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Positioning MRI as an Effective Prostate Cancer Screening Tool
Often exhibiting no symptoms until an advanced stage, prostate cancer remains a difficult disease to detect. While screening can help, current practices, which test for prostate-specific antigen (PSA) levels, lack specificity and can be elevated for reasons other than cancer. MRI has the potential to close this screening gap.
Direct-to-Consumer Imaging Centers Offer Whole Body Imaging With Little Context
For many people, the allure of addressing health issues before they are beyond medical treatment, can provide peace of mind. Marketing efforts used by whole-body imaging services tend to highlight “lifesaving diagnoses.” Unfortunately, such claims can be more hype than substance.
Gantry-Free Cone-Beam CT Offers More Flexibility for Elbow Imaging
While elbow injuries are a common sight in the emergency room, quality images of those injuries can be difficult to achieve.
Survivors of Childhood Cancer: Risk of Future Disease, Screening Needs and the Role of Radiology
As treatment for childhood cancers continues to improve, so too has the chance for long-term survival. But as childhood cancer survivors enter adulthood, they face an increased risk for developing new conditions related to their prior cancer therapy.
Using rsfMRI to Head Into the Next Frontier of Radiology
When it comes to better understanding the inner workings of the brain, functional MRI (fMRI) has been nothing short of a gamechanger.
The Good, the Bad and the Ugly of Using ChatGPT
How radiologists can harness the power of conversational AI programs to assist with specific tasks.
Using AI to Catch Aneurysms in Routine, Nonvascular Chest CTs
While a thoracic aortic aneurysm (TAA) can be detected using CT and MR angiography, one first must know—or at least suspect—it’s there. Considering that over 95% of TAA patients are asymptomatic until the aneurysm raptures, this is easier said than done.
Using Radiomic Features from Mammography to Predict Upstaging of DCIS
Ability to predict invasive cancer or DCIS could help patients choose optimal treatment strategy.
Radiologists at the Frontline of Preventing Elder Abuse
By knowing the warning signs, radiologists can start the early detection and reporting process, which is key to managing and preventing this growing problem.
Big Data Advances Ability to Automatically Segment Breast Tumors
Breast tumors can be quite variable in size and appearance, so precisely outlining their extent and margins on an MRI image can be helpful in both treatment planning and monitoring treatment response or tumor progression. However, this outlining—or segmenting of images—is not an easy task, particularly for an entire volume covering many image slices.
Deep Learning Reconstruction Can Lead to Better Image Quality and Increased Detection of Prostate Cancer
DLR offers higher signal-to-noise and contrast-to-noise ratios for prostate diffusion-weighted images.
Radiology Better Prepared to Face Future Pandemics
Through the combined experiences across radiology departments and knowledge sharing through publications, webinars and meetings such as RSNA, departments are much better prepared to mobilize quickly for future COVID waves and future pandemics.
Differentiating EVALI from COVID-19 on Imaging Proves Challenging
In 2019, shortly before the outbreak of the COVID-19 pandemic, doctors in Wisconsin discovered an unexplained respiratory illness. Although they didn’t know it at the time, the illness presented with many of the same clinical and imaging signs as COVID-19 pneumonia, including persistent cough and bilateral and symmetric ground-glass opacity in the lungs.
3D Printed Models Move to the Head of the Class
Models provide invaluable education simulation that is transferable to patients.
Radiologists Explore Potential of AI to Aid Breast Cancer Screening
Despite the now sizeable number of reports on the use of AI to aid breast cancer screening, most studies are either standalone and/or retrospective in nature. As such, their current bearing on AI’s role in the clinical setting seems limited.