RSNA 2019 Digital X-Ray Preview

Road to RSNA 2019: Digital Radiography Preview

By Wayne Forrest, contributing writer
November 13, 2019

While advances in hybrid imaging and other cutting-edge modalities seem to get all the attention, digital radiography (DR) maintains its solid foundation of diagnostic support for imaging centers, emergency departments, outpatient clinics, and mobile operations worldwide.

Based on the myriad of presentations scheduled for RSNA 2019, DR arguably might be the modality that will benefit most from artificial intelligence (AI) and deep-learning algorithms. As DR-specific applications are tested and validated, radiologists could soon turn to AI to generate clinically relevant x-ray reports, diagnose fractures and other ailments throughout the body, visualize motion, and increase the accuracy of their readings.

AI also is expected to significantly reduce the time and effort it takes for some of the tasks that are necessary but tedious and time-consuming with digital radiography, such as double reading and confirming normal results.

Beyond AI, researchers continue to explore hardware improvements in DR systems and develop new technologies to sharpen image quality and shorten exam and procedure times. Attendees will get to see the early stages of a new DR approach called dark-field x-ray, which targets lung imaging. In addition, a proposed reconfiguration of flat-panel detectors could solve current deficiencies in dual-energy DR. Researchers will also present information on some simple adjustments in DR device setup and function that can greatly improve C-arm images.

These upgrades and other strategies can go a long way in further reducing patient exposure to radiation during radiography/fluoroscopy (R/F) exams and fluoroscopically guided interventional procedures, which emit some of the highest doses. Details on how to work with less contrast with no degradation of image quality will be presented as well.

Today's DR also spreads beyond the traditional walls of hospital departments and imaging centers. Several presentations at RSNA 2019 will show how virtual private networks and teleradiology give the modality a critical healthcare presence for patients in need in more remote settings.

With the 105th annual meeting of RSNA just 17 days away, here is a sampling of the hundreds of worthwhile digital radiography and x-ray scientific presentations, posters, refresher courses, and educational exhibits that are available during the conference. A full listing of all the events with their times and locations can be found through the RSNA 2019 meeting program.

