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Thoracic Imaging: Page 55
SNMMI updates ventilation study guidance
By
Rebekah Moan
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) has updated its statement regarding the use of ventilation/perfusion lung studies during the COVID-19 pandemic to recognize that sometimes these studies are clinically necessary.
September 7, 2020
Can AI diagnose heart failure on chest x-rays?
By
Erik L. Ridley
An artificial intelligence (AI) algorithm can provide a promising level of accuracy for diagnosing heart failure on chest radiographs, according to a presentation from Japanese researchers at the recent European Society of Cardiology virtual congress.
September 7, 2020
AI can spot smokers at high risk of cancer on x-rays
By
Erik L. Ridley
By analyzing chest radiographs and a patient's electronic medical record (EMR), a deep-learning algorithm was able to identify more high-risk smokers who could benefit from CT lung cancer screening than current Medicare eligibility criteria, according to research published September 1 in the
Annals of Internal Medicine
.
September 3, 2020
SARS-CoV-2 has characteristic appearance on x-ray
By
Kate Madden Yee
The SARS-CoV-2 virus has a particular appearance on chest x-ray that carries a high specificity and positive predictive value for COVID-19 infection -- a finding that could help clinicians more quickly diagnose the illness, according to a study published September 3 in
Radiology: Cardiothoracic Imaging
.
September 2, 2020
FDA clears Fujifilm Sonosite POCUS for COVID-19 use
By
AuntMinnie.com staff writers
Ultrasound developer Fujifilm SonoSite has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) to market the use of its point-of-care ultrasound (POCUS) for performing lung and cardiac imaging of COVID-19 patients.
September 2, 2020
GE brings Critical Care Suite to Canada
By
AuntMinnie.com staff writers
GE Healthcare has received a license from Health Canada for its Critical Care Suite of artificial intelligence algorithms for chest x-rays.
September 1, 2020
Chest CT effective for COVID-19 diagnosis
By
Kate Madden Yee
French researchers have found that chest CT is an effective tool for initial diagnosis of COVID-19, according to a study published September 1 in
Radiology
. The results challenge current guidelines that have discouraged initial use of CT for COVID-19.
September 1, 2020
Virtual imaging trials could optimize COVID-19 imaging
By
Erik L. Ridley
Researchers have created computerized models of lung abnormalities on CT scans of patients with COVID-19, according to an August 28 study in the
American Journal of Roentgenology
. The virtual imaging models can be used like computerized phantoms for research into the use of imaging to detect and monitor the disease.
September 1, 2020
Vaping injuries show particular pattern on CT
By
Kate Madden Yee
Lung injuries caused by electronic cigarette or vaping product use-associated lung injury (EVALI) have a particular pattern on CT -- namely ground-glass opacity, according to a study published August 27 in
Radiology: Cardiothoracic Imaging
.
August 26, 2020
AI algorithm may be generalizable for spotting COVID-19
By
Erik L. Ridley
An artificial intelligence (AI) algorithm trained on a large, multinational dataset can be highly accurate for identifying COVID-19 pneumonia on chest CT scans, according to research published online August 14 in
Nature Communications
. It can also be highly specific for non-COVID-19-related pneumonias.
August 20, 2020
Transcranial ultrasound helps solve COVID-19 mystery
By
Theresa Pablos
Ultrasound scans with a robotic transcranial Doppler device provided a clue into why patients with COVID-19 experience severe hypoxemia without lung stiffness. In a serendipitous discovery, researchers linked the ultrasound findings to suspiciously low oxygen levels in patients with severe cases of COVID-19.
August 20, 2020
3D CT models can help assess COVID-19 lung damage
By
Erik L. Ridley
Can advanced visualization techniques used to research the lungs of reptiles and birds also help diagnose COVID-19 in humans? Applying methods from evolutionary anatomy research, a Louisiana State University team has created 3D digitally segmented models that demonstrate the extent and distribution of the disease.
August 19, 2020
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