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The LEGATOS technique: A new tissue‐validated dynamic contrast‐enhanced MRI method for whole‐brain, high‐spatial resolution parametric mapping
Author(s) -
Li KaLoh,
Lewis Daniel,
Coope David J.,
Roncaroli Federico,
Agushi Erjon,
Pathmanaban Omar N.,
King Andrew T.,
Zhao Sha,
Jackson Alan,
Cootes Timothy,
Zhu Xiaoping
Publication year - 2021
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.28842
Subject(s) - image resolution , temporal resolution , dynamic contrast enhanced mri , gadolinium , biomedical engineering , nuclear medicine , parametric statistics , magnetic resonance imaging , computer science , materials science , radiology , medicine , mathematics , physics , artificial intelligence , optics , statistics , metallurgy
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.