Clinical Validation of Radiomics Artificial Intelligence: Application to Breast Cancer Treatment Planning (RADIOVAL)
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ClinicalTrials.gov Identifier: NCT05070884 |
Recruitment Status :
Not yet recruiting
First Posted : October 7, 2021
Last Update Posted : October 7, 2021
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Condition or disease | Intervention/treatment |
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Breast Cancer | Other: The development of new clinical AI solutions to predict treatment response to neoadjuvant chemotherapy (NAC) in breast cancer |
Study Type : | Observational |
Estimated Enrollment : | 5000 participants |
Observational Model: | Cohort |
Time Perspective: | Retrospective |
Official Title: | Clinical Validation of Radiomics Artificial Intelligence: Application to Breast Cancer |
Estimated Study Start Date : | June 2023 |
Estimated Primary Completion Date : | August 2025 |
Estimated Study Completion Date : | December 2025 |

Group/Cohort | Intervention/treatment |
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non respondants of neo treatment
those patients with no response or partial response when administered with Chemotherapy prior to sugery
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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 |
- Percentage of patients non-respondents vs respondents in neoadjuvant breast cancer treatment (Estimate tumor aggressiveness) [ Time Frame: 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).

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Ages Eligible for Study: | 18 Years to 85 Years (Adult, Older Adult) |
Sexes Eligible for Study: | Female |
Sampling Method: | Non-Probability Sample |
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)

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT05070884
Contact: Ana Penades-Blasco, M.Ec | +34 961245633 | ana_penades@iislafe.es |
Responsible Party: | Instituto de Investigacion Sanitaria La Fe |
ClinicalTrials.gov Identifier: | NCT05070884 |
Other Study ID Numbers: |
RADIOVAL |
First Posted: | October 7, 2021 Key Record Dates |
Last Update Posted: | October 7, 2021 |
Last Verified: | September 2021 |
Individual Participant Data (IPD) Sharing Statement: | |
Plan to Share IPD: | No |
Plan Description: | N/D |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |
Breast Neoplasms Neoplasms by Site Neoplasms Breast Diseases Skin Diseases |