Oncotarget

Research Papers:

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

Jie Meng, Lijing Zhu, Li Zhu, Li Xie, Huanhuan Wang, Song Liu, Jing Yan, Baorui Liu, Yue Guan, Jian He _, Yun Ge, Zhengyang Zhou and Xiaofeng Yang

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Oncotarget. 2017; 8:92442-92453. https://doi.org/10.18632/oncotarget.21374

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Abstract

Jie Meng1, Lijing Zhu2, Li Zhu1, Li Xie2, Huanhuan Wang1, Song Liu1, Jing Yan2, Baorui Liu2, Yue Guan3, Jian He1, Yun Ge3, Zhengyang Zhou1 and Xiaofeng Yang4

1Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China

2The Comprehensive Cancer Centre of Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China

3School of Electronic Science and Engineering, Nanjing University, Nanjing, 210046, China

4Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia 30322, USA

Correspondence to:

Jian He, email: [email protected]

Yun Ge, email: [email protected]

Zhengyang Zhou, email: [email protected]

Keywords: diffusion weighted imaging, magnetic resonance imaging, uterine cervical neoplasms, histogram analysis, texture analysis

Received: June 19, 2017    Accepted: August 28, 2017    Published: September 28, 2017

ABSTRACT

Purpose: To explore the value of whole-lesion apparent diffusion coefficient (ADC) histogram and texture analysis in predicting tumor recurrence of advanced cervical cancer treated with concurrent chemo-radiotherapy (CCRT).

Methods: 36 women with pathologically confirmed advanced cervical squamous carcinomas were enrolled in this prospective study. 3.0 T pelvic MR examinations including diffusion weighted imaging (b = 0, 800 s/mm2) were performed before CCRT (pre-CCRT) and at the end of 2nd week of CCRT (mid-CCRT). ADC histogram and texture features were derived from the whole volume of cervical cancers.

Results: With a mean follow-up of 25 months (range, 11 ~ 43), 10/36 (27.8%) patients ended with recurrence. Pre-CCRT 75th, 90th, correlation, autocorrelation and mid-CCRT ADCmean, 10th, 25th, 50th, 75th, 90th, autocorrelation can effectively differentiate the recurrence from nonrecurrence group with area under the curve ranging from 0.742 to 0.850 (P values range, 0.001 ~ 0.038).

Conclusions: Pre- and mid-treatment whole-lesion ADC histogram and texture analysis hold great potential in predicting tumor recurrence of advanced cervical cancer treated with CCRT.


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