Artificial intelligence solution to accelerate the acquisition of MRI images: Impact on the therapeutic care in oncology in radiology and radiotherapy departments.

Journal: Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Published Date: Jun 11, 2024

Abstract

PURPOSE: MRI is essential in the management of brain tumours. However, long waiting times reduce patient accessibility. Reducing acquisition time could improve access but at the cost of spatial resolution and diagnostic quality. A commercially available artificial intelligence (AI) solution, SubtleMR™, can increase the resolution of acquired images. The objective of this prospective study was to evaluate the impact of this algorithm that halves the acquisition time on the detectability of brain lesions in radiology and radiotherapy.

Authors

  • R Lemaire
    Medical Physics Department, centre François-Baclesse, 14000 Caen, France.
  • C Raboutet
    Radiology Department, centre François-Baclesse, 14000 Caen, France.
  • T Leleu
    Radiotherapy Department, centre François-Baclesse, 14000 Caen, France.
  • C Jaudet
    Medical Physics Department, centre François-Baclesse, 14000 Caen, France.
  • L Dessoude
    Radiotherapy Department, centre François-Baclesse, 14000 Caen, France.
  • F Missohou
    Radiotherapy Department, centre François-Baclesse, 14000 Caen, France.
  • Y Poirier
    Radiology Department, centre François-Baclesse, 14000 Caen, France.
  • P-Y Deslandes
    Informatics Department, centre François-Baclesse, 14000 Caen, France.
  • A Lechervy
    UMR Greyc, Normandie Université, UniCaen, EnsiCaen, CNRS, 14000 Caen, France.
  • J Lacroix
    Radiology Department, centre François-Baclesse, 14000 Caen, France.
  • I Moummad
    Medical Physics Department, centre François-Baclesse, 14000 Caen, France; IMT Atlantique, Lab-Sticc, UMR CNRS 6285, 29238 Brest, France.
  • S Bardet
    Nuclear Medicine Department, centre François-Baclesse, 14000 Caen, France.
  • J Thariat
    Radiotherapy Department, centre François-Baclesse, 14000 Caen, France.
  • D Stefan
    Radiotherapy Department, centre François-Baclesse, 14000 Caen, France.
  • A Corroyer-Dulmont
    Medical Physics Department, centre François-Baclesse, 14000 Caen, France; Université de Caen Normandie, CNRS, Normandie Université, ISTCT UMR6030, GIP Cyceron, 14000 Caen, France. Electronic address: a.corroyer-dulmont@baclesse.unicancer.fr.

Keywords

External Resources

Popular Topics
Recent Journals