Feature | Radiology Imaging | September 01, 2017 | Melinda Taschetta-Millane

Most Popular Radiology Content in August 2017 on ITN

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Lymphocytic Inflammation in a Lung from a Patient Who Died from Covid-19. The gross appearance of a lung from a patient who died from coronavirus disease 2019 (Covid-19) is shown in Panel A (the scale bar corresponds to 1 cm). The histopathological examination, shown in Panel B, revealed interstitial and perivascular predominantly lymphocytic pneumonia with multifocal endothelialitis (hematoxylin–eosin staining; the scale bar corresponds to 200 μm).

Lymphocytic Inflammation in a Lung from a Patient Who Died from Covid-19. The gross appearance of a lung from a patient who died from coronavirus disease 2019 (Covid-19) is shown in Panel A (the scale bar corresponds to 1 cm). The histopathological examination, shown in Panel B, revealed interstitial and perivascular predominantly lymphocytic pneumonia with multifocal endothelialitis (hematoxylin–eosin staining; the scale bar corresponds to 200 μm). Image courtesy of The New England Journal of Medicine

News | Coronavirus (COVID-19) | May 22, 2020
May 22, 2020 — In a new study in the New
Butterfly iQ devices provide revolutionary portable ultrasound capabilities for faster and easier screening and monitoring
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May 20, 2020 —Atrium Health is one of the first major health systems in the nation to put into wide practice a new...
Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-

Figure 1: Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-CoV-2. The CNN model identified abnormal features in the right lower lobe (white color), whereas the two radiologists labeled this CT as negative. (b) A 52-year-old female who had a history of exposure to SARS-CoV-2 and presented with fever and productive cough. Bilateral peripheral ground-glass opacities (arrows) were labeled by the radiologists, and the CNN model predicted positivity based on features in matching areas. (c) A 72-year-old female with exposure history to the animal market in Wuhan presented with fever and productive cough. The segmented CT image shows ground-glass opacity in the anterior aspect of the right lung (arrow), whereas the CNN model labeled this CT as negative. (d) A 59-year-old female with cough and exposure history. The segmented CT image shows no evidence of pneumonia, and the CNN model also labeled this CT as negative.  

News | Coronavirus (COVID-19) | May 19, 2020
May 19, 2020 — Mount Sinai researchers are the first in the country to use...
Advanced imaging data exchange is now live in Colorado due to the partnership of Health Images and the Colorado Regional Health Information Organization

Getty Images

News | Radiology Business | May 18, 2020
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Radiologists from Shanghai discuss modifying exam process and disinfecting exam room, while outlining personal protection measures during the coronavirus disease outbreak

(HIS = hospital information system, RIS = radiology information system) Image courtesy of American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | May 18, 2020
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Chest radiograph of a 23-year-old male with no past medical history who tested positive for COVID-19 via RT-PCR and was subsequently discharged from the emergency department with home care and isolation precautions. Portable CXR shows right and left peripheral lower lung zone hazy opacities; total score=2

Top image: Chest radiograph of a 23-year-old male with no past medical history who tested positive for COVID-19 via RT-PCR and was subsequently discharged from the emergency department with home care and isolation precautions. Portable CXR shows right and left peripheral lower lung zone hazy opacities; total score=2.

Bottom image: Chest radiograph in a 32-year-old overweight (BMI=30) COVID-19 positive male with a history of childhood asthma who was subsequently admitted and intubated in the ICU for 3 days. Portable CXR shows opacities in all three right lung zones and in the left middle and lower lung zones; total score=5. Image courtesy of Mount Sinai Health System

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Now a research team — led by Tohoku University Professor, Wataru Yashiro — has developed a new method using intense synchrotron radiation that produces higher quality images within milliseconds.

How the bent crystal changes the direction of the X-rays. Image courtesy of Tohoku University

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Colored areas of the brain represent regions where the loss of brain synapses in people with early-stage Alzheimer’s was greater than people with normal cognitive function.

Colored areas of the brain represent regions where the loss of brain synapses in people with early-stage Alzheimer’s was greater than people with normal cognitive function. Image courtesy of YaleNews.

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COVID-19 patient CT scan showing numerous ground glass lesions associated with SARS-CoV-2 pneumonia.
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John Kim, M.D., chairman, Department of Radiology, THR Presbyterian Plano, Texas, and chief technology officer at Tex