COVID-19 progression over 4 days in a 28-year-old man. This posteroranterior chest X-ray \ shows bilateral multiple peripheral and lower lobe ground glass opacities (GGOs) shown by the arrows. Image courtesy of Margarita Revzin et al.
The teams from HCI, U of U and Mevion gather to celebrate the center’s grand opening. Group from left to right: Bill Salter, Ph.D., Senior Director of Radiation Oncology, HCI and Professor and Chief of the Division of Medical Physics, U of U -- Robyn Walker, Sr. Director, Customer Success and Service Operations, Mevion -- James Cooley, Ph.D., Director of Advanced Development, Mevion -- Dennis Shrieve, M.D., Ph.D., Chair in Cancer Research, HCI and Chair of Department of Radiation Oncology, U of U -- Tina Yu, Ph.D., CEO, Mevion -- Michael Good, M.D., Interim President, U of U and Sr. VP for Health Sciences, U of U Health -- Ying Hitchcock, M.D., Professor and Medical Director, Department of Radiation Oncology, U of U. (Photo: Business Wire)
Flowchart showing the framework of the brain age prediction model. A, The imaging data were split into training and test datasets. The training dataset consisted of structural magnetic resonance imaging data from 974 healthy individuals, whereas the test dataset included data from 2 groups, 231 healthy controls and 224 aMCI subjects. B, A Conventional Statistical Parametric Mapping structural preprocessing pipeline was used to generate GMV maps in the MNI space. C, The intensity values from the GMV maps were extracted and concatenated to create a feature matrix that was then cleaned and normalized. D, The best elastic net model was obtained by performing supervised learning on the training dataset. To optimize the hyperparameters, a grid search was performed. E, The test dataset was input into the trained model. An age was predicted for every participant included in the test dataset. The PAD scores were calculated by subtracting the participant's chronological age from his or her predicted age. aMCI = amnestic mild cognitive impairment, GMV = gray matter volume, MNI = Montreal Neurologic Institute, Dartel = Diffeomorphic Anatomic Registrations Through Exponentiated Lie Algebra, PAD = predicted age difference. Chart courtesy of Radiological Society of North America
Figure 1. Case example: A 54-year-old man with a history of RP+LND and a subsequent PSA of 1.25 ng/mL had no evidence of disease by baseline imaging. Piflufolastat F 18 (18F-DCFPyL)- PET/CT accurately detected biochemically recurrent prostate cancer with the PSMA PET/CT scan identifying positive left (left panel) and right peri-rectal lymph nodes (right panel).
Figure 1. Tau accumulation over one year measured in composite A) mesial temporal ROI; and B) temporoparietal ROI in cognitively unimpaired participants (blue) and cognitively impaired participants (red). The CI group included participants with clinical mild cognitive impairment and dementia. Higher rates of tau accumulation were observed in participants on the AD continuum (CU Aβ+ve and CI Aβ+ve). Participants with the highest baseline tau and rates of tau accumulation were younger and more likely to be CI Aβ+ve. Image courtesy of SNMMI
Figure 1. A: COVID-19-related spatial covariance pattern of cerebral glucose metabolism overlaid onto an MRI template. Voxels with negative region weights are color-coded in cool colors, and regions with positive region weights in hot colors. B: Association between the expression of COVID-19-related covariance pattern and the Montreal Cognitive Assessment (MoCA) score adjusted for years of education. Each dot represents individual patient. C: Results of a statistical parametric mapping analysis. Upper row illustrates regions that show significant increases of normalized FDG uptake in COVID-19 patients at 6-months follow-up compared to the subacute stage (paired t test, p < 0.01, false discovery rate-corrected). Bottom row depicts regions that still show significant decreases of normalized FDG uptake in COVID-19 patients at 6-months follow-up compared to the age-matched control cohort at an exploratory statistical threshold (two-sample t test, p < 0.005). Image Credit: G Blazhenets et al., Department of Nuclear Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg