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Thoracic Imaging: Page 82
SIIM: AI can detect, classify TB on chest x-rays
By
Erik L. Ridley
DENVER - An artificial intelligence (AI) algorithm can accurately detect, localize, and classify suspected tuberculosis (TB) on chest x-rays, according to research presented Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.
June 30, 2019
SIIM: AI exploits CT sinogram data to find lung nodules
By
Erik L. Ridley
DENVER - An artificial intelligence (AI) algorithm can accurately detect lung nodules on CT by analyzing both the reconstructed image and the raw sinogram data, according to research presented Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.
June 27, 2019
CT lung screening criteria overlook racial differences
By
Abraham Kim
Current eligibility criteria for CT lung cancer screening from the U.S. Preventive Services Task Force do not account for racial differences -- leaving behind a large proportion of African American smokers who would benefit from the test, say Tennessee researchers in an article published online June 27 in
JAMA Oncology
.
June 27, 2019
Risk model predicts malignancy of lung nodules on CT
By
Abraham Kim
A new risk-prediction model proved capable of estimating the likelihood that pulmonary nodules detected on CT scans would become malignant in a new study, published online July 27 in
Cancer Prevention Research
. The model may assist clinicians in managing patients at risk of developing lung cancer.
June 27, 2019
Use lung ultrasound to diagnose pediatric pneumonia
By
Kate Madden Yee
Lung ultrasound is a viable alternative to chest x-ray and CT for diagnosing pneumonia in children -- with a sensitivity of 94% and a specificity of 92% -- but it is dependent on operator experience, according to a study published online June 18 in
Academic Emergency Medicine
.
June 27, 2019
SIIM: Automated reporting tool optimizes CT lung screening
By
Abraham Kim
DENVER - A computer-assisted reporting tool integrated directly into the radiology workflow bolstered the ability of clinicians to distinguish benign from malignant lung nodules on CT lung screening exams in a new study, presented on Wednesday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.
June 26, 2019
3D printing bolsters surgery for multiple rib fractures
By
Abraham Kim
Using 3D-printed models based on chest CT scans allows clinicians to personalize surgical treatment for patients with multiple rib fractures -- reducing operating times and the risk of intraoperative complications, according to an article published online June 11 in the
Journal of Cardiothoracic Surgery
.
June 16, 2019
CT lung screening reduces cancer mortality most in women
By
Abraham Kim
CT lung cancer screening reduced cancer mortality by 69% in high-risk female smokers in the German Lung Cancer Screening Intervention trial, based on new results. But the test offered less of a benefit to men, according to a study recently published in the
International Journal of Cancer
.
June 13, 2019
CAD software helps stratify risk in lung cancer patients
By
Erik L. Ridley
By measuring the percentage of pulmonary fibrosis on CT exams in lung cancer patients, computer-aided detection (CAD) software can also detect and quantify the extent of interstitial lung abnormalities and help in risk stratification of these patients, according to research published online June 4 in
Radiology
.
June 5, 2019
Risk models boost efficiency of CT lung cancer screening
By
Abraham Kim
Integrating risk-prediction models into eligibility criteria for CT lung cancer screening could prevent up to 24% more cancer deaths than using guidelines from the U.S. Preventive Services Task Force, with no difference in the number of smokers screened, according to a report published June 3 in the
Annals of Internal Medicine
.
June 3, 2019
AI enhances detection of pulmonary nodules
By
Erik L. Ridley
An artificial intelligence (AI) algorithm can improve radiologists' performance for detecting pulmonary nodules on chest CT scans while also speeding up reading times, researchers from China reported in an article published online May 29 in
Radiology: Artificial Intelligence
.
May 30, 2019
CT lung screening risk model cuts false-positive rate
By
Abraham Kim
Using a risk prediction model to figure out which nodules to work up helped reduce the false-positive rate in a CT lung cancer screening trial by more than threefold, compared with rates using previous criteria, according to an article published online May 15 in the
Journal of the American College of Radiology
.
May 22, 2019
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