Cargando…

The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis

Purpose: To determine whether radiomics texture features can be reproducibly obtained from megavoltage computed tomographic (MVCT) images acquired by Helical TomoTherapy (HT) with different imaging conditions. Methods: For each of the 195 textures enrolled, the mean intrapatient difference, which is...

Descripción completa

Detalles Bibliográficos
Autores principales: Gu, Jiabing, Zhu, Jian, Qiu, Qingtao, Wang, Yungang, Bai, Tong, Duan, Jinghao, Yin, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290333/
https://www.ncbi.nlm.nih.gov/pubmed/30568918
http://dx.doi.org/10.3389/fonc.2018.00586
_version_ 1783380069598625792
author Gu, Jiabing
Zhu, Jian
Qiu, Qingtao
Wang, Yungang
Bai, Tong
Duan, Jinghao
Yin, Yong
author_facet Gu, Jiabing
Zhu, Jian
Qiu, Qingtao
Wang, Yungang
Bai, Tong
Duan, Jinghao
Yin, Yong
author_sort Gu, Jiabing
collection PubMed
description Purpose: To determine whether radiomics texture features can be reproducibly obtained from megavoltage computed tomographic (MVCT) images acquired by Helical TomoTherapy (HT) with different imaging conditions. Methods: For each of the 195 textures enrolled, the mean intrapatient difference, which is considered to be the benchmark for reproducibility, was calculated from the MVCT images of 22 patients with early-stage non-small-cell lung cancer. Test–retest MVCT images of an in-house designed phantom were acquired to determine the concordance correlation coefficient (CCC) for these 195 texture features. Features with high reproducibility (CCC > 0.9) in the phantom test–retest set were investigated for sensitivities to different imaging protocols, scatter levels, and motion frequencies using a wood phantom and in-vitro animal tissues. Results: Of the 195 features, 165 (85%) features had CCC > 0.9. For the wood phantom, 124 features were reproducible in two kinds of scatter materials, and further investigations were performed on these features. For animal tissues, 108 features passed the criteria for reproducibility when one layer of scatter was covered, while 106 and 108 features of in-vitro liver and bone passed with two layers of scatter, respectively. Considering the effect of differing acquisition pitch (AcP), 97 features extracted from wood passed, while 103 and 59 features extracted from in-vitro liver and bone passed, respectively. Different reconstruction intervals (RI) had a small effect on the stability of the feature value. When AcP and RI were held consistent without motion, all 124 features calculated from wood passed, and a majority (122 of 124) of the features passed when imaging with a “fine” AcP with different RIs. However, only 55 and 40 features passed with motion frequencies of 20 and 25 beats per minute, respectively. Conclusion: Motion frequency has a significant impact on MVCT texture features, and features from MVCT were more reproducibility in different scatter conditions than those from CBCT. Considering the effects of AcP and RI, the scanning protocols should be kept consistent when MVCT images are used for feature analysis. Some radiomics features from HT MVCT images are reproducible and could be used for creating clinical prediction models in the future.
format Online
Article
Text
id pubmed-6290333
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-62903332018-12-19 The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis Gu, Jiabing Zhu, Jian Qiu, Qingtao Wang, Yungang Bai, Tong Duan, Jinghao Yin, Yong Front Oncol Oncology Purpose: To determine whether radiomics texture features can be reproducibly obtained from megavoltage computed tomographic (MVCT) images acquired by Helical TomoTherapy (HT) with different imaging conditions. Methods: For each of the 195 textures enrolled, the mean intrapatient difference, which is considered to be the benchmark for reproducibility, was calculated from the MVCT images of 22 patients with early-stage non-small-cell lung cancer. Test–retest MVCT images of an in-house designed phantom were acquired to determine the concordance correlation coefficient (CCC) for these 195 texture features. Features with high reproducibility (CCC > 0.9) in the phantom test–retest set were investigated for sensitivities to different imaging protocols, scatter levels, and motion frequencies using a wood phantom and in-vitro animal tissues. Results: Of the 195 features, 165 (85%) features had CCC > 0.9. For the wood phantom, 124 features were reproducible in two kinds of scatter materials, and further investigations were performed on these features. For animal tissues, 108 features passed the criteria for reproducibility when one layer of scatter was covered, while 106 and 108 features of in-vitro liver and bone passed with two layers of scatter, respectively. Considering the effect of differing acquisition pitch (AcP), 97 features extracted from wood passed, while 103 and 59 features extracted from in-vitro liver and bone passed, respectively. Different reconstruction intervals (RI) had a small effect on the stability of the feature value. When AcP and RI were held consistent without motion, all 124 features calculated from wood passed, and a majority (122 of 124) of the features passed when imaging with a “fine” AcP with different RIs. However, only 55 and 40 features passed with motion frequencies of 20 and 25 beats per minute, respectively. Conclusion: Motion frequency has a significant impact on MVCT texture features, and features from MVCT were more reproducibility in different scatter conditions than those from CBCT. Considering the effects of AcP and RI, the scanning protocols should be kept consistent when MVCT images are used for feature analysis. Some radiomics features from HT MVCT images are reproducible and could be used for creating clinical prediction models in the future. Frontiers Media S.A. 2018-12-05 /pmc/articles/PMC6290333/ /pubmed/30568918 http://dx.doi.org/10.3389/fonc.2018.00586 Text en Copyright © 2018 Gu, Zhu, Qiu, Wang, Bai, Duan and Yin. 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
Gu, Jiabing
Zhu, Jian
Qiu, Qingtao
Wang, Yungang
Bai, Tong
Duan, Jinghao
Yin, Yong
The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis
title The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis
title_full The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis
title_fullStr The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis
title_full_unstemmed The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis
title_short The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis
title_sort feasibility study of megavoltage computed tomographic (mvct) image for texture feature analysis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290333/
https://www.ncbi.nlm.nih.gov/pubmed/30568918
http://dx.doi.org/10.3389/fonc.2018.00586
work_keys_str_mv AT gujiabing thefeasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT zhujian thefeasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT qiuqingtao thefeasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT wangyungang thefeasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT baitong thefeasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT duanjinghao thefeasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT yinyong thefeasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT gujiabing feasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT zhujian feasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT qiuqingtao feasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT wangyungang feasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT baitong feasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT duanjinghao feasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis
AT yinyong feasibilitystudyofmegavoltagecomputedtomographicmvctimagefortexturefeatureanalysis