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Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?

Liu and colleagues performed a retrospective study to validate a computed tomography (CT) scan-based radiomic model to detect lymph node metastasis in cervical cancer. The proposed model incorporating the arterial and venous phase CT-scan features represented a non-invasive method exhibiting high se...

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Autores principales: Bizzarri, Nicolò, Boldrini, Luca, Ferrandina, Gabriella, Fanfani, Francesco, Pedone Anchora, Luigi, Scambia, Giovanni, Gueli Alletti, Salvatore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335647/
https://www.ncbi.nlm.nih.gov/pubmed/34329940
http://dx.doi.org/10.1016/j.tranon.2021.101185
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author Bizzarri, Nicolò
Boldrini, Luca
Ferrandina, Gabriella
Fanfani, Francesco
Pedone Anchora, Luigi
Scambia, Giovanni
Gueli Alletti, Salvatore
author_facet Bizzarri, Nicolò
Boldrini, Luca
Ferrandina, Gabriella
Fanfani, Francesco
Pedone Anchora, Luigi
Scambia, Giovanni
Gueli Alletti, Salvatore
author_sort Bizzarri, Nicolò
collection PubMed
description Liu and colleagues performed a retrospective study to validate a computed tomography (CT) scan-based radiomic model to detect lymph node metastasis in cervical cancer. The proposed model incorporating the arterial and venous phase CT-scan features represented a non-invasive method exhibiting high sensitivity in the prediction of lymph node metastasis. It is well established that lymph node metastasis is one of the most significant prognostic factors in cervical cancer. For this reason, management of cervical cancer is strictly related to lymph node status, with international guidelines recommending definitive chemo-radiation in case of metastatic lymph node. More and more evidence supports the use of sentinel lymph node in early-stage cervical cancer but its frozen section analysis may result in false negative results; in locally-advanced stages staging para-aortic lymphadenectomy is proposed by many Authors to tailor chemoradiotherapy treatment, with potential intra-and post-operative related complications. The use of a validated radiomic model able to predict lymph node metastases in radiologically normal lymph nodes may represent an essential tool to possibly spare lympadenectomy related morbidity.
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spelling pubmed-83356472021-08-15 Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node? Bizzarri, Nicolò Boldrini, Luca Ferrandina, Gabriella Fanfani, Francesco Pedone Anchora, Luigi Scambia, Giovanni Gueli Alletti, Salvatore Transl Oncol Commentary Liu and colleagues performed a retrospective study to validate a computed tomography (CT) scan-based radiomic model to detect lymph node metastasis in cervical cancer. The proposed model incorporating the arterial and venous phase CT-scan features represented a non-invasive method exhibiting high sensitivity in the prediction of lymph node metastasis. It is well established that lymph node metastasis is one of the most significant prognostic factors in cervical cancer. For this reason, management of cervical cancer is strictly related to lymph node status, with international guidelines recommending definitive chemo-radiation in case of metastatic lymph node. More and more evidence supports the use of sentinel lymph node in early-stage cervical cancer but its frozen section analysis may result in false negative results; in locally-advanced stages staging para-aortic lymphadenectomy is proposed by many Authors to tailor chemoradiotherapy treatment, with potential intra-and post-operative related complications. The use of a validated radiomic model able to predict lymph node metastases in radiologically normal lymph nodes may represent an essential tool to possibly spare lympadenectomy related morbidity. Neoplasia Press 2021-07-27 /pmc/articles/PMC8335647/ /pubmed/34329940 http://dx.doi.org/10.1016/j.tranon.2021.101185 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Commentary
Bizzarri, Nicolò
Boldrini, Luca
Ferrandina, Gabriella
Fanfani, Francesco
Pedone Anchora, Luigi
Scambia, Giovanni
Gueli Alletti, Salvatore
Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?
title Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?
title_full Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?
title_fullStr Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?
title_full_unstemmed Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?
title_short Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?
title_sort radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335647/
https://www.ncbi.nlm.nih.gov/pubmed/34329940
http://dx.doi.org/10.1016/j.tranon.2021.101185
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