Literature DB >> 27227674

Intravoxel incoherent motion MRI in differentiation between recurrent carcinoma and postchemoradiation fibrosis of the skull base in patients with nasopharyngeal carcinoma.

Jiaji Mao1, Jun Shen1, Qihua Yang1, Taihui Yu1, Xiaohui Duan1, Jinglian Zhong1, Prakash Phuyal1, Biling Liang1.   

Abstract

PURPOSE: To determine the capacity of intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) in differential diagnosis between recurrent carcinoma and postchemoradiation fibrosis of skull base in patients with nasopharyngeal carcinoma (NPC).
MATERIALS AND METHODS: Eleven patients with recurrent NPC and 21 patients with postchemoradiation fibrosis in the skull base were enrolled. All the diagnoses were proved by endoscopic biopsy or imaging follow-up. IVIM MRI was performed to obtain quantitative parameters including D (pure diffusion), f (perfusion fraction), and D* (pseudodiffusion). D, f, and D* were compared between two groups; the diagnostic performances of D and f were evaluated using the receiver operating characteristic (ROC) analysis.
RESULTS: D and f values were significantly lower in recurrent carcinoma than that in fibrosis (P < 0.001; P = 0.001). No significant difference was found in D* values between recurrent carcinoma and fibrosis (P = 0.229). ROC curve analysis showed that the area under the curve of D and f values were 0.996 and 0.838, respectively. Respective cutoff values with sensitivity, specificity, and accuracy were: D = 1.161 × 10-3 mm2 /s (sensitivity 100.0%, specificity 95.2%, accuracy 96.9%), f = 0.109 (sensitivity 81.8%, specificity 71.4%, accuracy 75.0%).
CONCLUSION: Recurrent NPC and postchemoradiation fibrosis in the skull base have distinctive D and f values. IVIM MRI could be used to differentiate between recurrent carcinoma and postchemoradiation fibrosis in patients with NPC. J. Magn. Reson. Imaging 2016;44:1556-1564.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  diffusion-weighted imaging; intravoxel incoherent motion; nasopharyngeal carcinoma; postchemoradiation fibrosis

Mesh:

Year:  2016        PMID: 27227674     DOI: 10.1002/jmri.25302

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

1.  Distinguishing early-stage nasopharyngeal carcinoma from benign hyperplasia using intravoxel incoherent motion diffusion-weighted MRI.

Authors:  Qi-Yong Ai; Ann D King; Janet S M Chan; Weitian Chen; K C Allen Chan; John K S Woo; Benny C Y Zee; Anthony T C Chan; Darren M C Poon; Brigette B Y Ma; Edwin P Hui; Anil T Ahuja; Alexander C Vlantis; Jing Yuan
Journal:  Eur Radiol       Date:  2019-03-22       Impact factor: 5.315

2.  Three-dimensional pulsed continuous arterial spin labeling and intravoxel incoherent motion imaging of nasopharyngeal carcinoma: correlations with Ki-67 proliferation status.

Authors:  Wenxiu Wu; Guihua Jiang; Zhifeng Xu; Ruoning Wang; Aizhen Pan; Mingyong Gao; Tian Yu; Linwen Huang; Qiang Quan; Jin Li
Journal:  Quant Imaging Med Surg       Date:  2021-04

3.  The Efficacy of Radiotherapy for Nasopharyngeal Carcinoma under Magnetic Resonance Imaging.

Authors:  Hao Zhang; Linlin Guo; Pengfei He; Zheng Chang
Journal:  Contrast Media Mol Imaging       Date:  2021-07-30       Impact factor: 3.161

4.  Improved Readout-Segmented Echo-Planner Diffusion-Weighted Magnetic Resonance Imaging of Nasopharyngeal Carcinoma Using Simultaneous Multislice Acquisitions at 3 T.

Authors:  Qiao Li; TingTing Jiang; TingTing Wang; Yan Huang; XiaoXin Hu; Ling Zhang; Wei Liu; CaiXia Fu; YaJia Gu
Journal:  J Comput Assist Tomogr       Date:  2022-04-26       Impact factor: 2.081

5.  Diagnostic value of diffusion-weighted magnetic resonance imaging for local and skull base recurrence of nasopharyngeal carcinoma after radiotherapy.

Authors:  Chen Wang; Lidong Liu; Shaolv Lai; Danke Su; Younan Liu; Guanqiao Jin; Xuna Zhu; Ningbin Luo
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

6.  A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography.

Authors:  Jian Wang; Rongjie Liu; Yu Zhao; Chonnipa Nantavithya; Hesham Elhalawani; Hongtu Zhu; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; Danita Kannarunimit; Pei Yang; Hong Zhu
Journal:  Transl Cancer Res       Date:  2020-08       Impact factor: 1.241

  6 in total

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