3D CT models can help assess COVID-19 lung damage
August 20, 2020 -- Can advanced visualization techniques used to research the lungs of reptiles and birds also help diagnose COVID-19 in humans? Applying methods from evolutionary anatomy research, a Louisiana State University team has created 3D digitally segmented models that demonstrate the extent and distribution of the disease. Read More
Holographic anatomy program shifts gears after COVID-19
August 10, 2020 -- A program that uses holograms to teach human anatomy at Case Western Reserve University didn't miss a beat when COVID-19 hit in March. It distributed nearly 200 holographic headsets to students so they could continue learning at home, according to a talk at the Society for MR Radiographers & Technologists virtual meeting. Read More
Augmented reality can control MR scanners
August 8, 2020 -- Augmented reality can provide an alternative to traditional MR console software for controlling the scanner and viewing images, according to research presented at this week's virtual conference and exhibition of the International Society for Magnetic Resonance in Medicine. Read More
CT radiomics can predict COVID-19 pneumonia outcomes
July 28, 2020 -- Radiomics features on noncontrast-enhanced chest CT exams can help to identify which patients with COVID-19 pneumonia will need to be admitted to the intensive care unit. They can also predict patient outcomes, according to research published online July 23 in Radiology: Cardiothoracic Imaging. Read More
AI, radiomics can predict stroke treatment success
July 28, 2020 -- Artificial intelligence (AI) and radiomics can help to predict if a particular treatment strategy for acute ischemic stroke will be successful and how difficult the procedure will be, potentially paving the way for personalized endovascular patient management, according to research published online July 20 in Stroke. Read More
Radiomics can predict treatment outcome for NSCLC
July 27, 2020 -- Radiomics features on pretreatment FDG-PET exams can foretell outcomes in patients with non-small cell lung cancer (NSCLC), according to research presented at the 2020 virtual annual meeting of the Society of Nuclear Medicine and Molecular Imaging. Read More
CT textures predict interstitial lung disease survival
July 23, 2020 -- Quantitative analysis of texture patterns on CT exams in interstitial lung disease patients can yield better survival predictions than a radiologist's classification of usual interstitial pneumonia (UIP) versus non-UIP, according to research presented at last week's virtual ECR. Read More
Textural analysis improves breast MRI's accuracy
July 17, 2020 -- Adding textural analysis to breast MRI appears to boost the modality's accuracy when it comes to differentiating malignant from benign axillary lymph nodes in women with breast cancer, according to a study published July 4 in the Journal of Breast Imaging. Read More
Can radiomics improve CT lung cancer screening?
July 7, 2020 -- Two radiomics features on low-dose CT (LDCT) exams in lung cancer screening can be used to identify early-stage lung cancer patients who may be at higher risk for poor survival outcomes, potentially enabling earlier interventions, according to research published online June 29 in Scientific Reports. Read More