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Dynamic contrast-enhanced MRI: Study of inter-software accuracy and reproducibility using simulated and clinical data.
Beuzit, Luc; Eliat, Pierre-Antoine; Brun, Vanessa; Ferré, Jean-Christophe; Gandon, Yves; Bannier, Elise; Saint-Jalmes, Hervé.
Afiliação
  • Beuzit L; Department of Radiology, CHU Rennes, France.
  • Eliat PA; PRISM-Biosit CNRS UMS 3480, INSERM UMS 018, University of Rennes 1, France.
  • Brun V; Department of Radiology, CHU Rennes, France.
  • Ferré JC; Department of Radiology, CHU Rennes, France.
  • Gandon Y; Neurinfo MR Imaging Platform, University of Rennes 1, France.
  • Bannier E; Department of Radiology, CHU Rennes, France.
  • Saint-Jalmes H; Department of Radiology, CHU Rennes, France.
J Magn Reson Imaging ; 43(6): 1288-300, 2016 06.
Article em En | MEDLINE | ID: mdl-26687041
PURPOSE: To test the reproducibility and accuracy of pharmacokinetic parameter measurements on five analysis software packages (SPs) for dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), using simulated and clinical data. MATERIALS AND METHODS: This retrospective study was Institutional Review Board-approved. Simulated tissues consisted of pixel clusters of calculated dynamic signal changes for combinations of Tofts model pharmacokinetic parameters (volume transfer constant [K(trans) ], extravascular extracellular volume fraction [ve ]), longitudinal relaxation time (T1 ). The clinical group comprised 27 patients treated for rectal cancer, with 36 3T DCE-MR scans performed between November 2012 and February 2014, including dual-flip-angle T1 mapping and a dynamic postcontrast T1 -weighted, 3D spoiled gradient-echo sequence. The clinical and simulated images were postprocessed with five SPs to measure K(trans) , ve , and the initial area under the gadolinium curve (iAUGC). Modified Bland-Altman analysis was conducted, intraclass correlation coefficients (ICCs) and within-subject coefficients of variation were calculated. RESULTS: Thirty-one examinations from 23 patients were of sufficient technical quality and postprocessed. Measurement errors were observed on the simulated data for all the pharmacokinetic parameters and SPs, with a bias ranging from -0.19 min(-1) to 0.09 min(-1) for K(trans) , -0.15 to 0.01 for ve , and -0.65 to 1.66 mmol.L(-1) .min for iAUGC. The ICC between SPs revealed moderate agreement for the simulated data (K(trans) : 0.50; ve : 0.67; iAUGC: 0.77) and very poor agreement for the clinical data (K(trans) : 0.10; ve : 0.16; iAUGC: 0.21). CONCLUSION: Significant errors were found in the calculated DCE-MRI pharmacokinetic parameters for the perfusion analysis SPs, resulting in poor inter-software reproducibility. J. Magn. Reson. Imaging 2016;43:1288-1300.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Software / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Neoplasias Renais / Meglumina / Modelos Biológicos Tipo de estudo: Diagnostic_studies / Evaluation_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Software / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Neoplasias Renais / Meglumina / Modelos Biológicos Tipo de estudo: Diagnostic_studies / Evaluation_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2016 Tipo de documento: Article