Deep learning-driven abbreviated knee MRI protocols: diagnostic accuracy in clinical practice.

Journal: La Radiologia medica
Published Date: Jul 4, 2025

Abstract

BACKGROUND: Deep learning (DL) reconstruction shows potential in reducing MRI acquisition times while preserving image quality, but the impact of varying acceleration factors on knee MRI diagnostic accuracy remains undefined.

Authors

  • Giovanni Foti
    Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37024, Negrar (VR), Italy. gfoti81@yahoo.it.
  • Flavio Spoto
    Department of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, 37024 Negrar, Italy.
  • Alessandro Spezia
    Department of Radiology, Policlinico Universitario GB Rossi, 37134 Verona, Italy.
  • Luigi Romano
    Department of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, 37024 Negrar, Italy.
  • Simone Caia
    Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37024, Negrar, VR, Italy.
  • Francesco Camerani
    Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37024, Negrar, VR, Italy.
  • Damiano Benedetti
    Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37024, Negrar, VR, Italy.
  • Thomas Mignolli
    Department of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, 37024 Negrar, Italy.

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