Articles tagged with Medical Imaging
Researchers used PET imaging to map brain inflammation in PAOS patients, finding distinct patterns that correlate with tau pathology and Parkinson-plus syndrome. The study provides new insights into neuroinflammation's role in disease progression and may lead to earlier diagnosis and targeted treatments.
A new PET radiotracer can detect a wide range of mold species linked to life-threatening infections in cancer and transplant patients. The imaging agent, 18F-FDS, has the potential to dramatically enhance diagnosis and monitoring of invasive mold infections.
A new peptide-based PET tracer outperforms FDG PET in measuring PD-L1 expression in head and neck cancers. The tracer's uptake strongly correlates with PD-L1 levels, suggesting its potential for personalized treatment strategies.
Researchers at the University of Missouri have developed a new imaging probe that can help surgeons accurately identify and remove aggressive brain tumors during operations. The tool, known as FA-ICG, uses near-infrared light to highlight tumor cells from within.
Researchers developed a novel PET tracer targeting phosphodiesterase 4B to visualize real-time brain inflammation. The tracer showed superior image quality and greater brain distribution compared to existing tracers, highlighting its potential for early diagnosis and personalized therapy in neurodegenerative diseases.
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) has selected 7 new Fellows for their exceptional achievements in the field. The SNMMI Fellowship is a prestigious recognition of outstanding service to the society and excellence in scientific discovery, educational efforts, or clinical practice.
A newly developed cardiac PET imaging technique offers a simpler way to detect significant coronary artery disease by eliminating the need for complex scanning protocols. The technique has been shown to accurately estimate myocardial flow reserve during both exercise and pharmacologic stress, making advanced heart imaging more accessible.
Shannon Youngblood, a seasoned nuclear medicine professional, has been elected as President-Elect of the SNMMI Technologist Section. She aims to elevate visibility and recognition for nuclear medicine professionals through advocacy, promote diversity and inclusion in the workforce, and advance education and professional development. Wi...
Julie C. Price has been recognized for her groundbreaking work on PET imaging techniques and multimodal imaging for translational neuroscience. She aims to advance early detection of Alzheimer's disease-related tau protein deposition.
A novel integrated molecular imaging approach using dual PET/MR and PET/CMR techniques enables precise localization of heart damage and accurate identification of disease subtypes. This method also provides direct evidence supporting surgery as a cardio-protective intervention in patients with primary aldosteronism.
Cybil Nielsen has been elected as the new president of the SNMMI Technologist Section, with a focus on expanding educational programs, mentorship opportunities, and networking events. She aims to promote the recognition and advancement of nuclear medicine technologists within the healthcare landscape.
Wynn Volkert, a renowned expert in nuclear medicine, has been awarded the 2025 SNMMI Georg Charles de Hevesy Nuclear Pioneer Award. He made significant contributions to radiopharmaceutical development, including FDA-approved agents for brain and bone imaging.
Two new PET imaging agents have been developed to identify the histamine H3 receptor, which regulates learning, memory, and sleep. These novel tracers show high brain uptake, excellent specificity, and improved in vivo stability.
A new PET imaging technique has successfully visualized three radiotracers in a single scan, enabling a more comprehensive molecular profile of disease. This innovation offers the potential to deliver greater precision in both diagnosis and therapeutic assessment, particularly for complex diseases like cancer.
A new brain imaging platform combining upright PET scanning, AR eye tracking, and motion tracking enables researchers to study brain function in a more natural and dynamic way. This approach offers a more realistic view of brain activity, holding promise for earlier detection of cognitive disorders.
Advanced software is used to measure radiation dose distribution throughout the body, ensuring patient safety and tailoring treatments. Post-therapy imaging helps identify complications and guide clinical decisions, ultimately optimizing treatment outcomes and protecting patients.
Researchers found that low blood flow at rest may predict heart failure or death, while low stress flow may indicate heart attack risk. A new PET scan method also showed promise for Alzheimer's detection with high accuracy and minimal discomfort.
Researchers at ETH Zurich have developed a novel solution for image sensors, utilizing lead halide perovskite to capture every photon of light. This allows for improved color recognition and higher resolution, as well as advantages in hyperspectral imaging.
A team of scientists from Colorado State University and the University of São Paulo have developed a seismological solution to improve the resolution of ultrasound images for lung monitoring. This breakthrough could lead to improved critical care for patients, including continuous lung monitoring at the bedside. The technique uses seis...
Researchers at Colorado State University have demonstrated the reversal of embolism in a type of wild grass, which can recover from extended drought within 24 hours. This finding has significant implications for improving agricultural productivity and food security, as it could potentially be bred into crops to make them more resilient...
