Thoracic Imaging: Page 33

Momentum gathers behind MRI for lung cancer screening
By Abraham Kim
CHICAGO - Nearly a decade ago, CT surpassed x-ray as the imaging modality of choice for lung cancer screening. But could there be an even better option for the test? Researchers from the U.S., Switzerland, and Germany made the case for MRI in a session on Monday at RSNA 2018.
November 27, 2018
2018 05 01 17 36 7840 Lungs Smoke 400
Intrasense debuts new lung, brain AI apps at RSNA 2018
By AuntMinnieEurope.com staff writers
French advanced visualization firm Intrasense is displaying new artificial intelligence (AI) applications for lung and brain imaging in collaboration with partners 12 Sigma Technologies and Quantib at RSNA 2018.
November 26, 2018
Dutch develop novel 3D method to track central airways
By Cynthia E. Keen
A group from Amsterdam has examined conebeam CT projections of a 3D-printed thorax phantom and used prototype software for template generation, template matching, and triangulation to determine bronchus motion. They think markerless 3D monitoring can help in radiotherapy.
October 4, 2018
2017 03 24 11 45 14 696 Dutch Flag 400
NELSON gives Europeans go-ahead for CT lung screening
By Abraham Kim
CT lung cancer screening got a big boost this week from researchers in the Dutch-Belgian Randomized Lung Cancer Screening (NELSON) trial, who at the 2018 World Conference on Lung Cancer in Toronto reported a 26% mortality reduction for men in the trial. The findings could give the green light to CT lung screening in Europe.
September 26, 2018
2016 09 14 14 37 45 241 Cigarette Smoking 400
Philip Morris explores lung intake with CT-based models
By AuntMinnieEurope.com staff writers
Researchers at the research division of tobacco giant Philip Morris International have developed computational models of the human lung based on CT scans to help diagnose respiratory disease and provide appropriate treatment for patients.
September 18, 2018
Swiss firm explores lung intake with CT-based models
By AuntMinnieEurope.com staff writers
Researchers at Philip Morris International R&D (PMI) have developed computational models of the human lung, which utilize CT scans to help diagnose respiratory disease and provide appropriate treatment for patients.
September 18, 2018
RSNA launches AI challenge to detect pneumonia on x-rays
By Rebekah Moan
The RSNA has launched its second annual machine-learning challenge: The RSNA Pneumonia Detection Challenge invites teams to develop artificial intelligence (AI) algorithms to identify and localize pneumonia in chest x-rays, with top submissions to be recognized at the RSNA 2018 meeting.
September 3, 2018
2018 08 27 20 04 8586 Lung Pneumonia Cad2 20180827201807
New AI algorithm identifies small lung tumors on CT scans
By AuntMinnieEurope.com staff writers
Researchers from Florida have developed an artificial intelligence (AI) algorithm capable of detecting even tiny lung tumors on CT scans with approximately 95% accuracy.
August 22, 2018
2018 08 22 21 09 5642 Lung Lab 200
Fast thoracic MRI emerges as alternative to chest x-ray
By Rebekah Moan
How does MRI compare with chest x-ray in detecting cardiac and noncardiac findings? Very similarly, according to new research from Italy. Both modalities identified pulmonary nodules, had similar pulmonary nodule detection rates, and more.
August 9, 2018
2018 08 09 20 38 2484 2018 08 10 Chest Xray Thumb
Low-dose CT can deliver cost-effective lung screening
By Frances Rylands-Monk
A Swiss modeling study showed a national low-dose CT screening program for lung cancer can be cost-effective. The study, published in the July issue of Lung Cancer, sought to clarify the impact of screening across a high-income population and revealed it may reduce mortality by 6% to 15%.
July 23, 2018
2018 07 23 20 32 8396 2018 07 24 Low Dose Tf Low Dose Ct 1 20180723201115
Opinion: Radiographers do not equal radiologists
By Dr. Emanuele Neri
Studies that compare the reading skills of radiographers against those of radiologists are flawed, says Dr. Emanuele Neri. Trying to prove that "radiographers = radiologists" is the wrong exercise because the skillsets of the two groups are so different, but "radiographers + radiologists = better care" is valid, he writes.
June 19, 2018
2018 06 20 16 36 1468 Neri Emanuele 2018 400
Machine learning can help classify radiology reports
By Erik L. Ridley
Software based on natural language processing and machine-learning techniques can effectively classify free-text radiology reports, showing potential for improving clinical care and supporting radiology research, according to an Italian study.
June 18, 2018
2017 10 16 18 44 6737 Italian Flag 400
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