A Tale of Two Fortune Cookies: Embracing Imperfection
Perfection is a goal, one realistically never achieved.
Imaging Findings May Help Detect CAR T-Cell Therapy Toxicities
Study findings further highlight the central role of PET/CT in disease response after CAR-T cell therapy.
How COVID-19 Has Inspired Changes in Healthcare
There isn't a person that hasn't been impacted by the pandemic, but what we can do is grow from the challenges we face and share what we've learned along the way.
Low-field MRI Matches Standard-Of-Care Imaging for Hydrocephalus
Early study results suggest that low-field MRI may offer a cost-effective, radiation-free alternative to monitor ventricular volume changes in patients with hydrocephalus.
Community-Based Intervention May Increase Lung Cancer Screening
Cost, lower literacy levels and fear of lung cancer diagnosis were highlighted as concerns with lung cancer screening.
Diffusion-Weighted Imaging Helps Detect Breast Cancer in Dense Breasts
Diffusion-weighted imaging may be useful as a safe and effective screening tool to supplement mammography in women with dense breast tissues.
Online Patient Portals for Screening Mammograms May Widen Health Disparities
This study discloses the characteristics of patients using self-scheduled online patient portal screening mammography.
Prostate-Specific Membrane Antigen PET Bests MRI in Biochemical Recurrent Disease
PSMA PET is highly robust in identifying prostate cancer lesions which are otherwise deemed unremarkable.
AI for Digital Breast Tomosynthesis Enhances Diagnostic Performance
An artificial intelligence for digital breast tomosynthesis enhances radiologists’ performance and efficiency.
Goals, Systems, and Self-Awarded Raises in Radiology: The Other Side of the Coin
Retaining good people should never be about giving them as little as you can get away with for as long as you can.
MRI Alone Beneficial for Surveillance After Breast-Conserving Treatment
Following breast cancer treatment, women who have access to breast MRI may safely forgo additional mammographic or digital breast tomosynthesis follow-up.
Algorithm Can Detect Intracranial Hemorrhage in CT Without Medical Annotation
A deep learning model was developed to detect intracranial hemorrhage in computed tomography scans without medical annotation.
MRI Features Help Detect Neoadjuvant Therapy Response in Esophageal SCC
Multiparametric MRI can detect pathologic complete response after neoadjuvant therapy in patients with esophageal squamous cell carcinoma.
Deltoid Muscle Ultrasound May Detect Type 2 Diabetes
Sonographic quantitative assessment of the deltoid muscle could translate into a dedicated, simple and noninvasive screening method to detect type 2 diabetes.
NSAID Use May Affect Axial Spondyloarthritis Diagnosis via MRI
Findings suggest that patients with suspected axial spondyloarthropathy not taking NSAIDs were more likely to have MRI proven inflammation compared with patients taking NSAIDs.
AI Trained on a Diverse Dataset Perform Better Chest X-ray Analysis
Deep learning models trained on a dataset lacking racial diversity could hinder the detection of pathology in underrepresented minority patients.
Breast Ultrasound/MRI Fusion May Help Reduce MRI-Guided Biopsies
Breast ultrasound/MRI fusion significantly improves localization of incidentally detected MRI lesions which are occult on an initial ultrasound survey alone.
Cardiovascular Imaging Manifestations of COVID-19 to Watch For
COVID-19 can result in cardiac complications including myocarditis, arterial and venous thromboembolism, and cardiomyopathy.
Integrating AI Into Radiology Practice to Enhance Lung Disease Prediction and Diagnosis
Artificial intelligence has been shown to be beneficial in the discovery of prognostic biomarkers for lung cancer diagnosis, treatment, and response evaluation.
RSNA 2021 Preview: Canon Medical Touts Advances Across Modalities
Learn more about what Canon Medical will be showcasing virtually at RSNA 2021.