Clinical News: Page 373

Short echo pulmonary MRI effective for Lung-RADS classification

By Kate Madden Yee

Prerecorded, available throughout the meeting | SPR-CH-26Pulmonary MRI with an ultrashort echo time matches the performance of standard- or reduced-dose CT for Lung-RADS classification on lung cancer screening, Japanese investigators have found.

November 23, 2021

Short MRI comparable to CT for assessing interstitial lung disease

By Kate Madden Yee

Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSCH06-5 | Room S405Two ultrashort echo time MRI sequences are comparable to CT when it comes to assessing interstitial lung disease in patients with systemic sclerosis, according to this presentation.

November 23, 2021

Deep learning boosts spine MRI performance

By Kate Madden Yee

Wednesday, December 1 | 8:00 a.m.- 9:00 a.m. | SSNR11-2 | Room E351Adding deep learning to spine MRI improves image quality, which may translate to better patient experiences and imaging efficacy, according to study results to be shared at the RSNA meeting.

November 23, 2021

Cost-effectiveness study highlights MRI's value for prostate cancer biopsy

By Kate Madden Yee

Tuesday, November 30 | 3:00 p.m.- 4:00 p.m. | SSGU04-1 | Room E353CIn this Tuesday presentation, Dutch researchers will share findings from a study they conducted to explore the most cost-effective MRI biopsy strategy for men with suspected prostate cancer.

November 23, 2021

Is cardiac MRI necessary for following up young athletes after COVID-19?

By Kate Madden Yee

Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSCA04-4 | Room S402Is cardiac MRI necessary for assessing the heart health of young athletes after they have recovered from COVID-19? In this Monday afternoon session, researchers will share findings from a study conducted to explore the question.

November 23, 2021

Persistent COVID-19 symptoms don't necessarily translate to heart injury

By Kate Madden Yee

Monday, November 29 | 3:00 p.m.- 4:00 p.m. | SSCA04-1 | Room S402A team of researchers in Germany has found that patients who have chronic "COVID-19 syndrome" -- a condition that manifests in fatigue and labored breathing -- do not necessarily have myocardial injury and inflammation, according to study results to be presented on Monday afternoon.

November 23, 2021

Can dental images help prevent strokes?

By Melissa Busch

Dental surgeons and oral radiologists may be able to detect a serious condition that can cause a stroke as an incidental finding on images taken prior to dental treatment, according to a study published on November 17 in the European Journal of Radiology.

November 23, 2021

Road to RSNA 2021: MRI Preview

By Kate Madden Yee

MRI technology was launched into the world of imaging 50 years ago. In the decades since, the modality has become a key part of patient care. RSNA attendees will have numerous opportunities to learn about the benefits of MRI.

November 23, 2021

PET/MRI shows prowess for nodal staging in breast cancer

By Amerigo Allegretto

Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01-4 | Room N226In this presentation, researchers will compare nodal staging between CT, MRI, and FDG-PET/MRI in patients with newly diagnosed breast cancer.

November 23, 2021

Can cooled RF ablation relieve post-knee replacement pain?

By Erik L. Ridley

Cooled radiofrequency (RF) ablation procedures can relieve pain that persists following total knee replacement, according to new research being presented at the RSNA 2021 meeting in Chicago.

November 22, 2021

MRI scans show how autism affects young brains over time

By Kate Madden Yee

Researchers from Yale University have found that autism affects the microstructure of white matter in the brains of adolescents and young adults over time as indicated on MRI scans. The study results are being presented at the upcoming RSNA 2021 meeting.

November 22, 2021

Median promotes new lung cancer screening results

By AuntMinnie.com staff writers

Median Technologies is highlighting clinical results that show that its iBiopsy lung cancer screening deep-learning algorithm has a sensitivity of 93.1% and a specificity of 96.2% for characterizing lung nodules on low-dose chest CT.

November 22, 2021

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