News | Lung Imaging | July 13, 2022

Initial results from clinical trial on lung lesion detection will be presented at ECR 2022 

KA Imaging, a company that develops innovative X-ray imaging solutions, announced the initial results from a study examining the diagnostic value of single-exposure dual-energy subtraction radiography in lung lesion detection

July 13, 2022 — KA Imaging, a company that develops innovative X-ray imaging solutions, announced the initial results from a study examining the diagnostic value of single-exposure dual-energy subtraction radiography in lung lesion detection. 

In the study, a radiologist blinded to standard-of-care CT results was first asked to identify anomalies in the conventional X-ray. The same task was given right after that, with supplemented single-exposure dual-energy images. Quoting directly from the poster, “lesion visibility reportedly increased in 45% of the cases when supplemental dual-energy images were included1.” Findings were validated using CT. 

“Lung cancer is the leading cause of cancer death; unfortunately, statistics show that it is rarely detected early,” explains Karim S. Karim, CTO of KA Imaging. “The promising results from this trial show that spectral images can play an important role in earlier detection for better outcomes,” says Amol Karnick, President and CEO. 

The study will be presented in an e-poster at this year’s European Congress of Radiology (ECR). In addition to the e-poster at the scientific congress, KA Imaging is part of the technical exhibition at Expo X4, booth 406. 

ECR is one of the largest medical meetings in Europe and the second-largest radiological meeting in the world. ECR attendees span all areas of the radiology arena including radiology professionals, radiographers, physicists, industry representatives, and press reporters for both the medical and consumer press. 

Recently, KA Imaging announced that its patented single-exposure dual-energy technology is now branded SpectralDR. The SpectralDR technology enables dual-energy subtraction, providing bone and tissue differentiation with a single standard X-ray exposure. It acquires three images simultaneously (DR, bone and soft tissue dual-energy X-ray images). The technology mimics the workflow, dose and techniques of state-of-the-art mobile DR X-ray detectors. 

For more information: www.kaimaging.com 

Find more ECR22 coverage here


Related Content

News | Artificial Intelligence

Sept. 13, 2024 — Bayer Calantic Digital Solutions has announced the availability of a new eBook that addresses how ...

Time September 12, 2024
arrow
News | Computed Tomography (CT)

At the annual AHRA (American Healthcare Radiology Administrators) conference in Orlando, Florida, Bayer announced an ...

Time August 09, 2024
arrow
Videos | Radiology Business

Find actionable insights to achieve sustainability and savings in radiology in this newest of ITN’s “One on One” video ...

Time July 30, 2024
arrow
News | Radiology Business

July 25, 2024 — Immunis, Inc., a clinical-stage biotech developing groundbreaking secretome therapeutics for age and ...

Time July 25, 2024
arrow
News | Radiopharmaceuticals and Tracers

July 24, 2024 — Telix Pharmaceuticals Limited announced that the United States (U.S.) Food and Drug Administration (FDA) ...

Time July 24, 2024
arrow
News | RSNA

July 23, 2024 — Professional registration is open for RSNA 2024, the world’s largest radiology forum. This year’s theme ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 22, 2024 — Healthcare artificial intelligence (AI) systems provider, Qure.ai, has announced its receipt of a Class ...

Time July 22, 2024
arrow
News | Digital Radiography (DR)

July 18, 2024 — At the Annual Meeting of AHRA (the Association for Medical Imaging Management), Agfa Radiology Solutions ...

Time July 18, 2024
arrow
News | PET-CT

July 16, 2024 — A new research paper was published in Oncotarget's Volume 15 on June 20, 2024, titled, “Comparison of ...

Time July 16, 2024
arrow
News | Prostate Cancer

July 11, 2024 — GE HealthCare’s MIM Software, a global provider of medical imaging analysis and artificial intelligence ...

Time July 11, 2024
arrow
Subscribe Now