph node tuberculosis is particularly common in regions with a high tuberculosis burden, and it has a great risk of rupture. This study aims to investigate the utility of ultrasound multimodal imaging in predicting the rupture of cervical tuberculous lymphadenitis (CTL). 128 patients with unruptured CTL confirmed by pathology or laboratory tests were included. Various ultrasonic image features, including long-to-short-axis ratio (L/S), margin, internal echotexture, coarse calcification, Color Doppler Flow Imaging (CDFI), perinodal echogenicity, elastography score, and non-enhanced area proportion in contrast-enhanced ultrasound (CEUS), were analyzed to determine their predictive value for CTL rupture within a one-year follow-up period. As a result, L/S (P < 0.001), margin (P < 0.001), internal echotexture (P < 0.001), coarse calcification (P < 0.001), perinodal echogenicity (P < 0.001), and the area of non-enhancement in CEUS (P < 0.001) were identified as significant imaging features for predicting CTL rupture. The prognostic prediction showed a sensitivity of 89.29%, specificity of 100%, accuracy of 95.31%, respectively. Imaging findings such as L/S < 2, unclear margin, heterogeneous internal echotexture, perinodal echogenicity changed, and non-enhancement area in CEUS > 1/2, are indicative of CTL rupture, while coarse calcification in the lymph nodes is associated with a favorable prognosis.

Molecular and cellular imaging of the eye.

The application of molecular and cellular imaging in ophthalmology has numerous benefits. It can enable the early detection and diagnosis of ocular diseases, facilitating timely intervention and improved patient outcomes. Molecular imaging techniques can help identify disease biomarkers, monitor disease progression, and evaluate treatment responses. Furthermore, these techniques allow researchers to gain insights into the pathogenesis of ocular diseases and develop novel therapeutic strategies. Molecular and cellular imaging can also allow basic research to elucidate the normal physiological processes occurring within the eye, such as cell signaling, tissue remodeling, and immune responses. By providing detailed visualization at the molecular and cellular level, these imaging techniques contribute to a comprehensive understanding of ocular biology. Current clinically available imaging often relies on confocal microscopy, multi-photon microscopy, PET (positron emission tomography) or SPECT (single-photon emission computed tomography) techniques, optical coherence tomography (OCT), and fluorescence imaging. Preclinical research focuses on the identification of novel molecular targets for various diseases. The aim is to discover specific biomarkers or molecular pathways associated with diseases, allowing for targeted imaging and precise disease characterization. In parallel, efforts are being made to develop sophisticated and multifunctional contrast agents that can selectively bind to these identified molecular targets. These contrast agents can enhance the imaging signal and improve the sensitivity and specificity of molecular imaging by carrying various imaging labels, including radionuclides for PET or SPECT, fluorescent dyes for optical imaging, or nanoparticles for multimodal imaging. Furthermore, advancements in technology and instrumentation are being pursued to enable multimodality molecular imaging. Integrating different imaging modalities, such as PET/MRI (magnetic resonance imaging) or PET/CT (computed tomography), allows for the complementary strengths of each modality to be combined, providing comprehensive molecular and anatomical information in a single examination. Recently, photoacoustic microscopy (PAM) has been explored as a novel imaging technology for visualization of different retinal diseases. PAM is a non-invasive, non-ionizing radiation, and hybrid imaging modality that combines the optical excitation of contrast agents with ultrasound detection. It offers a unique approach to imaging by providing both anatomical and functional information. Its ability to utilize molecularly targeted contrast agents holds great promise for molecular imaging applications in ophthalmology. In this review, we will summarize the application of multimodality molecular imaging for tracking chorioretinal angiogenesis along with the migration of stem cells after subretinal transplantation in vivo.

