Articles tagged with Medical Imaging
A new PET tracer, 64Cu-NOTA-EV-F(ab′2), has been developed for same-day imaging of triple-negative breast and urothelial bladder cancers. The tracer exhibits rapid tumor accumulation and high specificity in nectin-4 positive tumors, enabling accurate non-invasive visualization of this protein.
Faster PET scans show promise for detecting liver inflammation and metabolic dysfunction-associated steatohepatitis. An AI tool combines multiple PET scans to integrate data from different tracers, improving disease insights. New imaging techniques enhance breast cancer surgery and predict recovery after heart attack.
A new algorithm developed by Núria Malats and her team can accurately predict the presence of metastasis in pancreatic cancer using medical images. The PMPD algorithm has shown promising results, classifying 56% of metastases with high accuracy and potentially avoiding unnecessary surgeries.
A study published in The New England Journal of Medicine found that nearly 4 million children and adolescents were at higher risk of developing blood cancers due to radiation exposure from medical imaging. The researchers estimated that up to 10% of pediatric blood and bone marrow cancers may be attributable to radiation exposure.
The PANORAMA microscope overcomes challenges of traditional microscopes by capturing submicron details across an area roughly the size of a U.S. dime without moving the sample. It produces gigapixel-scale images with high resolution, ideal for medical pathology and industrial inspection.
A large meta-study of over 12,000 participants reveals that APOE ε4 genotype, female gender and advanced age are significant risk factors for Alzheimer’s disease. The study confirms previous research and provides highly reliable prevalence estimates.
Researchers developed new methods to accurately target the centromedian nucleus for deep brain stimulation in patients with drug-resistant epilepsy. Advanced imaging techniques, such as high-resolution MRI and DTI tractography, improve targeting accuracy by identifying specific brain pathways and neural firing patterns.
New PET imaging agents show promise for detecting thyroid and neuroendocrine tumors, as well as reversing fibrosis in the heart. Researchers also explored tau PET scans for Alzheimer's detection and SSTR PET/CT for meningioma diagnosis. These advancements hold potential for improving cancer treatment and patient outcomes.
Researchers developed a new PET tracer that effectively identifies synapse loss in the spinal cord and brain after spinal cord injury. The study found reduced uptake of the tracer at the injury site and in the amygdala and cerebellum, suggesting potential for diagnosing and monitoring spinal cord injuries.
A quicker and cheaper two-part MRI scan is just as effective as the current 30-40 minute scan in detecting prostate cancer. The PRIME trial confirms that this streamlined approach can diagnose cancer at the same rate as a full three-part scan, cutting scan time to 15-20 minutes and reducing costs.
Researchers used quantitative susceptibility mapping MRI to detect changes in brain tissue linked to iron levels, predicting mild cognitive impairment and later Alzheimer's disease. The study showed that higher iron levels in specific brain areas could spot early changes years before symptoms appeared.
A population-based study found that CT radiation exposure before conception may increase the risk of spontaneous pregnancy loss and congenital anomalies. Women with prior CT scans were more likely to experience miscarriages, ectopic pregnancies, or stillbirths, as well as birth defects in their offspring.
Researchers have developed a silicon chip that uses light to perform convolution operations for AI, reducing energy consumption and increasing speed. The chip achieves near zero energy performance, leap forward for future AI systems.
Physicians rely on nuclear medicine scans to watch the heart pump, track blood flow and detect diseases. The new perovskite-based detector can capture individual gamma rays with record-breaking precision, leading to sharper, faster, cheaper and safer scans.
Researchers developed a new method to correct for variations in brain imaging measurements, reducing bias and increasing the accuracy of studies on ADHD. The traveling-subject method demonstrated reduced measurement bias while maintaining sampling bias, revealing decreased brain volume in critical regions for cognitive functions.
Researchers have developed new PET tracers to monitor immune responses and inflammation beyond the lungs throughout the course of SARS-CoV-2 infection. These breakthroughs offer a new way to visualize changes in lymph nodes, spleen, and bone marrow, supporting faster and more comprehensive imaging.
A new study introduces an optical imaging technique that uses autofluorescence to detect colorectal cancer in real time, offering a promising tool for improving cancer detection during endoscopic procedures. The technique achieved high accuracy rates and the potential to guide doctors during colonoscopy or surgery.
A researcher at Kennesaw State University is creating digital twins of the human stomach using advanced medical imaging, biomechanics testing, and computational modeling. This could lead to a better understanding of gastrointestinal disorders and more accurate diagnoses.
Researchers have published three studies using new imaging approaches to detect and treat various types of cancer. These advancements include positronium lifetime tomography for sharper scans, targeted radiotherapy for sarcoma patients, and biomarkers for endometrial cancer diagnosis.
