TY - JOUR
T1 - Feasibility and accuracy of quantitative imaging on a 1.5 T MR-linear accelerator
AU - Kooreman, Ernst S.
AU - van Houdt, Petra J.
AU - Nowee, Marlies E.
AU - van Pelt, Vivian W.J.
AU - Tijssen, Rob H.N.
AU - Paulson, Eric S.
AU - Gurney-Champion, Oliver J.
AU - Wang, Jihong
AU - Koetsveld, Folkert
AU - van Buuren, Laurens D.
AU - ter Beek, Leon C.
AU - van der Heide, Uulke A.
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/4
Y1 - 2019/4
N2 - 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.
AB - 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.
KW - Functional MRI
KW - MR-linac
KW - Multicenter
KW - Phantom
KW - Prostate cancer
KW - Quantitative MRI
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U2 - 10.1016/j.radonc.2019.01.011
DO - 10.1016/j.radonc.2019.01.011
M3 - Article
C2 - 30935572
AN - SCOPUS:85060516744
SN - 0167-8140
VL - 133
SP - 156
EP - 162
JO - Radiotherapy and Oncology
JF - Radiotherapy and Oncology
ER -