Carboxymethyl-hexanoyl chitosan: A promising candidate for hydrophobic and hydrophilic drug delivery

Biodegradable polymers are versatile materials that are used in a plethora of biomedical applications owing to their biocompatible nature, degradability, non-toxicity, and low cost. Among the available biodegradable polymers, chitosan is found highly utilized in various pharmaceutical applications. Chitosan is soluble in weak acidic medium, which hinders further utility in higher concentrations for biological applications. However, derivatives of chitosan could be explored for biomedical applications by considering their aqueous solubility followed by hydrophobic and hydrophilic drug encapsulation efficiency. One among them, carboxymethyl-hexanoyl chitosan (CHC) has demonstrated promising footprints in ocular drug delivery, cancer therapeutics, insulin delivery, tissue engineering, multimodal imaging, antimicrobial activity, and wound healing applications. Furthermore, biocompatibility, water retention and uptake ability, and biodegradability are attributed to the presence of both amino and carboxylic functional groups present in CHC. In the present review, we have given a consolidated overview of CHC-based systems used so far in biomedical applications including global trends and future perspective. We believe that the review will help to understand CHC-based systems and the need for further innovations in the biomedical sciences.

Modal adaptive super-resolution for medical images via continual learning

Details related to tiny abnormal pathologies and textures are crucial for clinical experts and computer-aided diagnosis in medical imaging. Super-resolving medical images provide significant support for disease diagnosis. However, due to differences and diversity in tissue appearance or spatial resolution of images caused by the acquisition principles or parameters in various imaging techniques, it limits their applications in multi-modal medical imaging. To this end, we propose a multi-modal adaptive super-resolution algorithm for reconstructing medical images, named MAda-SR, which improves the traditional Adam optimizer into an adaptive optimizer in terms of parameter updates and optimization strategies. Additionally, we enhance the MSE loss by adjusting its weight space, thereby increasing the transfer potential between multimodal tasks and enabling more extended continual learning. With extensive experimental validation, we demonstrate that a single super-resolution model can handle various modalities of medical datasets without compromising performance. The results indicate that our proposed MAda-SR outperforms comparative methods in terms of controlling forgetting and relearning metrics, achieving both stability and plasticity. The source code is available at https://github.com/wuzheng2022/MAda-SR.

Fabry Disease: More than a Phenocopy of Hypertrophic Cardiomyopathy.

Fabry disease (FD) is a genetic lysosomal storage disease with frequent cardiovascular involvement, whose presence is a major determinant of adverse clinical outcomes. As a potentially treatable cause of left ventricular hypertrophy (LVH) and heart failure with preserved ejection fraction, the early recognition of FD is crucial to initiate enzyme replacement therapy and improve long-term prognosis. Multimodality imaging plays a central role in the evaluation of patients with FD and helps in the differential diagnosis of other conditions presenting with LVH. In the present review, we explore the current applications of multimodality cardiac imaging, in particular echocardiography and cardiovascular magnetic resonance, in the diagnosis, prognostic assessment, and follow-up of patients with FD.

Nanotechnology for brain tumor imaging and therapy based on π-conjugated materials: state-of-the-art advances and prospects.

In contemporary biomedical research, the development of nanotechnology has brought forth numerous possibilities for brain tumor imaging and therapy. Among these, π-conjugated materials have garnered significant attention as a special class of nanomaterials in brain tumor-related studies. With their excellent optical and electronic properties, π-conjugated materials can be tailored in structure and nature to facilitate applications in multimodal imaging, nano-drug delivery, photothermal therapy, and other related fields. This review focuses on presenting the cutting-edge advances and application prospects of π-conjugated materials in brain tumor imaging and therapeutic nanotechnology.

Multi-shell structured nanomaterials with strong red upconversion emission for trimodal biomedical imaging

Upconversion nanomaterials show promising applications in multimodal imaging due to their advantages such as sharp emission bands and non-autofluorescence in tissue. Obtaining intense red upconversion emission is crucial for fluorescence imaging. Herein, we designed a multi-shell structured NaErF4:0.5%Tm3+@NaYF4:20%Yb3+ @NaLuF4 upconversion nanomaterial exhibiting strong red emission and high red-to-green ratio under 980 nm irradiation. The main mechanism of the strong emission is attributed to the inert NaLuF4 shell which serves to block the energy transfer from Yb3+ to surface defects. In addition, a NaGdF4 shell is further cladded considering the property of Gd3+ of facilitating longitudinal relaxation rate of water. The properties of X-ray attenuation, longitudinal relaxation rate, and the upconversion emission of the measured sample suggest that our designed nanomaterial possesses potential for X-ray computed tomography (CT), magnetic resonance imaging (MRI), and fluorescence trimodal imaging.

