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Arthroscopy-validated Diagnostic Performance of 7-Minute Five-Sequence Deep Learning Super-Resolution 3-T Shoulder MRI

Year: 2025

Type: article

Abstract: Seven-minute threefold parallel imaging–accelerated deep learning super-resolution 3-T shoulder MRI showed robust diagnostic performance, yielding images of high quality and depicting shoulder abnormalities with good to excellent accuracy.

Source: Radiology

DOI: 10.1148/radiol.241351

Authors: Jan Vosshenrich, Mary Bruno, Tatiane Cantarelli Rodrigues, Ricardo Donners, Meghan Jardon, Yannik Leonhardt, Shana G. Neumann, Michael Recht, Aline Serfaty, Steven E. Stern, Jan Fritz

Institutions: University of Basel, University Hospital of Basel, New York University, Hospital do Coração, TUM Klinikum, Technical University of Munich, Bond University

Language: English

Topic: Shoulder Injury and Treatment

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4407677872

FWCI: 12.09

Cites: 37

Cited by: 15

Related to: 10