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Erschienen in: Molecular Imaging and Biology 2/2019

09.07.2018 | Research Article

Differentiation of Malignant and Benign Head and Neck Tumors with Amide Proton Transfer-Weighted MR Imaging

verfasst von: Lu Yu, Chunmei Li, Xiaojie Luo, Jinyuan Zhou, Chen Zhang, Yi Zhang, Min Chen

Erschienen in: Molecular Imaging and Biology | Ausgabe 2/2019

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Abstract

Purpose

To prospectively evaluate the feasibility and capability of amide proton transfer-weighted (APTw) imaging for the characterization of head and neck tumors.

Procedures

Twenty-nine consecutive patients with suspected head and neck tumors were enrolled in this study and underwent APTw magnetic resonance imaging (MRI) on a 3.0-T MRI scanner. The patients were divided into malignant (n = 16) and benign (n = 13) groups, based on pathological results. A map of magnetization transfer ratio asymmetry at 3.5 ppm [MTRasym (3.5 ppm)] was generated for each patient. Interobserver agreement was evaluated and comparisons of MTRasym (3.5 ppm) were made between the malignant and benign groups. Receiver operating characteristic analysis was used to determine the appropriate threshold value of MTRasym (3.5 ppm) for the differentiation of malignant from benign tumors.

Results

The intraclass correlation coefficients of the malignant and benign groups were 0.96 and 0.90, respectively, which indicated a good interobserver agreement. MTRasym (3.5 ppm) was significantly higher for the malignant group (3.66 ± 1.15 %) than for the benign group (1.94 ± 0.93 %, P < 0.001). APTw MRI revealed an area under the curve of 0.904 in discriminating these two groups, with a sensitivity of 81.3 %, a specificity of 92.3 %, and an accuracy of 86.2 %, at the threshold of 2.62 % of MTRasym (3.5 ppm).

Conclusions

APTw MRI is feasible for use in the head and neck tumors and is a valuable imaging biomarker for distinguishing malignant from benign lesions.
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Metadaten
Titel
Differentiation of Malignant and Benign Head and Neck Tumors with Amide Proton Transfer-Weighted MR Imaging
verfasst von
Lu Yu
Chunmei Li
Xiaojie Luo
Jinyuan Zhou
Chen Zhang
Yi Zhang
Min Chen
Publikationsdatum
09.07.2018
Verlag
Springer International Publishing
Erschienen in
Molecular Imaging and Biology / Ausgabe 2/2019
Print ISSN: 1536-1632
Elektronische ISSN: 1860-2002
DOI
https://doi.org/10.1007/s11307-018-1248-1

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