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Title: | Image Quality and ADC Assessment in Turbo Spin-Echo and Echo-Planar Diffusion-Weighted MR Imaging of Tumors of the Head and Neck |
Authors: | Wannakamon Panyarak Toru Chikui Yasuo Yamashita Takeshi Kamitani Kazunori Yoshiura |
Authors: | Wannakamon Panyarak Toru Chikui Yasuo Yamashita Takeshi Kamitani Kazunori Yoshiura |
Keywords: | Medicine |
Issue Date: | 1-Jan-2018 |
Abstract: | © 2018 Rationale and Objectives: We aimed to compare the distortion ratio (DR), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) between turbo spin-echo (TSE)-diffusion-weighted imaging (DWI) and echo-planar imaging (EPI)-DWI of the orofacial region and prove the usefulness of TSE-DWI for the differential diagnosis of orofacial lesions. Materials and methods: The DR, SNR, and CNR of both sequences were compared in 42 cases. Then, the apparent diffusion coefficient (ADC) of various orofacial lesions obtained by TSE-DWI was investigated in 143 lesions. Results: In the first study, 38 of 42 cases were analyzed. TSE-DWI showed a significantly lower DR (p < 0.05) and higher SNR and CNR than EPI-DWI (p < 0.05), indicating the superiority of TSE-DWI. In the second study, 114 cases (79.3%) were successfully analyzed. When lesions were divided into cysts, benign tumors, squamous cell carcinoma, malignant lymphoma, and other malignant tumors (OT), significant differences were observed in all pairs of lesions (p < 0.05) except squamous cell carcinoma and OT (p = 0.877). The area under the curve for distinguishing benign from malignant tumors was 0.80 with a cutoff ADC of 1.29 × 10-3 mm²/s. Conclusion: TSE-DWI produced better quality images than EPI-DWI. TSE-DWI yields the high possibility of obtaining ADC in the orofacial region, and this value was considered useful for the differential diagnosis of orofacial lesions. |
URI: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85057578796&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62983 |
ISSN: | 18784046 10766332 |
Appears in Collections: | CMUL: Journal Articles |
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