Comparing Decision on Aesthetics After Breast Cancer Locoregional Treatment.

NCT ID: NCT05196269

Last Updated: 2025-05-07

Basic Information

• Recruitment Status: ACTIVE_NOT_RECRUITING
• Clinical Phase: NA
• Total Enrollment: 1030 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2023-08-08
• Study Completion Date: 2026-12-31

Brief 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.

Detailed Description

The CINDERELLA clinical trial will be an open, prospective randomized trial that Champalimaud Foundation will coordinate. Five clinical centres agreed to participate in the trial. The trial will be designed and reported according to the latest SPIRIT-AI and CONSORT-AI guidelines.

The randomization will be made by adopting a dynamical approach following the Minimization Method. Assignment of the recruited patients to the study arms will take into account the stratification of the participants (younger and older than 50 / breast-conserving or mastectomy / mastectomy with or without radiotherapy), aiming to reduce bias and confounding by assuring the balance of the group.

After being proposed to the trial and checked for all the eligibility criteria, patients will be given the complete patient information before signing the informed consent.

For the five centres, a minimum of 515 patients should be enrolled in each arm of the study. After randomization, the patient will either follow:

1. - The intervention arm with the CINDERELLA APProach with the introduction and access to CANKADO with the BreLO AI system. The Expectations Questionnaire, Healthcare Professionals Multidimensional Evaluation Questionnaire and standard patient-reported outcomes measures (PROMs) (EQ-5D-5L and BREAST Q ICHOM) will be filed electronically. Standard photographic capture will be taken at this point. After the photographic capture, the BreLO-AI will match the patient biometrics and images with the more identical case existing in the BreLO repository and already classified by the BCCT.core into excellent, good, fair and poor. The new patient can then visualize the results. In case of doubts, queries will be answered through the app or, if needed, by phone call or booking another appointment. Questionnaires and Photographs will be repeated after wound healing is complete, six months and one year after the end of treatment (surgery or radiotherapy if radiotherapy was done).

2. - The control arm with the Conventional approach with a theoretical explanation by the doctor/nurse of the proposed locoregional treatment and possible outcomes. The Expectations Questionnaire, Healthcare Professionals Multidimensional Evaluation Questionnaire and standard PROMs (EQ-5D-5L and BREAST Q ICHOM) will be filed electronically. Standard photographic capture will be taken at this point. In case of doubts, the patient will book another appointment with the doctor/nurse, as usually done in routine practice. Questionnaires and Photographs will be repeated after healing is complete, six months and one year after the end of treatment (surgery or radiotherapy if radiotherapy was done).

Digital Photography (same protocol for all participating centres) - a similar protocol for image capture will exist for all centres. The standalone photography with an automatic robot will be progressively implemented (www.photorobot.com).

DATA COLLECTION

PATIENT-RELATED FACTORS

• Date of birth, Weight / Height / BMI, Thoracic perimeter, Bra size and cup
• Education degree, Profession, Hobbies
• Marital status, Pregnancies and offspring
• Breast-feeding, Menopausal status
• Smoking
• Connective tissue diseases
• Confirmed Pathogenic Germline Variant

TUMOUR-RELATED FACTORS

• Unilateral (unifocal, multifocal, multicentric) Bilateral
• Histological type according to World Health Organization (WHO) classification (e.g., invasive ductal carcinoma, lobular carcinoma) (size in mm) staging ER, PR, Her2, Ki67, cTNM - pTNM / ypTNM

TREATMENT-RELATED FACTORS

*Type of Surgery/ Type of Reconstruction: (data collection regarding surgery should also include acellular dermal matrice (ADM) if used - type and placement) TYPE OF SURGERY: C1 - Conservative surgery - unilateral or bilateral, C2 - Conservative surgery with bilateral reduction (uni or bilateral), C3 - Conservative surgery with LD or LICAP/TDAP, C4 - Conservative surgery with bilateral breast augmentation, M1 - Mastectomy with unilateral reconstruction with implant, M2 - Mastectomy with unilateral reconstruction with autologous flap, M3 - Mastectomy with bilateral reconstruction with implants, M4 - Mastectomy with bilateral reconstruction with autologous flaps, M5 - Mastectomy with unilateral reconstruction with implant and contralateral symmetrisation with implant (augmentation), M6 - Mastectomy with unilateral reconstruction with implant and contralateral symmetrisation with reduction, M7 - Mastectomy with unilateral reconstruction with autologous flap and contralateral symmetrisation with reduction, M8 - Mastectomy with unilateral reconstruction with autologous flap and contralateral symmetrisation with implant (augmentation).

