Cargando…

Prognostic Value of Texture Analysis Based on Pretreatment DWI-Weighted MRI for Esophageal Squamous Cell Carcinoma Patients Treated With Concurrent Chemo-Radiotherapy

Purpose: The purpose of the research was to assess the prognostic value of three-dimensional (3D) texture features based on diffusion-weighted magnetic resonance imaging (DWI) for esophageal squamous cell carcinoma (ESCC) patients undergoing concurrent chemo-radiotherapy (CRT). Methods: We prospecti...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Zhenjiang, Han, Chun, Wang, Lan, Zhu, Jian, Yin, Yong, Li, Baosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811607/
https://www.ncbi.nlm.nih.gov/pubmed/31681593
http://dx.doi.org/10.3389/fonc.2019.01057
_version_ 1783462500429201408
author Li, Zhenjiang
Han, Chun
Wang, Lan
Zhu, Jian
Yin, Yong
Li, Baosheng
author_facet Li, Zhenjiang
Han, Chun
Wang, Lan
Zhu, Jian
Yin, Yong
Li, Baosheng
author_sort Li, Zhenjiang
collection PubMed
description Purpose: The purpose of the research was to assess the prognostic value of three-dimensional (3D) texture features based on diffusion-weighted magnetic resonance imaging (DWI) for esophageal squamous cell carcinoma (ESCC) patients undergoing concurrent chemo-radiotherapy (CRT). Methods: We prospectively enrolled 82 patients with ESCC into a cohort study. Two DWI sequences (b = 0 and b = 600 s/mm(2)) were acquired along with axial T2WI and T1WI before CRT. Two groups of features were examined: (1) clinical and demographic features (e.g., TNM stage, age and sex) and (2) changes in spatial texture characteristics of the apparent diffusion coefficient (ADC), which characterizes gray intensity changes in tumor areas, spatial pattern and distribution, and related changes caused by CRT. Reproducible feature sets without redundancy were statistically filtered and validated. The prognostic values associated with overall survival (OS) for each parameter were studied using Kaplan-Meier and Cox regression models for univariate and multivariate analyses, respectively. Results: Both univariate and multivariate Cox model analyses showed that the energy of intensity histogram texture (IHIST_energy), radiation dose, mean of the contrast in distance 1 of 26 directions (m_contrast_1), extreme difference of the homogeneity in distance 2 of 26 directions (Diff_homogeneity_2), mean of the inverse variance in distance 2 of 26 directions (m_lnversevariance_2), high-intensity small zone emphasis (HISE), and low-intensity large zone emphasis (LILE) were significantly associated with survival. The results showed that 6 texture parameters extracted from the ADC images before treatment could distinguish among high-, medium-, and low-risk groups (log-rank χ(2) = 9.7; P = 0.00773). The biased C-index value was 0.715 (95% CI: 0.708 to 0.732) based on bootstrapping validation. Conclusions: The ADC 3D texture feature can be used as a useful biomarker to predict the survival of ESCC patients undergoing CRT. Combining ADC 3D texture features with conventional prognostic factors can generate reliable survival prediction models.
