Feasibility and accuracy of quantitative imaging on a 1.5 T MR-linear accelerator

Ernst S. Kooreman, Petra J. van Houdt, Marlies E. Nowee, Vivian W.J. van Pelt, Rob H.N. Tijssen, Eric S. Paulson, Oliver J. Gurney-Champion, Jihong Wang, Folkert Koetsveld, Laurens D. van Buuren, Leon C. ter Beek, Uulke A. van der Heide

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

Abstract

Purpose: Systems for magnetic resonance (MR-) guided radiotherapy enable daily MR imaging of cancer patients during treatment, which is of interest for treatment response monitoring and biomarker discovery using quantitative MRI (qMRI). Here, the performance of a 1.5 T MR-linac regarding qMRI was assessed on phantoms. Additionally, we show the feasibility of qMRI in a prostate cancer patient on this system for the first time. Materials and methods: Four 1.5 T MR-linac systems from four institutes were included in this study. T 1 and T 2 relaxation times, and apparent diffusion coefficient (ADC) maps, as well as dynamic contrast enhanced (DCE) images were acquired. Bland–Altman statistics were used, and accuracy, repeatability, and reproducibility were determined. Results: Median accuracy for T 1 ranged over the four systems from 2.7 to 14.3%, for T 2 from 10.4 to 14.1%, and for ADC from 1.9 to 2.7%. For DCE images, the accuracy ranged from 12.8 to 35.8% for a gadolinium concentration of 0.5 mM and deteriorated for higher concentrations. Median short-term repeatability for T 1 ranged from 0.6 to 5.1%, for T 2 from 0.4 to 1.2%, and for ADC from 1.3 to 2.2%. DCE acquisitions showed a coefficient of variation of 0.1–0.6% in the signal intensity. Long-term repeatability was 1.8% for T 1 , 1.4% for T 2 , 1.7% for ADC, and 17.9% for DCE. Reproducibility was 11.2% for T 1 , 2.9% for T 2 , 2.2% for ADC, and 18.4% for DCE. Conclusion: These results indicate that qMRI on the Unity MR-linac is feasible, accurate, and repeatable which is promising for treatment response monitoring and treatment plan adaptation based on daily qMRI.

Original languageEnglish (US)
Pages (from-to)156-162
Number of pages7
JournalRadiotherapy and Oncology
Volume133
DOIs
StatePublished - Apr 2019

Keywords

  • Functional MRI
  • MR-linac
  • Multicenter
  • Phantom
  • Prostate cancer
  • Quantitative MRI

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Radiology Nuclear Medicine and imaging

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