Researchers at Uppsala University have developed an AI system that can detect subtle tissue changes indicative of prostate cancer, missing it from human pathologists. The study found the AI detected cancers in over 80% of cases where pathologists missed them.
A new technique uses a topical fluorescent molecular contrast agent to detect basal cell carcinoma, which can be done non-invasively in as little as five minutes. The technique shows promise for improving diagnostic accuracy and reducing unnecessary biopsies.
A new 'dual-mode' tracer agent shows promise in helping surgeons image and plan prostate cancer procedures while also providing guided surgery with real-time radiation detection. The tracer targets PSMA, a protein highly expressed on prostate cancer cells, offering high-resolution visual guidance and targeted radiation density detection.
The seminar, part of a DAAD-JSPS collaboration, will cover the latest topics on drug design and treatment protocols for photodynamic therapy. Researchers from Japan and Germany will present their recent research results on PDT, including nano-DDS applications.
Recent studies have shown promising results for triple-targeted cancer therapy, new PET imaging tracers tracking immune activation, and reducing PET scan doses while maintaining diagnostic accuracy. These advancements hold promise for improving cancer treatment outcomes and precision medicine.
A new study from Denmark shows that men with biochemically recurrent prostate cancer who undergo PSMA PET/CT before salvage radiotherapy have improved survival rates compared to those who do not. This research confirms that PSMA PET/CT is a valuable tool for identifying patients likely to benefit from salvage radiotherapy, potentially ...
Researchers developed an alginate-based microrobot that can be tracked using Magnetic Particle Imaging (MPI) and performs real-time localization, selective thermal therapy, and cell delivery. The robot is powered by a single magnetic actuation system independent of conventional medical imaging devices.
Researchers apply quantum mechanics to denoise medical images by separating localized signal from diffused noise. The method leverages physics-driven principles to automatically separate components of pixels in an image.
The Global Radiopharmaceutical Trial Finder, a new AI-powered platform, helps researchers, clinicians, and patients discover clinical trials for life-changing nuclear medicine procedures. The platform uses real-time global trials data and streamlines the trial participation process.
Researchers evaluated over 1,500 AI algorithms for detecting breast cancers on mammography images, achieving median rates of 98.7% specificity and 27.6% sensitivity. Combining top-performing algorithms resulted in sensitivity boosts to 60.7% and 67.8%, comparable to average screening radiologists.
Researchers developed a radiotracer targeting CD24 protein on liver tumor cells, accurately detecting tumors in mice. PSMA PET/CT scans also tracked prostate cancer spread in patients, predicting shorter survival for those with interlesional progression.
A new AI tool can learn to read medical images with far less data, cutting down the amount of required data by up to 20 times. The tool improves upon medical image segmentation, a labor-intensive task often performed by experts, and boosts model performance in settings with limited annotated data.
Recent AI-based models, such as Asian Prostate Cancer Artificial Intelligence and Galen Prostate, optimize screening and reduce unnecessary biopsies. These models use multimodal clinical parameters and convolutional neural networks to detect prostate cancer and identify aggressiveness of cancer cells.
The 250,000-square-foot facility provides greater availability to high-quality integrated care, addressing the region's increasing demand for innovative diagnostic and treatment services. The pavilion brings together a broad range of nationally ranked clinical programs, including cancer clinics, neurology, and surgery.
Researchers have developed a noninvasive method for visualizing stents through skin using photoacoustic microscopy, potentially reducing the need for surgical access and X-ray exposure. The technique uses sound waves generated by light absorption to create high-resolution images of stents in various conditions.
A first-in-human study found that naloxone reduces opioid receptor availability by 40-50 percent in brain regions, but shows a greater reduction in women compared to men. This suggests sex-based differences in how men and women respond to opioid overdose treatments.
Researchers at the University of Illinois found that benign and cancerous breast calcifications have unique structures and formation processes. The study provides a new classification scheme and opens the possibility of treating benign calcifications using certain drugs.
A new study found that long COVID patients with abnormal cardiopulmonary PET/MR findings are at a higher risk of developing heart and lung diseases. The study included 98 patients with persistent cardiopulmonary symptoms after initial COVID infection and showed significant abnormalities in both PET/MRI and dual-energy CT scans.
The European Research Council has awarded three ERC Proof of Concept grants to Göttingen University professors, enabling the development of initiatives that can benefit Europe's economy and society. The projects focus on harnessing renewable energy, reducing chemical waste, and improving biomedical image analysis.
A new deep learning model enhances handheld 3D medical imaging by automatically tracking transducer motion without external sensors. The model produces more realistic 3D US images and can reconstruct blood vessel structures using ultrasound and photoacoustic data.
