A prospective observational study found that preoperative shear wave elastography (SWE) can predict successful rotator cuff repair. SWE-derived elasticity was higher in patients with insufficient repair, and the elasticity ratio independently predicted insufficient repair.
A new MRI technique has been developed to detect changes in multiple sclerosis (MS) at an earlier stage. This technique, proton MR spectroscopy with a 7-tesla magnet, can visualize brain changes that appear normal on conventional MRI scans.
Regular aerobic exercise has been shown to strengthen brain networks between spared regions, improve grey-matter volume, and enhance movement control in individuals with Parkinson's disease. The study published in Annals of Neurology suggests that exercise can stimulate compensatory capacity in the brain, leading to reduced symptoms.
A green Mediterranean diet rich in polyphenols and low in red and processed meat may slow age-related brain atrophy. The DIRECT PLUS 18-month trial found significant attenuation of brain atrophy among participants who adhered to both diets.
A retrospective study found that whole-spine MRI commonly demonstrates isolated thoracolumbar injuries in children with suspected abusive head trauma. The study included 256 children who underwent whole-spine MRI as part of their evaluation, revealing that 23% of examinations showed injuries localized to the thoracolumbar spine.
Researchers at Beckman Institute have defined a mathematical framework for identifying hallucinations in biomedical images. This framework will enable researchers and radiologists to quantitatively assess their image reconstruction methods and prevent patient misdiagnosis.
New research published in JNeurosci reveals that impaired cognition can be part of normal aging, rather than an early sign of Alzheimer's. Cognitively frail adults showed brain structure and activity similar to healthy controls, suggesting lifestyle factors like physical activity and education may play a role.
Automated brain volumetry in memory-impaired patients shows significant differences and systematic biases between conventional and ultrafast 3D T1-weighted MRI sequences. Most regions demonstrated substantial agreement but also significantly different mean values and consistent biases.
A study by Indiana University School of Medicine researchers suggests that reperfusion therapy may not be as effective in halting muscle damage during heart attacks as previously thought. The team's findings indicate that internal bleeding within the heart muscle can continue to cause damage even after the blocked coronary artery is op...
A recent study published by Queen Mary University of London has found that certain risk factors for heart disease are linked to changes in the structure and appearance of the heart. The research analyzed images from over 30,000 people's heart MRI scans using a new imaging toolkit called radiomics.
A recent study published in the Journal of the American College of Cardiology found that fetal MRI can detect at least one other abnormality in almost 57% of fetuses with heart defects. Additionally, approximately a quarter of all fetuses had structural brain abnormalities, regardless of the severity of the heart defect.
A team of researchers at Duke University found that surprise can disrupt the stability of patterns in the hippocampus, leading to more false memories. This study has implications for understanding learning and memory, as well as how people recall events and faces.
Lesions in white matter carry messages between neurons, damaging it and leading to cognitive deficits. Researchers found that strain on ventricular walls explains where lesions develop in the aging brain.
Researchers at Nagoya University developed a scalable method to produce high-temperature superconductors with artificial pinning centers, improving their properties. The technique, known as grain boundary engineering, can help develop stronger, inexpensive, and high operating temperature superconductors.
Scientists have found age rings in Marimo, indicating their growth rate and annual growth of up to 9mm. The study also shows how the algae balls recycle nutrients through a small-scale nutrient cycle, with exchanges occurring every 105 hours.
A prospective study found that MRI outperformed conventional tests and FDG PET/CT for various staging endpoints in SCLC. Whole-body MRI and FDG PET/MRI were more accurate than FDG PET/CT for assessing local invasion extent.
Researchers at Massachusetts General Hospital have developed a method to detect early signs of tumor cell death using MRI and AI, allowing for non-invasive monitoring of cancer treatment. This approach has shown promise in detecting treatment-responsive regions in mouse brain tumors and healthy human brains.
Researchers at the University of Toronto have demonstrated that listening to personally meaningful music induces beneficial brain plasticity in patients with mild cognitive impairment or early Alzheimer's disease. The study showed changes in neural pathways correlated with increased memory performance on neuropsychological tests, suppo...
A recent study found that Black, Hispanic, and Asian men are less likely to receive an MRI exam after a prostate-specific antigen (PSA) blood test. The study suggests racial and ethnic disparities in the use of prostate MRIs following elevated PSA results.
Researchers at Skoltech propose a method for interpreting brain activity data that is up to five times more accurate than the conventional technique. This method can help treat drug-resistant epilepsy and understand cognitive processes in the healthy brain.
