We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Coronary CTA Using DLR and Subtraction Technique Reduces Radiation Exposure, Improves Image Quality

By MedImaging International staff writers
Posted on 12 Aug 2022
Print article
Image: Deep learning, subtraction technique has been found optimal for coronary stent evaluation by CTA (Photo courtesy of Pexels)
Image: Deep learning, subtraction technique has been found optimal for coronary stent evaluation by CTA (Photo courtesy of Pexels)

Coronary CTA with hybrid iterative reconstruction (HIR) is prone to false-positive results for in-stent restenosis due to stent-related blooming artifact. Now, a new study has found that the combination of deep-learning reconstruction (DLR) and a subtraction technique yielded optimal diagnostic performance for the detection of in-stent restenosis by coronary CTA.

The study was conducted by researchers at Peking Union Medical College Hospital (Beijing, China) to assess the impact of DLR, subtraction images, and combination of DLR and subtraction images on diagnostic performance of coronary CTA for detection of in-stent restenosis. Between March 2020 and August 2021, the research team studied 30 patients (22 men, 8 women; mean age, 63.6 years) with a total of 59 coronary stents who underwent coronary CTA using the two-breath-hold technique (i.e., non-contrast and contrast-enhanced acquisitions). Conventional and subtraction images were reconstructed for hybrid iterative reconstruction (HIR) and DLR, while maximum visible in-stent lumen diameter was measured. Two readers independently evaluated images for in-stent restenosis (≥50% stenosis). A simulated assessment of combined conventional and subtraction images was generated, reflecting assessment of conventional and subtraction images in the presence or absence of severe misregistration artifact, respectively. Invasive angiography served as reference standard.

The researchers found that ultimately, coronary CTA using DLR and subtraction technique - with a combined (conventional and subtraction images) interpretation - yielded PPV, NPV, and accuracy for in-stent restenosis for reader 1 of 73.3%, 93.2%, and 88.1%, and for reader 2 of 75.0%, 84.3%, and 83.1%, respectively. Noting that these findings could guide patient selection for invasive coronary stent evaluation, combining DLR with a two-breath-hold subtraction technique “may help overcome challenges related to stent-related blooming artifact,” according to corresponding author Yi-Ning Wang. Acknowledging that the two-breath-hold subtraction technique requires an additional non-contrast acquisition (and thus a higher radiation dose), “DLR allows a reduction in radiation exposure, while improving image quality,” wrote the authors.

Related Links:
Peking Union Medical College Hospital 

Print article
Sun Nuclear -    Mirion



view channel
Image: The FDA has cleared the CSA system with Dynamic Digital Radiography (Photo courtesy of 20/20 Imaging)

Advanced Digital X-Ray System Allows Clinicians to Capture and Visualize Anatomy in Motion

Dynamic Digital Radiography (DDR) is a revolutionary X-ray technology that enables the visualization of anatomy in motion, so clinicians can interpret the dynamic interaction of anatomical structures,... Read more


view channel
Image: EG-740UT ultrasound endoscope combined with ARIETTA 850 provides outstanding ultrasound image quality (Photo courtesy of FUJIFILM)

Next-Gen Ultrasound Endoscope Enables Complex Diagnostic and Therapeutic Procedures

Endoscopic ultrasound is a specialist procedure performed utilizing an endoscope equipped with an ultrasonic transducer which emits and receives ultrasonic waves within the gastrointestinal tract, such... Read more

Imaging IT

view channel

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.