Diagnostic Reading #47: Five “Must Read” Articles on Medical Imaging
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RSNA presentations dominate this week’s headlines.
This week’s articles in Diagnostic Reading include: RSNA presentation offers best practices for COVID-19 care; insight into the radiology AI market; forearm fractures may indicate partner violence; AI helps diagnose TB on a smartphone; and fetal imaging improved with 4D MRI.
New York City neuroradiologists were at times the first to identify COVID-19 incidentally via imaging exams performed for other purposes, according to presentations delivered at the virtual Radiological Society of North America (RSNA) 2020 conference. Neuroradiologists from Lenox Hill Hospital, NYU Langone and Weill Cornell Medicine shared their experiences in coping with COVID-19, and they offered best-practice tips for dealing with the crisis going forward—including focusing on teamwork and staying connected to patients’ families. Read the related blog on Resuming Routine Radiology Care During COVID.
As the radiology artificial intelligence (AI) marketplace is growing quickly, imaging experts must familiarize themselves with tools to stay ahead of the game. Radiologists with Augusta and Emory Universities in Atlanta set out to help with a special report that offers advice and insight into radiology’s AI market, which was published in Radiology: Artificial Intelligence. Read the blog on the Cost/Benefit Analysis of AI in Radiology.
Forearm fractures may signal intimate partner violence – Axis Imaging News
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 presented online at the annual meeting of the Radiological Society of North America (RSNA). “Careful analysis of previous imaging exams may also help radiologists confirm their suspicion of intimate partner violence,” a study co-author stated. The findings underscore the need to screen for intimate partner violence in women with these types of injuries. Read the blog on Educating Yourself for the Possibility of Being a Witness in a Criminal Investigation.
Using AI can help diagnose tuberculosis on a smartphone – Diagnostic Imaging
A photo of a chest X-ray captured by a smartphone can be enough for providers to diagnose tuberculosis (TB), according to research presented during this year’s virtual Radiological Society of North America (RSNA) annual meeting. Applying a deep-learning TB detection model to a photograph of a chest X-ray can help providers in resource-poor countries diagnose the disease, as radiologists and high-resolution images are not always available in these areas. This is the first study to pair a deep learning model with a smartphone for this purpose.
Could 4D MRI be a major leap forward for fetal imaging? – AuntMinnie Europe
Clinicians could have better information about fetal heart health thanks to a new imaging method developed by researchers from London. In a study recently published in Nature Communications, the team described how they used 4D MRI to measure volumetric blood flow. The result is a “massive leap forward” for fetal cardiac MRI, said one of the study authors.