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For richer or poorer: Socioeconomic status may change brain's structure, function

socioeonomic-title-image_tcm7-188643.jpg

Socioeconomic status will undoubtedly affect an adult mentally and emotionally. However, researchers have discovered that it may change an adult's brain structure and function, according to research published May 14 in Proceedings of the National Academy of Sciences of the United States of America.  

  • Read more about For richer or poorer: Socioeconomic status may change brain's structure, function

For perfusion CMR analysis, quantitative tops qualitative for CAD prognosis

Researchers from Germany and the U.K. found quantitative analysis of perfusion cardiac magnetic resonance (CMR) ischemic burden superior to visual analysis in patients with suspected coronary artery disease (CAD), according to a recent Journal of the American College of Cardiology (JACC) study.

  • Read more about For perfusion CMR analysis, quantitative tops qualitative for CAD prognosis

Why would 41% of women with dense breasts avoid supplemental breast MRIs?

More than 41 percent of women with dense breasts will choose to forgo supplemental breast MRI after receiving a negative mammography screening, according to a study recently published in Clinical Radiology.

  • Read more about Why would 41% of women with dense breasts avoid supplemental breast MRIs?

Cardiac MRI effective in diagnosing rare 'broken heart syndrome'

Australian researchers found cardiac MRI an accurate method of diagnosing mid-cavity variant Takotsubo cardiomyopathy (TCM)—a rare acute coronary syndrome also known as "broken heart syndrome"—in a case study published in Current Problems in Diagnostic Radiology.

  • Read more about Cardiac MRI effective in diagnosing rare 'broken heart syndrome'

Radiomics differentiates luminal A breast cancer, benign lesions from MRI dataset

Researchers have found that quantitative radiomics can better distinguish between benign lesions and luminal A breast cancers than using maximum linear size alone, according to a study published May 10 in Academic Radiology.

  • Read more about Radiomics differentiates luminal A breast cancer, benign lesions from MRI dataset

Canadian particle accelerator produces Tc-99m isotopes

Radioactive

A team at the University of Alberta in Canada has devised a method utilizing a cyclotron particle accelerator to produce the radioactive tracer technetium-99m—the parent of Molybdenum-99. It may be able to produce enough radioactive isotope for the entire province, CBC.ca reports.

  • Read more about Canadian particle accelerator produces Tc-99m isotopes

JACR editorial: A bleak view on the future of AI and radiology

AI

“Today there are 34,000 radiologists in the United States. Unless radiologists do things other than interpret imaging studies, there will be need for far fewer of them,” wrote Robert Schier, MD, with Radnet, in the Journal of the American College of Radiology.

  • Read more about JACR editorial: A bleak view on the future of AI and radiology

Imaging appointment no-shows due to modality type, scheduling lead time

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These no-shows can delay diagnosis, while medical providers lose revenue and opportunities to see more patients, according to a study in the Journal of the American College of Radiology.

  • Read more about Imaging appointment no-shows due to modality type, scheduling lead time

Survey: Hospitals consider outsourcing imaging to cut costs

Outsourcing

A recent Black Book Market Research survey of administrators from 709 hospitals and inpatient organizations found medical imaging among the most popular services hospitals are considering outsourcing to save money.

  • Read more about Survey: Hospitals consider outsourcing imaging to cut costs

Machine learning objectively contours CT scans, saves time for radiation oncologists

Contouring is an instrumental process for radiation oncologists and their patients—but the method is highly subjective. Researchers found their deep neural network algorithm could result in massive time savings for providers.

  • Read more about Machine learning objectively contours CT scans, saves time for radiation oncologists

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