Researchers used AI model ChatGPT-4 to extract clinical variables from MRI and CT scans of nearly 1,000 adults with pancreatic cysts. The accuracy rate ranged from 97% for solid components to 99% for calcific lesions, comparable to human performance.
A new mouse study uses advanced OCT imaging to reveal the fallopian tube's pumping mechanism in transporting preimplantation embryos towards the uterus. The study sheds light on the biological mechanisms underlying reproductive challenges like infertility and ectopic pregnancy.
The UK Biobank has completed a groundbreaking imaging project, scanning the brains, hearts, abdomens, blood vessels, bones and joints of 100,000 volunteers to understand how diseases develop. The project is already improving patient care in the NHS and beyond, with over 1,300 peer-reviewed scientific papers published based on the data.
A study published in Radiology found that AI decision support systems improve breast cancer detection accuracy and visual search patterns among radiologists. With AI assistance, radiologists spend more time examining regions with actual lesions, leading to better performance and efficiency.
A new prototype imaging system combines light-emitting diodes (LEDs) with hyperspectral imaging technology to create detailed maps of tissue properties invisible to conventional cameras. The system shows promise for cancer detection during endoscopy, achieving real-time speeds and high-quality data comparable to reference systems.
Rice University professor Lei Li has received a NSF CAREER Award to develop wearable medical imaging technology capable of visualizing deep tissue function in real time. The project aims to miniaturize hospital-grade imaging systems into compact, energy-efficient wearables.
A new computational method combines 4D flow MRI, CFD, and data assimilation to estimate blood flow in brain aneurysms with greater accuracy and efficiency. The approach focuses on the aneurysm region, reducing computational cost while improving flow estimation.
Researchers at the University of Illinois Urbana-Champaign have developed a new non-invasive MRI approach that visualizes brain metabolism and detects metabolic alterations associated with brain diseases. The technique uses magnetic resonance spectroscopic imaging to provide insights into brain function and disease processes.
A landmark national study in China identifies the most effective treatment strategies for unruptured brain aneurysms, analyzing over 874,000 clinical entries and 42,000 radiological scans. The trial aims to guide patient-specific treatment strategies and inform healthcare planning in China's aging population.
A new AI-assisted technique called PACT has been developed to help differentiate between suspicious and healthy tissue in breast imaging. The method, which combines light and sound into a single modality, performs as well as or better than conventional techniques like mammography and MRI.
Researchers developed a classification system to accurately distinguish granulomas from peripheral lung cancers based on thin-section computed tomography (TSCT) features. Satellite lesions, halo sign, and calcification are indicative of granulomas, while well-defined solid nodules with lobulation raise suspicion for PLCs.
The Society of Nuclear Medicine and Molecular Imaging's Annual Meeting featured over 120 continuing education sessions on innovations in oncology, neurology, and cardiology. The meeting also showcased cutting-edge technology, including AI, theranostics, and novel imaging probes.
A new study involving 121 former elite rowers from Australia found that one in five develops atrial fibrillation, a condition that can lead to stroke and heart failure. The researchers identified genetic and clinical tools that enable early preventive strategies, highlighting the paradox that AFib is more common among fit athletes.
A cardiac magnetic resonance imaging (MRI) scan usually takes anywhere from 30 to 90 minutes. The AI-assisted model developed by Mizzou researchers can turn low-quality MRI heart scans into high-quality images in less time, while improving patient experience and reducing costs.
Heather Jacene, MD, has been elected as the new president-elect of SNMMI, with a focus on strengthening the organization and promoting nuclear medicine. She aims to create opportunities for member participation and multidisciplinary collaborations, while raising awareness of nuclear medicine's value to clinical colleagues and patients.
Dr. Gary Ulaner has been elected vice president-elect of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), committed to advancing nuclear medicine research and expanding educational activities for professionals. As part of his role, he aims to drive growth and funding for training new radiochemistry and physics professionals.
A novel PET imaging approach can accurately detect and monitor Mycobacteroides abscessus lung infections. The technique uses 11C-PABA PET to differentiate between bacterial infection and inflammatory diseases.
A new PET/CT imaging technique visualizes activated fibroblasts in the heart muscle, detecting multiple forms of cardiomyopathy. The method provides valuable insights into disease progression and helps improve risk stratification for patients with non-ischemic cardiomyopathy.
Jean-Luc C. Urbain has been named president of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), aiming to integrate radiopharmaceutical theranostics into clinical practice. As president, he plans to prioritize research, education, and patient safety to benefit patients worldwide.
A study found that modifiable risk factors like education, BMI, and hypertension can slow down the spread of Alzheimer's tau tangles. The research suggests that modifying these risk factors can help delay disease progression.
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.