Subspecialties: Page 231

Separating the art of medicine from artificial intelligence
By Dr. Hugh Harvey
Is it feasible to develop an artificial intelligence algorithm that can actually "read" chest x-rays? The task is definitely not an easy one and major challenges must be addressed, writes radiologist Dr. Hugh Harvey in his new column.
February 20, 2018
2018 02 20 19 49 7861 Cyber Informatics Head2 400
DBT + mammography boosts cancer detection in Norway
By Rebekah Moan
Using digital breast tomosynthesis (DBT) with full-field digital mammography (FFDM) detects more cancers and has improved specificity compared with FFDM alone, according to a large study from Norway by Dr. Per Skaane and colleagues and published in Breast Cancer Research and Treatment.
February 19, 2018
2016 11 15 14 47 22 735 Breast Dbt 400
Clinical audits promise productivity gains in Russia
By Frances Rylands-Monk
A radiology audit service in Moscow that already assesses 150 CT, MRI, and mammography systems across 64 outpatient departments is gearing up for further expansion. Unified Radiological Information Service is expected to reduce costs for radiology departments.
February 19, 2018
2018 02 16 19 03 3956 Russia Flag 400
Study: Over 30% of breast cancers missed on breast MRI
By Rebekah Moan
Almost one-third of breast cancers detected in a high-risk screening program using breast MRI were already visible at the last negative MRI scan, Dutch researchers have reported. The results apply to both screen-detected and interval cancers, they added.
February 15, 2018
2018 02 15 22 16 9059 2018 02 16 Missed Mri Pic 400
Why errors in radiology are no easy matter
By Philip Ward
Radiologists who make errors are not always negligent, sloppy, or careless, but a greater emphasis on training and competency as well as improvements in systems used for reporting and communication of images can reduce the number of discrepancies and clinical incidents, U.K. researchers have found.
February 14, 2018
2015 08 11 09 27 36 379 Error2 200
Is CT or MR perfusion better for diagnosing CAD?
By Abraham Kim
Recent advances in scanner technology have made the use of CT stress myocardial perfusion imaging feasible. Just how well it matches up to MR perfusion in the diagnosis of coronary artery disease (CAD) is the central question of a German/U.S. study led by Dr. Marc Dewey from Berlin.
February 14, 2018
2018 02 14 19 16 8769 Dewey Marc 400
DenseBreast-info.org to launch European content
By AuntMinnieEurope.com staff writers
Breast density education group DenseBreast-info.org has announced a plan to launch specialized content for Europe and neighboring countries.
February 13, 2018
New tribute posted to Judith Adams
By AuntMinnieEurope.com staff writers
The U.K. Royal College of Radiologists (RCR) has posted a tribute to Prof. Judith Elizabeth Adams, the leading musculoskeletal radiologist who passed away on 30 September 2017 after discovering her own malignancy on an abdominal CT scan.
February 13, 2018
2018 02 14 17 12 9679 Adams Judith
TeamBest debuts new line of cyclotrons
By AuntMinnieEurope.com staff writers
TeamBest company members Best Cyclotron Systems and Best Theratronics have introduced a new family of cyclotrons that produce isotopes for research, diagnostic, and therapeutic applications.
February 13, 2018
French find no need for CT to rule out PE
By Abraham Kim
French researchers found that a set of clinical criteria was just as accurate as a protocol that included CT pulmonary angiography for ruling out pulmonary embolism (PE) in the emergency department, according to an article published in the February 13 issue of the Journal of the American Medical Association.
February 13, 2018
2017 12 20 17 16 6396 Lung General 400
Liver MRI software could halve the number of biopsies
By AuntMinnieEurope.com staff writers
Scanning technology from liver MRI software developer Perspectum Diagnostics could almost halve the number of liver biopsies carried out in people with fatty liver disease, the firm announced.
February 12, 2018
2018 02 12 21 55 0232 2018 02 12 Perspectum Image2 20180212215841
Machine learning can help assess atherosclerosis
By Erik L. Ridley
Machine-learning techniques analyze imaging measurements to automatically stratify patients by the level of atherosclerotic burden, offering the potential of personalized prediction of disease progression and more effective treatment for individual patients, according to researchers from Italy.
February 6, 2018
2016 12 16 12 10 22 906 Computer Brain 400
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