STATISTICAL ANALYSIS

An extensive descriptive analysis will be performed to characterize the groups in detail and the outcomes of the study at baseline as well as in the following points of data collection. Concerning the primary objectives, models of the class of generalized linear mixed models (in particular, multinomial regression models for ordinal data) will be estimated to evaluate the effect of the training and the women's characteristics on their evaluation of the aesthetic results of the surgery at each time and along time through longitudinal analysis. The Wilcoxon signed rank test for pairs will also be used to evaluate the effect of training on the level of agreement of the expectations and the final result. Weighted Cohen's k will be calculated for both groups (train and control) and compared using a statistical test and/or bootstrap techniques to assess the improvement in the ability to classify the aesthetic result of their surgery provided by training. A measure of similarity between self-evaluation and the BCCT.core will be computed for each participant, and a beta regression model will be estimated to assess the effect of training, controlling variables that can play as confounders, such as women's and disease characteristics at each time point and in a longitudinal perspective. Concerning the secondary objectives, the patient-reported outcome measures administered will be scored according to the official guidelines provided by the developers of the instruments. Besides the descriptive statistics, the outcomes will be compared between groups using adequate statistical tests. Again, models of the class of the general linear mixed models will be used.

Conditions

Breast Cancer

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: OTHER
• Blinding Strategy: NONE

Study Groups

Artificial Intelligence and Digital Health Arm

Using an Artificial Intelligence approach integrated in a cloud-based healthcare platform CANKADO to give the patient complete information about the proposed type of locoregional treatment and access to photographs and data of patients with similar characteristics previously treated with the same technique. All interaction will be through the CANKADO Platform.

Group Type: EXPERIMENTAL

Artificial Intelligence and Digital Health Arm

Intervention Type: DEVICE

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.

Control Comparator

The standard approach of proposing patients for locoregional treatment with or without printed or digital materials and hypothetic visualization of results.

Group Type: OTHER

Artificial Intelligence and Digital Health Arm

Intervention Type: DEVICE

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.

Interventions

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.

Intervention Type: DEVICE

Other Intervention Names

Artificial Intelligence and cloud-based digital health platform

Eligibility Criteria

Inclusion Criteria

• More than 18 years old
• Written informed consent
• Primary breast cancer in situ or invasive without evidence of systemic disease - non Stage IV or locally advanced non-operable breast cancer.
• Eastern Cooperative Oncology Group (ECOG) performance status 0 or 1
• Uni or Bilateral surgery even if prophylactic in one side
• Capacity to use a web-based app autonomously or with home-based support

Exclusion:

• Mastectomy without reconstruction
• Pregnancy or lactation
• Previous radiation to breast/chest (e.g., lymphoma)
• Previous ipsilateral breast surgery due to malignant disease.
• Other neoplasm in the last 5 years (excluding basal cell carcinoma of the skin and adequately treated carcinoma in situ of the cervix)
• Severe skin disease that will contra-indicate the use of radiotherapy
• Prophylactic surgery

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

European Commission

OTHER

Sponsor Role: collaborator

INESC TEC - Institute for Systems and Computer Engineering, Technology and Science (Porto, Portugal)

UNKNOWN

Sponsor Role: collaborator

Cankado GmbH

INDUSTRY

Sponsor Role: collaborator

FCiências.ID - Associação para a Investigação e Desenvolvimento de Ciências (Lisbon, Portugal)

UNKNOWN

Sponsor Role: collaborator

Bocconi University

OTHER

Sponsor Role: collaborator

Fundacao Champalimaud

OTHER

Sponsor Role: lead

Responsible Party

Maria-Joao Cardoso

Head Breast Surgeon - MD, PhD

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Maria-Joao Cardoso, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Champalimaud Foundation

Locations

Universitätsklinikum Heidelberg

Heidelberg, , Germany

Sheba Medical Center

Ramat Gan, , Israel

IRCCS Ospedale San Raffaele

Milan, , Italy

Copernicus Mamma Centrum, Wojewodzkie Centrum Onkologii, Copernicus Podmiot Leczniczy

Gdansk, Pomeranian, Poland

Gdański Uniwersytet Medyczny

Gdansk, Pomeranian, Poland

Champalimaud Research and Clinical Centre, Champalimaud Foundation

Lisbon, Lisbon District, Portugal

Countries

Germany; Israel; Italy; Poland; Portugal

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Other Identifiers

CINDERELLA

Identifier Type: -

Identifier Source: org_study_id