Literature DB >> 27056747

Can diffusion-weighted magnetic resonance imaging predict tumor recurrence of uterine cervical cancer after concurrent chemoradiotherapy?

Jung Min Bae1, Chan Kyo Kim2,3, Jung Jae Park1, Byung Kwan Park1.   

Abstract

PURPOSE: To retrospectively investigate the utility of diffusion-weighted imaging (DWI) for predicting clinical outcome after concurrent chemoradiotherapy (CCRT) in uterine cervical cancer.
MATERIALS AND METHODS: Seventy-four consecutive patients with biopsy-proven cervical cancer who received CCRT underwent DWI at 3T. All patients had MR examinations before therapy (preTx) and at 4 weeks of initiating therapy (midTx). At each point, ADC (apparent diffusion coefficient) was measured in the tumors and ADC change between preTx and midTx were also calculated. For predicting tumor recurrence, MR variables and clinical variables were evaluated and the results were compared.
RESULTS: During a mean follow-up of 32.1 months, tumor recurrence developed in 15 (20%) patients: local recurrence (n = 7), distant metastasis (n = 5), and both (n = 3). MidTx tumor ADCs and tumor ADC changes between preTx and midTx were significantly different between the recurrence and non-recurrence groups (P < 0.05), while preTx tumor ADCs were not significantly different between the groups (P = 0.892). Univariate analysis revealed that histologic type, stage, preTx tumor size and volume, and tumor ADC change were significantly related to tumor recurrence (all P < 0.05). However, on multivariate analysis, tumor ADC changes [hazard ratio (HR) 0.886; 95% confidence interval (CI) 0.836-0.940; P = 0.001] and histological type (HR 6.063; 95% CI 1.404-26.187; P = 0.016) were the significant independent predictors of tumor recurrence.
CONCLUSION: Tumor ADC changes between preTx and midTx might be a useful biomarker for the prediction of cervical cancer recurrence after CCRT.

Entities:  

Keywords:  Cervical cancer; Concurrent chemoradiotherapy; Diffusion-weighted imaging; Disease progression

Mesh:

Year:  2016        PMID: 27056747     DOI: 10.1007/s00261-016-0730-y

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  8 in total

1.  Multiparametric PET/MR (PET and MR-IVIM) for the evaluation of early treatment response and prediction of tumor recurrence in patients with locally advanced cervical cancer.

Authors:  Si Gao; Siyao Du; Zaiming Lu; Jun Xin; Song Gao; Hongzan Sun
Journal:  Eur Radiol       Date:  2019-09-06       Impact factor: 5.315

2.  Role of Functional Magnetic Resonance Imaging Derived Parameters as Imaging Biomarkers and Correlation with Clinicopathological Features in Carcinoma of Uterine Cervix.

Authors:  Ramireddy Jeba Karunya; Putta Tharani; Subhashini John; Ramani Manoj Kumar; Saikat Das
Journal:  J Clin Diagn Res       Date:  2017-08-01

Review 3.  The value of advanced MRI techniques in the assessment of cervical cancer: a review.

Authors:  Evelyn Dappa; Tania Elger; Annette Hasenburg; Christoph Düber; Marco J Battista; Andreas M Hötker
Journal:  Insights Imaging       Date:  2017-08-21

4.  Texture Analysis as Imaging Biomarker for recurrence in advanced cervical cancer treated with CCRT.

Authors:  Jie Meng; Shunli Liu; Lijing Zhu; Li Zhu; Huanhuan Wang; Li Xie; Yue Guan; Jian He; Xiaofeng Yang; Zhengyang Zhou
Journal:  Sci Rep       Date:  2018-07-30       Impact factor: 4.379

5.  The Value of Diffusion-Weighted Magnetic Resonance Imaging in Predicting the Efficacy of Radiation and Chemotherapy in Cervical Cancer.

Authors:  Jingjing Chen; Hui Hua; Jing Pang; Xianglong Shi; Weiqun Bi; Yingduan Li; Wenjian Xu
Journal:  Open Life Sci       Date:  2018-09-14       Impact factor: 0.938

6.  MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy.

Authors:  Xiaomiao Zhang; Jingwei Zhao; Qi Zhang; Sicong Wang; Jieying Zhang; Jusheng An; Lizhi Xie; Xiaoduo Yu; Xinming Zhao
Journal:  Cancer Imaging       Date:  2022-07-16       Impact factor: 5.605

7.  Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT.

Authors:  Jie Meng; Lijing Zhu; Li Zhu; Li Xie; Huanhuan Wang; Song Liu; Jing Yan; Baorui Liu; Yue Guan; Jian He; Yun Ge; Zhengyang Zhou; Xiaofeng Yang
Journal:  Oncotarget       Date:  2017-09-28

8.  Comparative analysis of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in evaluating the histological grade of cervical squamous carcinoma.

Authors:  Mengyan Hou; Kai Song; Jipeng Ren; Kaiyu Wang; Jinxia Guo; Yongchao Niu; Zhenyu Li; Dongming Han
Journal:  BMC Cancer       Date:  2022-01-20       Impact factor: 4.430

  8 in total

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