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全病灶表观扩散系数(ADC)直方图及纹理分析在预测接受同步放化疗的宫颈癌复发中的应用

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

作者信息

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

机构信息

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

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

出版信息

Oncotarget. 2017 Sep 28;8(54):92442-92453. doi: 10.18632/oncotarget.21374. eCollection 2017 Nov 3.

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/mm) 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 ADC, 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.

摘要

目的

探讨全病灶表观扩散系数(ADC)直方图及纹理分析在预测同步放化疗(CCRT)治疗的晚期宫颈癌肿瘤复发中的价值。

方法

36例经病理证实的晚期宫颈鳞癌患者纳入本前瞻性研究。在CCRT前(CCRT前)及CCRT第2周结束时(CCRT中期)进行3.0T盆腔磁共振检查,包括扩散加权成像(b = 0,800 s/mm²)。ADC直方图和纹理特征来自宫颈癌的整个体积。

结果

平均随访25个月(范围11~43个月),10/36(27.8%)例患者复发。CCRT前第75、90百分位数、相关性、自相关性以及CCRT中期的ADC、第10、25、50、75、90百分位数、自相关性可有效区分复发组与未复发组,曲线下面积范围为0.742~0.850(P值范围为0.001~0.038)。

结论

治疗前及治疗中期的全病灶ADC直方图及纹理分析在预测CCRT治疗的晚期宫颈癌肿瘤复发方面具有很大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/673e/5696195/37c296a734bd/oncotarget-08-92442-g001.jpg

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