X-ray

Medical X-rays have mostly converted from film, to computed radiography (CR) that used individual plates to record each X-ray digitally that then had to be uploaded into a PACS, to what is the standard-of-care today with digital radiography (DR). DR X-ray which allows immediate digital transfer of images into a PACS for immediate review. X-rays are used to diagnose fractures, bone abnormalities, lung pathologies and tumors, as well as monitor pediatric growth, plan for surgery and treat oncology patients during radiation therapy. More detailed anatomical imaging, especially soft tissue imaging, is usually sent for advanced imaging with CT or MRI. X-ray, especially mobile DR systems, are a primary use case for artificial intelligence (AI) integration. 

The Nanox ARC cold-cathode, tomosynthesis 3D X-ray system is currently pending FDA clearance. If cleared, it would be the first device of its kind to offer cold-cathode X-ray tube technology and the ability to slice through the anatomy in images similar to CT scans to aid diagnosis. The new type of tube also could greatly reduce the size and weight of X-ray systems. The vendor sees this system as key to its larger plan to address health disparities and access to imaging world-wide. #Nanox

VIDEO: Cold-cathode X-ray systems may disrupt the medical imaging market

Bhvita Jani, research manager at Signify Research, explains advances in cold-cathode X-ray tube technology and how this might represent a major shift in radiology imaging systems. 
 

January 30, 2023
Fixed digital X-ray systems have seen increased market share after a dip in 2020 when hospitals used funding to but more mobile DR systems due to COVID. The Konica-Minolta booth DR system on display at RSNA 2022. Photo by Dave Fornell

VIDEO: Trends in X-ray systems

Bhvita Jani, research manager at Signify Research, explains the technology trends she is seeing in the radiology X-ray market.

January 27, 2023
Jakob Weiss, MD, a radiologist affiliated with the Cardiovascular Imaging Research Center at Massachusetts General Hospital and the AI in Medicine program at the Brigham and Women’s Hospital in Boston, helped develop an deep learning AI algorithm that can assess a patient's biological age and risk assess patients for various diseases. #RSNA #AI #ImagingAI

VIDEO: AI predicts heart disease risk using single chest X-ray

Jakob Weiss, MD, was the lead author on a study that used AI to determine a patient's cardiovascular risks based on a standard chest X-ray.

January 12, 2023
Mahadevappa Mahesh, PhD, professor of radiology and a medical physicist at the Johns Hopkins University School of Medicine, explains a new American College of Radiology (ACR) effort to ensure that lower radiation dose X-ray images under Image Wisely and As Low as Reasonable Achievable (ALARA) meet diagnostic reading standards. He spoke to Radiology Business at the Radiological Society of North America (RSNA) 2022 meeting.

VIDEO: Making sure lower dose X-ray is still diagnostic quality

Mahadevappa Mahesh, PhD, professor of radiology and a medical physicist at the Johns Hopkins University School of Medicine, explains a new ACR effort to ensure that lower radiation dose X-ray images under Image Wisely and As Low as Reasonable Achievable (ALARA) meet diagnostic reading standards.

December 21, 2022
An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

AI triages pneumothorax patients with differentiated diagnoses

A commercially available AI package has proven adept at distinguishing between two closely similar but unequally urgent conditions on chest X-rays.

December 20, 2022
A CT coronary calcium scoring exam at Northwestern Medicine's Central DuPage Hospital in the Chicago Suburbs. Dave Fornell

Trends in the number of radiology studies and a decline in radiation dose

A special report in Radiology offers a rare overview of the number of radiology exams performed each year worldwide and focuses on the decline of associated radiation doses patients receive.

December 19, 2022
knee x-ray

AI detects early signs of osteoarthritis from X-ray images

Increased ability to catch osteoarthritis early from X-ray images alone could help treat symptoms and prevent costly MRI examinations.

December 19, 2022
Daniela Pfeiffer, professor of radiology and medical director of the study

Dark field chest X-rays can improve diagnosis of COVID-related lung disease

The novel technology offers a lower-radiation alternative to CT while offering key information about infected lung tissue.

December 8, 2022

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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