Articles tagged with Medical Imaging
Researchers at the Queensland Brain Institute developed a new ultrafast fMRI technique to study brain activity. The technique revealed that brain activity follows preferential circuits depending on cell type organisation, and blood signals can reflect network organisation and cell type distribution.
Researchers from the University of Tsukuba have found distinct changes in brain activity patterns that can differentiate between Alzheimer's disease and Lewy body dementia. These changes were present before symptoms emerged and could be detected using conventional MRI.
The Chan Zuckerberg Initiative grant will support advanced imaging training for over 2,000 scientists through a combination of hands-on events and online resources. Array tomography, an imaging technique that offers higher resolution and detailed molecular labeling, will be a key focus of the project.
Scientists at Göttingen University have created a novel approach to produce X-ray images in color from a single exposure, eliminating the need for focusing and scanning. This breakthrough method uses an X-ray color camera and a specially structured plate to capture the intensity pattern of fluorescing atoms in a sample.
Researchers developed a novel, calibration-free, and reconstruction-free imaging technique that directly obtains a clear image from a single shot of speckle images. The method uses real-time video imaging to build a three-dimensional image, taking slices through the speckles.
Researchers at Beckman Institute for Advanced Science and Technology will use a unique combination of MRI and mass spectrometry imaging techniques to study Alzheimer's disease on an unprecedented scale. By capturing detailed chemical information, they aim to understand the molecular-level changes that occur in aging brains and develop ...
A study found that nearly half of Medicare patients with non-small cell lung cancer do not receive the recommended FDG PET/CT imaging prior to radiation therapy, leading to decreased overall and cancer-specific survival rates. This lack of adherence is linked to greater mortality rates.
Researchers analyzed MRI images of Olympic athletes' injuries during the 2020 Tokyo Games and found that those with tendon tears were more likely to drop out. The study aims to improve injury management and prevention by understanding different types of muscle injuries and their outcomes.
A recent study from West Virginia University found that states permitting nurse practitioners to exercise full practice authority (FPA) tend to have a more diverse and racially aligned NP workforce. In FPA states, Black NPs serve 2.8% more Black Medicare beneficiaries than in non-FPA states.
Researchers found that individuals who were resistant to anaesthesia had fundamental differences in the fronto-parietal regions of the brain, which could be predicted prior to sedation. These brain differences may require higher doses of propofol for individuals to become nonresponsive.
KAUST researchers have designed and built novel organic scintillator materials for detecting X-rays at low doses, overcoming stability issues with existing ceramic or perovskite materials. The new approach uses heavy atoms to improve X-ray absorption capability and exciton utilization efficiency.
Researchers found that MMTV-NeuT/ATTAC mice treated with anti-PD-1 therapy developed increased tumor-associated macrophages, EMT, fibroblast proliferation, and enhanced extracellular matrix. These findings suggest potential therapeutic avenues to enhance PD-1 immune checkpoint sensitivity.
Researchers developed an innovative deep learning-based approach to classify epileptic seizures in near real-time, overcoming clinical limitations. The system uses action recognition with intelligent 3D cropping to distinguish between frontal and temporal lobes seizures or non-epileptic events.
The procedure requires thorough pre-procedural evaluation and assessment of anatomical and hemodynamic data. Long-term results indicate that TPVR can effectively restore RVOT function, while improving survival rates and reducing the need for reintervention across age groups. Vigilant testing is recommended to avoid rare but serious com...
Researchers from Nagoya University found that 5G network telemedicine is effective in providing telerehabilitation and teletreatment in a remote community. The study showed that 5G transmitted high-definition images with low latency, reducing the need for physical therapist visits and improving patient outcomes.
A study published in the American Journal of Roentgenology found that reconstruction using BI64 kernel and 0.4-mm slice thickness yielded improved bronchial division identification and pulmonary fissure sharpness without loss in pulmonary vessel sharpness or pathology conspicuity.
A new mesoscopic oblique plane microscopy method captures up to three times more resolvable image points than other similar systems, enabling whole-body volumetric recordings of neuronal activity and blood flow dynamics. The technique allows for single-cell tracking within the complete 3D circulation system for the first time.
A new deep learning model using conditional generative adversarial networks (cGANs) has been developed to diagnose bowel ischemia. The model achieved an accuracy of over 93% in segmenting ischemic intestine images, surpassing current subjective methods.
Researchers developed a novel optical technique to directly monitor cerebral oxygen consumption and blood flow in real-time. The technique uses phosphorescent probes to track the brain's oxygen gradient, providing valuable insights into brain activity and metabolism.
Researchers found variable voltages in breast cancer cell membranes, which may indicate an electrical communication network between cells. This discovery could lead to new treatments by disrupting this network, potentially making cancer cells easier to treat.
