Articles tagged with Magnetic Resonance Imaging
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.
Researchers discovered diamond dust's signal-enhancing properties, outperforming gadolinium. Diamond nanoparticles stay in blood vessels and shine brightly in MRI, without leaking into healthy tissue.
Radiologists are proposing actions to reduce their department's greenhouse gas emissions and become more resilient to the effects of climate change. They suggest implementing a coordinated approach, establishing sustainability teams, and optimizing scanner usage to reduce emissions by up to 33% for MRI and CT scans.
Researchers from SGH and NNI found side-to-side differences in the corticoreticular pathway of patients with AIS, which may lead to better diagnosis and treatment options. The study's findings suggest that scoliosis is fundamentally related to brain and spinal cord interactions.
A new AI-based video biomarker is associated with aortic stenosis development and progression, allowing for opportunistic risk stratification across various imaging modalities. The study's findings suggest potential applications on handheld devices for early detection and intervention.
In a preliminary report from an ongoing clinical trial, prostate cancer screenings using PSA, Kallikrein Panel, and MRI detected higher rates of cancer compared to no screening. The study found one additional high-grade cancer per 196 men and one low-grade cancer per 909 men were detected in the screened group.
Integrating magnetic resonance imaging (MRI) in prostate cancer screening pathways is associated with reduced unnecessary biopsies and overdiagnosis. MRI maintains clinically significant prostate cancer detection, reducing harm from overtreatment.
Researchers found that doctors can confidently skip 50% of biopsies by combining MRI-based prostate imaging reporting and data system scores with prostate-specific antigen density testing. The study suggests that this approach can decrease patient harm and healthcare costs associated with unnecessary biopsies.
Researchers discovered changes to blood vessels in the brain that can increase stroke and dementia risk are common in people with heart conditions. The study confirms heart disease as a main cause of these changes, highlighting the importance of imaging tests to guide safer treatment choices.
A study published in International Journal of Cancer found that men with advanced degrees and higher incomes are more likely to receive comprehensive care for prostate cancer, including MRI scans and curative treatment. This leads to lower mortality rates from the disease compared to those with lower education and income.
A team of researchers has developed the world's first 3D-printed brain phantom, which can be imaged using dMRI. The brain model is made up of microchannels that mimic nerve cells in the brain, allowing for more accurate analysis and research into neurodegenerative diseases.
Researchers developed a custom-built, low-cost mesoscope that can adapt to different neuroimaging experiments in live mice and rats. The system offers excellent spatial and temporal resolutions, achieved through its reversible tandem lens configuration, which enables flexible experimentation.
A study published by the University of Florida suggests a connection between elevated amyloid blood levels and subtle brain microstructural changes in individuals without dementia. Researchers used diffusion MRI to detect free-water in the brain, revealing associations with structural abnormalities even when PET scans were negative.
Researchers used MRI to investigate the effects of Phytophthora cactorum on strawberry plants, discovering elevated relaxation times and visible pathogen presence. The study suggests MRI can monitor plant health, investigate disease progression, and inform strategies for preventing plant diseases.
A UC Riverside-led study found that moderately anxious children from minoritized groups are hypervigilant to threats, exacerbating their general state of anxiety. The study used MRI scanners and involved preadolescent Latina girls from low-income families.
A new vest can map electric impulses of the heart in fine detail, detecting abnormalities from a potentially fatal heart disease much earlier. The study found that the vest identified electrical changes among 1 in 4 individuals with a gene mutation for whom no signs of disease were detected via standard tests.
A recent study conducted at the University of Zurich found that live performances stimulate a stronger emotional response in the brain compared to listening to recorded music. The researchers used magnetic resonance imaging to measure brain activity during both live and recorded music sessions, revealing a significant difference in amy...
A study co-led by Prof. Kelly Metcalfe finds risk-reducing mastectomies significantly reduce breast cancer risk and death probability in women with a BRCA1 or BRCA2 genetic variant. The procedure reduces the risk of breast cancer by 80% and decreases mortality to less than 1%.
Researchers found GV1001 decreases BACE and Aβ1-42 levels, reducing neurodegeneration and senescence in 3xTg-AD mice. It also increases survival, telomere length, and telomerase activity, contributing to improved lifespan.
Researchers have developed magnet-guided microrobots that can target and treat liver tumors using an MRI device. The robots are guided by a magnetic field and use gravity to navigate to the tumor, preserving healthy cells.
A novel imaging technique, low-dose positron emission mammography (PEM), shows promise in transforming breast cancer detection by providing high sensitivity and low false positive rates. PEM could potentially decrease healthcare costs and reduce unnecessary procedures for patients with dense breasts.
A machine-learning tool trained on brain MRI scans of over 2,000 people worldwide can accurately predict psychosis before it occurs. The tool achieved an accuracy rate of 85% in training and 73% in testing, suggesting its potential as a valuable aid for early diagnosis.
Researchers at ETH Zurich have developed a new magnetic resonance imaging (MRI) procedure that maps the condition of myelin sheaths in the central nervous system more accurately. This breakthrough technology has the potential to facilitate early MS diagnosis and monitoring, as well as the development of new drugs for the disease.