Nearly three-quarters (74%) of emergency department patients consider diagnosis with CT more important than any associated radiation risk, according to a survey at Thomas Jefferson University Hospital in Philadelphia.
Nearly three-quarters (74%) of emergency department patients consider diagnosis with CT more important than any associated radiation risk, according to a survey at Thomas Jefferson University Hospital in Philadelphia. However, more than two-thirds (68%) of patients prefer the ordering physician to discuss the risks and benefits of CT with them before ordering the test.
The survey included 383 emergency department patients. Seventy-nine percent of patients correctly estimated their risk of cancer from chest x-rays as none, small, or very small. Eighty-three percent correctly estimated their risk of cancer from CT scans as none, small, or very small.
The researchers found differences in knowledge of radiation stratified by age, race, education, insurance status, and pain.
“Our results suggest we may help emergency department patients better with targeted teaching about radiation, decreasing their pain, discussing risks and benefits, and asking them to participate in the ordering of their diagnostic tests,” the authors said.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
The Reading Room Podcast: Current Perspectives on the Updated Appropriate Use Criteria for Brain PET
March 18th 2025In a new podcast, Satoshi Minoshima, M.D., Ph.D., and James Williams, Ph.D., share their insights on the recently updated appropriate use criteria for amyloid PET and tau PET in patients with mild cognitive impairment.
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.