Literature DB >> 30142392

Diffusion tensor imaging in differentiation of residual head and neck squamous cell carcinoma from post-radiation changes.

Ahmed Abdel Khalek Abdel Razek1.   

Abstract

BACKGROUND: Differentiation between residual head and neck squamous cell carcinoma and post-radiation changes is difficult with routine computed tomography and magnetic resonance imaging.
PURPOSE: To assess the reliability and reproducibility of mean diffusivity (MD) and fractional anisotropy (FA) parameters of diffusion tensor imaging in differentiation residual head and neck squamous cell carcinoma from post-radiation changes.
MATERIAL AND METHODS: A retrospective analysis of diffusion tensor imaging of 43 patients with head and neck squamous cell carcinoma cancer after radiotherapy. The MD and FA of the lesion were calculated by the same reader at two-time points.
RESULTS: There was a significantly lower difference (P = 0.001) in MD of both readings between residual head and neck squamous cell carcinoma (1.48 ± 0.06 and 1.47 ± 0.07 × 10-3 mm2/s) and post-radiation changes (1.72 ± 0.08 and 1.71 ± 0.11 × 10-3 mm2/s). The FA of residual head and neck squamous cell carcinoma of both readings (0.41 ± 0.09 and 0.42 ± 0.09) shows a significantly higher difference (P = 0.001) than post-radiation changes (0.17 ± 0.04 and 0.16 ± 0.03). There was excellent intra-reader agreement between both readings using MD (K = 0.958) and FA (K = 0.987). The threshold MD and FA used for differentiating the residual from post-radiation changes of both readings was 1.61, 1.65 × 10-3 mm2/s and 0.27, 0.25 with an area under the curve of 0.991, 0.934, 0.993 and 0.990 respectively.
CONCLUSION: MD and FA of diffusion tensor imaging are non-invasive reliable and reproducible parameters that can help in differentiation residual head and neck squamous cell carcinoma from post-radiation changes.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Diffusion; Head; MR imaging; Neck; Tensor

Mesh:

Year:  2018        PMID: 30142392     DOI: 10.1016/j.mri.2018.08.009

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


  14 in total

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Authors:  Ahmed Abdel Khalek Abdel Razek; Mona Mohamed Hafez; Walaa Mahmoud; Ahmed Ramadan Ismail; Khadiga M Ali; Tarek Elsayed Barakat
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3.  Multi-parametric arterial spin labeling and diffusion-weighted imaging of paranasal sinuses masses.

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4.  Diffusion tensor imaging of renal cortex in lupus nephritis.

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5.  Assessment of lacrimal glands in thyroid eye disease with diffusion-weighted magnetic resonance imaging.

Authors:  Ahmed Abdel Razek; El-Hadidy Mohamed El-Hadidy; Mohamed El-Said Moawad; Nader El-Metwaly; Amr Abd El-Hamid El-Said
Journal:  Pol J Radiol       Date:  2019-03-08

6.  Characterizing MRI features of rectal cancers with different KRAS status.

Authors:  Yanyan Xu; Qiaoyu Xu; Yanhui Ma; Jianghui Duan; Haibo Zhang; Tongxi Liu; Lu Li; Hongliang Sun; Kaining Shi; Sheng Xie; Wu Wang
Journal:  BMC Cancer       Date:  2019-11-14       Impact factor: 4.430

7.  Bone-related disorders of the jaw: A clinico-radiological diagnostic algorithm.

Authors:  Ahmed Abdel Khalek Abdel Razek
Journal:  Neuroradiol J       Date:  2021-03-08

8.  Multi-parametric arterial spin labelling and diffusion-weighted magnetic resonance imaging in differentiation of grade II and grade III gliomas.

Authors:  Ahmed Abdel Khalek Abdel Razek; Lamiaa Galal El-Serougy; Mohamed A Abdelsalam; Gada Mohamed Gaballa; Mona Mohamed Talaat
Journal:  Pol J Radiol       Date:  2020-02-21

9.  Apparent diffusion coefficient as an effective index for the therapeutic efficiency of brain chemoradiotherapy for brain metastases from lung cancer.

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Journal:  BMC Med Imaging       Date:  2018-09-17       Impact factor: 1.930

10.  Whole-body diffusion-weighted imaging with background body signal suppression in the detection of osseous and extra-osseous metastases.

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Journal:  Pol J Radiol       Date:  2019-11-12
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