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Musculoskeletal Radiology: Page 42
Is 3D MRI or 3D CT best for assessing hip joints?
By
Abraham Kim
Sunday, November 25 | 10:45 a.m.-10:55 a.m. | SSA15-01 | Room E353B3D virtual models based on pelvic MRI scans can facilitate presurgical planning for hip joint surgery about as well as 3D CT models can, according to researchers from Switzerland.
November 5, 2018
Use SWE to track patellar tendinopathy in athletes
By
Kate Madden Yee
Tuesday, November 27 | 3:50 p.m.-4:00 p.m. | SSJ16-06 | Room E353BShear-wave elastography (SWE) works better than conventional ultrasound for tracking athletes with patellar tendinopathy, or "jumper's knee," researchers from New York City have found.
November 4, 2018
Can ferumoxytol MRI detect joint infiltration in pediatric cancer?
By
Wayne Forrest
Monday, November 26 | 3:30 p.m.-3:40 p.m. | SSE21-04 | Room E353BThe MRI contrast agent ferumoxytol might serve as an indicator of the infiltration of cancer into the joints of pediatric cancer patients, according to this pilot study.
October 30, 2018
AI algorithm can triage suspected spine fracture cases
By
Erik L. Ridley
Tuesday, November 27 | 10:50 a.m.-11:00 a.m. | SSG08-03 | Room S102CDA team of researchers from California found that an artificial intelligence (AI) algorithm can assess for the presence of spine fractures on CT exams, serving as a triage tool in the acute trauma setting.
October 28, 2018
AI enables CT screening for osteoporosis fracture risk
By
Erik L. Ridley
Monday, November 26 | 3:00 p.m.-3:10 p.m. | SSE14-01 | Room E353CArtificial intelligence (AI) algorithms could enable screening for the risk of osteoporosis-attributed bone fracture by analyzing CT scans that are already being performed for other purposes, according to researchers from Switzerland.
October 28, 2018
DeepSpine AI enhances grading of lumbar spinal stenosis
By
Erik L. Ridley
An artificial intelligence (AI) algorithm called DeepSpine can assist radiologists in the time-consuming and difficult task of grading spinal stenosis on lumbar spine MRI exams, according to researchers from the Massachusetts General Hospital and Brigham and Women's Hospital Center for Clinical Data Science in Boston.
October 11, 2018
Prestige adds digital x-ray at hockey arena
By
AuntMinnie.com staff writers
Imaging technology and services provider Prestige Medical Imaging has completed the installation of a DRX-Revolution mobile digital x-ray system from Carestream Health at Nationwide Arena in Columbus, OH.
October 10, 2018
3D printing boosts efficiency of rib fracture repair
By
Abraham Kim
Researchers from Taiwan have created 3D-printed models of rib structures based on chest CT scans to facilitate presurgical planning for rib fracture stabilization. The technique led to reductions in operating time and length of surgical incisions, according to an article recently published online in
PLOS One
.
October 10, 2018
Do inpatient body MRI scans prove their worth?
By
Wayne Forrest
An internal review of inpatient body MRI scans by clinicians at Beth Israel Deaconess Medical Center showed room for improvement in a number of key performance areas, according to a study published online September 24 in the
American Journal of Roentgenology
.
September 30, 2018
How can radiology regain control of MSK ultrasound?
By
Kate Madden Yee
Radiology is losing control of musculoskeletal (MSK) ultrasound. But the situation could be turned around if radiology programs use residents to train others in the performance and interpretation of MSK ultrasound scans, according to a study published online September 19 in
Academic Radiology
.
September 25, 2018
3D-printed device aids knee replacement surgery
By
Abraham Kim
How might 3D-printed knee jigs help improve the quality of total knee replacement surgery? Researchers from India discussed the benefits of using these patient-specific models for the task in a review article published in the most recent issue of the
Journal of Clinical Orthopaedics and Trauma
.
September 16, 2018
AI can distinguish between types of spondylitis on MRI
By
Erik L. Ridley
An artificial intelligence (AI) algorithm can differentiate between tuberculous spondylitis and pyogenic spondylitis on MRI at a level comparable to that of experienced musculoskeletal radiologists, according to research published online September 3 in
Scientific Reports
.
September 9, 2018
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