Researchers at Duke University have developed a new method called 3D Tracking and Imaging Microscopy (3D-TrIm) to capture real-time 3D footage of viruses approaching cells. This technique combines two microscopes in one, allowing scientists to study the early moments before infection begins and how viruses navigate complex barriers.
Researchers develop hybrid brightfield-darkfield transport of intensity approach, expanding accessible sample spatial frequencies and achieving 5-fold resolution increase. This method enables precise detection and quantitative analysis of subcellular features in large-scale cell studies.
Dual-energy CT (DECT) metrics provide insight into physiologic changes after lung cancer surgery, beyond PFTs and conventional CT. Lung perfusion ratio increases were greater after lobectomy than limited resection.
A new project aims to create more race-inclusive AI in medicine by developing a distributed, inclusive data collection and learning framework that relies on smartphone apps. The framework uses federated learning, which allows models to be trained on device data while protecting user privacy.
A deep learning algorithm trained on adult populations shows improved sensitivity for diagnosing thyroid nodules in children, with higher accuracy than traditional ACR TI-RADS. The study suggests the potential benefits of this new approach for evaluating thyroid nodules in younger patients.
A study published in the American Journal of Roentgenology found that large specialized referral centers for complex IVC filter retrievals achieved a 100% success rate and low adverse event rates. Prolonged filter dwell time was identified as an independent predictor of adverse events.
Researchers from Xi'an Jiaotong-Liverpool University found that brain stimulation combined with a nose spray containing nanoparticles can improve recovery after ischemic stroke. The treatment increased cognitive and motor functions, and weighed more quickly than those treated with TMS alone.
Researchers used advanced imaging techniques to understand the structure of bacterial propellers, which are made of a single protein. The study reveals that bacteria push themselves forward by coiling these appendages into corkscrew shapes, and that similar structures have evolved independently in archaea.
Reduced kidney function and increased urine albumin excretion are associated with brain volume reduction in regions typically affected by Alzheimer's disease and other dementia etiologies. Cognitive decline is common in patients with kidney disease, and this study provides new insights into the etiology and localization of brain damage.
Researchers developed lanthanide-doped fluoride nanoparticles that exhibit superior photostability, low toxicity and convenient device processability. These particles also show promising applications in biomedicine and optical information encoding, enabling broadband detection in theory.
A pilot study published in AJIC suggests that portable thermal imaging cameras can detect color changes reflecting drops in temperature after applying alcohol-based hand sanitizer. The findings have promise for improving hand hygiene practices among healthcare professionals.
A novel 937-nm laser source has been developed for multiphoton microscopy, enabling deep tissue imaging at depths of over 600 µm with only 10 mW of power. This breakthrough technology offers a good balance between sensitivity, penetration depth, and imaging speed.
Researchers at Washington University in St. Louis have invented a technique to generate Airy beams in water using 3D-printed binary acoustic metasurfaces, enabling broad applications in biomedical imaging and therapy.
Researchers at Mayo Clinic Comprehensive Cancer Center found that metabolic imaging, combined with traditional treatment response assessment methods, can provide critical information to guide therapy for pancreatic cancer patients. The use of positron emission tomography (PET) with 18-fluorodeoxyglucose (FDG) tracer adds significant pr...
The study found a significant increase in the use of single-encounter thoracoabdominopelvic CT examinations and minor injuries between 2011-18. In commercially insured patients, rates rose from 3.4 to 9.8 for single-encounter thoracoabdominopelvic CT per 1,000 trauma-related ED encounters.
Researchers developed a label-free Raman spectroscopy approach with enhanced sensitivity and speed, allowing for non-invasive imaging of biological samples. The new CARS microscopy system can acquire microscopic images and identify biomolecules with unprecedented resolution and speed.
A recent study by Massachusetts General Hospital found that urgent care centers can divert imaging tests away from emergency departments after spinal trauma, resulting in cost savings. The study analyzed data from May 2021 to August 2021 and estimated annual savings of $437,928.
A study published in the American Journal of Roentgenology found that combining deep-learning reconstruction with a subtraction technique yielded optimal diagnostic performance for detecting in-stent restenosis by coronary CT angiography. This approach reduced radiation exposure while maintaining high image quality.
Researchers at Washington University in St. Louis developed a new imaging tool that uses optical coherence tomography (OCT) and machine learning to detect and classify cancerous tissue samples with high accuracy. The technique, which was tested on patients in a trial, showed a 93% diagnostic accuracy rate.
A retrospective study found that patients with multiple architectural distortions on digital breast tomosynthesis were more likely to have high-risk pathology, but not significantly different frequencies of malignancy. Biopsy of all areas may be warranted for these patients.
Gwangju Institute of Science and Technology researchers have developed a rabbit-scale three-dimensional magnetic particle imaging system that can scan large volumes at high resolution. The system uses amplitude modulation to minimize peripheral nerve stimulation while maintaining high image quality.
