International Journal of Radiation Research

en Impact of diffusion kurtosis imaging as an early prognostic factor following radiotherapy in patients with head and neck squamous cell carcinoma Radiation Biology Radiation Biology تحقيق بديع Original Research <div style="text-align: justify;">Background: Radiotherapy has an essential position in the definitive therapy of head and neck squamous cell carcinoma (HNSCC); however, imaging markers with prognostic value are unknown. Here, we determined whether diffusion kurtosis imaging (DKI) derived from magnetic resonance imaging (MRI) before radiotherapy in patients with HNSCC could be useful as outcome predictor for early treatment response. Material and Methods: Thirty-six patients with 86 lesions who underwent definitive radiotherapy for HNSCC were enrolled. The standardized uptake value (SUV) max and mean, metabolic tumor volume (MTV), total lesion glycolysis (TLG) from positron emission tomography-computed tomography (PET-CT), tumor diameter from CT images, and mean kurtosis (MK) values of DKI from MRI were compared as imaging biomarkers to predict an early response following radiotherapy. A total dose of 70 Gy was administered for all lesions. To determine whether DKI derived from MRI before radiotherapy in patients with HNSCC is useful as a prognostic predictor of early treatment response, patient response was assessed via endoscopy and imaging studies three months after treatment. Results: Correlation between MK mean and SUV max, TGL, MTV, and tumor diameter was not observed; however, significant differences in the imaging parameters were observed for overall response rate (ORR) (CR + PR) for MK mean and TLG; ORR group having significantly higher MK means than the non-ORR group. The MK values significantly correlated with the ORR of radiotherapy. Conclusion: DKI parameters that are measured quantitatively within a short imaging time can be prognostic factors before radiotherapy.</div> Cancer of head and neck, biomarkers, radiotherapy, diffusion magnetic resonance imaging. 603 608 http://ijrr.com/browse.php?a_code=A-10-1-1215&slc_lang=en&sid=1 T. Itonaga itonaga@tokyo-med.ac.jp 7900319475328460027921 7900319475328460027921 Yes Department of Radiology, Tokyo Medical University Hospital, 6-7-1 Nishi-shinjyuku,Shinjyuku, Tokyo, Japan R. Mikami 7900319475328460027922 7900319475328460027922 No Department of Radiology, Tokyo Medical University Hospital, 6-7-1 Nishi-shinjyuku,Shinjyuku, Tokyo, Japan T. Zama 7900319475328460027923 7900319475328460027923 No Department of Radiology, Tokyo Medical University Hospital, 6-7-1 Nishi-shinjyuku,Shinjyuku, Tokyo, Japan Y. Okada 7900319475328460027924 7900319475328460027924 No Department of Radiology, Tokyo Medical University Hospital, 6-7-1 Nishi-shinjyuku,Shinjyuku, Tokyo, Japan M. Kurooka 7900319475328460027925 7900319475328460027925 No Department of Radiology, Tokyo Medical University Hospital, 6-7-1 Nishi-shinjyuku,Shinjyuku, Tokyo, Japan Y. Araki 7900319475328460027926 7900319475328460027926 No Department of Radiology, Tokyo Medical University Hospital, 6-7-1 Nishi-shinjyuku,Shinjyuku, Tokyo, Japan M. Okubo 7900319475328460027927 7900319475328460027927 No Departments of Radiology, Tokyo Medical University Hachioji Medical Center, 1163 Tate-machi, Hachioji, Tokyo, Japan S. Sugahara 7900319475328460027928 7900319475328460027928 No Departments of Radiology, Tokyo Medical University Ibaraki Medical Center, 3-20-1 Chuo, Ami-machi, Inashiki-gun, Ibaraki, Japan K. Saito 7900319475328460027929 7900319475328460027929 No Department of Radiology, Tokyo Medical University Hospital, 6-7-1 Nishi-shinjyuku,Shinjyuku, Tokyo, Japan