[High resolution diffusion-weighted imaging for characterising nasopharyngeal carcinoma]

Objective: To evaluate the characteristics of high resolution diffusion-weighted imaging(DWI) using readout segmentation of long variable echo trains (RESOLVE ) for nasopharyngeal carcinoma (NPC). Methods: A total of 131 with newly diagnosed NPC patients from the 5th Affiliated Hospital of Sun Yat-sen University were included in this study from October 2013 to April 2016.DWI using RESOLVE technique was performed. The signal intensity (SI(lesion)), and mean(ADC(mean)), maximum(ADC(max)), minimum (ADC(min))ADCs of NPC were calculated. The signal intensity (SI(normal))and ADC (ADC(normal))of normal nasopharyngeal tissue were calculated. These quantitative parameters of NPC and normal nasopharyngeal tissue were compared.Statistical difference of ADC(mean), ADC(max) and ADC(min) between the clinical tumor stages were assessed. Results: On the DWI, all NPCs were clearly shown as high signal intensity relative to the surrounding normal nasopharyngeal structure(F=70.019, P=0.000). The ADC(mean)(F=20.442, P=0.000), ADC(max)(F=35.374, P=0.000), ADC(min)(F=61.534, P=0.000) in the carcinoma were significantly lower compared with that of normal nasopharyngeal structure. There was no statistically significant difference of ADC(mean), ADC(max) and ADC(min) (P>0.05)in different clinical stages of NPC. Conclusion: NPC can be clearly detected by RESOLVE-DWI, but the ADC(mean), ADC(max) and ADC(min) can not be used for differentiating the clinical stage of NPC.