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

Grant agreement ID: nr. 101057389 

Principal investigator: Oriana Ciani (CeRGAS) 

Team UB/Cergas: Ludovica Borsoi, Elisabetta Listorti (CeRGAS) 

Partners: Fundação D. Anna de Sommer Champalimaud e Dr. Carlos Montez Champalimaud (CF); Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (ITEC); CANKADO Service GmbH (CKD); Universitatsklinikum Heidelberg (UKHD); Ospedale San Raffaele SRL (OSR); Associação para a Investigação e Desenvolvimento de Ciências (FCID); Faculdade de Ciências da Universidade de Lisboa (Affiliated Instituion) (CIENCIAS); Medical Research Infrastructure Development and Health Services Fund by the Sheba Medical Center (SHEBA); Gdański Uniwersytet Medyczny (GUMed) 

Sponsor: European Union's Horizon Europe Research and Innovation Action (Call HORIZON-HLTH-2021-DISEASE-04-04)  

Duration: June 2022-May 2026 

Abstract: 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 are 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 (NCT05196269) we aim to compare the innovative approach vs standard care in terms of expectation fulfilment, quality of life and economic, organizational and environmental impact. The CINDERELLA APProach is intended to improve on miscommunication and potential boundaries in patient's or physician's understanding of the potential outcomes of locoregional treatment of breast cancer. This project aspires to be practice changing in the field of patient education and shared decision making. 

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Material produced and publications:  

Kaidar-Person O, Antunes M, Cardoso JS, Ciani O, Cruz H, Di Micco R, Gentilini OD, Gonçalves T, Gouveia P, Heil J, Kabata P, Lopes D, Martinho M, Martins H, Mavioso C, Mika M, Montenegro H, Oliveira HP, Pfob A, Rotmensz N, Schinköthe T, Silva G, Tarricone R, Cardoso MJ; CINDERELLA Consortium. 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. PLoS One. 2023 Aug 3;18(8):e0289365. doi: 10.1371/journal.pone.0289365.  


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