Radiology, sonography and beyond: Keep reading to find out how imaging techniques like MRI, CT and ultrasound can be used in the diagnosis of diseases and the guidance of medical procedures.
Researchers visualize brain inflammation using diffusion-weighted MRI. This detailed "X-ray" of inflammation cannot be obtained with conventional MRI, but requires data acquisition sequences and special mathematical models.
A special type of MRI found lung abnormalities in patients who had previously had COVID-19, even those who had not been hospitalized with the illness.
Hyperpolarized nuclear magnetic resonance enables major medical advances in molecular diagnostics, for example for cardiovascular diseases or cancer therapy.
Advances in image post-processing and contrast-enhanced techniques have widened the scope of possibilities for MRI and ultrasound vascular imaging, experts showed in a dedicated course at the ECR Overture.
Cerebral white matter hyperintensities (WMH) can have a devastating impact on a patient’s life. Radiologists must learn to recognise these white spots in the brain and conventional imaging may just reveal the tip of the iceberg.
Ultra-powerful 7T MRI scanners could be used to help identify patients with Parkinson’s disease and similar conditions who are most likely to benefit from new treatments, say scientists.
Two successive studies highlight advances in non-invasive 3D ultrasound imaging, making it possible to observe blood flow in real time in the heart and the brain.
Dr Christina Malamateniou spoke to The European Society for Magnetic Resonance in Medicine and Biology about the recent review she led to help make MRI brain scans more accessible to autistic people.
Using MRI scans to detect heart failure could revolutionise how the condition is diagnosed, thanks to new research from the University of East Anglia and the University of Sheffield.
A new handheld device has been developed to painlessly identify skin cancers using millimeter-wave imaging. This could slash the rate of unnecessary biopsies.
Recently, a Korean research team has developed a 3D foot imaging technique that vividly captures peripheral blood vessels, even thinner than 1 mm. It combines photoacoustic and ultrasound images.
A team led by scientists from Amsterdam have combined MRI and microscopy to produce 3D images of two entire brains with a previously unmatched level of detail.
Portable MRI machines detected ischemic strokes, or strokes caused by clotting, in 90% of patients scanned.
Cedars-Sinai physician-scientists are pioneering imaging techniques and investigating new biomarkers to improve multiple sclerosis (MS) diagnosis and treatment.
Patients with neurological conditions such as dementia or autism can prove especially challenging for radiographers. A session at the ECR Overture in March gave insights to a patient-focused approach.
Diagnostic imaging in women’s health advances: PET/CT might provide a more accurate imaging alternative to CT in ovarian cancer. T2*-weighted MR imaging in deep endometriosis detection also shows promise, but ultimately falls flat.
Researchers from Charité – Universitätsmedizin Berlin have shown that massive electrochemical waves in the brain act as a marker announcing an impending ischemic stroke.
An algorithm built to assess scar patterns in patient heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.
In the second year of the pandemic, JVCKenwood also draws a positive conclusion despite all difficulties. 'We were also able to welcome some highlights in 2021, both on the part of new monitors and new customers,' says Marcel Herrmann, Marketing Manager Medical Imaging. 'Nevertheless, the situation remains tense here and there.'
A major new study shows that artificial intelligence (AI) is a promising tool for breast cancer detection in screening mammography programs.
Contrast agents in the wastewater and power-hungry imaging systems: The eco-footprint of healthcare is huge, and radiology departments are among the main culprits. An expert panel at the ECR Overture explored ways to make the field “greener”.
The appearance of ovarian lesions on ultrasound is an effective predictor of cancer risk that can help women avoid unnecessary surgery.
Synthetic correlated diffusion makes cancerous tissue glow in medical images could help doctors more accurately detect and track the progression of cancer over time.
A software based on deep learning with convolutional neural networks can accurately and consistently classify breast density on mammograms according to BI-RADS criteria.
A significant number of Covid-19 neurological complications – such as fatigue, headache, and cognitive impairment – are ultimately reversible, according to new research.
