Articles tagged with Medical Imaging
Researchers at the University of Rochester have developed a lower-cost imaging system that overcomes challenges in near-infrared light transmission through deep tissue and dense fog. The AI-enhanced time-gating technique produces clearer images in these environments, improving applications such as cancer detection and LiDAR systems.
A new robotic system demonstrates superior accuracy and geometric fidelity compared to traditional methods, preserving more surrounding bone and reducing unnecessary removal. The technology has potential to make tooth autotransplantation more predictable and less dependent on operator experience.
The PolyU developed AI Virtual Patient Simulation System combines multimodal data from genomic, medical imaging and clinical records to create a digital twin model tracking real-time changes in a patient's condition. It predicts the effectiveness of different cancer treatment options and supports personalized medical solutions.
Research published in The Journal of Nuclear Medicine highlights the importance of intermediate amyloid PET uptake in Alzheimer's disease diagnosis and its association with cognitive decline. Additionally, studies show promising results for early SPECT/CT response prediction in PSMA-positive prostate cancer treatment, as well as potent...
The open-source image analysis pipeline accurately measures brain tissue changes in animal models, reducing variability among thousands of scans. The tool has the potential to improve early-stage evaluation of new therapies for acute ischemic stroke.
The study found that LVIS stent-assisted coiling provided effective aneurysm occlusion while producing measurable hemodynamic changes and maintaining procedural safety. Treatment reduced blood-flow activity within the aneurysm, with sustained improvements at 6 months.
New research articles published in The Journal of Nuclear Medicine explore intensified PSMA-targeted therapy for advanced prostate cancer, as well as novel approaches to targeted radiopharmaceutical therapy. Studies also investigate radiation doses from PSMA-targeted therapy and their relationship with treatment outcomes, while others ...
Dr. Natalie Lui and her team are developing a molecular imaging agent, pan800, to identify lung cancer tumors during surgery. This technique aims to reduce complications and recurrence by enabling surgeons to achieve complete removal of tumors.
A study published in Molecular Psychiatry found that about 65% of patients who developed psychosis after age 40 showed abnormal tau buildup, compared to 15% of healthy older controls. The findings suggest diverse tau-related brain changes may be involved in late-onset psychosis.
Researchers explore how engineered lanthanide carriers can tune the optical and magnetic properties of ions for improved signal contrast and reduced background signals in biomedical imaging. The study highlights opportunities for multimodal imaging, theranostics, and AI-guided probe design.
A new imaging system links heart structure and electrical activity across the entire organ, revealing how scar tissue interferes with heartbeat. The technology identifies different tissue types based on light interaction and tracks electrical signals in real-time.
Recent progress in lanthanide carriers is mapped to improve biomedical imaging and diagnosis, combining optical, X-ray, and magnetic resonance imaging techniques. These carriers enable high-resolution imaging with tunability for different applications, reducing tissue damage and enhancing image clarity.
A new method for three-dimensional visualization of nanoplastic distribution in the neonatal mouse brain has been established, revealing particle-size-dependent biodistribution patterns. The study found that smaller particles (50 nm) were widely distributed throughout the brain, while larger particles (500 nm) showed weaker accumulation.
A new grant will support research into how strokes disrupt brain networks controlling the bladder, aiming to identify imaging biomarkers predicting treatment response. Researchers will use advanced brain imaging and non-invasive spinal stimulation to develop a personalized approach for treating bladder problems after stroke.
Researchers found that high brain metabolism is associated with longer overall survival, and it's an independent prognostic factor for overall survival. Brain metabolism measured by ¹⁸F-FDG PET/CT provides valuable insight into patient outcomes and may help identify patients most likely to benefit from early supportive care.
A new study published in The Journal of Nuclear Medicine has found that dual-energy SPECT may enable faster monitoring of PSMA therapy, reducing imaging time from 18 minutes to 9 minutes. Another study showed a prognostic model using PSMA PET can predict outcomes after therapy, including overall survival and PSA progression-free survival.
A new study found that PET/CT scans improved the diagnosis of fever of unknown origin (FUO) in nearly 75% of patients. The study identified predictive markers for a positive scan, including high C-reactive protein and short duration of prior antibiotic therapy.
A Tulane University team is using AI to discover new superconductors, which could improve the nation's electrical grid, medical imaging, and quantum computing. The project combines high-fidelity calculations, physics-aware AI, and experimental measurements to accelerate discovery.
A Chinese neurosurgical journal's study found that severe stenosis of major intracranial arteries increases the risk of cerebral infarction after revascularization surgery in moyamoya disease. Severe blockage was associated with postoperative infarctions, highlighting the importance of monitoring and mitigating this risk factor.
