NCT06738459

Brief Summary

Accurate assessment of axillary lymph nodes in patients with breast cancer is essential for prognosis and treatment planning. Staging and surgical management have evolved from axillary lymph node dissection to sentinel lymph node biopsy to minimize morbidity. However, sentinel lymph node biopsy has non-negligible morbidity, and more than 70% of biopsies are negative, calling into question its routine use. Magnetic resonance imaging (MRI) can be used to detect and stage lymph node metastases in situ, but its sensitivity and specificity are moderate to poor. Few studies have employed artificial intelligence to detect lymph node metastases on MRI images, and none have used an integrative multidata approach (IMA), defined as modeling the combination of clinical and laboratory data with multiparametric MRI. The primary objective of this retrospective observational study is to improve the accuracy of detecting lymph node involvement in breast cancer using IMA. The secondary objective is to allow longitudinal monitoring of the effects of neoadjuvant therapy on lymph node involvement

Trial Health

80
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,500

participants targeted

Target at P75+ for all trials

Timeline
3mo left

Started Jan 2025

Geographic Reach
2 countries

4 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress85%
Jan 2025Jul 2026

First Submitted

Initial submission to the registry

December 12, 2024

Completed
5 days until next milestone

First Posted

Study publicly available on registry

December 17, 2024

Completed
15 days until next milestone

Study Start

First participant enrolled

January 1, 2025

Completed
1.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 31, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 31, 2026

Last Updated

December 17, 2024

Status Verified

December 1, 2024

Enrollment Period

1.6 years

First QC Date

December 12, 2024

Last Update Submit

December 12, 2024

Conditions

Outcome Measures

Primary Outcomes (1)

  • The accuracy of detecting lymph node involvement using multiparametric MRI, clinical characteristics, and laboratory data, and to compare it to the accuracy of detecting lymph node involvement using MRI alone

    Sensitivity, specificity, positive predictive value, and negative predictive value of the integrative model will be calculated to evaluate the diagnostic performance of the model.

    up to 2 years

Secondary Outcomes (3)

  • Evaluate the changes in lymph node involvement over time

    up to 2 years

  • Evaluate the association between changes in lymph node involvement and overall survival

    up to 2 years

  • Evaluate the association between changes in lymph node involvement and progression free survival (PFS)

    up to 2 years

Eligibility Criteria

Age18 Years+
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study population will consist of patients with breast cancer who underwent MRI and biopsy or surgery of axillary lymph nodes as part of their diagnosis and treatment at the involved centers. Patients of all genders, ages, and stages I-III of breast cancer will be included in the study. Patients with incomplete data or whose MRI images were of insufficient quality for analysis will be excluded.

You may qualify if:

  • 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)

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (4)

Landeskrankenhaus Villach

Villach, 9500, Austria

RECRUITING

KI4LIFE, Fraunhofer Austria Research

Austria, Austria, 9020, Italy

RECRUITING

Klinikum Klagenfurt am Wörthersee Klagenfurt am Wörthersee

Villach, Austria, 9500, Italy

RECRUITING

Centro di Riferimento Oncologico

Aviano, Pordenone, 33081, Italy

RECRUITING

MeSH Terms

Conditions

Breast Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by SiteNeoplasmsBreast DiseasesSkin DiseasesSkin and Connective Tissue Diseases

Central Study Contacts

Fabio Del Ben, PhD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 12, 2024

First Posted

December 17, 2024

Study Start

January 1, 2025

Primary Completion (Estimated)

July 31, 2026

Study Completion (Estimated)

July 31, 2026

Last Updated

December 17, 2024

Record last verified: 2024-12

Locations