Literature DB >> 27445314

Predicting tumor recurrence in patients with cervical carcinoma treated with definitive chemoradiotherapy: value of quantitative histogram analysis on diffusion-weighted MR images.

Gurcan Erbay1, Cem Onal2, Elif Karadeli1, Ozan C Guler2, Sami Arica3, Zafer Koc1.   

Abstract

Background Further research is required for evaluating the use of ADC histogram analysis in more advanced stages of cervical cancer treated with definitive chemoradiotherapy (CRT). Purpose To investigate the utility of apparent diffusion coefficient (ADC) histogram derived from diffusion-weighted magnetic resonance images in cervical cancer patients treated with definitive CRT. Material and Methods The clinical and radiological data of 50 patients with histologically proven cervical squamous cell carcinoma treated with definitive CRT were retrospectively analyzed. The impact of clinicopathological factors and ADC histogram parameters on prognostic factors and treatment outcomes was assessed. Results The mean and median ADC values for the cohort were 1.043 ± 0.135 × 10-3 mm2/s and 1.018 × 10-3 mm2/s (range, 0.787-1.443 × 10-3 mm2/s). The mean ADC was significantly lower for patients with advanced stage (≥IIB) or lymph node metastasis compared with patients with stage <IIB or no lymph node metastasis. The mean ADC, 75th percentile ADC (ADC75), 90th percentile ADC (ADC90), and 95th percentile ADC (ADC95) were significantly lower in patients with tumor recurrence compared with patients without recurrence. In multivariate analysis, tumor size, ADC75 and ADC95 were independent prognostic factors for both overall survival and disease-free survival. Conclusion ADC histogram parameters could be markers for disease recurrence and for predicting survival outcomes. ADC75, ADC90, and ADC95 of the primary tumor were significant predictors of disease recurrence in cervical cancer patients treated with definitive CRT.

Entities:  

Keywords:  Cervical cancer; apparent diffusion coefficient; chemoradiotherapy; magnetic resonance imaging (MRI); prognostic factor

Mesh:

Year:  2016        PMID: 27445314     DOI: 10.1177/0284185116656492

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  10 in total

1.  Texture analysis versus conventional MRI prognostic factors in predicting tumor response to neoadjuvant chemotherapy in patients with locally advanced cancer of the uterine cervix.

Authors:  Maria Ciolina; Valeria Vinci; Laura Villani; Silvia Gigli; Matteo Saldari; Pierluigi Benedetti Panici; Giorgia Perniola; Andrea Laghi; Carlo Catalano; Lucia Manganaro
Journal:  Radiol Med       Date:  2019-06-28       Impact factor: 3.469

2.  The Value of Whole-Tumor Texture Analysis of ADC in Predicting the Early Recurrence of Locally Advanced Cervical Squamous Cell Cancer Treated With Concurrent Chemoradiotherapy.

Authors:  Xiaomiao Zhang; Qi Zhang; Lizhi Xie; Jusheng An; Sicong Wang; Xiaoduo Yu; Xinming Zhao
Journal:  Front Oncol       Date:  2022-05-20       Impact factor: 5.738

3.  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 4.  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

5.  Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy.

Authors:  Bo Zhao; Kun Cao; Xiao-Ting Li; Hai-Tao Zhu; Ying-Shi Sun
Journal:  BMC Cancer       Date:  2019-11-15       Impact factor: 4.430

6.  The value of DWI in predicting the response to synchronous radiochemotherapy for advanced cervical carcinoma: comparison among three mathematical models.

Authors:  Hui Zhang; Yuyang Zhou; Jie Li; Pengjuan Zhang; Zhenzhen Li; Junwu Guo
Journal:  Cancer Imaging       Date:  2020-01-14       Impact factor: 3.909

7.  Diagnostic Strategies for Recurrent Cervical Cancer: A Cohort Study.

Authors:  Xiaopei Chao; Junning Fan; Xiaochen Song; Yan You; Huanwen Wu; Ming Wu; Lei Li
Journal:  Front Oncol       Date:  2020-12-07       Impact factor: 6.244

8.  MRI Radiomic Features: A Potential Biomarker for Progression-Free Survival Prediction of Patients With Locally Advanced Cervical Cancer Undergoing Surgery.

Authors:  Mengting Cai; Fei Yao; Jie Ding; Ruru Zheng; Xiaowan Huang; Yunjun Yang; Feng Lin; Zhangyong Hu
Journal:  Front Oncol       Date:  2021-12-14       Impact factor: 6.244

9.  Magnetic resonance imaging in cervical cancer interventional radiotherapy (brachytherapy): a pictorial essay focused on radiologist management.

Authors:  Luca Tagliaferri; Benedetta Gui; Luca Russo; Valentina Lancellotta; Maura Miccò; Bruno Fionda; Giacomo Avesani; Angeles Rovirosa; Piotr Wojcieszek; Giovanni Scambia; Riccardo Manfredi
Journal:  J Contemp Brachytherapy       Date:  2022-06-30

10.  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
  10 in total

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