Current Radiologists News and Events | Page 2

Current Radiologists News and Events, Radiologists News Articles.
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Comparing recall rates, cancer detection in breast cancer screenings
Nearly 200 radiologists who interpreted about 251,000 digital breast tomosynthesis (DBT) and 2 million digital mammography screening examinations were included in this observational study that evaluated recall and cancer detection rates. (2020-03-30)

AI may help predict responses to non-small cell lung cancer systemic therapies
Using standard-of-care computed tomography (CT) scans in patients with advanced non-small cell lung cancer (NSCLC), researchers utilized artificial intelligence (AI) to train algorithms to predict tumor sensitivity to three systemic cancer therapies. (2020-03-20)

New Argonne 3D printing method could transform recycling material behind medical isotope
For the first time in the US, Argonne scientists have used 3D printing to scale up the recycling of the precursors of an important medical isotope. (2020-03-18)

Experts stress radiology preparedness for COVID-19
Today, the journal Radiology published the policies and recommendations of a panel of experts on radiology preparedness during the coronavirus disease (COVID-19) public health crisis. The article outlines priorities for handling COVID-19 cases and suggests strategies that radiology departments can implement to contain further infection spread and protect hospital staff and other patients. (2020-03-16)

UK study highlights importance of spirometry in diagnosing COPD
A UK study of patients participating in low-dose CT lung cancer screening highlights the importance of spirometry (breathing tests) in the assessment of possible chronic obstructive pulmonary disease (COPD), and demonstrates that over-reliance on radiological changes alone may result in detection of clinically insignificant disease. The new study is published online in the Annals of the American Thoracic Society. (2020-03-13)

SARS influencing response to novel coronavirus (COVID-19) epidemic in Singapore
This latest installment in the open-access AJR Collection regarding the coronavirus disease (COVID-19) explains how a tertiary hospital in Singapore responded to the 2003 outbreak of severe acute respiratory syndrome (SARS)--offering a thorough summary of ground operational considerations for diagnostic, vascular, and interventional radiologists, nuclear medicine and molecular imaging specialists, as well as radiographers and nursing units presently reacting to the COVID-19 epidemic. (2020-03-06)

Artificial Intelligence to improve the precision of mammograms
The Artificial Intelligence techniques, used in combination with evaluations by expert radiologists, improve the precision in the detection of cancer through mammograms. This is one of the main conclusions of an international study, in which researchers from the Universitat Politècnica de València (UPV), CSIC and the Universitat de València have participated, and has been published in one of the most widely distributed medical journals, the Journal of the American Medical Association. (2020-03-05)

Wuhan CT scans reliable for coronavirus (COVID-19) diagnosis, limited for differentiation
An American Journal of Roentgenology open-access article by radiologists from Wuhan, China concluded that chest CT had a low rate of misdiagnosis of COVID-19 (3.9%, 2/51) and could help standardize imaging features and rules of transformation for rapid diagnosis; however, CT remains limited for the identification of specific viruses and distinguishing between viruses. The authors also found CT features of COVID-19 that differ from both severe acute respiratory syndrome and Middle East respiratory syndrome. (2020-03-05)

Study looks at EVALI findings in teens
The first study to examine both chest X-ray and CT imaging findings in teenagers with electronic (e-)cigarette or vaping product use-associated lung injury (EVALI) was published today in the journal Radiology. (2020-03-03)

Mount Sinai physicians first in US analyzing lung disease in coronavirus patients
Findings from CT scans of COVID-19 cases from China provide new insight that could lead to quicker diagnosis. (2020-02-26)

Researchers find test to ID children at higher risk for cystic fibrosis liver disease
A major multi-center investigation of children with cystic fibrosis has identified a test that allows earlier identification of those at risk for cystic fibrosis liver disease. The study, which includes 11 clinical sites in North America, was led by Michael Narkewicz, MD, professor of pediatrics from the University of Colorado School of Medicine and Children's Hospital Colorado. The findings of the study are published today ahead of print in The Journal of Pediatrics. (2020-02-12)

What interventional radiologists need to know about frostbite and amputation
An ahead-of-print article in the April issue of the American Journal of Roentgenology (AJR) reviewing various techniques and clinical management paradigms to treat severe frostbite injuries -- relevant for interventional radiology, especially--showed promising results using both intraarterial and intravenous tissue plasminogen activator to reduce amputation. AJR's meta-analysis of thrombolytic therapy updates the guidelines for all interventional radiologists, including a suggested protocol, inclusion and exclusion criteria, and potential complications. (2020-02-06)

