Articles tagged with Medical Imaging
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.
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.
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.
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 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.
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.
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...
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.
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.
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.
A study by NTU Singapore researchers found that enlarged perivascular spaces, or 'clogged drains', in the brain are a likely early-warning sign of Alzheimer's disease. The condition can be visually identified on routine MRI scans, complementing existing methods to detect Alzheimer's earlier.
A new model called DAC enables medical image segmentation with limited labelled data, achieving consistent generalization across unseen domains. The approach uses feature-level supervision and asymmetric co-training to reduce errors, especially in low-contrast structures.
Researchers are presenting groundbreaking findings at the Association for Molecular Pathology's annual meeting, including a novel technique to study ancient DNA and rapid detection of serious fungal pathogens. The Association for Molecular Pathology is providing press materials and resources for media coverage.
A deep learning system developed by Incheon National University integrates images and clinical details to improve early skin cancer diagnosis. The model achieved 94.5% accuracy, outperforming popular image-only models.
Researchers have made significant advancements in detecting and treating prostate cancer and ALS using innovative imaging techniques. A new PET tracer has been developed to track Huntington disease protein aggregates, offering a potential noninvasive monitoring tool. Additionally, studies have compared two types of PET scans for spotti...
The new statistical method adapts to data structure, resisting outliers and providing greater stability on non-Euclidean spaces. This improves the reliability of analysis in areas like medical imaging, computer vision, and machine learning.
A new report from Northwestern University offers six practical strategies to improve the doctor-patient bedside encounter in an era dominated by AI. By employing these strategies, clinicians can strengthen patient-physician relationships, combat inequities, and reduce burnout, ultimately leading to better patient outcomes.
Researchers developed an AI model that outperforms radiologists in detecting hidden objects on chest scans, particularly for cases of foreign body aspiration. The model achieves high precision and recall rates, helping doctors diagnose complex conditions more reliably.
A new study found that routine coronary artery calcium CT scans can uncover other medical issues in patients, with 247 cases identified out of 2,284 patients who received the scan. These findings included lung abnormalities and issues with almost every organ tested.
Researchers developed a detailed kidney model to study radiation distribution, highlighting uneven exposure across different nephron types. Tumor volume changes and PSMA PET imaging also showed promise for predicting outcomes in prostate cancer patients. New targeted therapies and imaging strategies aim to improve diagnosis and treatment.
Scientists at the University of Birmingham have developed a new class of MRI contrast agents that are significantly more efficient and stable than current clinical agents. The novel metallo-coiled coil approach demonstrates a 30% increase in MRI relativity and unprecedented enhancement in chemical and biological stability.
The Politecnico di Milano has created an online application to select the most effective AI models for creating 3D images of individual organs or lesions. This tool makes treatment more accurate and reliable, saving professionals time and effort.
A new study may transform the diagnosis of Britain's number one cancer, lung cancer. Researchers are investigating whether low-dose CT scans can detect lung cancers earlier than current chest X-rays. The study aims to identify which patients would benefit from these more accurate scans.
Researchers have developed a new PET imaging agent that can distinguish true tumor response from inflammation during immune checkpoint inhibitor therapy. This breakthrough has the potential to improve early treatment assessment and patient outcomes.
A new approach to PET imaging can identify patients at risk of poor functional recovery after a heart attack by visualizing CXCR4, a cellular protein involved in inflammation. This technique enables timely implementation of treatments to mitigate inflammation and prevent heart failure progression.
Researchers are building an AI-powered database of MRI and CT images to track disease progression and measure patient response to treatments. The database will provide a standardized toolkit for extracting precise imaging biomarkers, enhancing the accuracy of organ measurements and improving treatment choices.
Post-traumatic vasospasm (PTV) is a sudden narrowing of brain arteries that can lead to stroke and long-term neurological damage. Early diagnosis using tools like transcranial Doppler ultrasound and S100 protein blood tests is crucial to prevent secondary brain injury.
Recent studies published in The Journal of Nuclear Medicine explore the use of artificial intelligence to improve PSMA PET/CT scan interpretation, as well as its impact on treatment decisions for patients with recurrent prostate cancer. Brain metabolic changes and fibroblast activation protein (FAP) PET imaging also reveal new insights...
The new Molecular Imaging and Theranostics Centre at NUH and NUS Medicine enables faster, safer and more precise diagnoses, while researchers can observe real-time tracer movement throughout the body. This opens possibilities for validating next-generation diagnostics and therapies, advancing theranostics.
Researchers developed a high-speed whole-body SPECT method to track tumor evolution and personalize prostate cancer treatment. The new approach enabled faster monitoring, allowing for earlier adjustments to treatment plans and improved patient outcomes.
MetaSeg achieves the same segmentation performance as U-Nets but requires 90% fewer parameters, making medical image segmentation more cost-effective. The new approach leverages implicit neural representations to quickly adjust to new images and decode accurate labels.
Studies have found that men with advanced prostate cancer can benefit from continuing PSMA therapy despite early PSA rise, while a new PET/CT scan may improve surgery decisions in pancreatic cancer. Molecular imaging advancements also hold promise for distinguishing aggressive kidney cancers and guiding treatment decisions.
Researchers at the University of Arizona are developing a new optical technology that can image deep into biological tissues without invasive procedures. This approach aims to overcome current challenges in skin cancer imaging, allowing for earlier detection, precise evaluation, and real-time monitoring of treatment response.
MIT researchers develop a new type of fluorescent molecule that can emit and absorb light in the red to near-infrared range, potentially enabling clearer images of tumors. The stabilized borenium ions have high quantum yields, making them suitable for biomedical imaging applications.
Recent studies published in The Journal of Nuclear Medicine have made significant breakthroughs in prostate cancer treatment, with multiple therapies showing promise. Researchers have also discovered ways to reduce radiation exposure in PET scans and tracked the effects of alpha therapy on patients.
Researchers have developed promising therapies for advanced prostate cancer, improved brain imaging capabilities, and enhanced liver cancer detection. A new alpha therapy shows promise in treating thyroid cancer, while AI-assisted tracking systems enhance prognosis prediction in prostate cancer imaging.
A large-scale randomized trial will examine whether AI supports radiologists in interpreting mammograms more accurately, reducing unnecessary callbacks and anxiety. The PRISM Trial, led by UCLA, aims to inform future policy decisions and best practices in breast cancer screening.
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 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.
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.