A collaborative research team led by KAIST has developed a groundbreaking technology that uses advanced optical techniques combined with an AI-based deep learning algorithm to create realistic 3D images of cancer tissue. This breakthrough paves the way for next-generation non-invasive pathological diagnosis.
A new study published in Radiology: Cardiothoracic Imaging has established the normal range of measurements that indicate a healthy heart's response to exercise. The research found that men's hearts are more responsive to exercise than women's, which can help diagnose heart conditions earlier and more accurately.
A novel screening approach called VEST uses virtual echocardiography to identify patients at high risk of pulmonary arterial hypertension, a life-threatening form of heart failure. The tool has been shown to generate accurate PAH risk scores without manual calculations and can guide timely referrals for expert care.
The American Association for Anatomy has awarded over $238,000 to nearly 200 individuals through various awards and scholarship programs. The organization recognizes outstanding achievements in research, education, and professional development, supporting career advancement and further education opportunities.
Researchers studied obesity's impact on breast cancer, linked imaging patterns to lung disease survival, and tracked hidden inflammation in COVID-19 patients using advanced PET imaging techniques.
New studies explore peptide receptor radionuclide therapy, targeted radiation for prostate cancer, and neuroendocrine tumor treatment. Targeted radiation boosts survival in colorectal liver cancer and bone metastases, while a new PET imaging tracer shows promise for detection.
A new study published in Radiology found that abbreviated breast MRI is an effective screening method for women with extremely dense breasts, detecting cancer while reducing scan times by up to 80%. The abbreviated protocol retains a high level of diagnostic accuracy comparable to the full protocol MRI.
A new study reveals that fine-tuned large language models (LLMs) greatly improve error detection in radiology reports, outperforming other NLP tools. The LLMs successfully identify various types of errors, including transcription and directional mistakes, providing a promising solution for medical proofreading.
Scientists have developed a novel pretargeting system to boost cancer imaging using DARPin G3, which achieves specific tumor targeting with reduced kidney and liver uptake. GRPR is emerging as a powerful tool for both imaging and treatment in various cancers, offering personalized cancer care across multiple tumor types.
The introduction of standardized criteria for amino acid PET in brain metastases diagnosis and treatment could improve patient care and accelerate innovative treatment strategies. The new criteria may allow a more precise distinction between true tumour changes and therapy-related effects.
Researchers at University of East Anglia developed 4D flow MRI scan to diagnose aortic stenosis more accurately and reliably than current ultrasound techniques. The technology offers more accurate measurements of blood flow through heart valves, leading to better prediction of when patients need surgery.
The journal is inviting submissions on AI applications in biomedical engineering, focusing on medical device development, personalized diagnostics, and patient outcome prediction. Accepted articles will be published as part of a themed section showcasing current research on AI applications in biomedical engineering.
Researchers have developed new imaging tools to visualize protein changes in Alzheimer's, heart and lung issues in long COVID patients, and a common marker in nasopharyngeal cancer. A first-in-human trial tests a next-generation radiopharmaceutical for advanced prostate cancer.
A new MRI technique measures a person's 'functional age' of their heart, revealing how unhealthy lifestyles add years to their heart's aging process. This method has the potential to transform heart disease diagnosis and offer a lifeline to millions by catching problems early.
Researchers developed fluorescent polyionic nanoclays that can be customized for medical imaging, sensor technology, and environmental protection. These tiny clay-based materials exhibit high brightness and versatility, enabling precise tuning of optical properties.
Current computed tomography (CT) imaging may lead to up to 103,000 future cancers over a patient's lifetime. If practices persist, CT-associated cancer could account for 5% of all new diagnoses annually.
A new study suggests AI-driven smart devices can revolutionize healthcare by detecting cardiac issues early, triggering emergency responses. The Internet of Medical Things (IoMT) technology enables real-time patient monitoring and analysis, improving efficiency and reducing costs.
The study reveals that muscle fibers shorten as forces increase during fast hopping, allowing for faster motion. This counterintuitive behavior enhances leg stiffness, which could impact sports training, rehabilitation, and robotics.
The device enables precise control over terahertz wave polarization, revolutionizing applications such as data transmission, imaging, and sensing. This innovation promises to transform fields like wireless communication and biomedical imaging.
A new study has shown that high-resolution ultrasound can diagnose prostate cancer as effectively as MRI, with improved resolution and lower costs. The technology, called micro-ultrasound, is expected to speed up diagnosis, reduce hospital visits, and make imaging more accessible, particularly in less developed healthcare systems.
