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Utility of T(2)-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study
T(2)-weighted (T(2)W) MRI provides high spatial resolution and tissue-specific contrast, but it is predominantly used for qualitative evaluation of prostate anatomy and anomalies. This retrospective multicenter study evaluated the potential of T(2)W image-derived textural features for quantitative a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822867/ https://www.ncbi.nlm.nih.gov/pubmed/33483545 http://dx.doi.org/10.1038/s41598-021-81272-x |
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author | Nketiah, Gabriel A. Elschot, Mattijs Scheenen, Tom W. Maas, Marnix C. Bathen, Tone F. Selnæs, Kirsten M. |
author_facet | Nketiah, Gabriel A. Elschot, Mattijs Scheenen, Tom W. Maas, Marnix C. Bathen, Tone F. Selnæs, Kirsten M. |
author_sort | Nketiah, Gabriel A. |
collection | PubMed |
description | T(2)-weighted (T(2)W) MRI provides high spatial resolution and tissue-specific contrast, but it is predominantly used for qualitative evaluation of prostate anatomy and anomalies. This retrospective multicenter study evaluated the potential of T(2)W image-derived textural features for quantitative assessment of peripheral zone prostate cancer (PCa) aggressiveness. A standardized preoperative multiparametric MRI was performed on 87 PCa patients across 6 institutions. T(2)W intensity and apparent diffusion coefficient (ADC) histogram, and T(2)W textural features were computed from tumor volumes annotated based on whole-mount histology. Spearman correlations were used to evaluate association between textural features and PCa grade groups (i.e. 1–5). Feature utility in differentiating and classifying low-(grade group 1) vs. intermediate/high-(grade group ≥ 2) aggressive cancers was evaluated using Mann–Whitney U-tests, and a support vector machine classifier employing “hold-one-institution-out” cross-validation scheme, respectively. Textural features indicating image homogeneity and disorder/complexity correlated significantly (p < 0.05) with PCa grade groups. In the intermediate/high-aggressive cancers, textural homogeneity and disorder/complexity were significantly lower and higher, respectively, compared to the low-aggressive cancers. The mean classification accuracy across the centers was highest for the combined ADC and T(2)W intensity-textural features (84%) compared to ADC histogram (75%), T(2)W histogram (72%), T(2)W textural (72%) features alone or T(2)W histogram and texture (77%), T(2)W and ADC histogram (79%) combined. Texture analysis of T(2)W images provides quantitative information or features that are associated with peripheral zone PCa aggressiveness and can augment their classification. |
format | Online Article Text |
id | pubmed-7822867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78228672021-01-26 Utility of T(2)-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study Nketiah, Gabriel A. Elschot, Mattijs Scheenen, Tom W. Maas, Marnix C. Bathen, Tone F. Selnæs, Kirsten M. Sci Rep Article T(2)-weighted (T(2)W) MRI provides high spatial resolution and tissue-specific contrast, but it is predominantly used for qualitative evaluation of prostate anatomy and anomalies. This retrospective multicenter study evaluated the potential of T(2)W image-derived textural features for quantitative assessment of peripheral zone prostate cancer (PCa) aggressiveness. A standardized preoperative multiparametric MRI was performed on 87 PCa patients across 6 institutions. T(2)W intensity and apparent diffusion coefficient (ADC) histogram, and T(2)W textural features were computed from tumor volumes annotated based on whole-mount histology. Spearman correlations were used to evaluate association between textural features and PCa grade groups (i.e. 1–5). Feature utility in differentiating and classifying low-(grade group 1) vs. intermediate/high-(grade group ≥ 2) aggressive cancers was evaluated using Mann–Whitney U-tests, and a support vector machine classifier employing “hold-one-institution-out” cross-validation scheme, respectively. Textural features indicating image homogeneity and disorder/complexity correlated significantly (p < 0.05) with PCa grade groups. In the intermediate/high-aggressive cancers, textural homogeneity and disorder/complexity were significantly lower and higher, respectively, compared to the low-aggressive cancers. The mean classification accuracy across the centers was highest for the combined ADC and T(2)W intensity-textural features (84%) compared to ADC histogram (75%), T(2)W histogram (72%), T(2)W textural (72%) features alone or T(2)W histogram and texture (77%), T(2)W and ADC histogram (79%) combined. Texture analysis of T(2)W images provides quantitative information or features that are associated with peripheral zone PCa aggressiveness and can augment their classification. Nature Publishing Group UK 2021-01-22 /pmc/articles/PMC7822867/ /pubmed/33483545 http://dx.doi.org/10.1038/s41598-021-81272-x Text en © The Author(s) 2021 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 Nketiah, Gabriel A. Elschot, Mattijs Scheenen, Tom W. Maas, Marnix C. Bathen, Tone F. Selnæs, Kirsten M. Utility of T(2)-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study |
title | Utility of T(2)-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study |
title_full | Utility of T(2)-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study |
title_fullStr | Utility of T(2)-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study |
title_full_unstemmed | Utility of T(2)-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study |
title_short | Utility of T(2)-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study |
title_sort | utility of t(2)-weighted mri texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822867/ https://www.ncbi.nlm.nih.gov/pubmed/33483545 http://dx.doi.org/10.1038/s41598-021-81272-x |
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