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Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix

MR Radiomics based on cervical lesions from one single scanner has achieved promising results. However, it is a challenge to achieve clinical translation. Considering multi-scanners and non-uniform scanning parameters from different centers in a real-world medical scenario, we should first identify...

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Autores principales: Mi, Honglan, Yuan, Mingyuan, Suo, Shiteng, Cheng, Jiejun, Li, Suqin, Duan, Shaofeng, Lu, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7684312/
https://www.ncbi.nlm.nih.gov/pubmed/33230228
http://dx.doi.org/10.1038/s41598-020-76989-0
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author Mi, Honglan
Yuan, Mingyuan
Suo, Shiteng
Cheng, Jiejun
Li, Suqin
Duan, Shaofeng
Lu, Qing
author_facet Mi, Honglan
Yuan, Mingyuan
Suo, Shiteng
Cheng, Jiejun
Li, Suqin
Duan, Shaofeng
Lu, Qing
author_sort Mi, Honglan
collection PubMed
description MR Radiomics based on cervical lesions from one single scanner has achieved promising results. However, it is a challenge to achieve clinical translation. Considering multi-scanners and non-uniform scanning parameters from different centers in a real-world medical scenario, we should first identify the influence of such conditions on the robustness of MR radiomics features (RFs) based on the female cervix. In this study, 9 healthy female volunteers were enrolled and 3 kiwis were selected as references. Each of them underwent T2 weighted imaging in three different 3.0-T MR scanners with uniform acquisition parameters, and in one MR scanner with various scanning parameters. A total of 396 RFs were extracted from their images with and without decile intensity normalization. The RFs’ reproducibility was evaluated by coefficient of variation (CV) and quartile coefficient of dispersion (QCD). Representative features were selected using the hierarchical cluster analysis and their discrimination abilities were estimated by ROC analysis through retrospective comparison with the junctional zone and the outer muscular layer of healthy cervix in patients (n = 58) with leiomyoma. This study showed that only a few RFs were robust across different MR scanners and acquisition parameters based on females’ cervix, which might be improved by decile intensity normalization method.
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spelling pubmed-76843122020-11-27 Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix Mi, Honglan Yuan, Mingyuan Suo, Shiteng Cheng, Jiejun Li, Suqin Duan, Shaofeng Lu, Qing Sci Rep Article MR Radiomics based on cervical lesions from one single scanner has achieved promising results. However, it is a challenge to achieve clinical translation. Considering multi-scanners and non-uniform scanning parameters from different centers in a real-world medical scenario, we should first identify the influence of such conditions on the robustness of MR radiomics features (RFs) based on the female cervix. In this study, 9 healthy female volunteers were enrolled and 3 kiwis were selected as references. Each of them underwent T2 weighted imaging in three different 3.0-T MR scanners with uniform acquisition parameters, and in one MR scanner with various scanning parameters. A total of 396 RFs were extracted from their images with and without decile intensity normalization. The RFs’ reproducibility was evaluated by coefficient of variation (CV) and quartile coefficient of dispersion (QCD). Representative features were selected using the hierarchical cluster analysis and their discrimination abilities were estimated by ROC analysis through retrospective comparison with the junctional zone and the outer muscular layer of healthy cervix in patients (n = 58) with leiomyoma. This study showed that only a few RFs were robust across different MR scanners and acquisition parameters based on females’ cervix, which might be improved by decile intensity normalization method. Nature Publishing Group UK 2020-11-23 /pmc/articles/PMC7684312/ /pubmed/33230228 http://dx.doi.org/10.1038/s41598-020-76989-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Mi, Honglan
Yuan, Mingyuan
Suo, Shiteng
Cheng, Jiejun
Li, Suqin
Duan, Shaofeng
Lu, Qing
Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix
title Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix
title_full Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix
title_fullStr Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix
title_full_unstemmed Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix
title_short Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix
title_sort impact of different scanners and acquisition parameters on robustness of mr radiomics features based on women’s cervix
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7684312/
https://www.ncbi.nlm.nih.gov/pubmed/33230228
http://dx.doi.org/10.1038/s41598-020-76989-0
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