Improving detection of lymph node involvement in breast cancer using advanced imaging techniques
Official title: Precision Retrospective Integrative Study for Metastatic Lymph Nodes in Breast Cancer
Run by Centro di Riferimento Oncologico - Aviano · NCT06738459 · Data updated 2026-11-12
This study is trying to see if using advanced imaging techniques can help doctors better detect lymph node involvement in breast cancer patients to improve their treatment plans.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1500 (estimated) |
| Sponsor | Centro di Riferimento Oncologico - Aviano Academic / other |
| Locations | 4 sites (Villach and 3 other locations) |
| Status | Recruiting |
| Started | January 1, 2025 |
| Main results expected | July 31, 2026 |
| Study ends | July 31, 2026 |
| Registry record updated | December 17, 2024 |
| Trial ID | NCT06738459 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include patients diagnosed with stage I-III breast cancer who have undergone MRI and biopsy or surgery of axillary lymph nodes.
✕Probably not a fit
Patients with insufficient quality MRI images or a previous history of breast cancer may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to enhance the accuracy of detecting lymph node metastases in breast cancer patients by employing an integrative multidata approach (IMA) that combines clinical and laboratory data with multiparametric MRI. The study focuses on patients diagnosed with breast cancer who have undergone MRI and biopsy or surgery of axillary lymph nodes. By analyzing longitudinal imaging data, the study seeks to address the limitations of current methods, such as sentinel lymph node biopsy, which often yield negative results. The primary goal is to improve staging and treatment planning for breast cancer patients.
Why it matters
Potential benefit: If successful, this study could lead to more accurate detection of lymph node involvement, improving treatment outcomes for breast cancer patients.
How similar studies have gone: While few studies have explored the use of artificial intelligence in detecting lymph node metastases on MRI, this integrative approach is novel and has not been extensively tested.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients diagnosed with breast cancer who underwent MRI and biopsy or surgery of axillary lymph nodes as part of their diagnosis and treatment * Patients of all genders, ages, and stage I-III of breast cancer * Patients who underwent neoadjuvant therapy and have longitudinal imaging data available for analysis (for secondary outcome analysis) Exclusion Criteria: * Patients whose MRI images were of insufficient quality for analysis * Patients who had a previous history of breast cancer * Patients with a history of axillary surgery or lymph node dissection prior to the current diagnosis of breast cancer * Patients who received neoadjuvant therapy at another institution
Where it's running
-
Landeskrankenhaus Villach
Villach, Austria Recruiting -
KI4LIFE, Fraunhofer Austria Research
Austria, Austria, Italy Recruiting -
Klinikum Klagenfurt am Wörthersee Klagenfurt am Wörthersee
Villach, Austria, Italy Recruiting -
Centro di Riferimento Oncologico
Aviano, Pordenone, Italy Recruiting
Study contacts
- Study coordinator: Fabio Del Ben, PhD
- Email: fabio.delben@cro.it
- Phone: 0434659101
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.