Literature DB >> 26720205

Whole-Lesion Histogram Analysis of Apparent Diffusion Coefficient for the Assessment of Cervical Cancer.

Yue Guan1, Hua Shi, Ying Chen, Song Liu, Weifeng Li, Zhuoran Jiang, Huanhuan Wang, Jian He, Zhengyang Zhou, Yun Ge.   

Abstract

OBJECTIVE: The aim of this study was to explore the application of whole-lesion histogram analysis of apparent diffusion coefficient (ADC) values of cervical cancer.
METHODS: A total of 54 women (mean age, 53 years) with cervical cancers underwent 3-T diffusion-weighted imaging with b values of 0 and 800 s/mm prospectively. Whole-lesion histogram analysis of ADC values was performed. Paired sample t test was used to compare differences in ADC histogram parameters between cervical cancers and normal cervical tissues. Receiver operating characteristic curves were constructed to identify the optimal threshold of each parameter.
RESULTS: All histogram parameters in this study including ADCmean, ADCmin, ADC10%-ADC90%, mode, skewness, and kurtosis of cervical cancers were significantly lower than those of normal cervical tissues (all P < 0.0001). ADC90% had the largest area under receiver operating characteristic curve of 0.996.
CONCLUSIONS: Whole-lesion histogram analysis of ADC maps is useful in the assessment of cervical cancer.

Entities:  

Mesh:

Year:  2016        PMID: 26720205     DOI: 10.1097/RCT.0000000000000349

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  11 in total

1.  Pre-TACE kurtosis of ADCtotal derived from histogram analysis for diffusion-weighted imaging is the best independent predictor of prognosis in hepatocellular carcinoma.

Authors:  Li-Fang Wu; Sheng-Xiang Rao; Peng-Ju Xu; Li Yang; Cai-Zhong Chen; Hao Liu; Jian-Feng Huang; Cai-Xia Fu; Alice Halim; Meng-Su Zeng
Journal:  Eur Radiol       Date:  2018-06-19       Impact factor: 5.315

2.  Prognostic model based on magnetic resonance imaging, whole-tumour apparent diffusion coefficient values and HPV genotyping for stage IB-IV cervical cancer patients following chemoradiotherapy.

Authors:  Gigin Lin; Lan-Yan Yang; Yu-Chun Lin; Yu-Ting Huang; Feng-Yuan Liu; Chun-Chieh Wang; Hsin-Ying Lu; Hsin-Ju Chiang; Yu-Ruei Chen; Ren-Chin Wu; Koon-Kwan Ng; Ji-Hong Hong; Tzu-Chen Yen; Chyong-Huey Lai
Journal:  Eur Radiol       Date:  2018-07-26       Impact factor: 5.315

3.  Rim sign and histogram analysis of apparent diffusion coefficient values on diffusion-weighted MRI in triple-negative breast cancer: Comparison with ER-positive subtype.

Authors:  Yangsean Choi; Sung Hun Kim; In Kyung Youn; Bong Joo Kang; Woo-Chan Park; Ahwon Lee
Journal:  PLoS One       Date:  2017-05-18       Impact factor: 3.240

4.  Apparent diffusion coefficient histogram shape analysis for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy.

Authors:  Jie Meng; Lijing Zhu; Li Zhu; Huanhuan Wang; Song Liu; Jing Yan; Baorui Liu; Yue Guan; Yun Ge; Jian He; Zhengyang Zhou; Xiaofeng Yang
Journal:  Radiat Oncol       Date:  2016-10-22       Impact factor: 3.481

5.  Non-small cell lung cancer: Whole-lesion histogram analysis of the apparent diffusion coefficient for assessment of tumor grade, lymphovascular invasion and pleural invasion.

Authors:  Naoko Tsuchiya; Mariko Doai; Katsuo Usuda; Hidetaka Uramoto; Hisao Tonami
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

6.  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

7.  Radiomic features of cervical cancer on T2-and diffusion-weighted MRI: Prognostic value in low-volume tumors suitable for trachelectomy.

Authors:  Benjamin W Wormald; Simon J Doran; Thomas Ej Ind; James D'Arcy; James Petts; Nandita M deSouza
Journal:  Gynecol Oncol       Date:  2019-11-02       Impact factor: 5.482

8.  Value of Intra-Perinodular Textural Transition Features from MRI in Distinguishing Between Benign and Malignant Testicular Lesions.

Authors:  Peipei Zhang; Xiangde Min; Zhaoyan Feng; Zhen Kang; Basen Li; Wei Cai; Chanyuan Fan; Xi Yin; Jinke Xie; Wenzhi Lv; Liang Wang
Journal:  Cancer Manag Res       Date:  2021-01-28       Impact factor: 3.989

9.  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.  Whole-volume ADC Histogram and Texture Analyses of Parotid Glands as an Image Biomarker in Evaluating Disease Activity of Primary Sjögren's Syndrome.

Authors:  Chen Chu; Fengxian Wang; Huayong Zhang; Yun Zhu; Chun Wang; Weibo Chen; Jian He; Lingyun Sun; Zhengyang Zhou
Journal:  Sci Rep       Date:  2018-10-18       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.