Thoracic Imaging: Page 3

Button battery lodged in child's esophagus for a year

By Will Morton

A case of a child with a button battery lodged in her esophagus for a year highlights the need for imaging exams in patients with a history of difficulty in swallowing, doctors in Tanzania recently reported.

August 21, 2023

Lunit to highlight lung cancer clinical trial results

By AuntMinnie.com staff writers

Lunit plans to highlight clinical trial results to be presented at the 2023 World Conference on Lung Cancer in Singapore that show AI analysis of tertiary lymphoid structures can predict treatment response in non-small cell lung cancer patients.

August 20, 2023

AI model estimates patient age on chest x-rays

By Will Morton

An AI model has been trained to estimate the age of patients from chest x-rays, with findings suggesting that x-rays may help clarify relationships between aging and various diseases, according to a study published August 16 in the Lancet Healthy Longevity.

August 17, 2023

FAPI-PET shows promise for diagnosing lung cancer

By Will Morton

F-18 FAPI-PET/CT may be superior to F-18 FDG-PET/CT for diagnosing primary and metastatic lung cancer, according to a study published August 8 in Radiology.

August 8, 2023

Two 'yes/no' questions help clinicians assess LCS eligibility

By Kate Madden Yee

A simple two-question technique shows promise for helping clinicians assess an individual's eligibility for low-dose CT (LDCT) lung cancer screening (LCS), according to a research letter published August 7 in JAMA Network Open.

August 7, 2023

Qure.ai highlights clinical results from chest x-ray software study

By AuntMinnie.com staff writers

Radiology AI software developer Qure.ai is highlighting results from a study conducted by the U.K.'s Frimley Health NHS Foundation Trust that show that the company's qXR software effectively differentiates between normal and abnormal chest x-rays.

August 6, 2023

Using AI with prior LDCT exams improves lung nodule risk assessment

By Kate Madden Yee

A deep-learning algorithm that incorporates information from prior low-dose CT (LDCT) exams is more effective for estimating three-year malignancy risk of pulmonary nodules than models that use a single CT exam alone, researchers have found.

August 2, 2023

Self-reported delays show pandemic's effect on cancer screening

By Amerigo Allegretto

About one in four women and one in three patients are reporting delays in breast and lung cancer screening stemming from the COVID-19 pandemic, according to survey findings published July 28 in Preventive Medicine.

July 31, 2023

How consistent are rads in reporting incidental findings on LDCT?

By Kate Madden Yee

Radiologist reporting of incidental findings on low-dose CT (LDCT) for lung cancer screening can vary widely -- underscoring the need for standardization, according to a study published July 27 in the Journal of the American College of Radiology.

July 27, 2023

Annalise.ai partners with Ramsay Sime Darby Health Care

By AuntMinnie.com staff writers

Australian-based company Annalise.ai is partnering with Malaysian hospital network Ramsay Sime Darby Health Care, which will integrate Annalise.ai's AI-powered tools into its facilities.

July 26, 2023

AI reduces report turnaround time for PE-positive CTPA exams

By Kate Madden Yee

AI-driven radiology reading worklist management reduces report turnaround for patients positive for pulmonary embolism (PE) on CT pulmonary angiography (CTPA), according to a July 26 study published in the American Journal of Roentgenology.

July 26, 2023

Can AI body composition analysis predict mortality risk on LDCT?

By Erik L. Ridley

An AI algorithm can opportunistically predict patient mortality risk by analyzing body composition on baseline low-dose CT lung cancer screening exams, according to research published July 25 in Radiology.

July 25, 2023

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