Articles tagged with Medical Imaging
Dr. David H. Ballard, MD, has been awarded a $100,000 grant from the SNMMI Mars Shot Research Fund to develop novel PET/MR imaging techniques for metabolic activity and inflammation in Crohn's disease. The study aims to improve biologically informed decision-making and guide treatment decisions.
Researchers Ansel Hillmer and Eric Webb have received the $100,000 Drs. Jane & Abass Alavi Mars Shot Research Award to advance imaging research in infection and inflammation for Alzheimer's disease. They aim to develop a PET radiotracer targeting CSF1R to diagnose and monitor brain inflammation.
Dr. Carolyn J. Anderson has been awarded a $100,000 grant from the SNMMI Mars Shot Research Fund to develop a PET radiotracer for imaging vaso-occlusive crisis in sickle cell disease. The award will support the production and validation of an easy-to-produce and high-yielding PET radiotracer, 18F-LLP2A, for rapid translation to patients.
A specialized AI model, AMIR-GPT, has been developed to improve radiology guideline alignment, outperforming general purpose models in 33.3% of test responses. However, the model's performance varied across performance bands, and qualitative review revealed limitations, such as omissions and deviations from standard recommendations.
A Chinese study reports a 100% technical and clinical success rate for robot-assisted brain angiography, with median procedure times 11 minutes shorter than manual angiography. No added radiation or complications were observed, showcasing the feasibility and safety of the YDHB-NS01 system
A new imaging test, PSMA PET/CT scan, has been shown to safely reduce the number of biopsies needed for suspected prostate cancer, with no harm to patients. The PRIMARY2 trial found that the scan could identify low-risk patients who did not need a biopsy, while targeting suspicious areas for those who did.
Researchers optimize interferometric diffusing wave spectroscopy technique to boost weak optical field returning from the brain, achieving over 20x signal to noise ratio. The novel approach provides higher brain sensitivity compared to DCS-inspired approaches and is approximately two orders of magnitude less expensive.
A Chinese Neurosurgical Journal study developed a radiomics-based machine learning model to identify high-risk patients with traumatic brain injury who require emergency decompressive surgery. The model accurately distinguished patients who later required secondary surgery, suggesting its potential to complement clinical judgment.
Generative AI in medical imaging enables data synthesis, image enhancement, and modality translation to improve diagnosis and treatment outcomes. The review discusses challenges and future prospects, including convergence with large-scale foundation models and multimodal information for holistic understanding.
Researchers have developed new imaging techniques to detect hidden infections, inflammatory diseases, and cancers, while also evaluating the effectiveness of AI-powered tumor measurement and targeted radiotherapy for advanced solid tumors.
A new AI-powered tool, Merlin, has been developed to assess 3D abdominal CT scans, identifying anatomical features and predicting disease onset years in advance. The tool surpassed traditional automated tools in tasks such as diagnosing diseases and predicting patient outcomes, with accuracy rates of up to 81%.
Researchers developed a bioorthogonal fluorescence probe and matching reporter enzyme that selectively activates at targeted tumor sites, enabling high-contrast tumor visualization with minimal background. This technology has potential for improving cancer surgery outcomes and may also be adapted for targeted drug delivery.
Researchers have developed a new PSMA-targeted PET tracer that shows promise in early human studies, providing strong tumor uptake and favorable radiation dosimetry. Additionally, advanced dynamic PET imaging has been used to track heart amyloid buildup more precisely, detecting significant reductions after six months of tafamidis ther...
A new targeted PET/CT tracer can detect treatment response in rheumatoid arthritis patients as little as four weeks after treatment initiation. The imaging technique uses macrophages, a type of white blood cell, as a biomarker for disease activity, potentially allowing non-responders to pursue more effective therapies.
A novel quantitative imaging approach using PET and MRI can identify limbic-predominant age-related TDP-43 encephalopathy (LATE), a distinct neurodegenerative disorder resembling Alzheimer's disease. This framework may guide targeted diagnostic work-up and personalized care for dementia patients.
Researchers developed an AI method to predict mastoidectomy shape before surgery, enabling better navigation and visualization for surgeons. The approach achieved a high Dice score of 0.72 compared to popular medical imaging models.
Researchers found that implanted cuff electrodes can trigger unintended nerve stimulation during MRI, causing discomfort or pain. The study recommends more refined guidelines and careful safety considerations to mitigate this risk.
Researchers have made significant advancements in nuclear medicine by developing a new reporting framework for PET/CT scans, using targeted radiation therapy to treat sarcoma, and investigating how genetic mutations affect prostate cancer treatment outcomes. These studies aim to improve diagnosis and treatment for various cancers.
Women with stage IV breast cancer detected through screening have a 60% chance of survival ten years after diagnosis, compared to under 20% without screening. Screening may not be too late to treat successfully, even at the most serious stage of the disease.