Design of Water-Soluble Rotaxane-Capped Superparamagnetic, Ultrasmall Fe3O4 Nanoparticles for Targeted NIR Fluorescence Imaging in Combination with Magnetic Resonance Imaging.

Integrating an NIR fluorescent probe with a magnetic resonance imaging (MRI) agent to harvest complementary imaging information is challenging. Here, we have designed water-soluble, biocompatible, noncytotoxic, bright-NIR-emitting, sugar-functionalized, mechanically interlocked molecules (MIMs)-capped superparamagnetic ultrasmall Fe3O4 NPs for targeted multimodal imaging. Dual-functional stoppers containing an unsymmetrical NIR squaraine dye interlocked within a macrocycle to construct multifunctional MIMs are developed with enhanced NIR fluorescence efficiency and durability. One of the stoppers of the axle is composed of a lipophilic cationic TPP+ functionality to target mitochondria, and the other stopper comprises a dopamine-containing catechol group to anchor at the surface of the synthesized Fe3O4 NPs. Fe3O4 NPs surface-coated with targeted NIR rotaxanes help to deliver ultrasmall magnetic NPs specifically inside the mitochondria. Two carbohydrate moieties are conjugated with the macrocycle of the rotaxane via click chemistry to improve the water solubility of MitoSQRot-(Carb-OH)2-DOPA-Fe3O4 NPs. Water-soluble, rotaxane-capped Fe3O4 NPs are used for live-cell mitochondria-targeted NIR fluorescence confocal imaging, 3D and multicolor imaging in combination with T2-weighted MRI on a 9.4 T MR scanner with a high relaxation rate (r2) of 180.7 mM-1 s-1. Biocompatible, noncytotoxic, ultrabright NIR rotaxane-capped superparamagnetic ultrasmall monodisperse Fe3O4 NPs could be a promising agent for targeted multimodal imaging applications.

Gadolinium-Doped Carbon Nanodots as Potential Anticancer Tools for Multimodal Image-Guided Photothermal Therapy and Tumor Monitoring.

This study focuses on the synthesis and characterization of gadolinium-doped carbon nanodots (CDs-Gd) and their potential applications in multimodal imaging and precision cancer therapy. CDs-Gd were synthesized through a solvothermal decomposition method combining citric acid, GdCl3, and urea. The incorporation of Gd3+ ions within the carbonaceous structure resulted in stable CDs-Gd with a peculiar architecture that retained optical and paramagnetic properties. Combined characterization techniques confirmed the presence of pH-sensitive COOH functions on the CDs-Gd surface along with the unique lattice structure induced by Gd3+ doping. The optical properties of CDs-Gd exhibited a tunable emission spectrum displaying blue-green emission with pH-dependent behavior. Additionally, CDs-Gd exhibited contrast-enhancing properties in T1-weighted magnetic resonance imaging (MRI) experiments. MRI acquisitions at different Gd3+ concentrations and pH values demonstrated the potential of CDs-Gd as contrast agents for monitoring pH changes in an aqueous environment. We found that the relaxivity of CDs-Gd at pH 5.5 (tumor, 11.3 mM-1 s-1) is roughly 3-fold higher than that observed at pH 7.4 (physiological, 5.0 mM-1 s-1) and outperformed clinical standards such as γ-butyrol (3.3 mM-1 s-1). Monitoring pH changes in tumor microenvironment (TME) is crucial for evaluating the effectiveness of anticancer treatments and understanding tumor progression. Furthermore, CDs-Gd demonstrated concentration-dependent photothermal conversion ability in the near-infrared (NIR) region, allowing for efficient heat generation under laser irradiation. This indicates the potential application of CDs-Gd in image-guided photothermal therapy (IG-PTT) for cancer treatment. The in vitro studies on MCF-7 (breast cancer) and 16-HBE (healthy bronchial epithelium) cell lines demonstrated that CDs-Gd exhibited high biocompatibility (cell viability >80%). However, upon NIR activation, they showed potent anticancer effects by inhibiting tumor cell proliferation and inducing apoptosis selectively in cancer cells. In conclusion, the synthesized CDs-Gd nanoparticles possess unique optical, photothermal, and MRI contrast properties, making them promising candidates for multimodal imaging-guided precision cancer therapy applications.

