Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Knowledge-based iterative reconstruction enables ultra-low current CT colonography

In a phantom study, reducing tube voltage for CT colonography to 80 kVp cut median effective radiation dose to a level lower than a typical abdominal radiograph, but also resulted in severe deterioration in image noise and per-polyp sensitivity unless paired with a full knowledge-based iterative reconstruction (IR) algorithm, according to findings published July 11 in Radiology.

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Prehistoric imaging: CT scans, x-rays of woolly mammoths aid researchers

Researchers are using imaging to study two newborn woolly mammoths discovered preserved in the Siberian Arctic.

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Algorithm makes polyp surveillance nearly automatic on CTC

An algorithm for automatic endoluminal coregistration at initial CT colonography can successfully help predict polyp location at subsequent CT colonography, according to a study published online July 4 in Radiology. 

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A good match: Stress DECT myocardial perfusion + coronary CTA for CAD assessment

Combined analysis of coronary CT angiography (CTA) and stress dual-energy CT (DECT) myocardial perfusion reduces the number of false-positives in a high-risk population for coronary artery disease (CAD) and outperforms coronary CTA alone for the detection of morphologically and hemodynamically significant CAD, according to a study published in the July issue of the American Journal of Roentgenology.

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Paying attention to ADHD: New biomarker could help curb misdiagnosis

Magnetic field correlation indexes of brain iron may represent a noninvasive diagnostic biomarker in the diagnosis of attention deficit hyperactivity disorder (ADHD) and may help parents and physicians make better informed treatment decisions, according to a study published online June 17 by Radiology.

Breast cancer gene linked to lung cancer

About a quarter of smokers who have a defect in the BRCA2 gene, best known for increasing the risk of breast cancer, will develop lung cancer at some point in their lifetime, according to a study published by Nature Genetics on June 1. 

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Understanding CTC screening

Utilization of CT colonography (CTC) has been increasing as interest grows over the benefits compared with standard colonoscopy. Cost, minimal invasiveness and the fact that it’s well-tolerated by patients makes it an attractive option for most.

Quantitative susceptibility MRI better identifies MS

Quantitative susceptibility (QS) MRI can better distinguish and track Multiple Sclerosis (MS), according to a study published online May 14 by Radiology. 

Around the web

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease. 

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

The new technology shows early potential to make a significant impact on imaging workflows and patient care.