A recent study published in the American Journal of Roentgenology found a link between COVID-19 mRNA vaccination and myocarditis in adolescent males. Cardiac MRI was used to assess suspected myocarditis post-vaccination, with late gadolinium enhancement persisting in two patients undergoing repeat MRI.
A multi-center study demonstrated improved overall survival and quality of life for inoperable pancreatic cancer patients treated with MRIdian SMART, with a median survival of 26 months. The treatment showed low rates of major adverse events and was more effective than standard radiation therapy.
A pilot study examines graph-theoretical properties of brain networks in traumatic brain injury and controls, showing association with balance impairment and structural damage. The study uses EEG-based functional connectivity measures during a balance perturbation task to explore underlying neural mechanisms.
Researchers have identified that moment-to-moment brain signal variability can reliably predict the effectiveness of cognitive behavioural therapy for patients with social anxiety disorder. This finding suggests that neural variability may be a reliable indicator of individual differences in treatment response, particularly when using ...
A multicenter study found cardiovascular magnetic resonance imaging to be highly accurate in diagnosing and excluding cardiac tumors. The results show that CMR provides prognostic value beyond clinical factors.
The researchers will develop techniques to analyze the joint growth of the brain and cranium using MRI scans, helping clinicians better assess and diagnose developmental disorders. The project has the potential to provide invaluable insights into healthy child development, enabling early detection and effective treatment.
Researchers found that early accumulation of tau proteins in the brain, measured by PET scanner, is more effective at predicting memory impairment than other biomarkers. The study suggests that tau PET should be recommended for clinical prognostic assessment of cognitive decline in Alzheimer's patients.
A new imaging technique using PET/MR and a PET tracer directed against CXCR4 shows high accuracy in detecting MALT lymphomas of the stomach, potentially reducing the need for repeated gastroscopies. The study found that [68Ga]Pentixafor PET/MR achieved 97% accuracy in detecting tumours compared to gastroscopy.
New guidelines aim to standardize interpretation of MRI scans in patients with pelvic floor disorders, promoting shared understanding among professionals. The consensus statement provides definitions and templates for diagnosing conditions such as incontinence, constipation, and prolapse.
Scientists developed a machine learning method to analyze NMR data, allowing faster and more accurate analysis of proteins and chemical reactions in the human body. The method uses an artificial deep neural network to separate and analyze complex data, resulting in highly reproducible results comparable to human experts.
Researchers at Rice University have refined models to analyze gadolinium-based contrast agents, which are used in 40% of MRIs worldwide. The team's goal is to design better and more customizable contrast agents that improve image quality while minimizing risks.
Research reveals that lupus patients with higher white matter free water have more severe cognitive dysfunction, related to increased cumulative dosage of medical steroids. The study suggests that reducing steroid dosage may alleviate cognitive decline in SLE patients.
A multidisciplinary organization has reached consensus on guidelines for performing, interpreting, and reporting MR defecography. The consensus templates aim to standardize care for patients with evacuation disorders of the pelvic floor.
Patients with bipolar disorder experiencing manic episodes show abnormal brain changes, including faster cortical thinning, compared to those without episodes. The study also found associations between brain ventricle enlargement and accelerated cognitive decline in bipolar patients.
A team of neuroscientists at the Beckman Institute developed safety standards for multiband EEG-fMRI imaging, reducing heating risks and maintaining data quality. By establishing protocols to mitigate artifacts, they enabled the use of accelerated fMRI sequences with EEG recordings.
Researchers at Vanderbilt University Medical Center developed a standardized MRI protocol for pancreatic imaging, enabling reproducible measurements across different MRI hardware and software. The study demonstrates potential for incorporating MRI into multisite clinical trials, advancing diabetes research and treatment.
A new 3D spiral gradient recalled echo (GRE) sequence has been developed to overcome conventional challenges in head and neck MRI. This sequence achieves improved image quality and contrast-to-noise ratio compared to traditional Cartesian sequences, while reducing scan time by up to 44.6%.
A new portable MRI device has been shown to accurately identify intracranial hemorrhages in stroke patients, with a correct identification rate of 80%. The device is being hailed as a potential game-changer for doctors treating strokes in resource-limited settings.
A novel blood test, Stockholm3, can reduce the number of MRIs performed by a third while preventing the detection of minor, low-risk tumours. The addition of this test to MRI reduces overdiagnosis by as much as 69% and halves the number of biopsies.
Researchers found that epilepsy surgery is associated with improved overall brain health, reducing brain-predicted age by at least seven years in patients with refractory temporal lobe epilepsy. The study used advanced MRI techniques to inform its findings and suggests earlier surgery may benefit these patients.
