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Clinical Validation of Radiomics Artificial Intelligence: Application to Breast Cancer Treatment Planning

Clinical Validation of Radiomics Artificial Intelligence: Application to Breast Cancer

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05070884
Acronym
RADIOVAL
Enrollment
5000
Registered
2021-10-07
Start date
2023-06-01
Completion date
2025-12-31
Last updated
2023-02-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer

Brief summary

RadioVal will develop and implement interoperable solutions for clinical deployment of the radiomics tools, including information, training, and communication packages for clinicians and patients, as well as standard operating procedures for the integration of radiomics in clinical oncology. With this study, we will clinically validate these solutions, by looking at their reliability for precise breast cancer diagnosis, treatment recommendation and prognosis estimate, treatment response, evaluation of residual disease and outcome prediction.

Interventions

OTHERThe development of new clinical AI solutions to predict treatment response to neoadjuvant chemotherapy (NAC) in breast cancer

Evaluate response to neoadjuvant treatment in advanced breast cancer

Sponsors

Karolinska Institutet
CollaboratorOTHER
Medical University of Gdansk
CollaboratorOTHER
Medical School University of Zagreb
CollaboratorUNKNOWN
Medical University of Vienna
CollaboratorOTHER
Hacettepe University
CollaboratorOTHER
Alexander Fleming Institute
CollaboratorUNKNOWN
Ain Shams University
CollaboratorOTHER
Instituto de Investigacion Sanitaria La Fe
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 85 Years

Inclusion criteria

* Females ≥ 18 years up to 85 years old * Individuals referred to hospitals for diagnosis of breast cancer * Availability of radiological images: 2D mammography or 2D synthetic digital tomosynthesis, ultrasound, or magnetic resonance * Availability of pathological report (surgical specimen) * Availability of (Neoadjuvant) treatment allocation (scheme, duration, benefit) * Availability of treatment response

Exclusion criteria

* Patient with incomplete or low-quality data (radiological, pathological or clinical)

Design outcomes

Primary

MeasureTime frameDescription
Percentage of patients non-respondents vs respondents in neoadjuvant breast cancer treatment (Estimate tumor aggressiveness)Baseline and after neoadjuvant treatment (4-6 months)Proportion of patients who have complete response evaluating the target lesion according to Miller/Payne Grading system \[Ogston et al., 2003\]: 1A. Evaluation of target Tumor: G5 as pathological complete response, no tumor left; G4:more than 90% loss of tumor cells; G3: between 30-90% reduction in tumor cells; G2: loss of tumor \<30%; G1: no reduction. 1B: Evaluating the lymph nodes: A: negative; B: lymph nodes with metastasis and without changes by chemotherapy; C: lymph nodes with metastasis with evidence of partial response, D: lymph nodes with changes attributed to response without residual infiltration. 1C: Using images to evaluated radiological response: Size and diameter in millimeters of the target lesion using RM and TC or PET/CT for extension analysis (lymph nodes and metastasis).

Countries

Argentina, Austria, Croatia, Egypt, Poland, Spain, Sweden, Turkey (Türkiye)

Contacts

Primary ContactAna Penades-Blasco, M.Ec
ana_penades@iislafe.es+34 961245633

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026