Articles tagged with Medical Imaging
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.
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.
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.
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.
A new method for creating key components of solar cells, X-ray detectors, and LEDs uses water to control the growth of phase-pure perovskite crystals. This approach allows for precise tuning of crystal structures at room temperature.
Researchers have developed a vertical matrix X-ray detector that can distinguish between substances of different densities, enhancing imaging contrast and identifying soft substances. The device uses a novel design to restore the X-ray spectrum in detail, enabling effective multi-energy discrimination under a single exposure.
A new device, consisting of a smart stent and printed soft sensors, can wirelessly monitor hemodynamics in real-time, detecting various vascular conditions. The system uses inductive coupling for wireless energy transfer and has the potential to replace existing clinical devices and angiograms.
Researchers at the University of Tsukuba developed a portable MRI system to identify wrist cartilage damage among athletes, providing a convenient means of early detection and treatment. The system enables quick screening at remote locations, eliminating the need for hospital visits.
A study found that higher levels of active brown adipose tissue are associated with early metabolic dysfunction and pre-cooling glucose, insulin, thyroid stimulating hormone, and triglyceride levels. Activated brown fat was recruited to counteract 'pre-prediabetic' states, potentially serving as a first-line protective mechanism.
A recent study presented at the 2022 ARRS Annual Meeting found that COVID-19 infection significantly impacted lung cancer screening in diverse inner-city populations. The research revealed that approximately 9% of participants developed COVID-19 during the pandemic, with mortality rates reaching 6.9%.
A retrospective study found high sensitivity and specificity for diagnosing coronary artery calcium on contrast-enhanced and non-contrast chest CT. The visual ordinal assessment of CAC has prognostic utility, identifying patients at higher risk of cardiovascular events.
Researchers have developed a new type of optical fiber that generates high-power supercontinuum light in the mid-infrared spectrum, expanding its applications for environmental monitoring and cancer diagnostics. The non-silica graded-index fiber provides a self-cleaning mechanism, enabling efficient generation of broadband sources.
Researchers found that video radiology reports improved patients' understanding of their results by using lay language and annotated images. The reports were also well-received by patients, with an average rating of 4.7 out of 5.
A multicenter study found that only 42% of patients with a visualization score C on surveillance exams maintain the same score on follow-up exams. The study suggests that alternative surveillance strategies may be necessary for patients at risk for HCC, particularly those with severe steatosis and advanced cirrhosis.
Conjunctival goblet cells play a crucial role in tear film stability, and their dysfunction is linked to various ocular surface diseases. A new microscopy system allows for non-invasive examination of CGCs in live animal models and humans, enabling precise diagnosis and treatment of ocular surface diseases.
A new multimodal eye scanner combining optical coherence tomography (OCT) and Raman spectroscopy enables the detection of molecular information in the internal structure of the eye. This technology aims to detect neurodegenerative diseases, such as Alzheimer's and Parkinson's, at an early stage, improving treatment options.
Researchers at Boston University have developed optoacoustic neurostimulation with single neuron and subcellular level precision. Optoacoustic neuromodulation may offer advantages over ultrasonic neuromodulation, including higher spatial temporal resolution.
A retrospective case-control study found no significant difference in traumatic intracranial hemorrhage frequency between adult patients on antithrombotic therapy and those not on the therapy. However, hematoma expansion occurred more frequently in patients on antithrombotic therapy.
Researchers have developed miniaturized reflectors that enlarge the uses of remote infrared spectroscopy, allowing for field-ready devices with minimal size, weight, and power requirements. The devices utilize Ge-BaF2 thin films for surface micromachined mid-wave and long-wave infrared reflectors.
Researchers found a nearly 16-fold higher prevalence of olfactory cleft abnormalities in patients with COVID-19 and olfactory dysfunction compared to controls. The blockages are expected to resolve with time, but nerve damage may be more difficult to recover from.
The new center aims to develop quantitative imaging markers to reduce subjectivity in medical image diagnosis and improve consistency. Researchers will explore cutting-edge imaging modalities and extract effective image features from existing clinical imaging modalities to aid in cancer detection and treatment.
A new phenomenon was discovered where increased pressure leads to a sudden burst of rapid and coordinated cellular motion, spraying outwards from the tumour. This fluid-like pushing mechanism can kill cancer cells but also enables them to survive and multiply in new environments.
Researchers at KTH Royal Institute of Technology developed a technique to study lung disease in living mice without using mechanical ventilation. The method uses phase-contrast X-ray tomography to produce high-resolution images of the lungs, including even the smallest airways, with low radiation doses.
Researchers have developed a new approach to micro-computed tomography using phase contrast and high-brilliance x-ray radiation, enabling detailed analysis of microstructures and broad applications in medicine, biology, and material sciences.