Recent studies in The Journal of Nuclear Medicine have introduced new imaging techniques, including PET-based methods, to improve cancer diagnosis and treatment. Additionally, an open-source pipeline has been developed to automate tumor segmentation, and a new imaging approach has been shown to visualize therapeutic radionuclides.
Researchers developed a label-free platform combining microfluidic cell sorting with AI to enrich and identify rare CTCs. The integrated strategy uses inertial microfluidic enrichment and YOLOv8-based deep learning for bright-field image recognition, achieving 96.0% accuracy in distinguishing tumor cells.
Researchers at Kyushu University have developed a novel molecule that can produce fluorescence and serve as an MRI contrast agent, addressing limitations of current imaging techniques. The molecule, a water-soluble and metal-free compound, demonstrates improved imaging depth and reduced toxicity compared to existing agents.
Research finds accelerated brain aging in uninjured areas after stroke can predict language severity and treatment response. Brain aging patterns measured before treatment predicted improvements in language 6 months after therapy ended in patients who completed speech therapy and brain stimulation.
Recent studies published in The Journal of Nuclear Medicine have investigated new treatments for liver fibrosis, thyroid cancer, and prostate cancer, including the use of PET tracers and radioactive iodine therapy. These studies have shown promising results, including improved imaging and biochemical responses, and increased radiation ...
Researchers developed an AI model that uses routine chest CT scans to identify patients at risk of pneumonitis, a potentially life-threatening form of lung inflammation. The model, called CIPHER, achieved high predictive power and maintained strong performance despite differences in patient populations and imaging protocols.
A new study from Florida International University found that preschoolers with a higher body mass index (BMI) showed differences in brain regions involved in reward, taste, and hunger. The study suggests that the relationship between obesity risk and brain development may begin years earlier than previously thought.
A targeted quality improvement campaign by University of Cincinnati emergency medicine physicians safely reduced unnecessary head and cervical spine CT scans in low-risk trauma patients, saving patients $6.2 million in healthcare costs and avoiding significant radiation exposure. The campaign, which included continuing education sessio...
New research in nuclear medicine advances detection and treatment of clear cell renal cell carcinoma with high accuracy, while SSTR antagonists show potential for imaging and treatment of neuroendocrine tumors. Alternative beta-emitting radionuclides are also being explored for targeted radiopharmaceutical therapy.
A new radiotracer, 18F-FDG PET/CT, has been shown to be highly effective in detecting rare and aggressive kidney cancer, renal medullary carcinoma (RMC). The tracer identified lesions in 98% of RMC patients and led to a change in treatment plan for 21% of patients with active disease, highlighting its potential to improve patient care.
A large-scale study found that chronic stress triggers hidden inflammation in the heart, leading to structural changes and increased risk of heart attacks and stroke. Higher levels of inflammation were associated with socioeconomic disadvantage, psychological distress, and established risk factors like smoking and excess body fat.
Researchers developed targeted fecal qPCR models that showed moderate discrimination for colorectal and pancreatic cancer, offering a potential non-invasive approach for early detection and risk assessment. The study's findings suggest that fecal qPCR could provide complementary information without invasive sampling.
A machine learning system has been developed to identify cancer cells based on their light scattering patterns, achieving high accuracy even with cells having similar morphology. The system, which uses dark-field microscopy and machine learning algorithms, has shown promise in distinguishing between different types of cancer cells.
Researchers analyzed 2,826 brain MRI exams and found that individuals living in the most disadvantaged neighborhoods exhibited a higher brain age gap and lower total brain volume. This association was linked to increased risk of memory loss, cognitive problems, and dementia.
A study by the Medical University of Vienna shows that PSMA-PET/CT can detect 91% of clinically significant prostate cancers before biopsies, potentially preventing unnecessary procedures. The test's high detection rate and predictive value make it a promising diagnostic tool for suspected prostate cancer.
Several new nuclear medicine approaches are being developed and evaluated for their potential to improve cancer imaging and treatment. Researchers have made significant progress in targeting specific markers and molecules in cancer cells, including CD163, CEACAM5, and DLL3. These advancements offer promising avenues for developing more...
Researchers developed an automated method to convert standard eye scans into an objective cataract biomarker. The method, tested on 1906 eyes, demonstrated exceptional diagnostic discrimination and strong correlation with a standard cataract grading system.