MRI tool can diagnose difficult cases of ovarian cancer
Researchers have developed a new MRI tool that can identify cases of ovarian cancer which are difficult to diagnose using standard methods. (2020-01-30)

Presence of blood clot associated with rapid aortic aneurysm growth
The presence of a blood clot on the wall of the aorta in people with abdominal aortic aneurysms is associated with more rapid, potentially dangerous growth in the aneurysm, according to a major new study. Researchers said the findings could help identify which patients need more aggressive treatment and more frequent follow-up imaging after their initial diagnosis. (2020-01-28)

Abnormal imaging findings key to EVALI diagnosis in vapers
Pulmonary imaging is important in the diagnosis of the acute lung injury associated with vaping, known as electronic cigarette or vaping product use-associated lung injury (EVALI), according to a new special review article. The report outlines what is currently known about this condition and discusses remaining questions. (2020-01-28)

AJR researchers take step toward automating thyroid cancer triage
An article published ahead-of-print in the April issue of the American Journal of Roentgenology (AJR) details how a Stanford University team developed a quantitative framework able to sonographically differentiate between benign and malignant thyroid nodules at a level comparable to that of expert radiologists, which could provide second-opinion malignancy risk estimation to clinicians and ultimately help decrease the number of unnecessary biopsies and surgical procedures. (2020-01-23)

Two-year ellipsys data featured at annual Controversies in Dialysis Access (CiDA) Meeting
A landmark two-year follow-up study on the Ellipsys® Vascular Access System was highlighted at the annual Controversies in Dialysis Access (CiDA) meeting, one of the premier dialysis access medical conferences in the world. (2019-12-18)

Study exposes surprise billing by hospital physicians
Patients with private health insurance face a serious risk of being treated and billed by an out-of-network doctor when they receive care at in-network hospitals, according to a new study by Yale researchers. Addressing the issue could reduce health spending by 3.4% -- $40 billion annually, the researchers conclude. (2019-12-16)

Brachytherapy proves effective in treating skin cancer
The use of high-dose-rate brachytherapy to treat elderly patients with common skin cancers offers excellent cure rates and cosmetic outcomes, according to a new study. (2019-12-04)

AI improves chest X-ray interpretation
A sophisticated type of artificial intelligence (AI) can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists, according to a new study. Researchers said their findings, based on a type of AI called deep learning, could provide a valuable resource for the future development of AI chest radiography models. (2019-12-03)

RSNA 2019 presents session on lung injury from vaping
E-cigarette use is on the rise. According to the Centers for Disease Control and Prevention, more than 9 million adults in the US use e-cigarettes, and vaping has become especially popular among teens. A panel of medical professionals will discuss the public health impact of e-cigarette use, or 'vaping.' (2019-12-02)

Best of the best: Who makes the most accurate decisions in expert groups?
New method predicts accuracy on the basis of similarity. (2019-11-20)

Deep learning assists in detecting malignant lung cancers
Radiologists assisted by deep-learning based software were better able to detect malignant lung cancers on chest X-rays, according to new researched. (2019-11-12)

New X-ray technology could revolutionize how doctors identify abnormalities
Using ground-breaking technology, researchers at the University of Maryland, Baltimore County (UMBC) and University of Baltimore (UMB) are testing a new method of X-ray imaging that uses color to identify microfractures in bones. Microfractures were previously impossible to see using standard X-ray imaging. (2019-11-07)

Radiology: Cardiothoracic Imaging publishes special report on vaping
Radiology: Cardiothoracic Imaging has published a special report on lung injury resulting from the use of electronic cigarettes, or 'vaping.' Researchers aim to raise awareness among radiologists and other medical professionals on how to identify e-cigarette or vaping product use-associated lung injury. (2019-10-31)

AI rivals expert radiologists at detecting brain hemorrhages
An algorithm developed by scientists at UC San Francisco and UC Berkeley did better than two out of four expert radiologists at finding tiny brain hemorrhages in head scans -- an advance that one day may help doctors treat patients with traumatic brain injuries (TBI), strokes and aneurysms. The continued increase in diagnostic imaging studies, including 3D imaging studies such as computed tomography (CT), means that radiologists are looking at thousands of images each day. (2019-10-21)

Combination of AI & radiologists more accurately identified breast cancer
An artificial intelligence (AI) tool accurately identified breast cancer when combined with analysis by radiologists. (2019-10-17)

