Thoracic Imaging: Page 36

Specialized CT training helps readers diagnose lung disease

By Kate Madden Yee

A specialized training program for interpreting thoracic CT images can level the field between expert and nonexpert readers when it comes to diagnosing diffuse parenchymal lung diseases (DPLDs), according to a study published August 22 in Academic Radiology.

August 24, 2021

Could scanning more Black people boost benefits of lung screening?

By Erik L. Ridley

The mortality benefit of low-dose CT (LDCT) lung cancer screening programs could be improved significantly if more Black people who are eligible to be screened participate, according to research published online August 24 in JAMA Network Open.

August 24, 2021

AI-based CAD software offers high sensitivity for lung nodules

By Erik L. Ridley

Artificial intelligence (AI)-based computer-aided detection (CAD) software can be highly sensitive for detecting pulmonary nodules on CT exams in clinical practice, according to research published August 14 in Clinical Radiology.

August 22, 2021

AI can assess sarcopenia on chest and abdominal CT exams

By Erik L. Ridley

An artificial intelligence (AI) algorithm worked well to assess sarcopenia -- a risk factor for future hip fractures and death -- on both chest and abdominal CT scans, according to research published August 18 in the American Journal of Roentgenology.

August 18, 2021

CT lung cancer screening hits the road in W.Va.

By AuntMinnie.com staff writers

West Virginia University Hospitals has unveiled a fully mobile coach with an onboard CT scanner that will provide CT lung cancer screening in rural areas of West Virginia.

August 12, 2021

Fujifilm's chest x-ray AI software gets nod in Japan

By AuntMinnie.com staff writers

Fujifilm, parent company of Fujifilm Medical Systems USA, announced it has received approval to begin offering its new artificial intelligence (AI) chest x-ray software in Japan.

August 11, 2021

How accurate are models for predicting incidental lung nodules?

By Kate Madden Yee

How accurate are two commonly used clinical models -- one from Mayo Clinic and another from Brock University -- for predicting whether incidental pulmonary nodules found on chest CT are malignant?

August 11, 2021

Body position on x-ray affects radiation dose in children

By Will Morton

Are uncooperative children receiving more radiation exposure during digital chest x-ray? Not intentionally, of course, but imaging children in supine positions to constrain motion and reduce image distortions results in higher doses than when patients are standing, according to a study published August 5 in PLOS One.

August 10, 2021

AI may not be ready to assess for pulmonary embolism

By Erik L. Ridley

An artificial intelligence (AI) algorithm can't be relied upon -- yet -- to detect pulmonary embolism on CT pulmonary angiography in clinical practice, according to research from Germany published August 6 in RöFo.

August 8, 2021

Chest x-ray inflammation severity score hones COVID-19 detection

By Will Morton

A simple chest x-ray scoring system for assessing lung inflammation severity in COVID-19 patients helps doctors perform triage in underresourced countries, according to a study published July 30 in Advances in Clinical and Experimental Medicine.

August 5, 2021

AI helps triage tuberculosis patients on chest x-ray

By Will Morton

An artificial intelligence (AI) model can accurately distinguish between active and healed tuberculosis on chest x-rays, according to a study published August 3 in Radiology.

August 4, 2021

Unsupervised AI yields automated COVID-19 survival predictions

By Erik L. Ridley

An "unsupervised" artificial intelligence (AI) model -- that is, one trained without image annotations -- can yield accurate predictions of a COVID-19 patient's survival based on their chest CT exams, according to research published online in Medical Image Analysis.

August 4, 2021

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