The RSNA meeting always showcases the particular benefits MRI brings to the healthcare enterprise, and this year will be no exception. One of the modality's exciting growing edges is cardiac imaging, and attendees can expect to hear a broad range of research on the topic, from how real-time MRI can be combined with deep learning to assess cardiac volumetry and how it can help clinicians "map" the effects of stroke, to using 7-tesla MRI to evaluate ventricular structure and function in patients with high blood pressure and identifying myocarditis after COVID-19 vaccination.
Along with cardiac imaging, other MRI themes at the RSNA will include the use of AI with the modality (for example, the combination appears to reduce breast MRI contrast dose); implementing faster protocols for quicker scans and lower healthcare costs; and exploring whether low-field MRI (that, is, 0.55-tesla) is as clinically useful as conventional 1-tesla and 3-tesla systems for applications ranging from point-of-care MRI for critically ill patients to lumbar spine visualization. Another big theme for MRI at the meeting will be its use in women's imaging: look for research on how DWI-MRI in particular shows promise as an additional breast cancer screening tool and as a way to predict women's response to cervical cancer treatment.
MRI is a workhorse when it comes to neuroradiology, and attendees will get the scoop on how the modality can reveal the effects of type 2 diabetes on the brain; characterize the progression of Alzheimer's and Parkinson's disease; screen and triage patients with suspected cerebrospinal fluid (CSF) disorders; and help diagnose amyotrophic lateral sclerosis (or ALS -- formerly known as Lou Gehrig's disease).
For more information on the presentations we're highlighting below and other abstracts, take a look at the RSNA 2023 meeting program.
DWI-MRI shows success as supplemental breast imaging tool
Sunday, November 26 | 11 a.m.-11:10 a.m. | S2-SSBR01-4 | Room S401
In this session, researchers will demonstrate how diffusion-weighted imaging MRI (DWI-MRI) could be a useful supplemental screening tool in breast imaging.
MRI illuminates gray-matter changes in diabetic patients
Sunday, November 26 | 1:00 p.m.-1:10 p.m. | S4-SSNR01-1| Room E351
MRI shows that people with type 2 diabetes experience a reduction of gray matter, particularly in the basal ganglia, as the disease progresses, according to a study to be presented Sunday afternoon.
Use MRI volumetric analysis to track effects of Parkinson's disease
Sunday, November 26 | 1:00 p.m.-1:10 p.m. | S4-SSNR02-1 | Room E352
In this scientific session, researchers will share how MRI volumetric analysis based on a deep-learning segmentation algorithm can help clinicians assess intracranial and white matter volumes in Parkinson's disease patients.
Fetal MRI can detect genetic syndromes
Sunday, November 26 | 3:10 p.m.-3:20 p.m. | S5-SSOB01 | Room N229
In this session, fetal MRI’s role in detecting genetic syndromes will be explored, including how atypical temporal lobe asymmetry could be a soft marker for an underlying genetic condition.
Men with diabetes carry more brain plaque load than women
Tuesday, November 28 | 10:10 a.m.-10:20 a.m. | T3-SSNR07-5 | Room S405
In this scientific session, presenters will share results from a study that found that men with type 2 diabetes carry more brain plaque burden than women.
How does low-field MRI compare to standard for lumbar spine imaging?
Tuesday, November 28 | 5:20 p.m.-5:30 p.m. | T8-SSNR09-5 | Room N227B
Low-field MRI produces comparable diagnostic quality images for lumbar spine imaging compared with a standard MRI field strength, according to study results to be presented Tuesday afternoon.
AI can enable lower breast MRI contrast dose
Wednesday, November 29 | 9:40 a.m.-9:50 a.m. | W3-SSBR08-2 | Room S406A
A deep learning-based technique could pave the way for lower doses of gadolinium-based contrast agents (GBCAs) in breast MRI, according to this presentation.
Fast MRI shows promise for more accurate brain diagnoses
Wednesday, November 29 | 9:30 a.m.-9:40 a.m. | W3-SSNR10-1| Room E353C
In this scientific session, researchers will present study findings that suggest that a deep learning-based fast MRI reconstruction model improves the efficiency and quality of brain MRI exams in both spin-echo and gradient-echo sequences.
How viable is point-of-care MRI?
Wednesday, November 29 | 3:40 p.m.-3:50 p.m. | W7-SSNR12-5 | Room E353B
Is point-of-care MRI a viable tool for critically ill patients? The answer is yes, according to research to be presented Wednesday afternoon.
Brain MRI biomarkers show promise for CSF disorder screening
Wednesday, November 29 | 3:10 p.m.-3:20 p.m. | W7-SSNR13-2 | Room E353C
In this scientific session, investigators will present data that suggest that brain MRI biomarkers can play an important role in the screening, triaging, and referral of patients with suspected cerebrospinal fluid (CSF) disorders.
Gadoquatrane performs at lower dose than gadobutrol for contrast MRI
Wednesday, November 29 | 3:30 p.m.-3:40 p.m. | W7-SSNR13-4 | Room E353C
Gadoquatrane lowers the gadolinium dose by 60% compared to current standard of care macrocyclic gadolinium-based contrast agents for central nervous system contrast-enhanced MR imaging, according to this Wednesday afternoon talk.
DWI-MRI improves treatment response prediction for cervical cancer
Thursday, November 30 | 3:10 p.m.-3:20 p.m. | R1-SSRO04-6 | Room S502
In this presentation, researchers will demonstrate how diffusion-weighted imaging MRI (DWI-MRI) may enhance chemoradiotherapy response prediction of early treatment timepoints for cervical cancer.
