Early diagnosis of femoro-acetabular impingement syndrome could prevent degenerative arthritis of the hip. It may keep young patients from potentially expensive, and possibly disastrous, invasive treatment interventions, according to research presented at the RSNA meeting.
Early diagnosis of femoro-acetabular impingement syndrome could prevent degenerative arthritis of the hip. It may keep young patients from potentially expensive, and possibly disastrous, invasive treatment interventions, according to research presented at the RSNA meeting.
Total joint replacement has become a popular treatment for ailing hips in elderly patients. Femoro-acetabular lesions affect mostly younger patients, however. The anatomic changes involved in femoro-acetabular impingement syndrome can be identified on conventional radiography, MRI, and CT. Unfortunately, these radiographic findings go mostly unrecognized and could have dire consequences, said Dr. Douglas P. Beall, chief of musculoskeletal ultrasound at the University of Oklahoma.
Beall chaired an Integrated Science and Practice session on musculoskeletal imaging at the meeting that introduced several strategies for timely diagnosis of the condition.
Keynote speaker Dr. Suzanne Anderson, a musculoskeletal radiologist at the University Hospital of Berne in Switzerland, offered the audience a glimpse of the radial-reformation MRI technique used at her institution. MR-based radial imaging could help radiologists confirm or exclude diagnosis of femoro-acetabular impingment syndrome, stage the condition, and provide appropriate treatment direction, Anderson said.
Dr. Takashi Nishii and colleagues at the University of Osaka in Japan proposed an alternative imaging technique to diagnose acetabular labrum and articular cartilage defects in hip dysplasia. The investigators assessed 36 hip joints in 26 patients using multislice CT-based radial reconstruction arthrography. They found the procedure, based on sequential reconstructions of the acetabular circumference at 30° angles, provided accurate diagnosis of labral and cartilage disorders.
"Acetabular labral disorders play an important role on articular cartilage disease and osteoarthritis progression in hip dysplasia," Nishii said.
A different study by Dr. Kenjirou Ohashi and colleagues at the University of Iowa presented results that could sustain concerns about misdiagnosis.
The team reviewed more than 100 x-rays of acetabular fractures over 38 months and compared the diagnostic performance of orthopedic trauma surgeons and musculoskeletal radiologists. They found that experienced orthopedic trauma surgeons are only moderately reliable and not necessarily better than radiologists when classifying these lesions based on radiography.
For more online information, visit Diagnostic Imaging's RSNA Webcast.
Can Generative AI Facilitate Simulated Contrast Enhancement for Prostate MRI?
January 14th 2025Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.
Can MRI Have an Impact with Fertility-Sparing Treatments for Endometrial and Cervical Cancers?
January 9th 2025In a literature review that includes insights from recently issued guidelines from multiple European medical societies, researchers discuss the role of magnetic resonance imaging (MRI) in facilitating appropriate patient selection for fertility-sparing treatments to address early-stage endometrial and cervical cancer.
Surveillance Breast MRI Associated with Lower Risks of Advanced Second Breast Cancers
January 8th 2025After propensity score matching in a study of over 3,000 women with a personal history of breast cancer, researchers found that surveillance breast MRI facilitated a 59 percent lower risk in advanced presentations of second breast cancers.
New Survey Explores Radiologist and Neurologist Comfort Level with AI Triage for Brain MRI
January 7th 2025Survey results revealed that 71 percent of clinicians preferred adjunctive AI in facilitating triage of brain MRI scans and 58 percent were comfortable utilizing AI triage without input from radiologists.