Literature DB >> 26807567

The Value of Diffusion-Weighted Imaging in Predicting the Prognosis of Stage IB-IIA Cervical Squamous Cell Carcinoma After Radical Hysterectomy.

Guoxing Zhou1, Xiao Chen, Fei Tang, Jie Zhou, Yibin Wang, Zhongqiu Wang.   

Abstract

OBJECTIVE: The aim of the study was to investigate the value of mean apparent diffusion coefficient (ADC(mean)) value in predicting the prognosis of stage IB-IIA cervical squamous cell carcinoma (SCC) patients after radical hysterectomy.
MATERIALS AND METHODS: A total of 126 patients who were with stage IB-IIA cervical SCC and underwent magnetic resonance imaging examination and radical hysterectomy were retrospectively investigated. Receiver operating characteristic curve was used to determine the cutoff values of ADC(mean) for predicting earlier recurrence (2 consecutive increases in the SCC antigen value of more than 1 ng/mL or elevation of greater than 1.5 ng/mL). Disease-free survival and overall survival were analyzed using the Kaplan-Meier method, and differences between the survival curves were examined using the log-rank test.
RESULTS: Earlier recurrence was observed in 46 patients (36.2%) during a median follow-up of 22 months. The ADC(mean) value (P = 0.005), parametrial invasion (P = 0.049), and lymphovascular space invasion (P = 0.037) were significantly associated with earlier recurrence. Receiver operating characteristic curve identified that the cutoff value of ADC(mean) for predicting earlier recurrence was 0.785 × 10(-3)mm(2)/s. The ADC(mean) value, parametrial invasion, and lymphovascular space invasion were significantly associated with earlier recurrence. The hazard ratios were 7.33 (95% confidence interval [95% CI], 1.854-28.99), 4.88 (95% CI, 1.00-23.73), and 2.53 (95% CI, 1.058-6.052), respectively. Disease-free survival and overall survival rates of patients with the ADC(mean) less than 0.785 × 10(-3)mm(2)//s were significantly worse than those of patients with the ADC(mean) greater than or equal to 0.785 × 10(-3)mm(2)/s.
CONCLUSIONS: Mean ADC was a good biomarker in predicting the prognosis of stage IB-IIA cervical SCC after radical hysterectomy.

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Mesh:

Year:  2016        PMID: 26807567     DOI: 10.1097/IGC.0000000000000613

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  6 in total

1.  MRI outcome evaluation in patients with IB2 and IIA2 squamous cervical cancer stages: preliminary results.

Authors:  Qingling Song; Huiting Pang; Rui Tong; Yanmei Zhu; Yahong Luo; Tao Yu; Fan Liu; Yue Dong
Journal:  Insights Imaging       Date:  2022-09-16

Review 2.  Diffusion magnetic resonance imaging: A molecular imaging tool caught between hope, hype and the real world of "personalized oncology".

Authors:  Abhishek Mahajan; Sneha S Deshpande; Meenakshi H Thakur
Journal:  World J Radiol       Date:  2017-06-28

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.  Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2- Weighted Images.

Authors:  Xin-Xiang Li; Ting-Ting Lin; Bin Liu; Wei Wei
Journal:  Front Bioeng Biotechnol       Date:  2020-06-11

5.  The analysis of the long-term outcomes in elderly women treated for locally advanced cervical cancer.

Authors:  Krzysztof Koper; Konrad Dziobek; Roman Makarewicz; Joanna Terlikiewicz; Magdalena Dutsch-Wicherek
Journal:  J Contemp Brachytherapy       Date:  2018-10-31

6.  Diagnostic Value of Combined Intravoxel Incoherent Motion Diffusion-Weighted Magnetic Resonance Imaging with Diffusion Tensor Imaging in Predicting Parametrial Infiltration in Cervical Cancer.

Authors:  Ting-Ting Lin; Xin-Xiang Li; Wei-Fu Lv; Jiang-Ning Dong; Chao Wei; Ting-Ting Wang; Chuan-Bin Wang; Ping Zhang
Journal:  Contrast Media Mol Imaging       Date:  2021-05-11       Impact factor: 3.161

  6 in total

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