Current Radiologists News and Events

Current Radiologists News and Events, Radiologists News Articles.
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Radiological images confirm 'COVID-19 can cause the body to attack itself'
Muscle soreness and achy joints are common symptoms among COVID-19 patients. But for some people, symptoms are more severe, long lasting and even bizarre, including rheumatoid arthritis flares, autoimmune myositis or 'COVID toes.' A new Northwestern Medicine study has, for the first time, confirmed and illustrated the causes of these symptoms through radiological imaging. (2021-02-17)

Impact of patient-reported symptom information on lumbar spine MRI Interpretation
According to an open-access article in ARRS' American Journal of Roentgenology (AJR), in lumbar spine MRI, presumptive pain generators diagnosed using symptom information from brief electronic questionnaires showed almost perfect agreement with pain generators diagnosed using symptom information from direct patient interviews. (2021-01-25)

Dramatic changes to radiotherapy treatments due to COVID-19
Dramatic changes were seen in the delivery of radiotherapy treatments for cancer during the first wave of the coronavirus pandemic in England. Much shorter radiotherapy courses were delivered, treatments were delayed where it was safe to do so and some increases were seen in order to compensate for reduced surgical capacity. Experts believe the changes reflect an impressive adaption of services by the NHS, and that the overall impact on cancer outcomes is likely to be modest. (2021-01-22)

Noted experts challenge conventional wisdom within the field of radiology
A special issue of the Journal of the American College of Radiology (JACR), published by Elsevier, challenges conventional wisdom across the imaging community. This collection of articles, the ''Provocative Issue,'' presents extreme opinions on pressing issues confronting radiologists with the deliberate aim of sparking positive dialog and debate that will lead to innovative solutions to improve patient care and imaging-related outcomes. (2021-01-12)

AI abdominal fat measure predicts heart attack and stroke
Automated deep learning analysis of abdominal CT images produces a more precise measurement of body composition and predicts major cardiovascular events, such as heart attack and stroke, better than overall weight or body mass index (BMI), according to a study presented today at the annual meeting of the Radiological Society of North America (RSNA). (2020-12-02)

Forearm fractures may signal intimate partner violence
Up to one-third of adult women who sustain a non-displaced fracture to the ulna bone of the forearm may be victims of intimate partner violence, according to a study being presented at the annual meeting of the Radiological Society of North America (RSNA). The findings underscore the need to screen for intimate partner violence in women with these types of injuries, researchers said. (2020-11-30)

AI detects COVID-19 on chest x-rays with accuracy and speed
Northwestern University researchers have developed a new artificial intelligence (A.I.) platform that detects COVID-19 by analyzing X-ray images of the lungs. (2020-11-24)

Missing the radiological forest for the trees
Even experienced radiologists, when looking for one abnormality, can completely miss another. The results, published in Psychonomic Bulletin & Review, show that inattentional blindness can befall even experts. (2020-11-18)

AI tool improves breast cancer detection on mammography
Artificial intelligence (AI) can enhance the performance of radiologists in reading breast cancer screening mammograms, according to a new study. (2020-11-04)

Data science pathway prepares radiology residents for machine learning
A recently developed data science pathway for fourth-year radiology residents will help prepare the next generation of radiologists to lead the way into the era of artificial intelligence and machine learning (AI-ML), according to a special report. (2020-11-04)

Review finds almost 20% of COVID-19 patients only show gastrointestinal symptoms
Almost one in five patients with COVID-19 may only show gastrointestinal symptoms, according to a review of academic studies published in the journal Abdominal Radiology. The findings of the review suggest abdominal radiologists need to remain vigilant during the pandemic while imaging patients. (2020-11-03)

AI helps detect brain aneurysms on CT angiography
A powerful type of artificial intelligence known as deep learning can help physicians detect potentially life-threatening cerebral aneurysms on CT angiography, according to a new study. (2020-11-03)

Deep learning model provides rapid detection of stroke-causing blockages
A sophisticated type of artificial intelligence (AI) called deep learning can help rapidly detect blockages in the arteries that supply blood to the head, potentially speeding the onset of life-saving treatment, according to a study. (2020-09-29)

