Chest Radiology: Page 99

PET/CT key to NIH's tuberculosis research plan

By AuntMinnie.com staff writers

The U.S. National Institute of Allergy and Infectious Diseases has published a new plan for tuberculosis research, and imaging -- particularly PET/CT -- is a key part of the strategy. The document was released on September 26 to coincide with the United Nations General Assembly meeting in New York City on ending tuberculosis.

September 25, 2018

Philips deploys hybrid OR at Augusta University Health

By AuntMinnie.com staff writers

Philips Healthcare is teaming up with Augusta University Health in Augusta, GA, to implement a hybrid operating room (OR) designed to expedite the diagnosis and treatment of lung cancer.

September 25, 2018

Qure.ai touts results from AI validation study

By AuntMinnie.com staff writers

Artificial intelligence (AI) software developer Qure.ai is directing attention to results from the clinical validation of its qXR AI algorithm for chest x-rays.

September 18, 2018

Is thermal ablation effective for treating NSCLC?

By Erik L. Ridley

Thermal ablation is safe and effective for treating early-stage non-small cell lung cancer (NSCLC), and it could be a suitable alternative to stereotactic radiotherapy for patients who can't undergo surgery because of age or health status, according to research published online September 18 in Radiology.

September 18, 2018

ISCT: Should CT be first for evaluating chest trauma?

By Abraham Kim

SAN DIEGO - What's the best first-line diagnostic technique for assessing penetrating chest trauma? Dr. Savvas Nicolaou made the case for CT as the imaging modality of choice in a Friday presentation at the 2018 International Society for Computed Tomography (ISCT) symposium.

September 13, 2018

C-MIMI: Radiologists 'swarm' with AI to detect pneumonia

By Erik L. Ridley

Are radiologists and artificial intelligence (AI) better together than apart? The answer is yes, at least for diagnosing pneumonia on chest x-rays, according to research presented on Monday at the 2018 Conference on Machine Intelligence in Medical Imaging (C-MIMI) in San Francisco.

September 10, 2018

Access to CT lung screening varies by population density

By Abraham Kim

Smokers in densely populated regions in the U.S. live significantly closer to a CT lung cancer screening facility than those residing in more sparsely populated areas, according to an article published online September 1 in the Journal of the American College of Radiology.

September 6, 2018

Lung experts refine diagnostic criteria for IPF on CT

By Abraham Kim

A committee of lung experts from various respiratory societies has prepared a new guideline for diagnosing idiopathic pulmonary fibrosis (IPF) using high-resolution CT scans. The guideline is available in the September issue of the American Journal of Respiratory and Critical Care Medicine.

September 3, 2018

AI spots lung nodules on CT, with low false-positive rate

By Abraham Kim

A group from Alabama has developed a deep-learning artificial intelligence (AI) algorithm capable of detecting lung nodules on CT scans while maintaining a low false-positive rate, according to an article published online August 22 in the Journal of the American Medical Informatics Association.

August 29, 2018

3D CT navigation technique may improve tumor surgery

By Abraham Kim

Researchers from Canada have developed a new technique that uses real-time imaging of 3D CT models to guide chest wall tumor resection. The method was more accurate and easier to use than conventional thoracoscopy, according to an article recently published online in the Annals of Thoracic Surgery.

August 28, 2018

CT screening program targets nuclear weapons workers

By Kate Madden Yee

Should occupational hazards be considered when deciding whether individuals should receive CT lung cancer screening? Researchers from New York investigated that question by performing CT lung screening scans on a population of nuclear weapons workers, publishing the results August 23 in the American Journal of Public Health.

August 27, 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.

August 27, 2018

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