Contrast Agents of Magnetic Resonance Imaging and Future Perspective.

In recent times, magnetic resonance imaging (MRI) has emerged as a highly promising modality for diagnosing severe diseases. Its exceptional spatiotemporal resolution and ease of use have established it as an indispensable clinical diagnostic tool. Nevertheless, there are instances where MRI encounters challenges related to low contrast, necessitating the use of contrast agents (CAs). Significant efforts have been made by scientists to enhance the precision of observing diseased body parts by leveraging the synergistic potential of MRI in conjunction with other imaging techniques and thereby modifying the CAs. In this work, our focus is on elucidating the rational designing approach of CAs and optimizing their compatibility for multimodal imaging and other intelligent applications. Additionally, we emphasize the importance of incorporating various artificial intelligence tools, such as machine learning and deep learning, to explore the future prospects of disease diagnosis using MRI. We also address the limitations associated with these techniques and propose reasonable remedies, with the aim of advancing MRI as a cutting-edge diagnostic tool for the future.

Multilayer Polymer Shell Perfluoropentane Nanodroplets for Multimodal Ultrasound, Magnetic Resonance, and Optoacoustic Imaging

AbstractMultimodal imaging increases the value of stand‐alone modalities by enabling simultaneous multiparametric characterization of biological tissues in vivo. Particularly, optoacoustic (OA) tomography has enabled bringing optical imaging advantages to previously unattainable depths and is currently being hybridized with other imaging technologies for enhanced performance. The full potential of these multimodal imaging approaches can only be achieved with dedicated contrast agents ensuring simultaneous measurements and accurate co‐registration of the information provided. Herein, perfluoropentane‐filled nanodroplets are modified, providing excellent contrast in ultrasound imaging, by introducing shell‐embedded additives offering strong contrast in magnetic resonance and OA imaging. Magnetite nanoparticles and indocyanine green (ICG) dye are simultaneously deposited as a multilayer shell on the droplets with the layer‐by‐layer method. This results in sufficiently high amounts of magnetite (0.54 ± 0.08 mg mL−1) and ICG (0.30 ± 0.08 mg mL−1) for efficient magnetic resonance and OA detection, respectively. The high sensitivity achieved with the developed trimodal nanodroplets is first demonstrated in phantom experiments, after which their potential toxic effects, biodistribution, and clearance are examined in vitro and in vivo. Taken together, the obtained results indicate that the developed multilayer polymer shell nanodroplets are efficient hybrid contrast agents for multimodal biomedical imaging applications.

Mitral and Tricuspid Valve Disease in Athletes.

Observing mitral or tricuspid valve disease in an athlete raises many considerations for the clinician. Initially, the etiology must be clarified, with causes differing depending on whether the athlete is young or a master. Notably, vigorous training in competitive athletes leads to a constellation of structural and functional adaptations involving cardiac chambers and atrioventricular valve systems. In addition, a proper evaluation of the athlete with valve disease is necessary to evaluate the eligibility for competitive sports and identify those requiring more follow-up. Indeed, some valve pathologies are associated with an increased risk of severe arrhythmias and potentially sudden cardiac death. Traditional and advanced imaging modalities help clarify clinical doubts, allowing essential information about the athlete's physiology and differentiating between primary valve diseases from those secondary to training-related cardiac adaptations. Remarkably, another application of multimodality imaging is evaluating athletes with valve diseases during exercise to reproduce the sport setting and better characterize the etiology and valve defect mechanism. This review aims to analyze the possible causes of atrioventricular valve diseases in athletes, focusing primarily on imaging applications in diagnosis and risk stratification.

