LEGATOS 技术：一种新的组织验证的动态对比增强 MRI 方法，用于全脑高空间分辨率参数映射。

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

机构信息

Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.

Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.

出版信息

Magn Reson Med. 2021 Oct;86(4):2122-2136. doi: 10.1002/mrm.28842. Epub 2021 May 15.

DOI:10.1002/mrm.28842

PMID:33991126

Abstract

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 , v , and v ) 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.

摘要

目的

一种能够提供高时空分辨率和全脑覆盖的 DCE-MRI 技术，用于进行定量微血管分析，这是非常理想的，但目前难以实现。本研究旨在开发和验证一种新的双时间分辨率（DTR）DCE-MRI 方法，用于推导出准确的、全脑高空间分辨率微血管参数。

方法

进行双注射 DTR DCE-MRI，并构建复合高时间和高空间分辨率组织钆基对比剂（GBCA）浓度曲线。然后，使用我们称为 LEGATOS 的方法，逐像素重建高时间但低空间分辨率的首过 GBCA 浓度曲线，以获得更高的空间分辨率。通过模拟和 17 例前庭神经鞘瘤（VS）和 13 例胶质母细胞瘤（GBM）患者的体内研究，评估使用 LEGATOS 得出的动力学参数（K、v 和 v）的准确性。使用 CD31 等微血管标志物和苏木精和伊红（H&E）等细胞密度标志物检查了 15 个肿瘤（VS）的组织。