Thoracic Imaging: Page 32

Video from ECR 2019: Mathias Prokop on lung cancer screening

VIENNA - What are the essential aspects to consider when starting a lung cancer screening program using low-dose CT? And why are quality assurance and standardization such important areas? Dr. Mathias Prokop, PhD, from Nijmegen, the Netherlands, provides some answers and also gives some general advice to aspiring researchers.

February 27, 2019

Vienna team secures top ECR prize for chest CT work

By Philip Ward

VIENNA - Researchers from the Medical University of Vienna have received a prestigious award for their ECR 2019 e-poster presentation about how to simplify the differential diagnosis of diffuse ground-glass opacifications using CT.

February 26, 2019

Fraunhofer MEVIS presents AI at SPIE meeting

By AuntMinnieEurope.com staff writers

German research organization Fraunhofer Institute for Digital Medicine (MEVIS) is presenting several artificial intelligence (AI) algorithms at this week's International Society for Optics and Photonics (SPIE) Medical Imaging conference.

February 19, 2019

Micro-CT, blood test aid early lung cancer detection

By AuntMinnieEurope.com staff writers

A blood test revealed that circulating DNA levels correlated with lung tumor size on micro-CT scans of mice, indicating the blood test's potential in the early detection of lung cancer, according to an article published online on 12 February in Disease Models & Mechanisms.

February 13, 2019

X-ray procedures may have led to patient death in U.K.

By AuntMinnieEurope.com staff writers

Hospital procedures for interpreting after-hours x-rays may have contributed to the death of a U.K. patient, according to a newspaper report.

February 7, 2019

Oxipit gets CE Mark for ChestEye software

By AuntMinnieEurope.com staff writers

Artificial intelligence (AI) software developer Oxipit has received the CE Mark for ChestEye, its suite of analysis and reporting software for 75 common radiology findings.

February 5, 2019

Russian AI detects lung cancer on CT in 20 seconds

By Abraham Kim

Researchers from Russia have developed an artificial intelligence (AI) program called Doctor AI-zimov that is capable of identifying and marking lung nodules -- some as small as 2 mm -- on CT scans in under 20 seconds.

February 3, 2019

AI can assist in triaging abnormal chest x-rays

By Erik L. Ridley

A study with nearly 500,000 patients seen at a top London hospital over 10 years has shown that artificial intelligence (AI) can accurately identify chest x-rays containing abnormal findings, enabling automated triage of these exams and getting them seen more quickly by radiologists. The findings were published online on 22 January in Radiology.

January 22, 2019

Ultralow-dose FDG-PET gives boost to lung screening

By Frances Rylands-Monk

Swiss researchers have shown that machine-learning algorithms can assist fully automated FDG-PET lung cancer detection -- even at simulated very low effective radiation doses of 0.11 mSv -- and it can do so at little cost to sensitivity and specificity.

December 19, 2018

Global lung screening project shows early promise

By AuntMinnieEurope.com staff writers

The International Association for the Study of Lung Cancer is reporting promising results with its Early Lung Imaging Confederation.

December 18, 2018

RCR supports 5-year plan to improve lung health in U.K.

By AuntMinnieEurope.com staff writers

The Royal College of Radiologists (RCR) and the British Society of Thoracic Imaging have embraced a five-year plan put forward by the British Lung Foundation's Taskforce for Lung Health to improve lung health in England

December 9, 2018

New method provides boost in PET thoracic imaging

By Wayne Forrest

Researchers from the U.S. and U.K. have developed an automated retrospective image reconstruction technique that helps to overcome poor image results from patient motion in cardiac PET scans. Their study was published online in the Journal of Nuclear Medicine.

December 9, 2018

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