New research published in eNeuro found that premature babies' brain connections at birth can predict their future emotional and social development. The study discovered a link between the strength of the uncinate fasciculus, a white matter tract involved in emotional regulation, and emotion moderation skills in preschoolers.
Researchers found that pre-treatment T2-weighted MRI texture features can accurately predict the response to neoadjuvant chemotherapy in patients with locally advanced breast cancer. The study identified 7 significant texture features and achieved high classification accuracy using a k-nearest neighbor model.
Researchers have developed a new MRI methodology called Correlation Tensor Imaging (CTI) that can analyze stroke lesions with unprecedented accuracy. This technology may predict individual outcomes and guide treatment, improving patient care.
Researchers developed a non-invasive optical technique using spectroscopy to identify structural changes in the brain and diagnose Alzheimer's disease. The new technology has potential as a simple, completely non-invasive method of early detection and could also assess treatment effectiveness.
King's College London researchers have automated brain MRI image labelling by leveraging radiology reports, enabling the labelling of over 100,000 exams in less than half an hour. This breakthrough tackles a bottleneck in deep learning image recognition tasks for complex datasets like MRI.
A study of 44 elite rugby players found significant changes in white matter and volume over time. The research suggests that professional rugby participation may be associated with structural changes in the brain that could have long-term implications for player health.
A standardized non-invasive clear cell likelihood score derived from MRI correlates with the growth rate of small renal masses. Small renal masses with higher scores are more likely to grow faster and may require earlier intervention.
Research found that MRI's static magnetic field decreases blood-brain barrier opening volume and microbubble cavitation activity, leading to reduced drug delivery efficiency. The study suggests considering the impact of the magnetic field in clinical applications of focused ultrasound for brain disease treatment.
The SCAIFIELD project aims to develop measuring protocols and procedures for maximizing the use of existing MRI technology. This will enable finer details of the human brain to be visualized, leading to better detection of pathological changes in neurodegenerative diseases such as spinocerebellar ataxias.
Researchers found that quadriceps tendon autografts had a lower MRI signal at 12 months compared to hamstring tendon autografts, indicating quicker graft maturation and improved structural integrity. This suggests that quadriceps tendon autografts may have a superior rate of incorporation and synovialization.
A new study suggests that magnetic resonance imaging (MRI)-based screening can reduce unnecessary biopsies and detect clinically significant tumours while halving overdiagnoses. The results come from a randomized study conducted at Karolinska Institutet in Sweden.
A new AI tool automatically measures fat around the heart from MRI scan images, linking it to increased diabetes risk. The tool was tested on over 45,000 people and accurately calculated their risk of developing diabetes.
A NIST-led study comparing 27 MRI scanners found significant bias and variation in T1 measurements, which can affect diagnosing brain tumors. The study recommends establishing rigorous quality control procedures for quantitative MRI to promote confidence and stability in measurement techniques.
Researchers at Wayne State University are developing new strategies to assess appropriate treatments of peripheral nerve diseases using MRI biomarkers. The study focuses on nerve MRI methods that can directly image pathology within nerves, offering valuable information on disease progression and improving treatment evaluation.
Scientists have imaged an entire mouse brain at the microscopic to macroscopic level using a new micro-CT approach. This technique bridges the resolution gap between MRI and electron microscopy, enabling the connection of biomarkers across multiple scales and improving image resolution.
A reduced dose of gadobutrol was found to be non-inferior to the standard dose of gadoterate for contrast-enhanced brain MRI in patients undergoing multiple examinations. The study demonstrated equivalent efficacy for lesion detection and delineation.
A recent study found that cannabis use during adolescence is associated with reduced thickness in certain brain areas, according to researchers at the University of Vermont. The study used magnetic resonance imaging to measure brain structure and suggest a possible link between early cannabis use and neurodevelopmental changes.
A new imaging technique, flexed elbow valgus external rotation (FEVER) view, has been shown to improve the evaluation of ulnar collateral ligament (UCL) injuries in Major League Baseball pitchers. This study found increased joint space width and diagnostic confidence with FEVER view compared to standard positioning.
Placental bulge sign on prenatal ultrasound or MRI significantly aids diagnosis of severe placenta accreta spectrum disorder, warranting hysterectomy over conservative management. The sign's accuracy and sensitivity are notable, making it a valuable tool for maternal counseling.
Researchers have developed microdiamond tracers that can provide information via both MRI and optical fluorescence simultaneously, allowing high-quality images up to a centimeter below the surface of tissue. This technique enables faster imaging and overcomes the limitation of light microscopy in probing deeper tissues.