Scientific and Educational Presentations
What's the dose from fluoroscopically guided procedures?
Sunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA20-01 | Room E351
Fluoroscopically guided interventional radiology procedures are known to deliver the highest radiation dose among all imaging exams. The question is: How much dose does a patient receive from one or multiple procedures?
Cathode temperature matters in x-ray imaging
Sunday, December 1 | 11:05 a.m.-11:15 a.m. | SSA20-03 | Room E351
Does a hot or cold cathode source in your mini C-arm offer the best x-ray image quality? South Korean researchers compared x-ray images acquired with carbon nanotube-based cold cathode and tungsten-based hot cathode ceramic tubes in a portable mini C-arm fluoroscopy system, and they will discuss their findings in this Sunday presentation.
Shiver me timbers! There's digital radiography on board!
Sunday, December 1 | 11:35 a.m.-11:45 a.m. | SSA06-06 | Room N227B
When your cruise to paradise is interrupted with a medical emergency, teleradiologists are on standby to read your radiographs -- in Germany.
Radiography dominates urgent care imaging
Sunday, December 1 | 11:45 a.m.-11:55 a.m. | SSA06-07 | Room N227B
When urgent care personnel need imaging to diagnose a patient's ailment, radiography is often the modality of choice, according to this Sunday morning presentation.
Charting radiation dose for mobile C-arms and R/F suites
Sunday, December 1 | 11:55 a.m.-12:05 p.m. | SSA20-08 | Room E351
In this session, researchers will discuss how facilities must document radiation dose from their mobile C-arms and radiography/fluoroscopy (R/F) suites as part of the accreditation process.
A quick, efficient way to spot normal chest x-rays
Sunday, December 1 | 1:00 p.m.-1:30 p.m. | AI261-SD-SUB2 | Lakeside, AI Community, Station 2
Are you looking for an efficient way to identify normal chest x-rays with high sensitivity, save your radiologists time, and expedite the generation of reports? The findings from this study could help.
Deep learning adds to chest x-ray diagnoses
Monday, December 2 | 11:00 a.m.-11:10 a.m. | SSC08-04 | Room E450A
Deep-learning algorithms can help radiologists accurately diagnose abnormalities in chest x-rays and improve their performance, according to this Monday presentation.
How to handle chest x-rays for pneumothorax
Monday, December 2 | 11:10 a.m.-11:20 a.m. | SSC04-05 | Room S102CD
What's the best approach with chest radiography to detect air between the lungs and chest wall that could result in a collapsed lung? Researchers from Boston explored three options.
Bone density tests have a friend in deep learning
Monday, December 2 | 11:50 a.m.-12:00 p.m. | SSC09-09 | Room E450B
The potential for deep learning to objectively estimate bone mineral density on standard chest x-rays is the focus of this Monday presentation.
Can AI generate clinically appropriate x-ray reports?
Tuesday, December 3 | 11:40 a.m.-11:50 a.m. | SSG06-08 | Room S406A
Artificial intelligence (AI) has the potential to produce standardized, accurate x-ray reports in a timely manner that are easy to comprehend in the clinical setting, according to a study to be presented on Tuesday.
AI algorithm helps with x-ray rib fracture results
Tuesday, December 3 | 11:50 a.m.-12:00 p.m. | SSG08-09 | Room E451A
In this presentation, researchers will offer details on an artificial intelligence (AI) algorithm that could help radiologists detect rib fractures using conventional frontal x-rays and also function as a second reader for missed fractures.
New flat-panel detector could improve dual-energy imaging
Tuesday, December 3 | 3:20 p.m.-3:30 p.m. | SSJ21-03 | Room N228
A novel triple-layer flat-panel digital detector design could solve current deficiencies in dual-energy digital radiography, researchers from Canada will report in this Tuesday afternoon session.
Introducing dark-field x-ray for lung imaging
Wednesday, December 4 | 10:40 a.m.-10:50 a.m. | SSK19-02 | Room E353B
Dark-field x-ray imaging is a new technology designed to visualize the alveolar structure of lung tissue. The dark-field signal is generated by coherent small-angle x-ray scattering, which does not create contrast in the conventional transmission x-ray image, according to researchers.
Digital variance angiography aids peripheral interventions
Wednesday, December 4 | 12:45 p.m.-1:15 p.m. | VI271-SD-WEB5 | Lakeside, VI Community, Station 5
A patented x-ray image processing method known as digital variance angiography can significantly improve the image quality of x-ray angiograms, compared with digital subtraction angiography, according to research to be presented on Wednesday.
Abnormal chest x-rays could use this classifier
Wednesday, December 4 | 3:20 p.m.-3:30 p.m. | SSM14-03 | Room E353C
In this presentation, researchers from the U.S. National Institutes of Health will provide details on their work to develop an artificial intelligence method to automatically determine abnormalities on chest radiographs.
AI can help reduce errors in chest x-ray reads
Wednesday, December 4 | 3:30 p.m.-3:40 p.m. | SSM15-04 | Room E353B
With the help of artificial intelligence (AI), imaging centers can reduce radiologists' errors and improve quality assurance in chest x-ray interpretations and report generation, researchers will report in this Wedneday afternoon session.
DICOM can still help improve digital radiography
Thursday, December 5 | 11:40 a.m.-11:50 a.m. | SSQ11-08 | Room N229
Clinical DICOM headers contain a wealth of information that imaging centers can use to optimize image quality and improve digital radiography equipment utilization, according to researchers from the Mayo Clinic.
X-ray angiography approach succeeds with less contrast
Friday, December 6 | 11:40 a.m.-11:50 a.m. | SST07-08 | Room E353A
Could digital variance angiography be a way for clinicians to use less iodinated contrast in carotid x-ray angiography procedures with the same diagnostic results? Researchers from Budapest conducted a study to find out.