4.5 Article

The LEGATOS technique: A new tissue-validated dynamic contrast-enhanced MRI method for whole-brain, high-spatial resolution parametric mapping

期刊

MAGNETIC RESONANCE IN MEDICINE
卷 -, 期 -, 页码 -

出版社

WILEY
DOI: 10.1002/mrm.28842

关键词

accurate kinetic parameter mapping; dual‐ temporal resolution DCE‐ MRI; perfusion and permeability; spatial and temporal resolution

资金

  1. Cancer Research UK (CRUK)
  2. Engineering and Physical Sciences Research council (ESPRC) through the Cancer Imaging Centres grant [C8742/A18097]
  3. Dowager Countess Eleanor Peel Trust

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The study introduces a new DCE-MRI method, LEGATOS, which can generate high-spatial resolution microvascular parameter estimates from DTR DCE-MRI data. The accuracy of the method was demonstrated in both simulations and in vivo studies in patients with VS and GBM, showing correlation with tissue markers.
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 (K-trans, v(p), and v(e)) 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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