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External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients
The paper deals with the evaluation of the performance of an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, in the context of anal cancer. For the validation in anal cancer, a dataset of 59 patients comin...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156720/ https://www.ncbi.nlm.nih.gov/pubmed/37137947 http://dx.doi.org/10.1038/s41598-023-34162-3 |
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author | Leijenaar, Ralph T. H. Walsh, Sean Akshayaa Vaidyanathan Aliboni, Lorenzo Sanchez, Victoria Lopez Leech, Michelle Joyce, Ronan Gillham, Charles Kridelka, Frédéric Hustinx, Roland Danthine, Denis Occhipinti, Mariaelena Vos, Wim Guiot, Julien Lambin, Philippe Lovinfosse, Pierre |
author_facet | Leijenaar, Ralph T. H. Walsh, Sean Akshayaa Vaidyanathan Aliboni, Lorenzo Sanchez, Victoria Lopez Leech, Michelle Joyce, Ronan Gillham, Charles Kridelka, Frédéric Hustinx, Roland Danthine, Denis Occhipinti, Mariaelena Vos, Wim Guiot, Julien Lambin, Philippe Lovinfosse, Pierre |
author_sort | Leijenaar, Ralph T. H. |
collection | PubMed |
description | The paper deals with the evaluation of the performance of an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, in the context of anal cancer. For the validation in anal cancer, a dataset of 59 patients coming from two different centers was collected. The primary endpoint was HPV status according to p16 immunohistochemistry. Predefined statistical tests were performed to evaluate the performance of the model. The AUC obtained here in anal cancer is 0.68 [95% CI (0.32–1.00)] with F1 score of 0.78. This signature is TRIPOD level 4 (57%) with an RQS of 61%. This study provides proof of concept that this radiomic signature has the potential to identify a clinically relevant molecular phenotype (i.e., the HPV-ness) across multiple cancers and demonstrates potential for this radiomic signature as a CT imaging biomarker of p16 status. |
format | Online Article Text |
id | pubmed-10156720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101567202023-05-05 External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients Leijenaar, Ralph T. H. Walsh, Sean Akshayaa Vaidyanathan Aliboni, Lorenzo Sanchez, Victoria Lopez Leech, Michelle Joyce, Ronan Gillham, Charles Kridelka, Frédéric Hustinx, Roland Danthine, Denis Occhipinti, Mariaelena Vos, Wim Guiot, Julien Lambin, Philippe Lovinfosse, Pierre Sci Rep Article The paper deals with the evaluation of the performance of an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, in the context of anal cancer. For the validation in anal cancer, a dataset of 59 patients coming from two different centers was collected. The primary endpoint was HPV status according to p16 immunohistochemistry. Predefined statistical tests were performed to evaluate the performance of the model. The AUC obtained here in anal cancer is 0.68 [95% CI (0.32–1.00)] with F1 score of 0.78. This signature is TRIPOD level 4 (57%) with an RQS of 61%. This study provides proof of concept that this radiomic signature has the potential to identify a clinically relevant molecular phenotype (i.e., the HPV-ness) across multiple cancers and demonstrates potential for this radiomic signature as a CT imaging biomarker of p16 status. Nature Publishing Group UK 2023-05-03 /pmc/articles/PMC10156720/ /pubmed/37137947 http://dx.doi.org/10.1038/s41598-023-34162-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Leijenaar, Ralph T. H. Walsh, Sean Akshayaa Vaidyanathan Aliboni, Lorenzo Sanchez, Victoria Lopez Leech, Michelle Joyce, Ronan Gillham, Charles Kridelka, Frédéric Hustinx, Roland Danthine, Denis Occhipinti, Mariaelena Vos, Wim Guiot, Julien Lambin, Philippe Lovinfosse, Pierre External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients |
title | External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients |
title_full | External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients |
title_fullStr | External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients |
title_full_unstemmed | External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients |
title_short | External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients |
title_sort | external validation of a radiomic signature to predict p16 (hpv) status from standard ct images of anal cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156720/ https://www.ncbi.nlm.nih.gov/pubmed/37137947 http://dx.doi.org/10.1038/s41598-023-34162-3 |
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