Resources: Page 91

Chest CT gauges COVID-19 disease severity, mortality risk
By Kate Madden Yee
As the COVID-19 pandemic has progressed, chest CT has proved to be a valuable tool not only for diagnosing COVID-19 but also for predicting outcomes. On Sunday at RSNA 2021, investigators shared study results that further demonstrated CT's effectiveness for assessing disease severity and patients' risk of death.
November 27, 2021
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Will cancer death rates increase in wake of COVID-19?
By Kate Madden Yee
During the height of the COVID-19 pandemic, the volume of CT scans performed for cancer screening fell by 82%, while CT scans for other uses dropped as well, according to research to be presented at the upcoming RSNA 2021 meeting.
November 23, 2021
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How to shop for AI, enterprise imaging, and more at RSNA 2021
By Michael J. Cannavo
Imaging consultant Michael J. Cannavo shares his tips for how to shop for artificial intelligence (AI) software, PACS, enterprise imaging, and more at RSNA 2021.
November 23, 2021
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Ultrashort brain MRI cost-effective compared to standard CT
By Kate Madden Yee
Prerecorded, available throughout the meeting | SPR-NR-38Brain MRI with an ultrashort echo time protocol is a cost-effective way of classifying mild or unspecific neurologic symptoms compared to standard- or reduced-dose CT, according to research presented in this prerecorded talk.
November 23, 2021
Deep learning meets need for speed in spine MRI
By Erik L. Ridley
Thursday, December 2 | 9:30 a.m.-10:30 a.m. | SSNR14-5 | Room E353BIn this session, researchers will show how a deep learning-based image reconstruction method can deliver up to 72% faster spine MRI scan times along with perceived improvements in image quality.
November 23, 2021
Can AI enable 90% lower gadolinium dose in brain MRI?
By Erik L. Ridley
Thursday, December 2 | 9:30 a.m.-10:30 a.m. | SSNR14-2 | Room E353BAn artificial intelligence (AI) algorithm can enable high-quality contrast-enhanced brain MRI exams to be acquired using only 10% of the normal dose of a gadolinium-based contrast agent, according to this multicenter clinical study.
November 23, 2021
Deep-learning tool triages women with decreased breast density
By Amerigo Allegretto
Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-4 | Room S406BIn this Wednesday talk, researchers will present findings from their study of nearly 2,700 women that used a convolutional neural network in predicting mammographic density percentage from MRI scans.
November 23, 2021
Explainable artificial intelligence elevates prostate MRI reads
By Erik L. Ridley
Wednesday, December 1 | 8:00 a.m.-8:30 a.m. | SSGU05-4 | Room E353BAn explainable deep-learning software application can be highly accurate for characterizing prostate lesions on biparametric MRI exams, according to this scientific presentation.
November 23, 2021
Combining radiomics, AI with PET/MRI helps assess nodal status
By Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01-3 | Room N226Researchers will discuss in this Sunday session how applying radiomics and machine learning to FDG-PET/MRI can noninvasively assess nodal status and treatment planning for breast cancer patients.
November 23, 2021
Short echo pulmonary MRI effective for Lung-RADS classification
By Kate Madden Yee
Prerecorded, available throughout the meeting | SPR-CH-26Pulmonary MRI with an ultrashort echo time matches the performance of standard- or reduced-dose CT for Lung-RADS classification on lung cancer screening, Japanese investigators have found.
November 23, 2021
Short MRI comparable to CT for assessing interstitial lung disease
By Kate Madden Yee
Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSCH06-5 | Room S405Two ultrashort echo time MRI sequences are comparable to CT when it comes to assessing interstitial lung disease in patients with systemic sclerosis, according to this presentation.
November 23, 2021
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