Facile and controllable synthesis of hematite (α-Fe2O3) nanostructures using GRA-APSO and ANN: Reaction performance optimization for haemotoxicity and MRI assessment

The strategic exploration of a synthetic approach to afford pristine theranostic nanoparticles (NPs) endowed with versatile physicochemical properties depends on their structural attributes. Therefore, optimizing their design while preserving the crystallinity will undoubtedly be a key foundational data to resolve and understand their biophysical and therapeutic properties. Herein, we report a facile synthesis of α-Fe2O3 NPs under different experimental conditions via the co-precipitation technique. An optimization method- grey relational analysis coupled adaptive particle swarm optimization (GRA-APSO) and artificial neural network (ANN)-a modeling tool were employed to optimize and predict the relationship between the input parameters (pH, stirring speed, reaction temperature, and calcination temperature) and the response attributes (crystallite size, lattice strain, crystallinity index, bond length, and band gap). X-ray diffraction (XRD) pattern revealed the hematite crystal structure for NPs synthesized under initial (IE) and optimized (OE) experimental conditions. Transmission electron microscopy (TEM) confirmed the hexagonal shape of α-Fe2O3 NPs with particle size averaging at 8.5 and 13.7 nm for OE and IE, respectively. Brunauer–Emmett–Teller (BET) measurements unveiled the mesoscopic structure of the as-synthesized samples with a high specific surface area (160 m2/g) for OE. The magnetic hysteresis analysis displayed the weak-ferromagnetic nature of α-Fe2O3 samples. Pure α-Fe2O3 NPs exhibited high T2 relaxivity (OE-34.8 and IE-36.4 mM−1s−1). Subsequently, haemocompatibility assays demonstrated excellent compatibility of IE and OE samples toward human RBCs. Moreover, synchronous attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) and circular dichroism (CD) measurements proved minimal change in the α-helical content of plasma upon association with α-Fe2O3 NPs. The synergistic outcomes of the present study can promise new avenues for exploring haemocompatible α-Fe2O3 NPs as a novel theranostic nanomedicine for multi-modal imaging and versatile biomedical applications.

Preliminary clinical application of multimodal imaging combined with frameless robotic stereotactic biopsy in the diagnosis of primary central nervous system lymphoma

ObjectiveTo evaluate the clinical application of multimodal imaging combined with frameless robotic stereotactic biopsy in the diagnosis of primary central nervous system lymphoma (PCNSL). MethodsWe retrospectively reviewed the clinical data of 8 patients who were considered suspected cases of PCNSL by multimodal imaging techniques. The final pathologic diagnosis were determined by the frameless robotic stereotactic biopsy. The postoperative related complications and pathological results were analyzed. ResultsAll patients underwent biopsies under general anesthesia with an average surgery time of 29.5 ± 4.5 min. The final pathological diagnostic accordant rate with the preoperative ones was 100%, and the pathologic examination of our patients showed features of diffuse large B-cell lymphoma. During the surgery, one patient suffered intratumoral hemorrhage without leading to serious cerebral edema, and conservative treatment was given. There was no death occurring during the study, and there were no significant differences in the Karnofsky Performance Scale Scores of all patients before and after surgery. Finally, they were transferred to the hematology department for standardized chemoradiotherapy according to the pathological results of PCNSL. ConclusionThis study shows that it may play a vital role in the early diagnosis of PCNSL with the technique of multimodal imaging. The technique of frameless robotic stereotactic biopsy for obtaining the pathology outcomes in suspected PCNSL patients has the advantages of safety, efficiency, and minimally invasiveness.

P-29 - Cyclotron-production of manganese-52 for multi-modal imaging applications

P-29 - Cyclotron-production of manganese-52 for multi-modal imaging applications