Hypercoagulability in patients with coronavirus disease (COVID-19)
In this AJR article, 82 patients with COVID-19 who underwent abdominal ultrasound or CT were retrospectively compared with 82 patients without COVID-19 for thromboembolism and solid-organ infarction. Nine (11%) patients with COVID-19 had thromboembolic findings, with medium to large arterial thrombi in five. One patient without COVID-19 had known portal vein thrombus on CT. Thromboembolic findings occurred more frequently in patients with than without COVID-19 (p = 0.02). (2020-09-24)

Stroke scans could reveal COVID-19 infection
New research from King's College London has found that COVID-19 may be diagnosed on the same emergency scans intended to diagnose stroke. (2020-09-17)

Thermal imaging enhances engineers' understanding of breast tumors
New research performed at The University of Texas at Dallas and published June 22 in Nature Research's Scientific Reports takes a critical step toward making digital infrared thermal imaging more useful for monitoring breast cancer. (2020-09-08)

LSU Health New Orleans radiologists find chest X-rays highly predictive of COVID-19
A team of LSU Health New Orleans radiologists investigated the usefulness of chest x-rays in COVID-19 and found they could aid in a rapid diagnosis of the disease, especially in areas with limited testing capacity or delayed test results. (2020-09-03)

Lung injuries from vaping have characteristic patterns on CT
Injuries to the lungs from vaping have suggestive patterns on CT scans that could help physicians make accurate diagnoses and reduce unnecessary biopsies, according to a new study. (2020-08-27)

AI as good as the average radiologist in identifying breast cancer
Researchers at Karolinska Institutet and Karolinska University Hospital in Sweden have compared the ability of three different artificial intelligence (AI) algorithms to identify breast cancer based on previously taken mammograms. The best algorithm proved to be as accurate as the average radiologist. The results, published in JAMA Oncology, may lead the way in reorganising breast cancer screening for the future. (2020-08-27)

Electronic consultations between primary providers and radiologists improve patient care
According to ARRS' American Journal of Roentgenology (AJR), the eConsult electronic consultation system allowed primary care providers to easily consult with radiologists, was perceived as high value by primary care providers, resulted in altered patient management, and avoided unnecessary imaging tests. ''We identified follow-up imaging of cystic lesions and imaging workup of pain in patients as opportunities for continuing medical education for primary care providers,'' the AJR authors wrote. (2020-08-19)

Radiology reveals alarming rise in intimate partner violence during COVID-19 pandemic
Investigators assessed the incidence, pattern and severity of injuries related to Intimate Partner Violence in patients at the Brigham during the COVID-19 pandemic. When they compared IPV injuries from the spring of 2020 to injuries over the previous three years, they found an alarming increase in physical injuries associated with IPV. (2020-08-13)

New study shows increase in domestic violence injuries during COVID-19
There was a higher incidence and severity of physical intimate partner violence (IPV) among patients seen at a large, academic medical center in the US during the COVID-19 pandemic compared with the prior three years, according to a new study. (2020-08-13)

Unread second-opinion radiology reports waste health care resources
According to ARRS' American Journal of Roentgenology (AJR), 537 of 4,696 second-opinion reports--11.4%, likely underestimated, too--were not read by a clinician. The imaging modality with the highest rate of not being read was sonography (62.5%), the requesting specialty with the highest rate was pediatrics (33.8%), and the radiologic subspecialty with the highest rate was interventional radiology (52.2%). (2020-08-13)

Radiology practices struggle to survive amid COVID-19
Private radiology practices have been especially hard hit by the COVID-19 pandemic, and the steps they take to mitigate the impact of the pandemic on their practice will shape the future of radiology, according to a special report from the Radiological Society of North America (RSNA) COVID-19 Task Force. (2020-07-17)

Chest x-rays show more severe COVID-19 in non-white patients
Racial/ethnic minority patients admitted to the hospital with COVID-19 infection are more likely to have more severe disease on chest X-rays than white/non-Hispanic patients, increasing the likelihood of adverse outcomes, such as intubation or death, according to a new study. (2020-07-16)

