Abstract
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been correlated with prognosis in head and neck squamous cell carcinoma as well as with changes in normal tissues. These studies implement different software, either commercial or in-house, and different scan protocols. Thus, the generalizability of the results is not confirmed. To assist in the standardization of quantitative metrics to confirm the generalizability of these previous studies, this data descriptor delineates in detail the DCE-MRI digital imaging and communications in medicine (DICOM) files with DICOM radiation therapy (RT) structure sets and digital reference objects (DROs), as well as, relevant clinical data that encompass a data set that can be used by all software for comparing quantitative metrics. Variable flip angle (VFA) with six flip angles and DCE-MRI scans with a temporal resolution of 5.5 s were acquired in the axial direction on a 3T MR scanner with a field of view of 25.6 cm, slice thickness of 4 mm, and 256×256 matrix size.
Highlights
Background & SummaryWorldwide, head and neck squamous cell carcinoma (HNSCC) is the sixth most common by incidence[1]
The metrics from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) have been associated with tumor hypoxia which has been linked with poor prognosis for HNSCC4,5
Investigations have shown different DCE-MRI metrics to be associated with therapeutic response in HNSCC6,7
Summary
Head and neck squamous cell carcinoma (HNSCC) is the sixth most common by incidence[1]. The transfer rate constant for contrast from the plasma into the extravascular extracellular space (Ktrans) and the fractional extracellular extravascular space (ve) should be independent of scanner, scan protocol, injection dose, and other aspects of the image acquisition This independence makes DCE-MRI an attractive source for quantitative metrics in prognostic models[12]. Digital reference objects (DROs) produced by the Quantitative Imaging Biomarkers Alliance are referenced as they have known Ktrans and ve values, can be used as a first check before proceeding to patient data. Through this data set, we are inviting all researchers interested in quantitative DCE-MRI metrics to investigate the variability in Ktrans and ve across algorithms. Alliance and the oropharyngeal squamous cell carcinoma patients DCE-MRI scans dataset
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