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. 

Dynamic chest radiography a suitable, low-cost alternative to V/Q scanning for pulmonary hypertension

Dynamic chest radiography was recently shown to be comparable to lung ventilation-perfusion scanning for detecting chronic thromboembolic pulmonary hypertension.  

November 9, 2022
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Has electronic cropping in digital radiography resulted in the death of collimation?

While electronically cropping an image may seem like a harmless act, the habit is not without unintended consequences, the authors of a new paper recently explained.

November 8, 2022
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Chest X-rays alone ineffective in COVID triage

New research indicates that there is significant reader variability in COVID classifications among different specialties when chest X-rays alone are the diagnostic tool of choice.

November 7, 2022
Representative cases showing pneumonia extents and patterns on chest X-ray (CXRs) and CT images. (E and F) A 36-year-old male with no history of vaccination for COVID- 19. The patient had no history of comorbidity. Axial chest CT image obtained on the same day showing unilateral ground-glass opacity with a nonrounded morphology and non-peripheral distribution in the left upper lobe (arrows). RSNA Image. COVID on X-ray, CT scan. What does COVID look like in medical imaging? Example of COVID imaging.

Vaccinated vs unvaccinated, Delta vs Omicron—how do these factors impact clinical and imaging features?

Vaccination rates likely had a role in reducing disease severity during Omicron, a new paper published in Radiology suggests.

September 27, 2022
Chest MRI

Improving the diagnostic value of portable imaging: Experts propose 3 interventions

After experts from one institution evaluated 500 portable chest x-rays completed during the summer of 2021, it was revealed that 46.2% of the images obtained were problematic, requiring the imaging to be repeated. 

September 20, 2022

TB-detecting AI tool shows promise for improving screening in low resource areas

A new artificial intelligence system can detect active tuberculosis on chest radiographs with accuracy comparable to radiologists, a recent paper in Radiology reports. 

September 9, 2022
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Experts concede that 'overly optimistic' AI imaging studies do not translate to clinical practice

An interpretable AI tool that detects COVID-19 on chest radiographs underwhelmed researchers in a recent analysis published in Radiology: Artificial Intelligence. 

July 29, 2022
hand x-ray radiograph

A ‘powerful’ tool: Commercially available AI significantly outperforms radiologist reads for trauma imaging

The software was put to the test on nearly 5,000 trauma radiographs, assessing for the presence of fractures, dislocations, elbow effusions and focal bone lesions. In some cases, it outperformed radiologists by as many as 82 points. 

July 25, 2022

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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