Articles tagged with Magnetic Resonance Imaging
A study by Osaka Metropolitan University found that ChatGPT's diagnostic performance for brain tumors was comparable to that of neuroradiologists, with an accuracy rate of 73%. The model's performance varied depending on the type of clinical report written, with higher accuracy when using reports from neuroradiologist writers.
Researchers at TU Graz have developed a new machine learning method that generates precise live MRI images of the beating heart using only a few MRI measurement data. This breakthrough enables faster and cheaper MRI applications, including quantitative MRI for diagnoses.
A new hand-held scanner can generate highly detailed 3D images in seconds, paving the way for earlier disease diagnosis. The technology uses laser-generated ultrasound waves to visualize subtle changes in blood vessels, helping inform patient care and diagnose conditions like cancer and cardiovascular disease.
A new study by Sylvester Comprehensive Cancer Center researchers shows that daily MRI imaging paired with radiation can monitor tumor changes in real-time. The technology has the potential to signal early warning signs of tumor growth, allowing for faster and more targeted treatment adaptations.
UCLA investigators presented data on chemoradiotherapy in rectal cancer, MRI-guided radiotherapy for prostate cancer, and symptom self-reporting during treatment. Researchers developed a predictive model to identify patients most likely to respond to chemoradiotherapy in rectal cancer.
Researchers have developed a new NMR platform using chemical exchange saturation transfer (CEST) MRI to visualize metabolite dynamics in living plants. This breakthrough enables noninvasive monitoring of sugar and amino acid distribution, improving crop improvement through breeding research.
A new study reveals how psilocybin alters brain connectivity to alleviate symptoms of body dysmorphic disorder, potentially aiding treatment. Psilocybin strengthens neural connections between executive functions and emotionally salient stimuli, leading to improved BDD symptoms.
A new study by the University of Minnesota found that developers of portable magnetic resonance imaging (MRI) systems failed to address ethical, legal and social issues as they designed and deployed the technology. The authors recommend that researchers, engineers and companies work with ethics and legal experts to formulate guidelines.
Researchers have successfully visualized and tracked specific cells in deep brain tissue, including along the corpus callosum's nerve fibre highway. This advancement could potentially lead to better diagnostic tools for glioblastoma, a deadly brain cancer.
The study compares nerve fiber orientation captured with specialized MRI and OCT approaches, laying groundwork for combining these imaging techniques. The findings show strong potential for PS-OCT to validate dMRI data, providing valuable insights about the microstructural organization of nerve fibers.
A new study reveals a significant correlation between entorhinal cortex thickness and financial exploitation vulnerability, a potential early indicator of Alzheimer's disease. The research suggests that assessing financial awareness could help identify cognitive changes in older adults.
Researchers at Boston University created an AI tool that can determine the cause of dementia using commonly collected patient data, boosting doctor accuracy by 26%. The algorithm identifies 10 types of dementia, including vascular and frontotemporal dementia, to help doctors manage patients more effectively.
Researchers at Boston University have developed low-cost, high-impact metamaterials solutions to improve MRI technology, enabling clearer imaging in low-resource areas. Wearable and deployable devices can be tailored to specific body parts, boosting signal-to-noise ratio and reducing scanning time.
A new study published in the Stroke journal found that people with brain aneurysms are at higher risk of developing mental health conditions, including anxiety. The study, which analyzed data from over 85,000 people, found that younger adults were particularly vulnerable to this increased risk.
A study of over 900 children with autism spectrum disorder found that brain overgrowth is associated with increased social and communication symptoms. The research used MRI brain images and mini-brain experiments to show that enlarged brains are linked to altered Ndel1 enzyme activity, potentially affecting brain development.
A new heart MRI technique accurately estimates pressures inside the heart to predict heart failure risk in a general population. Key risk factors identified include age over 70, high blood pressure, obesity, alcohol consumption, and male gender.
A new $3.5 million NIH grant will investigate the complex interplay between traumatic brain injury and genetic risk factors in the development of Alzheimer's disease. The three-year study will use rodents to assess disease progression across different age periods, providing insights into potential early intervention strategies.
A new study suggests that MRI scans can help doctors identify patients with more aggressive prostate cancer, allowing for earlier treatment or active surveillance. The research found that suspicious lesions on an MRI test were associated with a higher risk of advanced disease in five years.
A new deep learning model detects clinically significant prostate cancer on MRI with performance comparable to experienced abdominal radiologists. The model's prediction can be used as an adjunct to improve diagnostic performance and reduce false positives.
Researchers have developed an AI-based system that can predict the risk of prostate cancer more accurately than traditional methods. The new tool combines MRI images and deep learning to identify low-risk patients who may not need a biopsy, potentially sparing them from unnecessary procedures and reducing complications.
