Literature DB >> 29704561

Oral carcinoma: Clinical evaluation using diffusion kurtosis imaging and its correlation with histopathologic findings.

Ichiro Yamada1, Norio Yoshino2, Keigo Hikishima3, Junichiro Sakamoto2, Misaki Yokokawa4, Yu Oikawa4, Hiroyuki Harada4, Tohru Kurabayashi2, Yukihisa Saida5, Ukihide Tateishi5, Akane Yukimori6, Toshiyuki Izumo6, Shun Asahina7.   

Abstract

PURPOSE: In this study, we aimed to determine the usefulness of diffusion kurtosis imaging (DKI) as a noninvasive method for evaluation of the histologic grade and lymph node metastasis in patients with oral carcinoma.
MATERIALS AND METHODS: Twenty-seven patients with oral carcinoma were examined with a 3-T MR system and 16-channel coil. DKI data were obtained by a single-shot echo-planar imaging sequence with repetition time, 10,000 ms; echo time, 94 ms; field of view, 250 × 204.25 ms; matrix, 120 × 98; section thickness, 4 mm; four b values of 0, 500, 1000, and 2000 s/mm2; and motion-probing gradients in three orthogonal directions. Diffusivity (D) and kurtosis (K) were calculated using the equation: S = S0 ∙ exp(-b ∙ D + b2 ∙ D2 ∙ K/6). Conventional apparent diffusion coefficient (ADC) was also calculated. The MR images were compared with the histopathologic findings.
RESULTS: Relative to the histologic grades (Grades 1, 2, and 3) of the 27 oral carcinomas, D values showed a significant inverse correlation (r = -0.885; P < 0.001) and K values showed a significant positive correlation (r = 0.869; P < 0.001), whereas ADC values showed no significant correlation (r = -0.311; P = 0.115). When comparing between metastatic and non-metastatic lymph nodes, significant differences in the D values (P < 0.001) and K values (P < 0.001), but not the ADC values (P = 0.110) became apparent.
CONCLUSIONS: In patients with oral carcinoma, DKI seems to be clinically useful for the evaluation of histologic grades and lymph node metastasis.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion kurtosis imaging; Diffusion-weighted imaging; MR imaging; Oral carcinoma

Mesh:

Year:  2018        PMID: 29704561     DOI: 10.1016/j.mri.2018.04.014

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  3 in total

1.  Differentiation of lymphomatous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis.

Authors:  Seyedmehdi Payabvash; Alexandria Brackett; Reza Forghani; Ajay Malhotra
Journal:  Neuroradiology       Date:  2019-06-07       Impact factor: 2.804

2.  Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography.

Authors:  Xieqing Yang; Huijun Hu; Fang Zhang; Dongye Li; Zehong Yang; Guangzi Shi; Guoxiong Lu; Yusong Jiang; Lingjie Yang; Yu Wang; Xiaohui Duan; Jun Shen
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

3.  The value of bi-exponential and non-Gaussian distribution diffusion-weighted imaging in the differentiation of recurrent soft tissue neoplasms and post-surgical changes.

Authors:  Peian Hu; Shengjian Zhang; Zhengrong Zhou
Journal:  Ann Transl Med       Date:  2020-11
  3 in total

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