Researchers have made significant breakthroughs in targeted radiation therapy for pancreatic cancer, PARP inhibitor treatment, and Alzheimer's disease detection. New PET-based scores may predict prostate cancer outcomes, while blood cell mutations are associated with side effects in advanced prostate cancer patients.
Researchers found that tau buildup in PSP affects brain networks involved in thinking, including the prefrontal cortex and anterior cingulate cortex. The study suggests that symptoms arise from both local tau-related damage and remote disruption of a broader cognitive network.
Researchers successfully acquired diagnostic X-rays in space, expanding crew health capabilities and paving the way for mission-critical non-medical tasks. The study found that portable X-ray machines are feasible in space, with no significant differences in image quality between pre-flight and inflight images.
Recent studies published in The Journal of Nuclear Medicine have shown that combining multiparametric MRI with PET improves the detection of clinically significant prostate cancer. Additionally, PSMA PET/CT-guided biopsies have been found to detect more significant cancers than standard biopsies.
A second PSMA PET scan changed treatment plans for nearly half of patients whose first scan was negative, detecting evidence of disease in 56% of cases. The study found that repeat imaging was most likely to detect disease in patients with higher PSA levels and a PSA doubling time of less than twelve months.
Researchers at Texas A&M University have developed a technique that maps chemical changes directly, using natural molecular vibrations. This allows for the observation of biological processes in real-time, giving researchers a more complete picture of how diseases emerge and evolve.
Researchers created an optical hydration index that combines multiple inputs and measurements to track skin hydration state. The system uses near-infrared optical imaging and temperature-aware algorithm for robust at-home monitoring.
Researchers found minor cardiac dysfunction can predict microscopic tissue degradation in brain regions associated with Alzheimer's disease, leading to poor long-term memory performance.
The Journal of Nuclear Medicine (JNM) has increased its impact factor from 9.1 to 9.6, ranking eighth overall among medical imaging journals. The journal saw a nearly 10% increase in citations and improved performance in various categories.
Computer scientists have developed a new AI tool called RNAbpFlow that can map RNA structures with high accuracy, rivaling Google's AlphaFold 3. The method uses flow matching and can generate complete 3D structures from scratch, making it useful for drug discovery and targeting specific RNA folds.
The NHS Clinical Entrepreneur Programme has supported the creation of 691 businesses, generating 5,184 jobs and raising over £1.27 billion in investment. The programme continues to play a critical role in retaining talent within the NHS by enabling clinicians to develop their ventures alongside their clinical careers.
Researchers evaluated two somatostatin receptor PET tracers for breast cancer treatment, found SSTR-positive tumors in many estrogen receptor-positive cases. A new PET tracer showed promise for detecting Staph infections, while an interim PET scan may help track response to PSMA therapy in advanced prostate cancer.
Researchers have introduced laser reflective tomography to overcome the speed-resolution trade-off in NLOS imaging, achieving kilometer-scale high-resolution imaging without scanning mechanisms. This innovative approach combines single-point detection with multi-angle projection data for accurate scene reconstruction.
Mary Beth Farrell has been honored with the 2026 SNMMI-TS Lifetime Achievement Award for her decades-long dedication to elevating the nuclear medicine profession. Her leadership in accreditation, research, and education has shaped national standards and driven quality improvement initiatives that continue to impact patient care.
A new study suggests that functional brain imaging can help guide accelerated transcranial magnetic stimulation (TMS) for depression, leading to improved symptoms and response rates. The approach uses resting-state functional connectivity analysis to identify individualized treatment targets.
Researchers developed a method combining AI and mathematical models to accelerate MRI scans for breast cancer imaging, achieving improved tumor visibility and high diagnostic sensitivity. The ELITE method has the potential to improve not only MRI scans but also other imaging platforms.
Researchers have developed a polymer-based microring resonator array with over 40 elements, demonstrating broadband acoustic detection and fine spatial resolution. The system achieved strong correspondence with biological structures, including blood vessel regions, in imaging mouse prostate tissue.
Researchers developed a black phosphorus-based all-fiber photonic artificial intelligence diagnostic platform, achieving 246-fold energy efficiency gains. The system achieved 95.0% accuracy in retinal detachment detection and 97.6% specificity in hepatocellular carcinoma diagnosis.
A novel FAP-targeted radiopharmaceutical therapy approach has shown safety and effectiveness in treating various types of cancer, including breast, colorectal, gastric, and ovarian cancers. The treatment achieved objective responses in approximately two-thirds of patients and disease control in over 80%.
Research on targeted radioactive gold nanoparticles shows promise against aggressive brain tumors. Ultra-high-resolution PET scanners provide detailed views of mouse brains. New imaging tracers target key drivers of prostate cancer growth.
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) has announced the recipients of five Drs. Jane & Abass Alavi Mars Shot Research Awards, supporting studies on inflammatory bowel disease, artery inflammation, and other conditions.
