RSNA 2021 CT Preview

Road to RSNA 2021: CT Preview

By Kate Madden Yee, staff writer
November 18, 2021

CT is a dynamic imaging modality that's used for a range of applications and, thus, is a key part of the healthcare enterprise. At this year's RSNA meeting, CT will be featured in a variety of sessions that tackle everything from how to incorporate artificial intelligence (AI) into CT imaging to the development of new technologies such as photon-counting CT, as well as how to reduce healthcare disparities and boost compliance with CT lung cancer screening.

On the AI side, the RSNA will host a refresher course about deep learning in CT imaging, offering attendees a primer on how it can be used for image reconstruction and correcting artifacts, along with tips on avoiding AI pitfalls. Also look for scientific sessions that describe how deep learning can be applied in particular CT applications, such as quantifying hepatic steatosis.

Photon-counting CT is the modality's newest frontier. In contrast to the existing CT method that measures the energy of many x-rays at once, photon-counting CT tracks individual x-ray photons as they pass through the patient. Researchers hope that the technique will boost the signal-to-noise ratio, slash radiation doses, and improve spatial resolution. The first photon-counting CT scanner was cleared for marketing in the U.S. in September, and the technology is sure to be a topic of conversation in the halls of McCormick Place.

An important issue in healthcare now is equity in care. Look for an educational session sponsored by the RSNA's research development committee that will deliver a briefing on health equity and disparities research, exploring topics such as epidemiology, community-based research, and the effect of digital healthcare tools. The goal is to help radiologist researchers develop programs and interventions that are effective in a diverse population of patients and also boost health outcomes among those who may not be getting the care they need.

Finally, attendees will be privy to active discussion about lung cancer screening, prompted not only by a return to screening protocols post-COVID-19 but also revised guidelines released in March by the U.S. Preventive Services Task Force that expanded the pool of people eligible for screening. Look for a refresher course that will update attendees on the new recommendation, set it in context, and offer suggestions for how to reduce risks associated with CT screening. The RSNA is also holding an educational session on how to boost patient adherence to lung cancer screening via shared decision-making -- which the U.S. Centers for Medicare and Medicaid Services mandated in 2015.

In addition to flagging these CT topics, we're highlighting a number of scientific abstracts for your perusal as you prepare for the conference. If you're interested in the complete catalog of scientific abstracts and educational programs, check out the RSNA 2021 meeting program.

AI differentiates colorectal polyps on CT colonography
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSGI01-4 | Room S404
This proof-of-concept study will demonstrate the potential for artificial intelligence (AI) technology to differentiate colorectal polyps spotted on CT colonography exams.
Reduced CT dose effective for imaging pediatric cancer patients
Sunday, November 28 | 2:30 p.m.-3:00 p.m. | SSPD02-2 | Room TBA
Cincinnati Children's Hospital researchers have found that CT with a reduced radiation dose identifies with high specificity more than 90% of lung nodules in children with cancer.
Algorithm helps monitor HCC treatment response
Monday, November 29 | 9:30 a.m.-10:30 a.m. | SSGI06-5 | Room TBA
A deep learning-based software application can improve the objectivity of treatment response evaluation in patients with hepatocellular carcinoma (HCC), according to this presentation.
Can AI help guide management of COVID-19 patients?
Monday, November 29 | 1:30 p.m.-2:30 p.m. | SSPH05-2 | Room TBA
In this session, researchers will discuss the potential of artificial intelligence (AI) for supporting treatment decisions in COVID-19 patients.
Coronary stenosis algorithm bolsters reproducibility
Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSCA04-2 | Room TBA
Coronary stenosis evaluation on coronary CT angiography can be improved with the assistance of an artificial intelligence algorithm, according to this presentation.
Photon-counting CT makes modality more effective for breast imaging
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSPH09-5 | Room TBA
In this Tuesday morning presentation, research findings will show how high-resolution photon-counting CT used with deep-learning image processing can expand the modality's role in breast cancer imaging.
Breast volume helps determine radiation dose for spiral breast CT
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSPH09-1 | Room TBA
Radiation dose for a novel spiral breast CT scanner can be determined by measuring breast volume, according to this presentation.
Vaping shows up as findings on patients with acute lung injury
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSCH04-4 | Room TBA
It's important to include vaping history when treating patients presenting with acute lung injury -- especially if they are young and appear healthy, according to research to be presented on Tuesday.
Deep learning identifies CT biomarkers that help diagnose type 2 diabetes
Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSGI11-3 | Room TBA
Deep learning identifies CT biomarkers that help detect and predict type 2 diabetes in patients undergoing CT for other indications, according to findings being shared Wednesday morning.
Deep-learning algorithm triages emergency head CTs
Wednesday, December 1 | 1:30 p.m.-2:30 p.m. | SSMS05-3 | Room TBA
A deep-learning algorithm trained on only normal head CT exams can triage emergency cases for priority review by radiologists, according to this presentation.
Are minority patients getting the colon cancer screening they need?
Wednesday, December 1 | 3:00 p.m.-3:30 p.m. | SSGI14-3 | Room TBA
The use of CT colonography in the U.S. remains low, and this may translate into substandard screening for minority patients, according to a team led by Dr. Anand Narayan, PhD, of the University of Wisconsin-Madison.
Community radiology well-placed to offer smoking cessation support
Thursday, December 2 | 8:00 a.m.-9:00 a.m. | SSCH08-3 | Room TBA
New CT lung cancer screening guidelines released this year will increase the number of individuals getting screened -- and offer radiologists more opportunity to collaborate with health specialists on smoking cessation efforts, according to study results to be presented Thursday morning.
Interval chest CT can set timing of lung cancer screening follow-up
Thursday, December 2 | 8:00 a.m.-9:00 a.m. | SSCH08-4 | Room TBA
In individuals undergoing lung cancer screening, interval diagnostic chest CT findings show promise for setting the timing of subsequent lung cancer screening CT follow-up exams.
Abbreviated whole-body CT effective for coping with mass-casualty events
Prerecorded, available throughout meeting | SPR-MS-13
Using an abbreviated whole-body trauma CT protocol is an effective way to streamline imaging in a mass-casualty event when emergency rooms may be swamped, researchers have found.
How does low-dose CT compare with x-ray for diagnosing lung disease?
Prerecorded, available throughout meeting | SPR-MS-9
In this session, researchers from Amsterdam University Medical Center in the Netherlands will offer insight into the pros and cons of using ultralow-dose CT compared to x-ray to diagnose nontraumatic pulmonary disease in emergency department patients.