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混合磁共振直线加速器上的定量磁共振成像:技术与临床验证的视角

Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation.

作者信息

Thorwarth Daniela, Ege Matthias, Nachbar Marcel, Mönnich David, Gani Cihan, Zips Daniel, Boeke Simon

机构信息

Section for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany.

German Cancer Consortium (DKTK), Partner Site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Phys Imaging Radiat Oncol. 2020 Oct 17;16:69-73. doi: 10.1016/j.phro.2020.09.007. eCollection 2020 Oct.

DOI:10.1016/j.phro.2020.09.007
PMID:33458346
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7807787/
Abstract

Many preclinical and clinical observations support that functional magnetic resonance imaging (MRI), such as diffusion weighted (DW) and dynamic contrast enhanced (DCE) MRI, might have a predictive value for radiotherapy. The aim of this review was to assess the current status of quantitative MRI on hybrid MR-Linacs. In a literature research, four publications were identified, investigating technical feasibility, accuracy, repeatability and reproducibility of DW and DCE-MRI in phantoms and first patients. Accuracy and short term repeatability was < 5% for DW-MRI in current MR-Linac systems. Consequently, quantitative imaging providing accurate and reproducible functional information seems possible in MR-Linacs.

摘要

许多临床前和临床观察结果支持,功能磁共振成像(MRI),如扩散加权(DW)和动态对比增强(DCE)MRI,可能对放射治疗具有预测价值。本综述的目的是评估混合磁共振直线加速器上定量MRI的现状。在文献研究中,共确定了四篇出版物,研究了DW和DCE-MRI在体模和首批患者中的技术可行性、准确性、可重复性和再现性。在当前的磁共振直线加速器系统中,DW-MRI的准确性和短期可重复性<5%。因此,在磁共振直线加速器中提供准确且可重复的功能信息的定量成像似乎是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd6b/7807787/c779ae2a09c3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd6b/7807787/81ace631a895/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd6b/7807787/c779ae2a09c3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd6b/7807787/81ace631a895/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd6b/7807787/c779ae2a09c3/gr2.jpg

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