Comparing Decision on Aesthetics After Breast Cancer Locoregional Treatment.
NCT05196269 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1030
Last updated 2025-05-07
Summary
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, the aesthetic outcome could be completely different for patients undergoing the same surgery based on individual patient factors (e.g., age, body habitus). In the CINDERELLA trial, the investigators will be using the (Breast Locoregional (BreLO) AI system (an artificial intelligence-based tool for the classification of aesthetic outcomes and matching data and photographs) integrated into 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 or radiation treatment. In the CINDERELLA trial, the investigators plan to compare whether the application helped fulfil the expectations and lead to a better quality of life compared with the classical approach. In the classical approach (control arm), doctors usually propose a locoregional treatment and explain theoretically how the result will be. Nurses help by explaining further details about the surgery and possible outcomes. In most centres, no photographic evaluation is done, and expectations are not measured. The CINDERELLA trial will help overcome miscommunication and potential boundaries in the patient's or physician's understanding of the potential outcomes of locoregional breast cancer treatment.
Conditions
Interventions
- DEVICE
-
Artificial Intelligence and Digital Health Arm
A previous large database repository of images having thousands of pre and postoperative photographs of breast cancer patients proposed for locoregional treatment with clinical and biometric data will be matched using artificial intelligence within the CANKADO platform. Patients proposed for breast cancer locoregional treatment will have access to the software installed, and they will have access to all the information about the type of treatment they will receive. All the questions and questionnaires will be filled out online, and they can visualise the expected outcome from excellent to poor.
Sponsors & Collaborators
- collaborator OTHER
-
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science (Porto, Portugal)
collaborator UNKNOWN -
Cankado GmbH
collaborator INDUSTRY -
FCiências.ID - Associação para a Investigação e Desenvolvimento de Ciências (Lisbon, Portugal)
collaborator UNKNOWN -
Bocconi University
collaborator OTHER -
Fundacao Champalimaud
lead OTHER
Principal Investigators
-
Maria-Joao Cardoso, MD, PhD · Champalimaud Foundation
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-08-08
- Primary Completion
- 2026-04-30
- Completion
- 2026-12-31
Countries
- Germany
- Israel
- Italy
- Poland
- Portugal
Study Locations
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