Literature DB >> 17672942

[Diffusion weighted imaging features of normal uterine cervix and cervical carcinoma].

Yun Zhang1, Bi-Ling Liang, Li Gao, Rui-Xin Ye, Jun Shen, Jing-Lian Zhong.   

Abstract

BACKGROUND &
OBJECTIVE: Magnetic resonance imaging (MRI) is a feasible method to detect, diagnose and stage cervical cancer. This study was to analyze the diffusion weighted imaging (DWI) features of normal uterine cervix and cervical carcinoma, and assess the values of DWI in diagnosis and monitor of cervical carcinoma after radiotherapy.
METHODS: Routine MRI sequence and axial diffusion weighted sequence (b=800 s/mm2) were performed in 20 patients with cervical carcinoma and in 16 healthy women as control. The apparent diffusion coefficient (ADC) values of normal uterine cervix and cervical carcinoma were compared. The ADC values of 7 cervical carcinoma patients before and after radiotherapy were compared.
RESULTS: Normal uterine cervix presented 3 layers in DWI. The ADC value was significantly higher in normal uterine cervix than in cervical carcinoma [(1.71+/-0.14) x 10-3 mm2/s vs. (0.97+/-0.13) x 10(-3) mm2/s, P<0.01]. The ADC value of cervical carcinoma after radiotherapy was higher than that before radiotherapy [(1.49+/-1.40) x 10(-3) mm2/s vs. (1.02+/-0.06) x 10(-3) mm2/s], but was still lower than that of normal uterine cervix.
CONCLUSION: DWI could be used to distinguish cervical carcinoma from normal uterine cervix, evaluate the extension of cervical carcinoma before therapy, and monitor the treatment response of cervical carcinoma after radiotherapy.

Entities:  

Mesh:

Year:  2007        PMID: 17672942

Source DB:  PubMed          Journal:  Ai Zheng


  7 in total

Review 1.  Diffusion MRI in early cancer therapeutic response assessment.

Authors:  C J Galbán; B A Hoff; T L Chenevert; B D Ross
Journal:  NMR Biomed       Date:  2016-01-15       Impact factor: 4.044

2.  Contribution of diffusion-weighted imaging to diagnosis and staging of cervical cancer.

Authors:  Tuna Demirbaş; Tan Cimilli; Sibel Bayramoğlu; Nurten Turan Güner; Elif Hocaoğlu; Ercan Inci
Journal:  Balkan Med J       Date:  2014-06-01       Impact factor: 2.021

Review 3.  What's New in Imaging for Gynecologic Cancer?

Authors:  Sairah R Khan; Mubarik Arshad; Kathryn Wallitt; Victoria Stewart; Nishat Bharwani; Tara D Barwick
Journal:  Curr Oncol Rep       Date:  2017-11-06       Impact factor: 5.075

Review 4.  Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients, in-vitro and in-vivo reproducibility.

Authors:  Maysam M Jafar; Arman Parsai; Marc E Miquel
Journal:  World J Radiol       Date:  2016-01-28

5.  Diffusion-weighted magnetic resonance imaging in predicting the radiosensitivity of cervical cancer.

Authors:  Xiaolei Ni; Yuanhe Tong; Youping Xiao; Jiang Liao; Yunbing Chen; Min Wang
Journal:  Int J Clin Exp Med       Date:  2015-08-15

Review 6.  Functional imaging to predict tumor response in locally advanced cervical cancer.

Authors:  Tara D Barwick; Alexandra Taylor; Andrea Rockall
Journal:  Curr Oncol Rep       Date:  2013-12       Impact factor: 5.075

7.  Diagnostic significance of diffusion-weighted MRI in patients with cervical cancer: a meta-analysis.

Authors:  Bo Hou; Shi-Feng Xiang; Gen-Dong Yao; Su-Jun Yang; Yu-Fang Wang; Yi-Xin Zhang; Jun-Wei Wang
Journal:  Tumour Biol       Date:  2014-08-29
  7 in total

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