Actively Recruiting

Age: 18Years +
All Genders
NCT06738459

Precision Retrospective Integrative Study for Metastatic Lymph Nodes in Breast Cancer

Led by Centro di Riferimento Oncologico - Aviano · Updated on 2024-12-17

1500

Participants Needed

4

Research Sites

82 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

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

CONDITIONS

Official Title

Precision Retrospective Integrative Study for Metastatic Lymph Nodes in Breast Cancer

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • 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)
Not Eligible

You will not qualify if you...

  • 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

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 4 locations

1

Landeskrankenhaus Villach

Villach, Austria, 9500

Actively Recruiting

2

KI4LIFE, Fraunhofer Austria Research

Austria, Austria, Italy, 9020

Actively Recruiting

3

Klinikum Klagenfurt am Wörthersee Klagenfurt am Wörthersee

Villach, Austria, Italy, 9500

Actively Recruiting

4

Centro di Riferimento Oncologico

Aviano, Pordenone, Italy, 33081

Actively Recruiting

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Research Team

F

Fabio Del Ben, PhD

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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