Researchers have developed a lightweight antenna that improves signal strength and image sharpness in MRI scans, particularly for deep or delicate tissues like the eye and brain. The technology has the potential to transform diagnostics by reducing scan times and increasing accuracy.
Researchers developed a new method for extracting spectral information from OCT images and combining it with AI to identify lipid-rich plaques. The approach shows strong classification performance and can highlight suspicious regions throughout the image.
A new study uses advanced MRI to accurately diagnose progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD), two underdiagnosed conditions. This breakthrough enables precise clinical trials and transforms treatment options for patients with balance problems, falls, stiffness, or difficulties with speech and movement.
Researchers are testing new targeted radiation approaches for early colorectal cancer, HER2-positive breast cancer, and advanced prostate cancer. Imaging tools track treatment movement and help evaluate dosing and safety.
Researchers discovered functional gradients in elephant and cat whiskers, allowing for precise touch sensing. The stiff-to-soft transition enables elephants to navigate their environment with ease, including picking up delicate objects.
Ken Herrmann will lead the journal for five years, focusing on global engagement and impact. He succeeds Johannes Czernin, who guided JNM through significant growth and expansion.
A new AI-powered model can read a brain MRI and diagnose neurological conditions with up to 97.5% accuracy, predicting treatment urgency and automating alerts for immediate medical attention. The technology has the potential to transform neuroimaging at health systems across the US, reducing workload and improving patient outcomes.
Researchers used advanced PET imaging techniques to study the effects of traumatic spinal cord injuries on nerve cells. Additionally, whole-body PET scans were used to map brain-body immune cross-talk during immune responses.
A new regenerator material composed solely of copper, iron, and aluminum can achieve cryogenic temperatures without using rare-earth metals or liquid helium. The material utilizes a special property called frustration found in magnetic materials to demonstrate practical-level performance.
A study published in Radiology found that photon-counting CT reduced radiation exposure by 66.34% and improved image quality compared to conventional CT in lung cancer patients. The technology also showed fewer adverse reactions, including contrast-induced acute kidney injury.
A study found that prenatal alcohol exposure changed aspects of the dopamine system in rhesus monkeys, influencing how quickly they drank alcohol in adulthood. The researchers also discovered individualized neuroadaptive responses to drinking, which may promote the transition to alcohol use disorder.
Researchers have developed new CXCR4-targeting radiolabeled peptides for cancer imaging and therapy, producing clear tumor images and extending survival in preclinical testing studies. Additionally, PET scans are being used to predict prostate cancer outcomes, identify primary aldosteronism, and guide treatment decisions.
Researchers have developed a non-invasive method to estimate blood oxygen levels in heart failure patients using standard cardiac MRI. This breakthrough could spare thousands from undergoing risky tube procedures, allowing for safer and more frequent monitoring.
Researchers developed a novel combined PET imaging approach to personalize radiotherapy for head and neck cancers, creating biologic maps that show tumor characteristics. This strategy led to greater than 90% predicted tumor control probability, outperforming previous literature.
Researchers used MRI analysis to measure glymphatic system activity, finding changes related to IIH stage and pressure levels. The findings suggest a noninvasive test could diagnose IIH more reliably, improving treatment options for patients with symptoms including headaches and vision loss.
This study introduces a new FAP-targeting peptide that shows strong tumor uptake and effective tumor growth inhibition when paired with lutetium-177. Additionally, researchers have identified distinct metabolic and structural brain patterns that differentiate probable LATE, Alzheimer disease, and their frequent overlap.
Scientists have developed a new technique that combines rotational ultrasound tomography (RUST) with photoacoustic tomography (PAT) to create 3D color images of soft tissues and blood vessel function. This method has the potential to enhance breast tumor imaging, monitor nerve damage caused by diabetes, and brain imaging.
Research reveals structural brain changes in older adults affect ability to shift between tasks and update environmental information. These changes may lead to deficits in behavioral adaptability, emphasizing the importance of identifying age-related brain structure changes.
Recent studies published in The Journal of Nuclear Medicine explore the use of interim PET scans to predict treatment response and survival in patients with large B-cell lymphoma. Additionally, a phase 2 trial evaluates the safety and effectiveness of a radiopharmaceutical targeting prostate-specific membrane antigen (PSMA) in advanced...
A newly developed radiopharmaceutical pair can precisely detect and effectively treat gastric and pancreatic tumors, completely eradicating tumors in preclinical models. Claudin-18.2-based theranostics could meaningfully change patient care by enabling non-invasive tumor identification and targeted radiation therapy.
Researchers developed new imaging approaches using specialized amino acid PET tracers to visualize aggressive breast, lung, and glioma cancers. The studies showed promising results, highlighting the potential of these tools for future cancer imaging and guiding targeted therapies.
