Musculoskeletal Radiology: Page 52

Appropriate use criteria meet MRI lumbar scans

By Wayne Forrest

Monday, November 27 | 3:10 p.m.-3:20 p.m. | SSE18-02 | Room N229Whether an MRI scan of the lumbar spine is appropriate for cases of back pain greatly depends on information provided by the requesting clinician at the time of order entry, according to this study from researchers at multiple U.S. imaging centers.

October 31, 2017

5-minute MRI protocol can be effective for knee scans

By Wayne Forrest

Sunday, November 26 | 11:25 a.m.-11:35 a.m. | SSA14-05 | Room S406AHow does the diagnostic performance of a five-minute knee MRI protocol compare with that of a standard knee MRI protocol? Dr. Erin Alaia, a musculoskeletal radiologist at NYU Langone Health in New York City, will share the answer in this presentation.

October 31, 2017

MRI shows football position, career length affect the brain

By Wayne Forrest

MRI scans of 61 former college and professional football players have found that damage to their brains from recurrent hits can vary based on their position on the field and the length of their careers, according to a study published online October 31 in Radiology.

October 30, 2017

ACR's R-SCAN helps cut inappropriate lumbar spine MRI scans

By Erik L. Ridley

Tuesday, November 28 | 10:50 a.m.-11:00 a.m. | SSG06-03 | Room S104BIn this session, researchers will share how they used the American College of Radiology (ACR) Radiology Support, Communication, and Alignment Network (R-SCAN) to address inappropriate utilization of lumbar spine MRI in patients with lower back pain.

October 29, 2017

Data mining may help spot patients with fracture risk

By Erik L. Ridley

Monday, November 27 | 11:20 a.m.-11:30 a.m. | SSC09-06 | Room E450BIn this scientific presentation, researchers from Switzerland will share how their PACS data-mining software shows potential for identifying patients at risk of osteoporotic fractures.

October 29, 2017

US useful for gauging muscle changes in ICU patients

By Kate Madden Yee

Using ultrasound to evaluate changes to the skeletal muscles after trauma may help physicians predict how patients will do once they have been released from the intensive care unit (ICU), according to a study published online October 6 in Annals of Intensive Care.

October 18, 2017

Deep learning can enable quantitative MRI for arthritis

By Erik L. Ridley

A deep-learning algorithm can accurately segment knee MRI scans and extract quantitative data in seconds, potentially helping radiologists to easily provide clinicians with valuable data for diagnosing, assessing, and treating osteoarthritis, according to a team from the University of California, San Francisco.

October 15, 2017

Neiman receives NIH grant for musculoskeletal research

By AuntMinnie.com staff writers

The Harvey L. Neiman Health Policy Institute has received a five-year grant for $3.7 million from the U.S. National Institutes of Health (NIH) to support musculoskeletal clinical research.

October 11, 2017

Konica Minolta brings ultrasound to physiatrists

By AuntMinnie.com staff writers

Konica Minolta Healthcare Americas will sponsor educational ultrasound workshops for physiatrists in physical medicine and rehabilitation at this week's American Academy of Physical Medicine and Rehabilitation annual meeting in Denver.

October 9, 2017

Digital tomo refines postoperative imaging of hand fractures

By Abraham Kim

The proper installation of orthopedic hardware in the hand and wrist after surgery is usually confirmed with digital radiography. But digital tomosynthesis may further enhance visualization around such implants, according to research published online September 11 in Clinical Radiology.

September 24, 2017

AI algorithm speeds up assessment of bone age

By Erik L. Ridley

Estimating patient age on radiographs can be a little burdensome for radiologists and subject to high interreader variability. Artificial intelligence (AI) can make this task easier, however, by analyzing data from skeletal radiographs, according to research published online September 12 in the American Journal of Roentgenology.

September 13, 2017

AI algorithm can classify bone lesions on PET/CT images

By Erik L. Ridley

An artificial intelligence (AI) algorithm can reliably classify benign and malignant bone lesions on F-18 sodium fluoride PET/CT images, showing promise for automating a time-consuming and subjective process for nuclear medicine physicians, according to a research team from the University of Wisconsin in Madison.

September 6, 2017

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