Diagnostic performance of DIXON sequences on low-field scanner for the evaluation of knee joint pathology

Diagnostic performance of DIXON sequences on low-field scanner for the evaluation of knee joint pathology

Authors

  • Flavia Cobianchi Bellisari Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
  • Federico Bruno Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy and Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122, Milan, Italy https://orcid.org/0000-0002-1444-2585
  • Riccardo Monti Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
  • Claudia Cicerone Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
  • Pierpaolo Palumbo Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy and Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122, Milan, Italy
  • Francesco Arrigoni Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
  • Silvia Mariani Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
  • Camilla Gianneramo Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
  • Maria Luisa Mangoni di S. Stefano Dipartimento di Laboratorio di Analisi e dei Servizi, Azienda Sanitaria Locale Napoli 3 Sud
  • Mattia Carbone Department of Radiology, San Giovanni E Ruggi D’Aragona Hospital, Ospedale, Via San Leonardo, Salerno, Italy
  • Francesco Gentili Section of Radiology, Unit of Surgical Sciences, University of Parma, Parma, Italy
  • Maria Antonietta Mazzei Department of Medical, Surgical and Neuro Sciences, University of Siena, Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy
  • Carlo Masciocchi Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
  • Antonio Barile Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy https://orcid.org/0000-0003-0253-3583

Keywords:

Dixon, knee MRI, low-field MR, SPED

Abstract

Background and aim: Recently, there has been a growing interest in the use of Dixon sequence for knee MRI in order to save time spent on the scanner, and improving diagnostic utility. Our purpose was to compare the diagnostic performance of Dixon sequence on low-field MRI with the proton-density sequence on high-field MRI. Methods: This prospective study included 40 patients who underwent 0.25T knee MRI, using the routine protocol with the addition of a sagittal 4-point Dixon sequence (SPED), and an additional sequence on 1.5T scanner, consisting in a fat-suppressed proton-density fast-spin-echo (FS PD-FSE). Two radiologists independently examined the images, evaluating the anatomic identification score and diagnostic performances of the two sequences. Interreader agreement was evaluated using an intraclass correlation coefficient (ICC). Results: Final population counted 34 patients (36 knee MR images) with a mean age of 52.9 years (range, 18–75 years). Interreader agreement was very high except for cartilage injuries at medial femoral condyle and medial tibial plateau (ICC SPED: 0.757, ICC FS PD-FSE: 0.746), even if not statistically significant. There were no significant differences in mean signal-to-noise ratio (SNR), artifacts presence and diagnostic confidence between SPED and PD-FS sequence. Conclusions: Dixon sequences on low-field scanner have a comparable diagnostic accuracy to PD-FS sequence obtained on a high field scanner for knee MR imaging. (www.actabiomedica.it)

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Published

10-09-2021

How to Cite

1.
Cobianchi Bellisari F, Bruno F, Monti R, Cicerone C, Palumbo P, Arrigoni F, et al. Diagnostic performance of DIXON sequences on low-field scanner for the evaluation of knee joint pathology. Acta Biomed [Internet]. 2021 Sep. 10 [cited 2024 Jul. 18];92(S5):e2021403. Available from: https://mattioli1885journals.com/index.php/actabiomedica/article/view/11870