Monday, December 2 | 3:30 p.m.-3:40 p.m. | SSE22-04 | Room S403A
Researchers from the U.S. National Institutes of Health (NIH) will describe in this RSNA 2013 presentation the potential of their computer-aided detection (CAD) technology for spotting epidural masses on CT studies.
Epidural masses are frequently missed on routine CT exams, mostly likely because masses are uncommon and because the spinal canal is imaged at low resolution on routine CT scans, according to presenter Dr. Ronald Summers, PhD.
"However, early detection of epidural masses is important to avoid paralysis, pain, and loss of bowel and bladder function," Summers said.
The NIH team developed a CAD system designed to detect epidural masses on routine CT studies. In testing, the CAD system detected 80% of epidural masses with 7.2 false positives per patient.
"Our study shows that automated detection of epidural masses is feasible at a clinically relevant high level of sensitivity," he said.