format Online
Article
Text
id pubmed-6811607
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-68116072019-11-03 Prognostic Value of Texture Analysis Based on Pretreatment DWI-Weighted MRI for Esophageal Squamous Cell Carcinoma Patients Treated With Concurrent Chemo-Radiotherapy Li, Zhenjiang Han, Chun Wang, Lan Zhu, Jian Yin, Yong Li, Baosheng Front Oncol Oncology Purpose: The purpose of the research was to assess the prognostic value of three-dimensional (3D) texture features based on diffusion-weighted magnetic resonance imaging (DWI) for esophageal squamous cell carcinoma (ESCC) patients undergoing concurrent chemo-radiotherapy (CRT). Methods: We prospectively enrolled 82 patients with ESCC into a cohort study. Two DWI sequences (b = 0 and b = 600 s/mm(2)) were acquired along with axial T2WI and T1WI before CRT. Two groups of features were examined: (1) clinical and demographic features (e.g., TNM stage, age and sex) and (2) changes in spatial texture characteristics of the apparent diffusion coefficient (ADC), which characterizes gray intensity changes in tumor areas, spatial pattern and distribution, and related changes caused by CRT. Reproducible feature sets without redundancy were statistically filtered and validated. The prognostic values associated with overall survival (OS) for each parameter were studied using Kaplan-Meier and Cox regression models for univariate and multivariate analyses, respectively. Results: Both univariate and multivariate Cox model analyses showed that the energy of intensity histogram texture (IHIST_energy), radiation dose, mean of the contrast in distance 1 of 26 directions (m_contrast_1), extreme difference of the homogeneity in distance 2 of 26 directions (Diff_homogeneity_2), mean of the inverse variance in distance 2 of 26 directions (m_lnversevariance_2), high-intensity small zone emphasis (HISE), and low-intensity large zone emphasis (LILE) were significantly associated with survival. The results showed that 6 texture parameters extracted from the ADC images before treatment could distinguish among high-, medium-, and low-risk groups (log-rank χ(2) = 9.7; P = 0.00773). The biased C-index value was 0.715 (95% CI: 0.708 to 0.732) based on bootstrapping validation. Conclusions: The ADC 3D texture feature can be used as a useful biomarker to predict the survival of ESCC patients undergoing CRT. Combining ADC 3D texture features with conventional prognostic factors can generate reliable survival prediction models. Frontiers Media S.A. 2019-10-17 /pmc/articles/PMC6811607/ /pubmed/31681593 http://dx.doi.org/10.3389/fonc.2019.01057 Text en Copyright © 2019 Li, Han, Wang, Zhu, Yin and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Li, Zhenjiang
Han, Chun
Wang, Lan
Zhu, Jian
Yin, Yong
Li, Baosheng
Prognostic Value of Texture Analysis Based on Pretreatment DWI-Weighted MRI for Esophageal Squamous Cell Carcinoma Patients Treated With Concurrent Chemo-Radiotherapy
title Prognostic Value of Texture Analysis Based on Pretreatment DWI-Weighted MRI for Esophageal Squamous Cell Carcinoma Patients Treated With Concurrent Chemo-Radiotherapy
title_full Prognostic Value of Texture Analysis Based on Pretreatment DWI-Weighted MRI for Esophageal Squamous Cell Carcinoma Patients Treated With Concurrent Chemo-Radiotherapy
title_fullStr Prognostic Value of Texture Analysis Based on Pretreatment DWI-Weighted MRI for Esophageal Squamous Cell Carcinoma Patients Treated With Concurrent Chemo-Radiotherapy
title_full_unstemmed Prognostic Value of Texture Analysis Based on Pretreatment DWI-Weighted MRI for Esophageal Squamous Cell Carcinoma Patients Treated With Concurrent Chemo-Radiotherapy
title_short Prognostic Value of Texture Analysis Based on Pretreatment DWI-Weighted MRI for Esophageal Squamous Cell Carcinoma Patients Treated With Concurrent Chemo-Radiotherapy
title_sort prognostic value of texture analysis based on pretreatment dwi-weighted mri for esophageal squamous cell carcinoma patients treated with concurrent chemo-radiotherapy
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811607/
https://www.ncbi.nlm.nih.gov/pubmed/31681593
http://dx.doi.org/10.3389/fonc.2019.01057
work_keys_str_mv AT lizhenjiang prognosticvalueoftextureanalysisbasedonpretreatmentdwiweightedmriforesophagealsquamouscellcarcinomapatientstreatedwithconcurrentchemoradiotherapy
AT hanchun prognosticvalueoftextureanalysisbasedonpretreatmentdwiweightedmriforesophagealsquamouscellcarcinomapatientstreatedwithconcurrentchemoradiotherapy
AT wanglan prognosticvalueoftextureanalysisbasedonpretreatmentdwiweightedmriforesophagealsquamouscellcarcinomapatientstreatedwithconcurrentchemoradiotherapy
AT zhujian prognosticvalueoftextureanalysisbasedonpretreatmentdwiweightedmriforesophagealsquamouscellcarcinomapatientstreatedwithconcurrentchemoradiotherapy
AT yinyong prognosticvalueoftextureanalysisbasedonpretreatmentdwiweightedmriforesophagealsquamouscellcarcinomapatientstreatedwithconcurrentchemoradiotherapy
AT libaosheng prognosticvalueoftextureanalysisbasedonpretreatmentdwiweightedmriforesophagealsquamouscellcarcinomapatientstreatedwithconcurrentchemoradiotherapy