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Beyond diagnosis: is there a role for radiomics in prostate cancer management?
The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly evolving. In the last decade, there has been an ever-growing interest in radiomics as an image analysis approach able to extract objective quantitative features that are missed by human eye. However, mo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008761/ https://www.ncbi.nlm.nih.gov/pubmed/36907973 http://dx.doi.org/10.1186/s41747-023-00321-4 |
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author | Stanzione, Arnaldo Ponsiglione, Andrea Alessandrino, Francesco Brembilla, Giorgio Imbriaco, Massimo |
author_facet | Stanzione, Arnaldo Ponsiglione, Andrea Alessandrino, Francesco Brembilla, Giorgio Imbriaco, Massimo |
author_sort | Stanzione, Arnaldo |
collection | PubMed |
description | The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly evolving. In the last decade, there has been an ever-growing interest in radiomics as an image analysis approach able to extract objective quantitative features that are missed by human eye. However, most of PCa radiomics studies have been focused on cancer detection and characterisation. With this narrative review we aimed to provide a synopsis of the recently proposed potential applications of radiomics for PCa with a management-based approach, focusing on primary treatments with curative intent and active surveillance as well as highlighting on recurrent disease after primary treatment. Current evidence is encouraging, with radiomics and artificial intelligence appearing as feasible tools to aid physicians in planning PCa management. However, the lack of external independent datasets for validation and prospectively designed studies casts a shadow on the reliability and generalisability of radiomics models, delaying their translation into clinical practice. Key points • Artificial intelligence solutions have been proposed to streamline prostate cancer radiotherapy planning. • Radiomics models could improve risk assessment for radical prostatectomy patient selection. • Delta-radiomics appears promising for the management of patients under active surveillance. • Radiomics might outperform current nomograms for prostate cancer recurrence risk assessment. • Reproducibility of results, methodological and ethical issues must still be faced before clinical implementation. |
format | Online Article Text |
id | pubmed-10008761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-100087612023-03-14 Beyond diagnosis: is there a role for radiomics in prostate cancer management? Stanzione, Arnaldo Ponsiglione, Andrea Alessandrino, Francesco Brembilla, Giorgio Imbriaco, Massimo Eur Radiol Exp Narrative Review The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly evolving. In the last decade, there has been an ever-growing interest in radiomics as an image analysis approach able to extract objective quantitative features that are missed by human eye. However, most of PCa radiomics studies have been focused on cancer detection and characterisation. With this narrative review we aimed to provide a synopsis of the recently proposed potential applications of radiomics for PCa with a management-based approach, focusing on primary treatments with curative intent and active surveillance as well as highlighting on recurrent disease after primary treatment. Current evidence is encouraging, with radiomics and artificial intelligence appearing as feasible tools to aid physicians in planning PCa management. However, the lack of external independent datasets for validation and prospectively designed studies casts a shadow on the reliability and generalisability of radiomics models, delaying their translation into clinical practice. Key points • Artificial intelligence solutions have been proposed to streamline prostate cancer radiotherapy planning. • Radiomics models could improve risk assessment for radical prostatectomy patient selection. • Delta-radiomics appears promising for the management of patients under active surveillance. • Radiomics might outperform current nomograms for prostate cancer recurrence risk assessment. • Reproducibility of results, methodological and ethical issues must still be faced before clinical implementation. Springer Vienna 2023-03-13 /pmc/articles/PMC10008761/ /pubmed/36907973 http://dx.doi.org/10.1186/s41747-023-00321-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Narrative Review Stanzione, Arnaldo Ponsiglione, Andrea Alessandrino, Francesco Brembilla, Giorgio Imbriaco, Massimo Beyond diagnosis: is there a role for radiomics in prostate cancer management? |
title | Beyond diagnosis: is there a role for radiomics in prostate cancer management? |
title_full | Beyond diagnosis: is there a role for radiomics in prostate cancer management? |
title_fullStr | Beyond diagnosis: is there a role for radiomics in prostate cancer management? |
title_full_unstemmed | Beyond diagnosis: is there a role for radiomics in prostate cancer management? |
title_short | Beyond diagnosis: is there a role for radiomics in prostate cancer management? |
title_sort | beyond diagnosis: is there a role for radiomics in prostate cancer management? |
topic | Narrative Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008761/ https://www.ncbi.nlm.nih.gov/pubmed/36907973 http://dx.doi.org/10.1186/s41747-023-00321-4 |
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