Clinical trial Recruiting at 4 sites Observational Ages 18 and up

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 typeObservational
Ages18 Years and up
SexAll
Enrollment1500 (estimated)
SponsorCentro di Riferimento Oncologico - Aviano
Academic / other
Locations4 sites (Villach and 3 other locations)
StatusRecruiting
StartedJanuary 1, 2025
Main results expectedJuly 31, 2026
Study endsJuly 31, 2026
Registry record updatedDecember 17, 2024
Trial IDNCT06738459 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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.