A team at Graz University of Technology found that espresso is a favourable and environmentally friendly substitute for uranyl acetate, which is highly toxic and radioactive. The results showed equally good quality images under the microscope with coffee staining.
Researchers have developed new PET imaging tracers to detect and treat colorectal, thyroid, and lymphoma cancers. The tracers enable targeted radiation delivery, personalized dosing, and improved detection of inflammation in large blood vessels and liver lesions.
Researchers developed a new compact Raman imaging system that can differentiate between tumor and normal tissue, offering a promising route to earlier cancer detection. The system uses special SERS nanoparticles to detect faint signals from tumor markers, highlighting spots likely to contain tumor tissue.
Researchers will use revolutionary technology to transform understanding of extreme environments, revealing how black holes behave and evolve. The project aims to deliver dynamic gravitational tomography, creating 3D movies showing plasma flows around black holes.
Researchers at Virginia Tech have developed a new method for attaching fluorine-18 to trifluoromethyl groups, enabling the tagging of previously inaccessible targets in PET scans. This breakthrough expands the range of molecules that can be imaged, potentially leading to earlier diagnoses and more targeted treatments for diseases.
Recent studies explored novel biomarkers for kidney cancer spread detection, heart scans for ATTR amyloidosis diagnosis, and radiation therapy delivery for neuroendocrine tumors. Additionally, researchers developed a new PET tracer to track heart-healing cells after a heart attack.
Researchers developed multimodal models integrating imaging, clinical, and molecular data from TAILORx tissue biorepository for early-stage breast cancer. The models demonstrated enhanced prognostic performance compared to existing methods, highlighting their potential for personalized treatment decision-making.
Recent studies explore new PET/CT imaging methods for prostate cancer staging and detection. Researchers assess improved performance of these advanced scans in detecting lymph node or bone spread, as well as their impact on treatment plans. Additionally, researchers examine the effectiveness of peptide receptor radionuclide therapy (PR...
Researchers at NYU Tandon have developed a new algorithm that dramatically speeds up the reconstruction of microwave images, allowing for real-time diagnostic capabilities. This breakthrough could enable portable tools for stroke detection and breast cancer screening in low-resource settings.
Scientists have successfully used fullerenes as polarizing agents to improve MRI imaging capabilities, enabling clearer images with greater sensitivity. This breakthrough technique could lead to enhanced diagnostic capabilities and faster detection of diseases, potentially revolutionizing medical imaging.
A new study found that breast density notifications can lead to increased levels of confusion and anxiousness among women, contradicting the intended goal of empowering them. Women with denser breast tissue may require additional screening methods, which can result in higher out-of-pocket costs.
The EBRAINS Summit 2025 will bring together experts to assess how neuroscience can drive medical progress, digital innovation, and responsible data use. Preliminary results from the EPINOV clinical trial, integrating virtual brain technology for epilepsy surgery planning, will be presented.
A study of seven outpatient facilities found that 20-24% of all breast cancers diagnosed between 2014 and 2024 were in women aged 18-49. Invasive cancer cases accounted for 80.7%, often with aggressive types, challenging age-based screening cutoffs.
The study found significant differences in injury patterns between men and women, with men experiencing more ACL tears and women more frequent meniscal and MCL tears. These findings can help radiologists tailor imaging protocols and risk assessments to optimize patient outcomes.
A new study found that hospitals with early ultrasound protocols detected 40% of major fetal anomalies before 16 weeks of pregnancy, compared to 28% in hospitals without such protocols. This suggests that systematic first trimester screening could improve the timeliness of anomaly detection across the population.
Researchers used MRI 3D mapping to analyze changes in gluteus maximus shape over time and its association with type 2 diabetes. The study found that men showed muscle shrinkage, while women showed enlarged muscle, highlighting sex-specific differences in response to insulin tolerance.
The new system can reveal early cancers, lung disease, hidden material defects and changes in porosity without multiple exposures or complex mechanical movement. This method produces low-dose and faster images, lowering patients' radiation dose and making clinical translation feasible.
A study at Technical University of Munich found that AI-simplified CT reports reduced reading time to two minutes and improved patient comprehension. Patients rated the simplified texts as more helpful and informative, with 82% finding them easier to read and understand.
Several studies examine imaging tools for detecting prostate cancer, testing new PET tracers for spotting aggressive tumors. Researchers also explored a new scan to detect gastrointestinal stromal tumors and improved imaging agents for pancreatic cancer diagnosis.
Researchers at MIT used CT scans to study 5,000-year-old slag waste from an ancient site in Iran, revealing fine details about structures within the pieces. The technique complements traditional methods of studying ancient artifacts, shedding light on materials used and technological sophistication of early metallurgists.