A new hybrid contrast agent has been developed to combine the benefits of MRI and PET imaging techniques, offering improved accuracy and opening new diagnostic applications. The agent has shown potential in detecting kidney problems and other conditions, paving the way for personalized diagnostics and precise imaging.
A clinical trial found that fish oil supplements slowed neuronal integrity breakdown in older adults with the APOE4 gene variant, a risk factor for Alzheimer's disease. The study showed no benefit for all older adults, but suggested omega-3 fatty acids may be useful for prevention.
A novel study finds that monitoring cortical microstructural change in the brain using diffusion weighted MRI scans may help identify individuals at risk for cognitive decline and Alzheimer's disease. Tracking these changes over time could provide precious time for disease-modifying treatments.
α-Synuclein pathology in asymptomatic stages is linked to NBM atrophy, leading to attention/executive impairment. MRI signatures can detect this pathology in memory clinic populations.
A machine learning algorithm was trained to predict individuals with functional neurological disorder (FND) by analyzing their brain structure. The algorithm achieved significant above-chance accuracy in classifying FND participants against healthy controls and psychiatric samples, highlighting the importance of considering both brain ...
The study establishes criteria for identifying extranodal extension on imaging, allowing radiologists to make accurate calls and provide patients with less invasive treatments. This shift towards practice change has the potential to reduce side effects and improve outcomes for patients with HPV-associated head and neck cancers.
Researchers found that out-of-pocket costs for additional tests, including MRI and biopsies, are common and increasing among privately insured men with high PSA results. The median cost rose substantially between 2010-2020, deterring patients from undergoing recommended screening.
Researchers used low-intensity ultrasound to target and alter the default mode network of the brain, reducing connectivity and enhancing mindfulness. The technique, called transcranial-focused ultrasound (TFUS), can induce meaningful effects with just five minutes of stimulation.
Researchers developed an AI model to analyze heart MRI scans, which can save NHS time and resources. The model provides a complete analysis of the entire heart using a view that shows all four chambers, leading to faster and more accurate diagnosis of heart failure and other cardiac conditions.
Researchers from Aarhus University have developed a method that can detect the earliest changes in the kidney when scar tissue begins to form. This technology uses hyperpolarized 13C-pyruvate MRI to track fibrosis formation, allowing doctors to start treatment earlier and potentially prevent damage.
Researchers from INRAE have developed a training protocol to enable lambs to undergo MRI acquisitions while awake and unrestrained. The successful protocol has already yielded comparable brain images to those obtained from anaesthetised sheep, opening up new avenues for studying animal brain function.
A phase 2 study found fluorine-18 PSMA-1007 PET/computed tomography to be superior to multiparametric MRI for locoregional staging of prostate cancer. The technology supports its use in the preoperative workflow for intermediate-risk and high-risk tumors.
A new liquid biopsy method analyzes gene fragments in the bloodstream to detect and track cancer, enabling oncologists to tailor treatment approaches to individual patients. This non-invasive test can help monitor treatment success, detect cancer recurrence, and improve patient quality of life.
Researchers found individuals with schizophrenia struggle to discriminate between reward levels, leading to apathy and motivation deficits. The study suggests potential treatments, including brain stimulation and targeted psychotherapy.
Researchers explore the feasibility of deep learning models in segmenting lesions on PET/CT images to improve salvage radiation therapy planning for prostate cancer. The study demonstrates promising potential to reduce inter- and intra-observer variations, leading to more accurate treatment outcomes.
The policy statement offers guidelines for institutions and medical professionals to weigh benefits and risks of imaging in emergency departments. It includes recommendations for deferring imaging in children transferred to pediatric referral centers and using shared decision-making strategies when multiple reasonable choices exist. Th...
A longitudinal study has found that tissue bridges in the spinal cord are associated with short- and long-term clinical improvements in patients with cervical spine injuries. The study's models, developed by a team of experts, incorporate tissue bridges for improved prognosis and can be transferred to other patient cohorts.
A study published in Radiology found that brain connectivity on MRI scans can predict the progression of brain atrophy in patients with mild Parkinson's disease. The researchers used MRI data to generate a map of the brain's neural connections, which showed potential in predicting gray matter atrophy accumulation over time.
Researchers from University of Hong Kong developed a whole-body MRI scanner operating on standard wall power outlet without shielding cages, addressing MRI accessibility challenges. The machine achieved clear imaging at ultra-low field strength of 0.05 Tesla with improved image quality and reduced scan time.
A new method in neuroimaging analysis allows researchers to predict cognition and behavioral variables using smaller datasets, contrary to the long-held belief that thousands of participants are needed. The technique involves examining MRI data to find associations with behaviors and then applying predictions to an independent sample.
