Thoracic Imaging: Page 28

AI can stratify risk of COVID-19 based on chest x-rays

By Erik L. Ridley

An artificial intelligence (AI) algorithm could be utilized in low-resource settings to stratify a patient's risk of having COVID-19 based on their chest x-rays, according to research published online January 13 in Intelligence-Based Medicine.

January 13, 2022

Photon-counting CT improves interstitial pneumonia diagnosis

By Kate Madden Yee

Photon-counting CT improves reader confidence when it comes to diagnosing interstitial pneumonia -- and it reduces radiation dose by more than 17%, according to research presented at the recent RSNA 2021 meeting.

January 11, 2022

AI could speed up CT lung cancer screening

By Kate Madden Yee

An artificial intelligence (AI) algorithm performs comparably to radiologists for reading low-dose CT lung cancer screening exams and could help reduce the workload in screening programs, according to a study published January 6 in Lung Cancer.

January 9, 2022

Patient background can impact follow-up of lung nodules

By Kate Madden Yee

The demographic and socioeconomic factors of patients can influence whether incidental lung nodules found on chest CT are tracked appropriately, according to poster research presented at the recent RSNA 2021 meeting.

December 21, 2021

CT lung cancer screening reduces mortality rates

By AuntMinnie.com staff writers

Lung cancer screening with low-dose CT reduces mortality rates by finding cancer earlier, according to a study published December 17 in JAMA Network Open.

December 20, 2021

Should interval chest CT findings affect timing of lung screening?

By Kate Madden Yee

Should clinical information gleaned from interval diagnostic low-dose chest CT scans for lung cancer affect the timing of later rounds of lung screening? Perhaps, according to research presented at the recent RSNA 2021 meeting.

December 16, 2021

Automated pipeline enables body composition analysis on chest CT

By Erik L. Ridley

Body composition analysis can be performed on chest CT exams with help from an automated pipeline that includes deep-learning algorithms, according to research presented recently at RSNA 2021 in Chicago.

December 14, 2021

Deep learning helps CT lung cancer screening identify emphysema

By Kate Madden Yee

Investigators from the University of Chicago have developed a deep learning algorithm that identifies emphysema on CT lung cancer screening, according to research shared at the recent RSNA meeting.

December 12, 2021

Chest CT, x-ray show breakthrough COVID-19 tends to be mild

By Kate Madden Yee

Imaging findings on chest CT and x-ray in patients with breakthrough COVID-19 disease tend to be mild -- and most patients go on to recover just fine, according to research published December 9 in Radiology: Cardiothoracic Imaging.

December 9, 2021

Higher coronary artery calcium scores increase COVID-19 mortality risk

By Kate Madden Yee

Patients with COVID-19 who have higher levels of coronary artery calcium face increased risk of death from the disease, according to research presented at the RSNA 2021 meeting.

December 8, 2021

Alternative method for diagnosing PE as effective as CTPA

By Kate Madden Yee

Diagnosing pulmonary embolism (PE) in the emergency department using D-dimer information shows promise as an alternative to diagnosing the condition via CT pulmonary angiography (CTPA), according to a study published December 7 in JAMA.

December 7, 2021

ACR urges CMS to make changes to lung cancer screening guidance

By AuntMinnie.com staff writers

The American College of Radiology (ACR) is urging the U.S. Centers for Medicare and Medicaid Services (CMS) to further adjust its proposed guidance for lung cancer screening.

December 6, 2021

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