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Assessment of 2D conventional and synthetic MRI in multiple sclerosis.
Aymerich, Francesc Xavier; Auger, Cristina; Alonso, Julio; Barros, Andrea; Clarke, Margareta A; Mora, Juan; Arrambide, Georgina; Corral, Juan Francisco; Andrino, Ana; Sastre-Garriga, Jaume; Rovira, Alex.
Afiliação
  • Aymerich FX; Section of Neuroradiology, Department of Radiology (Institut de Diagnòstic per la Imatge), Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Pg Vall d'Hebron 119-129, 08035, Barcelona, Spain. xavier.aymerich.idi@gencat.cat.
  • Auger C; Department of Automatic Control (ESAII), Universitat Politècnica de Catalunya, Barcelona, Spain. xavier.aymerich.idi@gencat.cat.
  • Alonso J; Section of Neuroradiology, Department of Radiology (Institut de Diagnòstic per la Imatge), Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Pg Vall d'Hebron 119-129, 08035, Barcelona, Spain.
  • Barros A; Section of Neuroradiology, Department of Radiology (Institut de Diagnòstic per la Imatge), Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Pg Vall d'Hebron 119-129, 08035, Barcelona, Spain.
  • Clarke MA; Section of Neuroradiology, Department of Radiology (Institut de Diagnòstic per la Imatge), Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Pg Vall d'Hebron 119-129, 08035, Barcelona, Spain.
  • Mora J; Section of Neuroradiology, Department of Radiology (Institut de Diagnòstic per la Imatge), Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Pg Vall d'Hebron 119-129, 08035, Barcelona, Spain.
  • Arrambide G; Section of Neuroradiology, Department of Radiology (Institut de Diagnòstic per la Imatge), Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Pg Vall d'Hebron 119-129, 08035, Barcelona, Spain.
  • Corral JF; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, (Cemcat), Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Barcelona, Spain.
  • Andrino A; Section of Neuroradiology, Department of Radiology (Institut de Diagnòstic per la Imatge), Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Pg Vall d'Hebron 119-129, 08035, Barcelona, Spain.
  • Sastre-Garriga J; Section of Neuroradiology, Department of Radiology (Institut de Diagnòstic per la Imatge), Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Pg Vall d'Hebron 119-129, 08035, Barcelona, Spain.
  • Rovira A; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, (Cemcat), Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Barcelona, Spain.
Neuroradiology ; 64(12): 2315-2322, 2022 Dec.
Article em En | MEDLINE | ID: mdl-35583667
PURPOSE: To qualitatively and quantitatively compare synthetic and conventional MRI sequences acquired on a 1.5-T system for patients with multiple sclerosis (MS). METHODS: Prospective study that involved twenty-seven consecutive relapsing-remitting MS patients scanned on a 1.5-T MRI scanner. The MRI protocol included 2D transverse conventional spin-echo sequences: proton density-weighted (PD), T2-weighted, T2-FLAIR, and T1-weighted. Synthetic images were generated using 2D transverse QRAPMASTER and SyMRI software with the same voxel size, repetition, echo, and inversion times as the conventional sequences. Four raters performed a crosstab qualitative analysis that involved evaluating global image quality, contrast, flow artefacts, and confidence in lesion assessment introducing the concepts of predominance, agreement, and disagreement. A quantitative analysis was also performed and included evaluating the number of lesions (periventricular, juxtacortical, brainstem, and cerebellum) and the contrast-to-noise ratio between regions (CSF, white matter, grey matter, lesions). RESULTS: The global image quality assessment showed predominance for better scores for conventional sequences over synthetic sequences, whereas contrast, confidence in lesion assessment, and flow artefacts showed predominance for agreement between sequences. There was predominance for disagreement between all pairs of raters in most of the evaluated qualitative parameters. Synthetic PD and T2-FLAIR images showed higher contrast-to-noise ratios than the corresponding conventional images for most comparison between regions. There were no significant differences in the number of lesions detected for most of the study regions between conventional and synthetic images. CONCLUSION: Synthetic MRI can be potentially used as an alternative to conventional brain MRI sequences in the assessment of MS.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esclerose Múltipla Tipo de estudo: Observational_studies / Qualitative_research Limite: Humans Idioma: En Revista: Neuroradiology Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esclerose Múltipla Tipo de estudo: Observational_studies / Qualitative_research Limite: Humans Idioma: En Revista: Neuroradiology Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha