Chest Radiology

How can AI best help in LDCT lung cancer screening?
By Will Morton
A commercially available AI-based tool appears effective as a prescreener in low-dose CT lung cancer screening.
April 16, 2025
Lung Cancer
ALA report: LCS rates more than tripled between 2023 and 2024
By Kate Madden Yee
The ALA 2024 State of Lung Cancer report showed an increase in national lung cancer screening (LCS) rates from 4.5% in 2023 to 16% in 2024.
April 3, 2025
Ct Lung Damage Covid
Can use of other cancer screening tests boost uptake of LCS?
By Kate Madden Yee
Could the use of preventive health tests such as breast and colorectal cancer screening boost uptake of lung cancer screening (LCS) with low-dose CT?
April 2, 2025
Lung Cancer
CAC score of 0 indicate low heart event risk, even in older people
By Kate Madden Yee
PET/CT imaging indicates that a coronary artery calcium (CAC) score of 0 is an accurate indicator of low coronary heart event risk even as a person ages, investigators have reported.
March 29, 2025
Heart Plaque
Thoracic aortic calcification data could help predict CAC risk
By Kate Madden Yee
Adding thoracic aortic calcification data to coronary artery calcification (CAC) models shows promise as a risk prediction biomarker for CAC in asymptomatic patients undergoing chest CT.
March 27, 2025
Representative examples of visual TAC categories, assessed on chest CT in asymptomatic individuals undergoing general health screening (blue indicates segmented TAC at level of aortic arch). Axial (A) and sagittal volume-rendered (B) images in 42-year-old patient. AI-based quantification yielded TAC volume of 101 mm3 and TAC Agatston score of 105. Examination was assessed as showing visually mild TAC. Axial (C) and sagittal volume-rendered (D) images in 57-year-old patient. AI-based quantification yielded TAC volume of 834 mm3 and TAC Agatston score of 993. Examination was assessed as showing visually moderate TAC. Axial (E) and sagittal volume-rendered (F) images in 65-year-old patient. AI-based quantification yielded TAC volume of 4872 mm3 and TAC Agatston score of 5848. Examination was assessed as showing visually severe TAC. Images and caption courtesy of the AJR.
Generative AI model shows promise in chest x-ray study
By Amerigo Allegretto
A multimodal generative AI model achieved high diagnostic accuracy and showed clinical value in preliminary reporting of chest x-ray images.
March 25, 2025
Images Large Radiol Thumbnail
CT reveals autoimmune features linked to indeterminate pneumonia
By Kate Madden Yee
CT sheds light on autoimmune features associated with idiopathic pulmonary fibrosis and usual interstitial pneumonia.
March 25, 2025
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Whole-body PET visualizes COVID-19 infection
By Will Morton
Researchers in France have developed a PET imaging approach for longitudinal tracking of the virus that causes COVID-19.
March 24, 2025
2025 03 24 Covid Brain Thumbnail
2021 LCS guidelines increased uptake, but disparities persist
By Kate Madden Yee
Updated guidelines for lung cancer screening from the USPSTF in 2021 increased adherence, but disparities persist among particular patient populations.
March 20, 2025
Lung Ct Images
Adherence to LCS decreases after baseline screening
By Kate Madden Yee
Adherence to lung cancer screening (LCS) with low-dose CT (LDCT) decreases after baseline imaging, according to a new study.
March 19, 2025
Cancer Lung
Generative AI model validated in chest x-ray study
By Will Morton
A group in South Korea has validated a generative AI model that could reduce reading times and increase chest x-ray reporting accuracy.
March 11, 2025
An example that features an AI-generated report that identified “scattered pulmonary granulomatous calcifications.” In the first session, three of five readers specifically reported the presence of a nodule. Following the introduction of the AI-generated report, only one reader maintained the specific mention of a nodule, whereas the other four readers adapted their reports to include the AI-suggested terminology of “granulomatous calcifications.” AP = anterior-posterior. Image and caption courtesy of RSNA.
AI boosts identification of incident vertebral fractures on chest CT
By Kate Madden Yee
An AI algorithm that measures 3D whole thoracic vertebral bone mineral density on conventional chest CT can help predict incident vertebral fractures.
March 11, 2025
Back Spine Skeleton
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