A retrospective study of molecular breast imaging (MBI) findings suggests that the MBI lexicon's lesion descriptors can inform interpretation and guide the incorporation into the BI-RADS Atlas. The study found high positivity rates for malignancy among mass lesions, those with marked uptake intensity, and certain distribution patterns.
A study found that patients with a specific form of age-related macular degeneration are at significant risk for cardiovascular disease and stroke. Researchers discovered a strong association between the disorder's subretinal drusenoid deposits and high-risk vascular diseases.
A joint study by HKUST and HKUMed researchers has identified a broadly neutralizing antibody, ZCB11, that protects Syrian hamsters against all SARS-CoV-2 Omicron variants. The antibody demonstrates potent antiviral activities and can protect lung infection under both prophylactic and therapeutic conditions.
A multicenter study found that radiologists can accurately diagnose rickets and classic metaphyseal lesions (CMLs) with high interobserver agreement and diagnostic performance. The study highlighted the importance of considering age factors in diagnosis, as CMLs mostly occur in children younger than 6 months.
Researchers develop speckle-based compressive imaging technique to improve deep-tissue imaging in Alzheimer's disease studies. The method reduces pixel measurements needed, producing high-resolution images up to 11 times faster and three times bigger than traditional raster-scan approach.
A 5-tiered CT scoring algorithm, including mass-to-cortex corticomedullary attenuation ratio and heterogeneity score, showed substantial inter-observer agreement and moderate diagnostic accuracy for clear-cell RCC. The algorithm may represent a clinically useful tool for diagnosis in small solid renal masses.
Scientists studied embryonic development in fish and cartilaginous fish, revealing that the jaw shares a common developmental origin with the gill. The findings support the theory that the jaw evolved by modification of an ancestral gill, which was previously considered controversial.
The Journal of Nuclear Medicine has achieved an impact factor of 11.082, a 10% increase over last year's score of 10.057. This marks the highest impact factor in the journal's history, reflecting the growing importance of nuclear medicine as a whole.
A scoping review of knowledge graph applications in medical imaging analysis identifies increasing trend and potential future directions. The study highlights the effectiveness of prior knowledge in medical imaging tasks, but also reveals limitations, including limited annotated data and weak generalizability.
A newly developed small-molecular radiopharmaceutical pair has successfully visualized and treated melanoma in a preclinical study. The theranostic approach targets metabotropic glutamate receptor 1 (GRM1) found in many human solid tumors.
A prospective randomized study found that an AI support platform reduced chest CT interpretation times by 22.1%, saving approximately one hour per day for radiologists. The platform provided automated analysis of cardiac, pulmonary, and musculoskeletal findings, resulting in shorter interpretation times.
Scientists create genetically engineered mouse model that changes color in response to light, allowing them to isolate background noise from blood flow and enhance imaging techniques. This breakthrough enables researchers to observe internal physiology with unprecedented accuracy, paving the way for new treatments and therapies.
Researchers led by Atsuo Sasaki aim to identify mechanisms behind cell movement and energy allocation in cancer cells, with potential applications beyond cancer treatment. They will use scanning ion-conductance microscopy and machine learning technology to study the role of GTP in cellular migration.
A team from the Institute for X-ray Physics at the University of Göttingen has developed a new method for X-ray microscopy that uses imperfect lenses to achieve higher image quality and sharpness. The researchers used a lens consisting of finely structured layers deposited on a thin wire and adjusted it between the object to be imaged ...
Researchers validated a liquid biopsy test as a better predictor of immunotherapy response in lung cancer patients compared to traditional tumor biopsies. The test measures the PD-L1 biomarker in blood, showing improved accuracy in predicting treatment outcomes and survival.
Researchers have developed a new tool to visualize leukocytes in the brain vasculature during in vivo two-photon laser scanning microscopy. The tool uses a fluorescent antibody targeting CD45, a ubiquitously expressed protein on white blood cells, allowing for tracking of circulating leukocytes over time and space.
A new statistical method for brain mapping is proposed to improve accuracy by removing redundant associations. The study uses simulations to test the method's performance on fake diseases and scores, revealing its superiority over existing approaches. The next step is to apply this refined analysis to study Alzheimer's disease.
Researchers at Penn Medicine have developed an imaging agent that detects cancer cells in real-time during biopsies, offering promise for earlier and more accurate diagnoses. The technology, known as NIR-nCLE, uses a combination of near-infrared tracers and confocal laser endomicroscopy to identify microscopic cancer cells.
Researchers at the Beckman Institute found a direct link between high-fat diets and heightened nitric oxide levels, which can lead to increased risk of inflammation and cancer development. The study used a molecular probe to visualize changes in the tumor microenvironment.