Reliability of MRI-Derived Depth of Invasion of Oral Tongue Cancer
Reliability of MRI-Derived Depth of Invasion of Oral Tongue Cancer
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DOI:
10.1016/j.acra.2018.08.021
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发表时间:
2019-07-01
影响因子:
4.8
通讯作者:
Yamashita, Yasuyuki
中科院分区:
文献类型:
--
作者:
Murakami, Ryuji;Shiraishi, Shinya;Yamashita, Yasuyuki
Rationale and Objective: To evaluate the inter-rater reliability of the magnetic resonance imaging (MRI)-derived depth of invasion (DOI) and the agreement between MRI and pathological measurements of oral tongue cancer. Materials and Methods: The institutional review board approved this retrospective study. The study population consisted of 29 patients with clinical T2N0 oral tongue cancer treated by surgery. Routine pretreatment MRI was performed on a 3T superconducting imager. Two raters with 23 and 18 years of head-and-neck MRI experience, respectively, independently chosen MRI sequences for each patient, then delineate the tumor, and then used three protocols to measure the MRI-derived DOI: the axial reconstructed thickness (method 1), the axial invasive portion (method 2), and the coronal invasive por-tion (method 3). Then they consensually selected the optimal among the three methods for each patient; it was designated method 4. The Bland-Altman plots, intraclass correlation coefficients (ICCs), and the paired samples test were used. According to the median follow-up of 41 months, the relationship between the MRI-derived DOI and nodal recurrence was also investigated. Results: The inter-rater reliability of methods 2 and 4 was excellent (ICC of 0.829 and 0.807, respec-tively). The correlation between MRI and pathological measurements was good for method 4 (ICC of 0.611), however, all measurements recorded on MRI were 2-3 mm larger than on pathology. No patients whose MRI-derived DOI was less than 5 mm suffered nodal recurrence. Conclusion: The MRI-derived DOI was valuable for the preoperative staging. The optimal measurement method should be selected on a case-by-case basis. (c) 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.