Thoracic Imaging: Page 77

CTPA vessel density predicts mortality in PE patients
By Abraham Kim
Wednesday, December 4 | 11:20 a.m.-11:30 a.m. | SSK06-06 | Room S103ABHigh pulmonary artery density on CT pulmonary angiography (CTPA) scans was associated with an increased risk of death in patients with pulmonary embolism (PE) in this study to be presented on Wednesday.
November 6, 2019
CTPA usage rates on the rise for PE in pregnant women
By Abraham Kim
Wednesday, December 4 | 11:10 a.m.-11:20 a.m. | SSK06-05 | Room S103ABThe use of CT pulmonary angiography (CTPA) to evaluate pregnant women suspected of having a pulmonary embolism (PE) has increased over the past two decades, despite low detection rates, researchers from Switzerland will report in this presentation.
November 6, 2019
CAC found on CT lung screening spurs management changes
By Abraham Kim
Wednesday, December 4 | 11:00 a.m.-11:10 a.m. | SSK05-04 | Room N229Coronary artery calcium (CAC) scoring should be integrated into CT lung cancer screening exams, according to researchers from Massachusetts General Hospital.
November 6, 2019
Is it time to individualize CT lung screening intervals?
By Abraham Kim
Wednesday, December 4 | 10:50 a.m.-11:00 a.m. | SSK05-03 | Room N229Tailoring the interval between baseline and follow-up CT lung screening exams based on an individual's risk of lung cancer could safely reduce the rate of unnecessary screening exams, say researchers from Italy.
November 6, 2019
How effective is Lung-RADS for subsolid lung nodules?
By Abraham Kim
Wednesday, December 4 | 10:30 a.m.-10:40 a.m. | SSK05-01 | Room N229Current management guidelines from the Lung Imaging Reporting and Data System (Lung-RADS) slightly underestimate the malignancy of subsolid nodules found on CT lung cancer screening exams and may need to be revised, according to this study to be presented on Wednesday.
November 6, 2019
AI algorithm could enhance CT lung cancer screening
By Erik L. Ridley
Tuesday, December 3 | 3:50 p.m.-4:00 p.m. | SSJ05-06 | Room S102CDAn artificial intelligence (AI) algorithm could help radiologists improve their diagnostic accuracy on CT lung cancer screening exams, according to this presentation.
November 6, 2019
New CT guidance method improves lung nodule localization
By Abraham Kim
Sunday, December 1 | 11:45 a.m.-11:55 a.m. | SSA24-07 | Room S404CDResearchers from Michigan have developed a minimally invasive CT-guided technique for preoperatively marking lung nodules as accurately as standard techniques, which they will detail in their upcoming Sunday presentation.
November 6, 2019
MRI sequences combine for easy-breathing lung perfusion
By Wayne Forrest
Thursday, December 5 | 11:40 a.m.-11:50 a.m. | SSQ05-08 | Room E350Clinicians never run out of ways to tweak MRI with a multitude of imaging sequences. This Thursday session will cover two sequences recently put to the test for lung perfusion.
November 5, 2019
How low can MRI go and still image lung disease?
By Wayne Forrest
Thursday, December 5 | 11:00 a.m.-11:10 a.m. | SSQ05-04 | Room E350Researchers from the U.S. National Institutes of Health are following the adage "less is more" in their development of a 0.55-tesla MRI system for lung imaging.
November 5, 2019
CT lung screening proves cost-effective even at older ages
By Abraham Kim
A cost analysis of well-established CT lung cancer screening guidelines confirmed that screening remains cost-effective even at the oldest upper age limits, with screening of older people incurring more costs but offering greater reductions in mortality risk. The findings were published online November 4 in Annals of Internal Medicine.
November 4, 2019
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Reversed halo sign on chest CT linked to septic PE
By Abraham Kim
The presence of a reversed halo sign on chest CT scans is indicative of septic pulmonary embolism (PE) in patients with intravenous substance use disorder, according to a study published online October 31 in the American Journal of Roentgenology.
November 3, 2019
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AI algorithm could enhance CT lung cancer screening
By Erik L. Ridley
Tuesday, December 3 | 3:50 p.m.-4:00 p.m. | SSJ05-06 | Room S102CDAn artificial intelligence (AI) algorithm could help radiologists improve their diagnostic accuracy on CT lung cancer screening exams, according to this presentation.
November 3, 2019
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