Nick Klenske

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.

When it comes to better understanding the inner workings of the brain, functional MRI (fMRI) has been nothing short of a gamechanger.

How radiologists can harness the power of conversational AI programs to assist with specific tasks.

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.

"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."

From making appointments to understanding the bill, for patients, families and providers, the entire health care system has become frustrating.

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.

Ability to predict invasive cancer or DCIS could help patients choose optimal treatment strategy.

By knowing the warning signs, radiologists can start the early detection and reporting process, which is key to managing and preventing this growing problem.

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.

DLR offers higher signal-to-noise and contrast-to-noise ratios for prostate diffusion-weighted images.

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.

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.

Models provide invaluable education simulation that is transferable to patients.

According to the CDC, cigarette smoking is responsible for as much as 90% of lung cancer deaths in the U.S. As such, it should come as no surprise that the best way to prevent lung cancer is to not smoke or, if you do, to quit. But what about the use of e-cigarettes, or vaping — particularly by former smokers?