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Quality-based pharmacokinetic model selection on DCE-MRI for characterizing orbital lesions.
Lecler, Augustin; Balvay, Daniel; Cuenod, Charles-André; Marais, Louise; Zmuda, Mathieu; Sadik, Jean-Claude; Galatoire, Olivier; Farah, Edgar; El Methni, Jonathan; Zuber, Kevin; Bergès, Olivier; Savatovsky, Julien; Fournier, Laure.
Afiliação
  • Lecler A; Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, Paris, France.
  • Balvay D; Université Paris Descartes Sorbonne Paris Cité, INSERM UMR-S970, Cardiovascular Research Center - PARCC, Paris, France.
  • Cuenod CA; Université Paris Descartes Sorbonne Paris Cité, INSERM UMR-S970, Cardiovascular Research Center - PARCC, Paris, France.
  • Marais L; Université Paris Descartes Sorbonne Paris Cité, INSERM UMR-S970, Cardiovascular Research Center - PARCC, Paris, France.
  • Zmuda M; Radiology Department, Hôpital Européen Georges Pompidou, Université Paris Descartes Sorbonne Paris Cité, Assistance Publique-Hôpitaux de Paris, Paris, France.
  • Sadik JC; Université Paris Descartes Sorbonne Paris Cité, INSERM UMR-S970, Cardiovascular Research Center - PARCC, Paris, France.
  • Galatoire O; Department of Orbitopalpebral Surgery, Foundation Adolphe de Rothschild Hospital, Paris, France.
  • Farah E; Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, Paris, France.
  • El Methni J; Department of Orbitopalpebral Surgery, Foundation Adolphe de Rothschild Hospital, Paris, France.
  • Zuber K; Department of Orbitopalpebral Surgery, Foundation Adolphe de Rothschild Hospital, Paris, France.
  • Bergès O; MAP5, UMR CNRS 8145, Université Paris Descartes, Sorbonne Paris Cité, France.
  • Savatovsky J; Department of Clinical Research, Foundation Adolphe de Rothschild Hospital, Paris, France.
  • Fournier L; Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, Paris, France.
J Magn Reson Imaging ; 50(5): 1514-1525, 2019 11.
Article em En | MEDLINE | ID: mdl-30989761
ABSTRACT

BACKGROUND:

Although several studies have evaluated dynamic contrast-enhanced (DCE) MRI in the orbit, showing its utility when detecting and diagnosing orbital lesions, none have evaluated the pharmacokinetic models.

PURPOSE:

To provide a quality-based pharmacokinetic model selection for characterizing orbital lesions using DCE-MRI at 3.0T. STUDY TYPE Prospective. POPULATION From December 2015 to April 2017, 151 patients with an orbital lesion underwent MRI prior to surgery, including a high temporal resolution DCE sequence, divided into one training and one test dataset with 100 and 51 patients, respectively. FIELD STRENGTH/SEQUENCE 3T/DCE. ASSESSMENT Six different pharmacokinetic models were tested. STATISTICAL TESTS Univariate and multivariate analyses were performed using Wilcoxon-2-sample tests and a logistic regression to compare parameters between malignant and benign tumors for each pharmacokinetic model for the whole cohort. Receiver operating characteristic (ROC) curve analyses were performed on the training dataset to determine area under curve (AUC) and optimal cutoff values for each pharmacokinetic model, then validated on the test dataset to calculate sensitivity, specificity, and accuracy.

RESULTS:

Regardless of the model, tissue blood flow and tissue blood volume values were significantly higher in malignant vs. benign lesions 103.8-195.1 vs. 65-113.8, P [<10-4 -2.10-4 ] and 21.3-36.9 vs. 15.6-33.6, P [<10-4 -0.03] respectively. Extracellular volume fraction and permeability-surface area product or transfer constant appeared to be less relevant 17.3-27.5 vs. 22.8-28.2, P [0.01-0.7], 1.7-4.9, P [0.2-0.9] and 9.5-38.8 vs. 8.1-22.8, P [<10-4 -0.6], respectively. ROC curves showed no significant differences in AUC between the different models. The two-compartment exchange (2CX) model ranked first for quality. DATA

CONCLUSION:

DCE MRI pharmacokinetic model-derived parameters appeared to be useful for discriminating benign from malignant orbital lesions. The 2CX model provided the best quality of modeling and should be recommended. Perfusion-related DCE parameters appeared to be significantly more relevant to the diagnostic process. Level of Evidence 1 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2019;501514-1525.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias Orbitárias / Imageamento por Ressonância Magnética / Meios de Contraste Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias Orbitárias / Imageamento por Ressonância Magnética / Meios de Contraste Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França