Dynamic contrast‐enhanced <scp>magnetic resonance imaging</scp> for differentiating head and neck paraganglioma and schwannoma
Soumya Ranjan Malla, Ashu Seith Bhalla, Smita Manchanda, Devasenathipathy Kandasamy, Rakesh Kumar, Shipra Agarwal, Shamim Ahmed Shamim, Aanchal Kakkar
Abstract
Abstract Background and Purpose Morphological assessment with conventional magnetic resonance imaging (MRI) sequences has limited specificity to distinguish between paragangliomas and schwannomas. Assessing the differences in microvascular properties through pharmacokinetic parameters of dynamic contrast‐enhanced (DCE)‐MRI can provide additional information to aid in this differentiation. Materials and Methods A prospective study on MR characterization of neck masses was performed between January 2017 and March 2019 in our department, out of which 40 patients with head and neck paragangliomas (HNPGLs) (33 lesions) and schwannomas (15 lesions) were included in this analysis. MR perfusion using dynamic axial T1WI fat suppressed fast spoiled gradient recalled sequence with parallel imaging was performed in all the patients, in addition to single‐shot turbo spin‐echo axial diffusion weighted imaging (DWI) and routine MRI. ROI‐based method was used to obtain signal‐time curves, permeability measurements, and mean apparent diffusion coefficient (ADC) to differentiate paragangliomas from schwannomas. Statistical analysis was done to assess the significance and establish a cutoff to distinguish between the two entities. The available images of DOTANOC PET/CT (34 lesions) were analyzed retrospectively. Correlations between the perfusion, diffusion, and molecular PET/CT parameters were done. Results Paragangliomas had a higher wash‐in rate, wash‐out rate, K trans, K ep , and V p ( p < 0.001); while schwannomas had a higher relative enhancement ( p < 0.012), time to peak, time of onset, brevity of enhancement, and V e ( p < 0.001). Among the perfusion parameters, K ep (area under curve (AUC) 0.994) and V p (AUC 0.992) were found to have the highest diagnostic value. In diffusion‐weighted imaging, paragangliomas had a lower mean ADC compared to schwannomas ( p < 0.001). The SUV max and SUV mean were significantly associated with K trans , K ep , and V p in paragangliomas. Conclusion DCE‐MRI in addition to DWI‐MRI can accurately distinguish HNPGL from schwannoma and may replace the need for any additional imaging and preoperative biopsy in most cases.