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Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial

BACKGROUND: Breast cancer therapy improved significantly, allowing for different surgical approaches for the same disease stage, therefore offering patients different aesthetic outcomes with similar locoregional control. The purpose of the CINDERELLA trial is to evaluate an artificial-intelligence (...

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Autores principales: Kaidar-Person, Orit, Antunes, Marilia, Cardoso, Jaime S., Ciani, Oriana, Cruz, Helena, Di Micco, Rosa, Gentilini, Oreste D., Gonçalves, Tiago, Gouveia, Pedro, Heil, Jörg, Kabata, Pawel, Lopes, Daniela, Martinho, Marta, Martins, Henrique, Mavioso, Carlos, Mika, Martin, Montenegro, Helena, Oliveira, Helder P., Pfob, André, Rotmensz, Nicole, Schinköthe, Timo, Silva, Giovani, Tarricone, Rosana, Cardoso, Maria-Joao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399739/
https://www.ncbi.nlm.nih.gov/pubmed/37535564
http://dx.doi.org/10.1371/journal.pone.0289365
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author Kaidar-Person, Orit
Antunes, Marilia
Cardoso, Jaime S.
Ciani, Oriana
Cruz, Helena
Di Micco, Rosa
Gentilini, Oreste D.
Gonçalves, Tiago
Gouveia, Pedro
Heil, Jörg
Kabata, Pawel
Lopes, Daniela
Martinho, Marta
Martins, Henrique
Mavioso, Carlos
Mika, Martin
Montenegro, Helena
Oliveira, Helder P.
Pfob, André
Rotmensz, Nicole
Schinköthe, Timo
Silva, Giovani
Tarricone, Rosana
Cardoso, Maria-Joao
author_facet Kaidar-Person, Orit
Antunes, Marilia
Cardoso, Jaime S.
Ciani, Oriana
Cruz, Helena
Di Micco, Rosa
Gentilini, Oreste D.
Gonçalves, Tiago
Gouveia, Pedro
Heil, Jörg
Kabata, Pawel
Lopes, Daniela
Martinho, Marta
Martins, Henrique
Mavioso, Carlos
Mika, Martin
Montenegro, Helena
Oliveira, Helder P.
Pfob, André
Rotmensz, Nicole
Schinköthe, Timo
Silva, Giovani
Tarricone, Rosana
Cardoso, Maria-Joao
author_sort Kaidar-Person, Orit
collection PubMed
description BACKGROUND: Breast cancer therapy improved significantly, allowing for different surgical approaches for the same disease stage, therefore offering patients different aesthetic outcomes with similar locoregional control. The purpose of the CINDERELLA trial is to evaluate an artificial-intelligence (AI) cloud-based platform (CINDERELLA platform) vs the standard approach for patient education prior to therapy. METHODS: A prospective randomized international multicentre trial comparing two methods for patient education prior to therapy. After institutional ethics approval and a written informed consent, patients planned for locoregional treatment will be randomized to the intervention (CINDERELLA platform) or controls. The patients in the intervention arm will use the newly designed web-application (CINDERELLA platform, CINDERELLA APProach) to access the information related to surgery and/or radiotherapy. Using an AI system, the platform will provide the patient with a picture of her own aesthetic outcome resulting from the surgical procedure she chooses, and an objective evaluation of this aesthetic outcome (e.g., good/fair). The control group will have access to the standard approach. The primary objectives of the trial will be i) to examine the differences between the treatment arms with regards to patients’ pre-treatment expectations and the final aesthetic outcomes and ii) in the experimental arm only, the agreement of the pre-treatment AI-evaluation (output) and patient’s post-therapy self-evaluation. DISCUSSION: The project aims to develop an easy-to-use cost-effective AI-powered tool that improves shared decision-making processes. We assume that the CINDERELLA APProach will lead to higher satisfaction, better psychosocial status, and wellbeing of breast cancer patients, and reduce the need for additional surgeries to improve aesthetic outcome.
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spelling pubmed-103997392023-08-04 Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial Kaidar-Person, Orit Antunes, Marilia Cardoso, Jaime S. Ciani, Oriana Cruz, Helena Di Micco, Rosa Gentilini, Oreste D. Gonçalves, Tiago Gouveia, Pedro Heil, Jörg Kabata, Pawel Lopes, Daniela Martinho, Marta Martins, Henrique Mavioso, Carlos Mika, Martin Montenegro, Helena Oliveira, Helder P. Pfob, André Rotmensz, Nicole Schinköthe, Timo Silva, Giovani Tarricone, Rosana Cardoso, Maria-Joao PLoS One Registered Report Protocol BACKGROUND: Breast cancer therapy improved significantly, allowing for different surgical approaches for the same disease stage, therefore offering patients different aesthetic outcomes with similar locoregional control. The purpose of the CINDERELLA trial is to evaluate an artificial-intelligence (AI) cloud-based platform (CINDERELLA platform) vs the standard approach for patient education prior to therapy. METHODS: A prospective randomized international multicentre trial comparing two methods for patient education prior to therapy. After institutional ethics approval and a written informed consent, patients planned for locoregional treatment will be randomized to the intervention (CINDERELLA platform) or controls. The patients in the intervention arm will use the newly designed web-application (CINDERELLA platform, CINDERELLA APProach) to access the information related to surgery and/or radiotherapy. Using an AI system, the platform will provide the patient with a picture of her own aesthetic outcome resulting from the surgical procedure she chooses, and an objective evaluation of this aesthetic outcome (e.g., good/fair). The control group will have access to the standard approach. The primary objectives of the trial will be i) to examine the differences between the treatment arms with regards to patients’ pre-treatment expectations and the final aesthetic outcomes and ii) in the experimental arm only, the agreement of the pre-treatment AI-evaluation (output) and patient’s post-therapy self-evaluation. DISCUSSION: The project aims to develop an easy-to-use cost-effective AI-powered tool that improves shared decision-making processes. We assume that the CINDERELLA APProach will lead to higher satisfaction, better psychosocial status, and wellbeing of breast cancer patients, and reduce the need for additional surgeries to improve aesthetic outcome. Public Library of Science 2023-08-03 /pmc/articles/PMC10399739/ /pubmed/37535564 http://dx.doi.org/10.1371/journal.pone.0289365 Text en © 2023 Kaidar-Person et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Registered Report Protocol
Kaidar-Person, Orit
Antunes, Marilia
Cardoso, Jaime S.
Ciani, Oriana
Cruz, Helena
Di Micco, Rosa
Gentilini, Oreste D.
Gonçalves, Tiago
Gouveia, Pedro
Heil, Jörg
Kabata, Pawel
Lopes, Daniela
Martinho, Marta
Martins, Henrique
Mavioso, Carlos
Mika, Martin
Montenegro, Helena
Oliveira, Helder P.
Pfob, André
Rotmensz, Nicole
Schinköthe, Timo
Silva, Giovani
Tarricone, Rosana
Cardoso, Maria-Joao
Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial
title Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial
title_full Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial
title_fullStr Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial
title_full_unstemmed Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial
title_short Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial
title_sort evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: the cinderella trial
topic Registered Report Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399739/
https://www.ncbi.nlm.nih.gov/pubmed/37535564
http://dx.doi.org/10.1371/journal.pone.0289365
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