RADIOVAL: Clinical Validation of Radiomics Artificial Intelligence: Application to Breast Cancer Treatment Planning
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.
|Condition or Disease||Intervention/Treatment||Phase|
Arms and Interventions
|non respondants of neo treatment|
those patients with no response or partial response when administered with Chemotherapy prior to sugery
Other: The 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
Primary Outcome Measures
- 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).
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
- Patient with incomplete or low-quality data (radiological, pathological or clinical)
Contacts and Locations
LocationsNo locations specified.
Sponsors and Collaborators
- Instituto de Investigacion Sanitaria La Fe
- Karolinska Institutet
- Medical University of Gdansk
- Medical School University of Zagreb
- Medical University of Vienna
- Hacettepe University Hospital
- Alexander Fleming Institute
- Ain Shams University
Study Documents (Full-Text)None provided.