Feasibility of Multiparametric Imaging with PET/MR in Head and Neck Squamous Cell Carcinoma

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The purpose of this study was to investigate and assess the correlation and reproducibility of multiparametric imaging in head and neck cancer patients.

METHODS: Twenty-one patients were included in this prospective scan-rescan study. All patients were scanned twice on an integrated PET and MRI scanner. Gross tumor volumes were defined on T2-weighted MR images, and volumes of interest were defined on diffusion-weighted MRI and (18)F-FDG PET (VOIDWI, VOIPET). Overlap between volumes was assessed as a percentwise overlap. (18)F-FDG uptake and diffusion were measured using SUV and apparent diffusion coefficient, and correlation was tested across and within patients and as a voxel-by-voxel analysis.

RESULTS: Seventeen patients were available for correlation analysis, and 12 patients were available for assessment of tumor overlap. The median tumor overlap between VOIDWI and VOIPET was 82% (VOIDWI in VOIPET) and 62% (VOIPET in VOIDWI) on scan 1 and scan 2, respectively. Across patients, the correlation between SUV and apparent diffusion coefficient was weak and nonsignificant. However, in individual patients a weak but significant correlation was identified on a voxel-by-voxel basis.

CONCLUSION: In multiparametric imaging with the integrated PET/MR scanner, the VOIs from DWI and (18)F-FDG PET were both within the target volume for radiotherapy and overlapped substantially although not completely. No correlation between (18)F-FDG uptake and DWI could be found across patients, but within individual patients a statistically significant, but weak, voxel-by-voxel correlation was found. The findings suggest that information on glucose uptake and diffusion coefficient carries complementary information of interest that may be relevant for radiotherapy treatment planning.

Original languageEnglish
JournalThe Journal of Nuclear Medicine
Volume58
Issue number1
Pages (from-to)69-74
Number of pages6
ISSN0161-5505
DOIs
Publication statusPublished - Jan 2017

    Research areas

  • Journal Article

ID: 173478374