A new review in Science Bulletin outlines how multimodal AI can integrate molecular, cellular, and clinical data to refine treatment choices and predict side effects. The approach aims to address challenges in cancer treatment, including primary resistance and immune-related adverse events.
A new study found that combining PET/MRI findings with EEG results and a structured presurgical evaluation improved the identification of seizure-causing brain tissue in pediatric epilepsy patients. 76 percent of patients who underwent surgery were free from seizures after two years of follow-up.
Babies born to anaemic mothers have smaller brain volumes, with differences detectable from 12 months old. The study found that anaemia affects brain development, particularly in regions involved in movement, learning, and communication.
A review led by UCLA investigators found that AI can identify subtle signs of breast cancers missed during routine mammograms, but its clinical benefit is uncertain. AI may also identify patterns associated with an increased risk of cancer before it becomes visible on a mammogram.
Researchers developed V-UNet, a novel model combining global and local information to address noise and redundant information in medical images. The model achieved competitive segmentation performance while maintaining low computational requirements, promising a more efficient and robust AI-assisted medical image analysis.
A new PET/MRI technique targeting fibroblast activation protein (FAP) overexpressed in endometriosis accurately maps the extent of the disease, enabling personalized management and improving patient outcomes. The approach was particularly effective in regions of the pelvis and abdomen that are typically difficult to image.
Researchers found that aerobic exercise alters regional brain activity patterns during cognitive tasks, while task repetition influences efficiency. In older adults, a positive correlation was observed between decline in brain activity and task performance, suggesting linked changes in task processing.
The new imaging system allows scientists to capture high-resolution fluorescence images in real time under normal room lighting, giving them a more complete picture of biological changes. SphynxVision can capture multiple images per second and reveal remarkably small details, such as tiny blood vessels and clusters of cancer cells.
Researchers developed a computational model to study aging in 40 types of human tissue, identifying three major aging patterns and underlying molecular changes. Tissues show bimodal structural aging, with accelerated aging from 35-40 and 55-60, coinciding with fertility decline and menopause.
Prostate cancer affects 1 in 8 men, with 60% diagnosed in men 65 and older. Clinical trials like Alliance's help improve early detection and treatment, reducing mortality rates by half since 1993. These trials also explore new treatments and survivorship strategies.
Researchers developed a dual-threshold approach for measuring tumor volume on PET/CT, showing higher total lesion volume associated with shorter overall survival and time to treatment failure. FAPI PET/CT improved detection of ovarian cancer spread, while CD8-targeted PET tracked immune response in lung cancer.
A study found that AI analysis of mammograms can identify features indicative of hypertension, ischaemic heart disease, and stroke in women. This could lead to early detection and prevention of cardiovascular diseases in midlife women who undergo routine breast cancer screening.
A new study from Northwestern University found that coronary calcium scans are most valuable for patients with borderline cardiovascular risk. The scans added relatively little to risk prediction from existing risk calculators, but provided a clearer picture for those at intermediate risk. The study suggests that not everyone needs a c...
A study finds that dementia with Lewy bodies preferentially affects certain brain regions, including those with genes linked to mitochondrial function and synapses. These regions show distinctive patterns of serotonin, dopamine, and GABA receptors, suggesting a potential target for new treatments.
The collaboration aims to advance molecular imaging research and develop new treatments for patients across the UK. Funded through charitable giving, the partnership brings together specialist radiopharmaceutical production and cutting-edge research, strengthening the UK's radiopharmaceutical research base.
USC researchers have developed custom, 3D-printed MRI sensors that provide clearer images of small organs in infants and children. The sensors, which can be customized to individual patients, are made in under 10 minutes and cost around $30.
A new study develops methods for clinicians to assess patient risk and builds an understanding of HFpEF's mechanisms, which could lead to new treatments. Researchers found potential mechanistic and molecular changes contributing to the condition.
PSMA PET/CT detected recurrent prostate cancer after minimally invasive treatments and identified malignant peripheral nerve sheath tumors with high accuracy. Researchers also found varying access to PSMA-targeted theranostics between Brazil and Europe.
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.
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 ...
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.
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.
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 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.
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.
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.
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 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 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 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 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.