Researchers explore new techniques to improve prostate cancer diagnosis and treatment, including dual-target PET/CT for enhanced lymph node staging and novel PSMA-targeted radioligands for more precise tumor targeting.
PRISm is a form of Pre-Chronic Obstructive Pulmonary Disease (Pre-COPD) characterized by respiratory symptoms and reduced lung function. Imaging assessments, such as computed tomography scans and magnetic resonance imaging, play a crucial role in diagnosing and predicting the prognosis of PRISm.
A new study reveals that schizophrenia's complexity is reflected in the individual brain structures of patients, with some experiencing perceptual disturbances and others cognitive impairments. The research suggests a precision medicine approach could tailor therapies to each patient's unique neurobiological profile.
Researchers introduce a dual threshold classifier to interpret circulating tumor DNA levels, enabling earlier detection of disease progression and personalized treatment. The study confirms that ctDNA levels are superior to traditional biomarkers like CA15-3.
A new technique using optical coherence tomography (OCT) probe aims to improve kidney biopsy imaging, reducing failed surgeries and improving patient outcomes. The technology could also help identify tumor types and reduce cases of renal hemorrhage.
Researchers have developed a perovskite X-ray detector that uses cascade engineering to reduce dark current, enabling high-quality medical images at ultra-low doses. The device achieved a detection limit of 100 nGy·s−1, a significant improvement over previous limits.
Researchers from Tokyo Metropolitan University developed a new dye that strongly absorbs second near-IR radiation, transforming it to heat. This breakthrough enables clearer imaging and better delivery of heat for therapies in deep tissue medicine.
A novel bio-inspired camera capable of ultra-high-speed imaging and high sensitivity has been developed by KAIST researchers. The camera mimics the visual structure of insect eyes and achieves frame rates thousands of times faster than conventional cameras, while providing clear images in low-light conditions.
The Tomosynthesis Mammographic Imaging Screening Trial (TMIST) has successfully enrolled over 108,000 women worldwide for a randomized controlled trial comparing 2D and 3D mammography. The study aims to determine whether 3D mammography is more effective in reducing advanced breast cancer risk.
A new AI model will analyze combined data from calcium-scoring CT scans, clinical risk factors, and demographics to identify high-risk patients. The project aims to accurately predict cardiovascular events, including heart failure, and provide personalized treatment options.
Researchers developed a software tool called clipping spline to visualize complex structures in 3D images. The tool provides unprecedented capabilities to analyze 4D OCT images of embryonic mouse heart development, revealing unseen dynamics and processes.
A recent study published in Nature Medicine found that AI significantly improves breast cancer detection rates, detecting an additional cancer case per 1,000 women screened. The results show improved efficiency without increasing false positives or unnecessary follow-ups.
Osaka University researchers have reported a method that gives high-resolution Raman microscopy images of biological samples, up to eight times brighter than previous methods. This technique uses no stains and doesn't require chemicals to fix cells in position, providing a highly representative view of processes and cell behavior.
A new scanning method allows experts to see the effects of treatment on lung function in real time and enable early identification of decline. The scan method enables researchers to quantify the degree of improvement in ventilation when patients have a treatment, which could be valuable in clinical trials.
Scientists have created a new class of microscopic flower particles that can guide medicines to specific locations in the body and be easily tracked using ultrasound. The particles' unique shape and structure allow them to absorb large amounts of active substance molecules, making them an effective carrier for targeted medication deliv...
A Virginia Tech researcher has received a collaborative grant to improve cancer therapies by developing 3D liver organoids and employing cutting-edge microscopy technology. The project aims to identify the most effective treatments for cancer, enabling better-targeted treatments.
A new study found significantly higher injury rates among transgender women compared to cisgender women, with increased risk of head, facial, and chest injuries. The findings emphasize the need for timely IPV screening and support for vulnerable populations.
Researchers at the University of Rochester Medical Center have discovered a potential biomarker for psychosis diagnosis by analyzing brain connectivity patterns. The 'somato-visual' biomarker shows promise in predicting psychosis onset and stratifying patients into clinically meaningful subgroups.
Scientists at IOCB Prague have developed a new compound that securely binds metal elements, known as lanthanides, inside molecules of medical drugs. This breakthrough discovery, called 'ClickZip', improves diagnostics and accelerates drug development by making pharmaceuticals more stable.
Researchers introduce persistence barcodes, a tool that reduces diagnostic bias and uncovers subtle details in medical images. The method preserves key structural details, enabling clearer insights into the data.