AI system more accurately identifies collapsed lungs using chest X-rays
New assistive technology can diagnose collapsed lungs from chest X-rays with a higher degree of accuracy than radiologists. The system, developed at the University of Waterloo, uses artificial intelligence (AI) software to search a huge database of X-ray images with known diagnoses for comparison to X-rays of new patients with unknown conditions. (2019-10-16)

American Journal of Roentgenology finds no consensus on handling outside imaging studies
According to an ahead-of-print article published in the January issue of the American Journal of Roentgenology (AJR), there is 'no consensus' among academic radiologists regarding how to handle second-opinion consultations on outside studies. Developing best practices could help radiologists 'gain more clarity from a malpractice mitigation standpoint and have greater leverage with payers for appropriate reimbursement for their professional expertise.' (2019-10-04)

Radiology organizations publish statement on ethics of AI in Radiology
Experts in the use of artificial intelligence (AI) in radiology, from many of the world's leading radiology, medical physics and imaging informatics groups, today published an aspirational statement to guide the development of AI in radiology. The multi-society statement focuses on three major areas: data, algorithms and practice. (2019-10-01)

AI system accurately detects key findings in chest X-rays of pneumonia patients within 10 seconds
From 20 minutes or more to 10 seconds. Researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how quickly a new system they studied that utilizes artificial intelligence took to accurately identify key findings in chest X-rays of patients in the emergency department suspected of having pneumonia. (2019-09-30)

Diagnostic radiologists with lifetime ABR certificates less likely to participate in MOC
An ahead-of-print article from AJR discovers lifetime-certified diagnostic radiologists whose Maintenance of Certification was not mandated by the American Board of Radiology were far less likely to participate in ABR MOC programs--especially general radiologists and those working in smaller, nonacademic practices in states with lower population densities 'Many opinions have been expressed regarding MOC in radiology, but there is actually very little public data on the matter,' says Andrew Rosenkrantz, ARRS Leonard Berlin Scholar. (2019-09-20)

CU researchers: Fast MRIs offer alternative to CT scans for pediatric head injuries
Researchers from the University of Colorado School of Medicine have released a study that shows that a new imaging method 'fast MRI' is effective in identifying traumatic brain injuries in children, and can avoid exposure to ionizing radiation and anesthesia. (2019-09-18)

Collaboration sees sustained increase in imaging history quality from ordering providers
American Journal of Roentgenology 'Original Research' article standardizes the definition of complete imaging history and engineers systems to include supportive prompts in the order entry interface with a single keystroke -- sustainably improving the quality of all imaging histories. (2019-08-07)

AI improves efficiency and accuracy of digital breast tomosynthesis
Artificial intelligence (AI) helps improve the efficiency and accuracy of an advanced imaging technology used to screen for breast cancer, according to a new study. (2019-07-31)

Machine learning approach for low-dose CT imaging yields superior results
Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality. Those new research findings will be published Monday in Nature Machine Intelligence by engineers at Rensselaer Polytechnic Institute and radiologists at Massachusetts General Hospital and Harvard Medical School. (2019-06-10)

New study evaluates transcatheter dialysis conduit procedures over 15 years
A new research study by Harvey L. Neiman Health Policy Institute found that utilization of invasive procedures on hemodialysis conduits -- artificially constructed shuts used by many individuals who require dialysis -- increased markedly from 2001 through 2015 for nephrologists and declined for radiologists. The study is published online in the Journal of Vascular and Interventional Radiology (JVIR). (2019-05-29)

A Finnish study proves the presence of oral bacteria in cerebral emboli
Researchers at Tampere University have shown for the first time that the cerebral emboli of stroke patients contain DNA from oral pathogens. The research article has been published in the Journal of American Heart Association. (2019-05-23)

Artificial intelligence system spots lung cancer before radiologists
Artificial intelligence was able to detect malignant lung nodules on low-dose chest computed tomography scans with a performance meeting or exceeding that of expert radiologists, reports a new study from Google and Northwestern Medicine.This deep-learning system provides an automated image evaluation system to enhance the accuracy of early lung cancer diagnosis that could lead to earlier treatment. Lung cancer is most common cause of cancer deaths in US and is harder to treat when diagnosed at advanced stages. (2019-05-20)

Fibro-adipose vascular anomaly: Old wine or new cocktail?
Unique clinico-radiological features of a provisionally unclassified vascular anomaly can assist radiologists in identifying this uncommon distinct entity, according to a study to be presented at the ARRS 2019 Annual Meeting, set for May 5-10 in Honolulu, Hawaii. (2019-05-08)

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