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The LEGATOS technique: A new tissue-validated dynamic contrast-enhanced MRI method for whole-brain, high-spatial resolution parametric mapping.
Li, Ka-Loh; Lewis, Daniel; Coope, David J; Roncaroli, Federico; Agushi, Erjon; Pathmanaban, Omar N; King, Andrew T; Zhao, Sha; Jackson, Alan; Cootes, Timothy; Zhu, Xiaoping.
  • Li KL; Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.
  • Lewis D; Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.
  • Coope DJ; Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.
  • Roncaroli F; Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.
  • Agushi E; Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.
  • Pathmanaban ON; Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.
  • King AT; Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
  • Zhao S; Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.
  • Jackson A; Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
  • Cootes T; Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.
  • Zhu X; Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.
Magn Reson Med ; 86(4): 2122-2136, 2021 10.
Article en En | MEDLINE | ID: mdl-33991126
PURPOSE: A DCE-MRI technique that can provide both high spatiotemporal resolution and whole-brain coverage for quantitative microvascular analysis is highly desirable but currently challenging to achieve. In this study, we sought to develop and validate a novel dual-temporal resolution (DTR) DCE-MRI-based methodology for deriving accurate, whole-brain high-spatial resolution microvascular parameters. METHODS: Dual injection DTR DCE-MRI was performed and composite high-temporal and high-spatial resolution tissue gadolinium-based-contrast agent (GBCA) concentration curves were constructed. The high-temporal but low-spatial resolution first-pass GBCA concentration curves were then reconstructed pixel-by-pixel to higher spatial resolution using a process we call LEGATOS. The accuracy of kinetic parameters (Ktrans , vp , and ve ) derived using LEGATOS was evaluated through simulations and in vivo studies in 17 patients with vestibular schwannoma (VS) and 13 patients with glioblastoma (GBM). Tissue from 15 tumors (VS) was examined with markers for microvessels (CD31) and cell density (hematoxylin and eosin [H&E]). RESULTS: LEGATOS derived parameter maps offered superior spatial resolution and improved parameter accuracy compared to the use of high-temporal resolution data alone, provided superior discrimination of plasma volume and vascular leakage effects compared to other high-spatial resolution approaches, and correlated with tissue markers of vascularity (P ≤ 0.003) and cell density (P ≤ 0.006). CONCLUSION: The LEGATOS method can be used to generate accurate, high-spatial resolution microvascular parameter estimates from DCE-MRI.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Medios de Contraste Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Medios de Contraste Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article