Radiologists have developed evidence-based guidelines to help physicians manage low back pain patients to try to reduce inappropriate imaging and procedures.
Radiologists have developed evidence-based guidelines to help physicians manage patients with low back pain in an attempt to reduce inappropriate imaging and invasive procedures.
"We have presented a logical method of choosing, developing and implementing clinical decision support interventions that is based on the best available evidence,” said Scott E. Forseen, MD, a co-author of the article published in the October issue of the Journal of the American College of Radiology. “These templates may be reasonably expected to improve patient care, decrease inappropriate imaging utilization, reduce the inappropriate use of steroids and narcotics, and potentially decrease the number of inappropriate invasive procedures."
Radiologists from Emory University Hospital in Atlanta and Georgia Health Sciences University in August, Ga., developed a system whereby patients who present with low back are initially categorized into one of three groups:
• Non-specific low back pain;
• Low back pain potentially associated with radiculopathy or spinal stenosis; or
• Spinal stenosis or low back pain potentially associated with a specific cause.
The radiologists then applied a set of templates that they had devised for each group that would act as a guide for evaluation, management, and follow-up of the patients. Forseen said physicians’ workup and management of low back pain is inconsistent, and there is variability among and between specialties.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
New Collaboration Offers Promise of Automating Prior Authorizations in Radiology with AI
March 26th 2025In addition to a variety of tools to promote radiology workflow efficiencies, the integration of the Gravity AI tools into the PowerServer RIS platform may reduce time-consuming prior authorizations to minutes for completion.