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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.
Making the Case for Prostate MRI's Role in Active Surveillance
Active surveillance is a conservative management approach that is increasingly being used for patients with low- and intermediate-risk prostate cancer.
Leveraging History to Prepare for the Future
'History never repeats itself, but it does often rhyme' is a quote often credited to Mark Twain. But regardless of the saying's origin, the notion touches on the point that while we may view today's events, discoveries and circumstances as being unprecedented, upon closer examination, one will likely find that everything has some historic precedent.
Radiology is no exception.
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.
Creating Cross-Cultural Competencies By Comparing CT in the U.S. and Kenya
"By highlighting the similarities, differences and challenges faced in diagnosing and treating patients in such different health care and country settings, we hoped to foster cross-border discussions and, ultimately, stimulate interest and research in global health radiology programs."
Looking Beyond the Image to Imagine a Better World for Everyone
From making appointments to understanding the bill, for patients, families and providers, the entire health care system has become frustrating.
Photon-Counting CT Opens Door to New Possibilities in Imaging Sinuses
From single section CT scanners to multidetector systems capable of covering the entire heart in a single rotation, CT has experienced a dramatic evolution over the past several decades. As a result, it is now a mainstay of diagnosis in many pathologies–including complex and small anatomical structures.
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.