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The Crying Need for a Better Response Assessment in Rectal Cancer
Since total neoadjuvant treatment achieves almost 30% pathologic complete response, organ preservation has been increasingly debated for good responders after neoadjuvant treatment for patients diagnosed with rectal cancer. Two organ preservation strategies are available: a watch and wait strategy a...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643426/ https://www.ncbi.nlm.nih.gov/pubmed/37702885 http://dx.doi.org/10.1007/s11864-023-01125-9 |
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author | Amintas, Samuel Giraud, Nicolas Fernandez, Benjamin Dupin, Charles Denost, Quentin Garant, Aurelie Frulio, Nora Smith, Denis Rullier, Anne Rullier, Eric Vuong, Te Dabernat, Sandrine Vendrely, Véronique |
author_facet | Amintas, Samuel Giraud, Nicolas Fernandez, Benjamin Dupin, Charles Denost, Quentin Garant, Aurelie Frulio, Nora Smith, Denis Rullier, Anne Rullier, Eric Vuong, Te Dabernat, Sandrine Vendrely, Véronique |
author_sort | Amintas, Samuel |
collection | PubMed |
description | Since total neoadjuvant treatment achieves almost 30% pathologic complete response, organ preservation has been increasingly debated for good responders after neoadjuvant treatment for patients diagnosed with rectal cancer. Two organ preservation strategies are available: a watch and wait strategy and a local excision strategy including patients with a near clinical complete response. A major issue is the selection of patients according to the initial tumor staging or the response assessment. Despite modern imaging improvement, identifying complete response remains challenging. A better selection could be possible by radiomics analyses, exploiting numerous image features to feed data characterization algorithms. The subsequent step is to include baseline and/or pre-therapeutic MRI, PET-CT, and CT radiomics added to the patients’ clinicopathological data, inside machine learning (ML) prediction models, with predictive or prognostic purposes. These models could be further improved by the addition of new biomarkers such as circulating tumor biomarkers, molecular profiling, or pathological immune biomarkers. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-10643426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-106434262023-11-14 The Crying Need for a Better Response Assessment in Rectal Cancer Amintas, Samuel Giraud, Nicolas Fernandez, Benjamin Dupin, Charles Denost, Quentin Garant, Aurelie Frulio, Nora Smith, Denis Rullier, Anne Rullier, Eric Vuong, Te Dabernat, Sandrine Vendrely, Véronique Curr Treat Options Oncol Article Since total neoadjuvant treatment achieves almost 30% pathologic complete response, organ preservation has been increasingly debated for good responders after neoadjuvant treatment for patients diagnosed with rectal cancer. Two organ preservation strategies are available: a watch and wait strategy and a local excision strategy including patients with a near clinical complete response. A major issue is the selection of patients according to the initial tumor staging or the response assessment. Despite modern imaging improvement, identifying complete response remains challenging. A better selection could be possible by radiomics analyses, exploiting numerous image features to feed data characterization algorithms. The subsequent step is to include baseline and/or pre-therapeutic MRI, PET-CT, and CT radiomics added to the patients’ clinicopathological data, inside machine learning (ML) prediction models, with predictive or prognostic purposes. These models could be further improved by the addition of new biomarkers such as circulating tumor biomarkers, molecular profiling, or pathological immune biomarkers. GRAPHICAL ABSTRACT: [Image: see text] Springer US 2023-09-13 2023 /pmc/articles/PMC10643426/ /pubmed/37702885 http://dx.doi.org/10.1007/s11864-023-01125-9 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 Amintas, Samuel Giraud, Nicolas Fernandez, Benjamin Dupin, Charles Denost, Quentin Garant, Aurelie Frulio, Nora Smith, Denis Rullier, Anne Rullier, Eric Vuong, Te Dabernat, Sandrine Vendrely, Véronique The Crying Need for a Better Response Assessment in Rectal Cancer |
title | The Crying Need for a Better Response Assessment in Rectal Cancer |
title_full | The Crying Need for a Better Response Assessment in Rectal Cancer |
title_fullStr | The Crying Need for a Better Response Assessment in Rectal Cancer |
title_full_unstemmed | The Crying Need for a Better Response Assessment in Rectal Cancer |
title_short | The Crying Need for a Better Response Assessment in Rectal Cancer |
title_sort | crying need for a better response assessment in rectal cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643426/ https://www.ncbi.nlm.nih.gov/pubmed/37702885 http://dx.doi.org/10.1007/s11864-023-01125-9 |
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