Researchers at MIT developed an ultrasound system that creates a real-time 3D representation of the object being imaged, making it easier to identify and analyze. The AR-VIU technology can be deployed in hospitals for tasks such as placing needles during biopsies, reducing training time and increasing accuracy.
A study published in Radiology found that three commercially available AI-based computer-assisted detection (AI-CAD) systems can identify early mammographic signs of breast cancer up to 6 years before diagnosis. This could help radiologists spot potential future cancers and allow for earlier intervention.
Researchers used advanced MRI techniques to evaluate kidney blood flow, oxygen utilization, and inflammation in patients undergoing surgery for kidney tumors. The study found that MRI measurements could help predict both kidney function decline and the future development of chronic kidney disease.
FireANTs, an open-source algorithm, combines AI optimization and geometry to quickly match complex medical images. The new method can accomplish what took weeks in minutes, detecting subtle changes that signal disease or cognitive decline, making it practical for clinical practice.
A neural network-based machine learning model accelerates diffuse optical tomography by over a million-fold, enabling real-time diagnosis. The model accurately reproduces signals even for unseen parameter combinations, with each inference taking approximately 2 milliseconds.
Researchers created a detailed atlas of human brain-vessel morphology, revealing subtle changes linked to stroke prognosis and suggesting that small-vessel features may help explain worse recovery outcomes. The atlas, MARVAL, provides a standardized tool for measuring the vascular network in large populations.
The Journal of Nuclear Medicine has published several groundbreaking studies on targeted radiotherapy approaches for various types of cancer. Researchers have successfully identified tumors using fibroblast activation protein (FAP)-targeting compounds and explored the potential of PET/MRI scans in detecting endometriosis and recurrent ...
Researchers summarize recent developments in terahertz biophotonics, highlighting its potential for overcoming technical limitations in fields like skin cancer diagnosis, wound assessment, and drug discovery. The study provides a roadmap for future research to improve the field's practical applications.
A POSTECH research team developed a haptic device that can operate inside MRI scanners, enabling the measurement of brain activity during VR experiences. The study found that adding tactile feedback increased brain activation in areas responsible for motor control, attention, and cognitive processing.
A simple, seven-second X-ray scan can accurately detect the severity of pulmonary valve regurgitation in patients with repaired Tetralogy of Fallot. The test uses dynamic chest radiography and requires minimal radiation, offering a more accessible diagnostic option for those who cannot undergo traditional methods.
The SNMMI 2026 Annual Meeting showcased significant advancements in precision nuclear medicine, AI, theranostics, and molecular imaging. The meeting featured over 1,500 abstracts, a 25% increase from last year's meeting, and presented new educational sessions alongside networking opportunities.
Heather Jacene, MD, has been named president of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), with a focus on strengthening the organization and advancing nuclear medicine. She plans to create new opportunities for members to participate actively in SNMMI and conduct multidisciplinary collaborations.
A new PET imaging approach measures synaptic density in the spinal cord, allowing physicians to monitor disease progression and evaluate treatment effectiveness. This technique detects widespread reductions in synaptic connections across the brain and spinal cord in patients with multiple sclerosis.
Jason Lewis, PhD, FSNMMI, has been elected as SNMMI's vice president-elect. He aims to strengthen education, scientific exchange, and outreach efforts to integrate basic scientists into SNMMI programs. Lewis holds various academic and research positions.
A new end-to-end PET imaging approach for osteosarcoma distinguishes tumor tissue from normal tissue and assesses surgical margins in real-time. The platform enables precise tumor resection, reducing the risk of local recurrence and preserving maximum limb function.
Gary Ulaner, a renowned nuclear medicine expert, has been elected president-elect of the Society of Nuclear Medicine and Molecular Imaging (SNMMI). He aims to advance SNMMI's Mars Shot initiative, expand educational activities for professionals, and increase funding for training new radiochemistry and physics specialists.
Researchers have identified RET as a biomarker for neuroendocrine prostate cancer and developed a theranostic pair for PET imaging and radioligand therapy. The approach demonstrates high uptake in tumors and shows promise for treatment, offering an alternative to current PSMA-based imaging.
A new PET radiotracer, 18F-GP1 PET/CT, accurately detects deep vein thrombosis in the legs and reveals lung clot migration. The approach may support faster diagnosis and improve patient care by detecting disease early.
A newly developed portable point-of-care PET technology provides high-quality results for guiding biopsies, tumor ablations, and other interventional procedures. The bedside device offers real-time visual feedback, making it a cost-effective approach for hospitals to perform procedures in constrained clinical environments.
A new PET radiotracer can effectively image overactive adrenal glands, allowing for a non-invasive approach to diagnose primary aldosteronism. This could enable physicians to tailor treatment plans for patients with this condition.