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MRI biomarkers in osseous tumors.
Fukuda, Takeshi; Wengler, Kenneth; de Carvalho, Ruben; Boonsri, Pattira; Schweitzer, Mark E.
Afiliação
  • Fukuda T; Department of Radiology, Stony Brook University, Stony Brook, New York, USA.
  • Wengler K; Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA.
  • de Carvalho R; Department of Radiology, Stony Brook University, Stony Brook, New York, USA.
  • Boonsri P; Department of Radiology, Stony Brook University, Stony Brook, New York, USA.
  • Schweitzer ME; Department of Radiology, Stony Brook University, Stony Brook, New York, USA.
J Magn Reson Imaging ; 50(3): 702-718, 2019 09.
Article em En | MEDLINE | ID: mdl-30701624
ABSTRACT
Although radiography continues to play a critical role in osseous tumor assessment, there have been remarkable advances in cross-sectional imaging. MRI has taken a lead in this assessment due to high tissue contrast and spatial resolution, which are well suited for bone lesion assessment. More recently, although somewhat lagging other organ systems, quantitative parameters have shown promising potential as biomarkers for osseous tumors. Among these sequences are chemical shift imaging (CSI), apparent diffusion coefficient (ADC), and intravoxel incoherent motion (IVIM) from diffusion-weighted imaging (DWI), quantitative dynamic contrast enhanced (DCE)-MRI, and magnetic resonance spectroscopy (MRS). In this article, we review the background and recent roles of these quantitative MRI biomarkers for osseous tumors. Level of Evidence 3 Technical Efficacy Stage 3 J. MAGN. RESON. IMAGING 2019. J. Magn. Reson. Imaging 2019;50702-718.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ósseas / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ósseas / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article