Chest Radiology: Page 55

How high are complication rates from CT lung screening?
By Kate Madden Yee
A new study on the rate of complications from CT lung cancer screening exams seems to generate more questions than answers. Researchers found a complication rate of almost 17%, which lands toward the high end of previous studies, according to a research letter published December 16 in JAMA Network Open.
December 15, 2020
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MinIP reconstructions boost CT's COVID-19 performance
By Kate Madden Yee
Minimum intensity projection (MinIP) reconstructions improve the accuracy of chest CT exams when it comes to identifying ground-glass opacity in patients with suspected COVID-19 disease, according to a study published December 14 in the European Journal of Radiology.
December 14, 2020
2020 12 15 00 57 6705 Ct Lung Damage Covid 19 400
3D printing, AR can enhance thoracoscopic surgery
By Erik L. Ridley
The combination of 3D printing and augmented reality (AR) technologies can yield better outcomes for planning and guiding thoracoscopic surgeries than relying on virtual 3D lung models displayed on a monitor in the operating room, according to research published online December 1 in the Annals of Thoracic Surgery.
December 13, 2020
2019 12 19 19 44 2284 3 D Printing2 400
AI improves lung cancer detection on x-rays
By Erik L. Ridley
An artificial intelligence (AI) algorithm can catch lung cancers that were initially missed by radiologists on chest radiographs and improve radiologist performance when used as a second reader, according to research published online December 10 in Radiology: Cardiothoracic Imaging.
December 10, 2020
2020 12 11 17 56 0055 2020 12 11 Ai Lung Cancer A C 20201211175644
Pandemic makes ultrasound a practice staple in Italy
By Theresa Pablos
The COVID-19 pandemic has driven internal medicine physicians in Italy to increasingly rely on ultrasound as part of their daily physical examinations, according to a webinar corresponding with the Acoustical Society of America virtual meeting this week.
December 10, 2020
2020 12 11 01 09 7440 2020 12 11 Lung Ultrasound Scan 20201211012429
Gaps in lung nodule follow-up linked to racial disparities
By Kate Madden Yee
Racial disparities affect follow-up of incidental pulmonary nodules detected on CT scans, according to a presentation delivered at the recent virtual RSNA 2020 meeting. Researchers found race to be one of several factors that can affect appropriate follow-up.
December 9, 2020
2020 11 11 23 52 7893 Lung Cancer Ct 3d 400
Aidoc and Imbio team up on AI for pulmonary embolism
By AuntMinnie.com staff writers
Artificial intelligence (AI) software developers Aidoc and Imbio have formed a partnership to develop an AI package for the detection and quantification of pulmonary embolism.
December 7, 2020
2016 08 24 09 43 13 537 Hands Shaking V3 400
AstraZeneca, Qure.ai partner for lung cancer diagnosis
By AuntMinnie.com staff writers
AstraZeneca has partnered with deep-learning algorithm developer Qure.ai to integrate artificial intelligence solutions for the early detection of lung cancer.
December 6, 2020
2018 08 28 18 59 9066 Artificial Intelligence Ai 400
Social factors affect CT lung screening compliance
By Kate Madden Yee
Whether individuals undergo CT lung cancer screening can depend not only on social factors such as unreliable transportation and type of insurance but also on a lack of awareness of screening recommendations, according to research presented Thursday at the virtual RSNA 2020 meeting.
December 3, 2020
2020 12 03 23 01 2984 Cigarette Smoker Closeup 400
Handheld ultrasound is invaluable for COVID-19 imaging
By Theresa Pablos
Handheld ultrasound scanners are invaluable tools for performing imaging in patients with COVID-19, according to a Wednesday presentation at the RSNA 2020 virtual meeting. While CT is the optimal imaging modality for COVID-19, radiologists should consider adding ultrasound to their pandemic imaging arsenal, according to a Chinese researcher.
December 2, 2020
2018 07 27 21 57 8076 Ultrasound Transducer 400
Deep-learning algorithm detects free air on CT images
By Erik L. Ridley
A deep-learning algorithm was able to detect and quantify regions of free air on CT images, enabling patients with these critical pathologies to be prioritized on the radiology worklist, according to a presentation on Wednesday morning at the virtual RSNA 2020 meeting.
December 2, 2020
2019 12 09 17 23 6730 Artificial Intelligence Ai Suit 400
From alligators to COVID-19, 3D images show lung pathology
What do 3D reconstructed images of alligators have to do with COVID-19? Researchers from Louisiana who began working together to image reptiles have leveraged their collaboration into a 3D method for visualizing lung pathology in cases of COVID-19.
December 1, 2020
2020 12 02 00 45 2028 2020 12 01 Minnies Best Radiology Image 400
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