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Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT
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 c...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696195/ https://www.ncbi.nlm.nih.gov/pubmed/29190929 http://dx.doi.org/10.18632/oncotarget.21374 |
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author | 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 |
author_facet | 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 |
author_sort | Meng, Jie |
collection | PubMed |
description | 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(2)) 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(mean), 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. |
format | Online Article Text |
id | pubmed-5696195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56961952017-11-29 Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT 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 Oncotarget Research Paper 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(2)) 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(mean), 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. Impact Journals LLC 2017-09-28 /pmc/articles/PMC5696195/ /pubmed/29190929 http://dx.doi.org/10.18632/oncotarget.21374 Text en Copyright: © 2017 Meng et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper 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 Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT |
title | Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT |
title_full | Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT |
title_fullStr | Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT |
title_full_unstemmed | Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT |
title_short | Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT |
title_sort | whole-lesion adc histogram and texture analysis in predicting recurrence of cervical cancer treated with ccrt |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696195/ https://www.ncbi.nlm.nih.gov/pubmed/29190929 http://dx.doi.org/10.18632/oncotarget.21374 |
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