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Clinical Validation of an AI-based approach to improve the shared decision-making process and outcomes in Breast Cancer Patients proposed for Locoregional treatment

Description du projet

Prédire le résultat esthétique de la chirurgie du cancer du sein

Le traitement du cancer du sein implique généralement une chirurgie qui varie en fonction de la tumeur, de la taille et de la forme des seins, ou encore des souhaits personnels. La chirurgie conservatrice du sein et la mastectomie avec ou sans reconstruction mammaire ou ablation des ganglions lymphatiques font partie des options disponibles. En outre, la radiothérapie peut être utilisée pour optimiser le contrôle locorégional. Cependant, il n’existe actuellement aucun moyen de visualiser le résultat esthétique après les traitements locorégionaux du cancer du sein. Le projet CINDERELLA, financé par l’UE, propose de créer une application facile à utiliser et reposant sur l’IA, qui exploite une base de données clinique pour effectuer une comparaison d’images et de données biométriques afin de créer des illustrations qui simulent le résultat de la chirurgie. La plateforme appelée CINDERELLA APProach renforcera le rôle du patient dans la prise de décision clinique.

Objectif

Breast cancer is the most commonly diagnosed cancer, with an estimated 2.3 million new cases per year globally. Approximately 90% of these patients will undergo breast surgery with/without radiation (locoregional treatment). Different surgical techniques can be offered to the patient, each leading to completely different aesthetic outcomes. Moreover, for different patients, undergoing the same surgery, the aesthetic outcome could be completely different based on individual patient's factors (e.g age, body habitus). In the CINDERELLA project, we will be using the BreLO AI system (an artificial intelligence-based tool for classification of aesthetic outcomes and matching data and photographs) integrated in CANKADO (a cloud-based healthcare platform) to create an easy-to-use application that can be used on any electronic device, to simulate visually to the patient the aesthetic outcome of a certain surgery. The CINDERELLA APProach is unique as it uses a clinical database and performs biometric matching, to create images that simulate to the patient the outcome of surgery. In the CINDERELLA trial (running during the project) we plan to compare if the application helped to fulfil the expectation and lead to a better quality of life. By feeding new clinical and photographic information to the CINDERELLA APProach after surgery, the artificial intelligence platform will be able to improve for the next cases. This trial will be practice-changing in the field of patient education and shared decision making. CINDERELLA platform will help to overcome any miscommunication and potential boundaries in patient's or physician's understanding of the potential outcomes of locoregional treatment of breast cancer. We believe that the CINDERELLA APProach will be used in the future to other locoregional treatments that might change patients aesthetic appearance. Thus, CINDERELLA APProach will be the forerunner for new innovative tools for communicating with our patients.

Coordinateur

FUNDACAO D. ANNA DE SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD
Contribution nette de l'UE
€ 866 750,00
Adresse
AVENIDA BRASILIA, CENTRO DE INVESTIGACAO DA FUNDACAO CHAMPALIMAUD
1400-038 Lisboa
Portugal

Voir sur la carte

Région
Continente Área Metropolitana de Lisboa Área Metropolitana de Lisboa
Type d’activité
Research Organisations
Liens
Coût total
€ 867 500,00

Participants (9)