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Multicenter Repeatability and Reproducibility of MR Fingerprinting in Phantoms and in Prostatic Tissue.
Lo, Wei-Ching; Bittencourt, Leonardo Kayat; Panda, Ananya; Jiang, Yun; Tokuda, Junichi; Seethamraju, Ravi; Tempany-Afdhal, Clare; Obmann, Verena; Wright, Katherine; Griswold, Mark; Seiberlich, Nicole; Gulani, Vikas.
Afiliação
  • Lo WC; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
  • Bittencourt LK; Siemens Medical Solutions Inc, Boston, Massachusetts.
  • Panda A; Department of Radiology, University Hospital and Case Western Reserve University, Cleveland, Ohio.
  • Jiang Y; DASA company, Rio de Janeiro, RJ, Brazil.
  • Tokuda J; Department of Radiology, Mayo Clinic, Rochester, Minnesota.
  • Seethamraju R; Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Tempany-Afdhal C; Department of Radiology, Harvard Medical School, Harvard University, Boston, Massachusetts.
  • Obmann V; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
  • Wright K; Siemens Medical Solutions Inc, Boston, Massachusetts.
  • Griswold M; Department of Radiology, Harvard Medical School, Harvard University, Boston, Massachusetts.
  • Seiberlich N; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
  • Gulani V; Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital Bern, University of Bern, Berne, Switzerland.
Magn Reson Med ; 88(4): 1818-1827, 2022 10.
Article em En | MEDLINE | ID: mdl-35713379
ABSTRACT

PURPOSE:

To evaluate multicenter repeatability and reproducibility of T1 and T2 maps generated using MR fingerprinting (MRF) in the International Society for Magnetic Resonance in Medicine/National Institute of Standards and Technology MRI system phantom and in prostatic tissues.

METHODS:

MRF experiments were performed on 5 different 3 Tesla MRI scanners at 3 different institutions University Hospitals Cleveland Medical Center (Cleveland, OH), Brigham and Women's Hospital (Boston, MA) in the United States, and Diagnosticos da America (Rio de Janeiro, RJ) in Brazil. Raw MRF data were reconstructed using a Gadgetron-based MRF online reconstruction pipeline to yield quantitative T1 and T2 maps. The repeatability of T1 and T2 values over 6 measurements in the International Society for Magnetic Resonance in Medicine/National Institute of Standards and Technology MRI system phantom was assessed to demonstrate intrascanner variation. The reproducibility between the 4 clinical scanners was assessed to demonstrate interscanner variation. The same-day test-retest normal prostate mean T1 and T2 values from peripheral zone and transitional zone were also compared using the intraclass correlation coefficient and Bland-Altman analysis.

RESULTS:

The intrascanner variation of values measured using MRF was less than 2% for T1 and 4.7% for T2 for relaxation values, within the range of 307.7 to 2360 ms for T1 and 19.1 to 248.5 ms for T2 . Interscanner measurements showed that the T1 variation was less than 4.9%, and T2 variation was less than 8.1% between multicenter scanners. Both T1 and T2 values in in vivo prostatic tissue demonstrated high test-retest reliability (intraclass correlation coefficient > 0.92) and strong linear correlation (R2  > 0.840).

CONCLUSION:

Prostate MRF measurements of T1 and T2 are repeatable and reproducible between MRI scanners at different centers on different continents for the above measurement ranges.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Próstata / Imageamento por Ressonância Magnética Tipo de estudo: Clinical_trials / Guideline Limite: Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Próstata / Imageamento por Ressonância Magnética Tipo de estudo: Clinical_trials / Guideline Limite: Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article