Subspecialties: Page 279

Better chest CT CAC reporting avoids unnecessary exams

By Kate Madden Yee

Reporting coronary artery calcium (CAC) on routine chest CT could help clinicians more accurately predict a patient's cardiovascular disease risk and avoid unnecessary additional gated calcium score CT exams, according to a study published in the January-February issue of Current Problems in Diagnostic Radiology.

January 12, 2021

Anavex wins $1M grant for PET research

By AuntMinnie.com staff writers

Biopharmaceutical firm Anavex Life Sciences has received a nearly $1 million grant from the Michael J. Fox Foundation to investigate using PET imaging biomarkers to assess its Anavex 2-73 drug for treating Parkinson's disease.

January 11, 2021

AI bolsters specificity of screening breast ultrasound

By Erik L. Ridley

A diagnostic model that incorporates artificial intelligence (AI)-based quantitative analysis can significantly decrease false-positive rates for masses detected on screening breast ultrasound exams, potentially helping to reduce unnecessary biopsies, according to a study published online January 11 in Scientific Reports.

January 11, 2021

Is there a place for whole-body cancer screening?

By Kate Madden Yee

A whole-body imaging cancer screening program could be an effective way to detect early-stage cancer among a motivated screening population, according to a study from Japan published January 1 in the Journal of the American College of Radiology.

January 11, 2021

Ultrasound predicts ulcerative colitis treatment response

By Theresa Pablos

Ultrasound scans may help physicians predict which patients with severe ulcerative colitis won't respond to steroid treatment, according to a January 5 study published in Ultrasound in Medicine & Biology. As a result, these patients could gain quicker access to alternative colon-saving therapies.

January 10, 2021

Can AI spot breast cancer years before radiologists?

By Erik L. Ridley

A deep-learning algorithm successfully detected breast cancer on screening mammography, in some cases as early as two years before it was diagnosed during conventional interpretation, according to research published online January 11 in Nature Medicine. The algorithm also performed well with digital breast tomosynthesis (DBT) exams.

January 10, 2021

Are COVID-19 reviews relying on the same primary studies?

By Theresa Pablos

The scientific literature is being flooded with academic reviews of COVID-19 that are based on the same small set of primary studies, according to research published January 7 in JAMA Network Open. Researchers proved their point by analyzing studies of imaging of children with COVID-19.

January 10, 2021

Echo helps identify flossing-induced heart disease

By Melissa Busch

In a case report from Texas, echocardiography helped clinicians diagnose a man with a rare case of infective endocarditis thought to be caused by oral bacteria released from vigorous dental flossing. The findings were published in the Cureus Journal of Medical Science.

January 10, 2021

RefleXion partners with HealthMyne on cancer radiomics

By AuntMinnie.com staff writers

Radiation therapy developer RefleXion Medical has signed a deal with HealthMyne to combine technologies to apply oncology radiomics to radiation therapy treatments.

January 7, 2021

Lung involvement portends COVID-19 mortality risk

By Erik L. Ridley

Volumetric analysis of lung consolidation on chest CT scans can be used to predict the risk of COVID-19 patients dying in the hospital and aid in management decisions, researchers from Michigan reported in a study published online January 6 in European Journal of Radiology Open.

January 7, 2021

Ultromics' AI software gets thumbs-up from regulators

By AuntMinnie.com staff writers

The U.S. Food and Drug Administration has cleared EchoGo Pro, an artificial intelligence (AI) decision support software application from U.K. software developer Ultromics for identifying coronary artery disease on echocardiograms.

January 7, 2021

AI predicts metastasis in gastric cancer patients

By Erik L. Ridley

An artificial intelligence (AI) algorithm can predict the presence of occult peritoneal metastasis in gastric cancer patients based on preoperative CT scans, potentially helping in treatment decision-making and avoiding unnecessary surgeries, according to research published online January 5 in JAMA Network Open.

January 6, 2021

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