Researchers at USC Dornsife College of Letters, Arts and Sciences found that brains display unique neural activity when experiencing bittersweetness, a common yet understudied phenomenon. They discovered that mixed emotions hold steady over time, unlike ping-ponging between negative and positive feelings.
A study found that neural balance, measured by the E/I ratio, is associated with brain maturity and better cognitive ability. Research suggests that as children develop, their E/I ratios decrease, leading to improved performance in cognitive tests.
A recent study published in The Lancet Oncology found that an AI system can detect prostate cancer nearly seven percent more significantly than a group of radiologists using MRI scans. Additionally, the AI identifies suspicious areas less often, potentially reducing unnecessary biopsies by half.
Researchers developed metamaterials-enhanced MRI technology using coaxial cables to boost signal-to-noise ratio. The innovative coils address patient discomfort and cost by providing adaptable, form-fitting designs for various anatomical sites.
A new AI model has been shown to significantly improve the accuracy of diagnosing prostate cancer by 45 times compared to doctors' measurements alone. The system assists in mapping out the boundaries of cancerous tissue, reducing the risk of underestimation and enabling more precise treatment planning and effective surgical procedures.
A study by Linköping University researchers found that disturbed blood flow can cause inflammation and breakdown of the vessel wall in cases of aortic dilation. This discovery could lead to better diagnosis and treatment options for patients at risk of serious complications.
Researchers have developed a highly sensitive diamond quantum magnetometer that can achieve practical ambient condition magnetoencephalography. The novel magnetometer uses a single crystalline diamond to detect magnetic fields, achieving record sensitivities of up to 9.4 pT Hz-1/2 in the frequency range of 5 to 100 Hz.
A cost-effectiveness analysis found that first-line MRI-based screening for prostate cancer is less effective and more costly than first-line PSA testing. Despite free MRI costs, the first-line approach resulted in increased false positives and overdiagnosis without substantial reductions in mortality.
A self-powered sensor using triboelectric nanogenerator technology can detect movement during MRI scans, shutting them down in real time to produce clearer images. This innovation aims to improve the efficiency and reduce frustration for patients and technicians.
A recent study demonstrates that radiomics can effectively forecast the hearing status of patients with vestibular schwannoma. The research team isolated specific radiomics features from MRI images that best predict hearing status, offering an objective method to predict patient outcomes.
A study led by the University of Turku has identified the brain network responsible for stuttering, which may lead to effective treatments. The research found that stuttering is associated with structural changes in a specific brain network involving the putamen, amygdala, and claustrum.
The detection and management of borderline hepatic nodules, particularly those hypointense in the HBP without APHE, are critical in preventing overt hepatocellular carcinoma progression. Advances in imaging technologies have improved detection and characterization of these nodules, leading to better patient prognosis.
The study evaluated a breast cancer pre-screening solution using a smartphone-based thermal imaging sensor and AI, achieving high sensitivity and specificity. The tool helped detect breast cancers earlier, particularly in settings where mammography is not available or accessible.
Researchers from Tokyo Institute of Technology experimentally revealed that high-density Ca introduction enhances superconductivity in graphene-calcium compounds through confinement epitaxy, leading to increased critical temperatures. This breakthrough could enable the development of C6CaC6 superconductors with wide applicability in qu...
Researchers found that longer sprint interval training protocols, such as SIE20, outperform shorter protocols like SIE10 in increasing peripheral oxidative metabolism. This study's findings suggest that less-than-15-minute exercise regimens can provide significant health benefits.
A new study has improved the detection of heart failure in women, allowing for earlier diagnosis and potentially life-saving treatment. The research used magnetic resonance imaging to fine-tune how pressures inside the heart are measured, increasing accuracy by 16.5% for female patients.
A new study using AI technology analyzed MRI scans from 471 men and 560 women, revealing differences in brain organization at a cellular level. The findings highlight the need for diversity in neurological research and may offer new insights into how psychiatric and neurological disorders develop differently in men and women.
A new sensor developed at the University of Copenhagen and Hvidovre Hospital can detect errors in MRI scans using laser light and gas, paving the way for better, cheaper, and faster scans. The sensor works by measuring changes in the magnetic field, allowing for corrections to be made and images to be made accurate.
The USPSTF updates its breast cancer screening recommendation to biennial mammography for women ages 40-74. However, the balance of benefits and harms is unclear for women over 75 or those with dense breasts. Breast cancer is a common cause of death among US women.
A new study suggests that stimulating specific areas of the brain can affect heart rate in individuals with depressive disorders. The researchers found high accuracy in identifying optimal treatment spots using heart rate measurements during brain stimulation.