Dangerous blood clots form in leg arteries of COVID-19 patients
COVID-19 is associated with life-threatening blood clots in the arteries of the legs, according to a new study. Researchers said COVID-19 patients with symptoms of inadequate blood supply to the lower extremities tend to have larger clots and a significantly higher rate of amputation and death than uninfected people with the same condition. (2020-07-16)

Improving lung cancer CT screening performance in real-world settings
An Online First Accepted Manuscript published in ARRS' American Journal of Roentgenology (AJR) finds that focusing on lung cancer screening (LCS) subjects less likely to remain in the program -- those with negative low-dose CT exams and those who still smoke -- can improve that program's cost-effectiveness and maximize its societal benefits. 'Our study demonstrates that a real-world LCS can perform similar to randomized controlled trials in regard to important performance metrics,' the authors of this AJR article conclude. (2020-07-16)

Social media and radiology -- The good, the bad, and the ugly
Radiologists examine social media and report #SoMe can be useful in education, research, mentoring and career development. (2020-07-02)

New study looks at post-COVID-19 emerging disease in children
In recent weeks, a multisystem hyperinflammatory condition has emerged in children in association with prior exposure or infection to SARS-CoV-2. A new case series examines the spectrum of imaging findings in children with the post-COVID-19 inflammatory condition known in the US as Multisystem Inflammatory Syndrome in Children (MIS-C). (2020-06-25)

Towards an AI diagnosis like the doctor's
Artificial intelligence is an important innovation in diagnostics, because it can learn to recognize abnormalities that a doctor would also label as a disease. But the way these systems work is opaque, and doctors have a better ''overall picture'' when they make the diagnosis. In this publication, Radboudumc researchers show how they can make the AI show how it's working, as well as let it diagnose more like a doctor, thus making AI more relevant to clinical practice. (2020-06-24)

Study demonstrates feasibility of hologram technology in liver tumor ablation
Data from one of the first clinical uses of augmented reality guidance with electromagnetically tracked tools shows that the technology may help doctors quickly, safely, and accurately deliver targeted liver cancer treatments, according to a research abstract presented during a virtual session of the Society of Interventional Radiology's 2020 Annual Scientific Meeting on June 14. (2020-06-15)

Artificial intelligence enhances brain tumour diagnosis
A new machine learning approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report in the journal IEEE Access. Scientists in India and Japan, including from Kyoto University's Institute for Integrated Cell-Material Sciences (iCeMS), developed the method to help clinicians choose the most effective treatment strategy for individual patients. (2020-06-09)

Improved MRI scans could aid in development of arthritis treatments
An algorithm which analyses MRI images and automatically detects small changes in knee joints over time could be used in the development of new treatments for arthritis. (2020-06-09)

Teleradiology enables social distancing during coronavirus disease (COVID-19) pandemic
Transitioning from on-site interpretation of imaging studies to remote interpretation via home PACS workstations requires a careful balancing of hospital and departmental finances, engineering choices, and educational and philosophical workflow issues, according to an open-access article published ahead-of-print by the American Journal of Roentgenology (AJR). (2020-05-21)

Chest X-rays in emergency rooms can help predict severity of COVID-19 in young and middle-aged adults
Patterns seen may help quickly identify high-risk patients and prompt more aggressive treatment (2020-05-14)

AI successfully used to identify different types of brain injuries
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries. (2020-05-14)

Experts issue guide on lung cancer screening, management during COVID-19
A new expert panel consensus statement published simultaneously today in the journals Radiology: Imaging Cancer, Chest and the Journal of the American College of Radiology provides guidance to clinicians managing lung cancer screening programs and patients with lung nodules during the COVID-19 pandemic. (2020-04-23)

AI to make dentists' work easier
Finnish researchers have developed a new automatized way to localise mandibular canals. (2020-04-21)

RSNA publishes Fleischner Society statement on chest imaging and COVID-19
A multinational consensus statement from the Fleischner Society on the role of chest imaging in the management of patients with COVID-19 was jointly published today in the journals Radiology and Chest. (2020-04-07)

Artificial intelligence can speed up the detection of stroke
Human emotion system laboratory team at the University of Turku and Turku PET Centre, Finland, introduces a fully automated method for acute ischemic lesion segmentation on brain MRIs and shows how artificial intelligence can reduce the work load of radiologists. (2020-03-30)

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