Physics and Imaging in Radiation Oncology · 2024 · 11 citations · 32 references
MedicineOral RadiologyRadiologyBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyNeck Cancer ImagingNeck ImagingApparent Diffusion Coefficient AnalysisBland-altman PlotDiffusion Coefficient CalculationDiffusion-weighted ContrastMagnetic Resonance Imaging AcquisitionQuantitative Magnetic Resonance ImagingRepeatabilityRepeatability Criteria
Background and Purpose Radiation-induced damage to the organs at risk (OARs) in head-and-neck cancer (HNC) patient can result in long-term complications. Quantitative magnetic resonance imaging (qMRI) techniques such as diffusion-weighted imaging (DWI), DIXON for fat fraction (FF) estimation and T 2 mapping could potentially provide a spatial assessment of such damage. The goal of this study is to validate these qMRI techniques in terms of accuracy in phantoms and repeatability in-vivo across a broad selection of healthy OARs in the HN region. Materials and Methods Scanning was performed at a 3 T diagnostic MRI scanner, including the calculation of apparent diffusion coefficient (ADC) from DWI, FF and T 2 maps. Phantoms were scanned to estimate the qMRI techniques bias using Bland-Altman statistics. Twenty-six healthy subjects were scanned twice in a test–retest study to determine repeatability. Repeatability coefficients (RC) were calculated for the parotid, submandibular, sublingual and tubarial salivary glands, oral cavity, pharyngeal constrictor muscle and brainstem. Additionally, a linear mixed-effect model analysis was used to evaluate the effect of subject-specific characteristics on the qMRI values. Results Bias was 0.009x10 -3 mm 2 /s for ADC, -0.7 % for FF and -7.9 ms for T 2 . RCs ranged 0.11–0.25x10 -3 mm 2 /s for ADC, 1.2–6.3 % for FF and 2.5–6.3 ms for T 2 . A significant positive linear relationship between age and the FF and T 2 for some of the OARs was found. Conclusion These qMRI techniques are feasible, accurate and repeatable, which is promising for treatment response monitoring and/or differentiating between healthy and unhealthy tissues due to radiation-induced damage in HNC patients.
32
Johannes A. Langendijk, Patricia Doornaert, Irma M. Verdonck‐de Leeuw et al. · Journal of Clinical Oncology · 2008 · 688 citations · Full text
Judith M. Roesink, Marinus A. Moerland, Jan J. Battermann et al. · International Journal of Radiation Oncology*Biology*Physics · 2001 · 271 citations
J J W Lagendijk, Bas W. Raaymakers, Cornelis A. T. van den Berg et al. · Physics in Medicine and Biology · 2014 · 205 citations