跳至主要内容
临床试验/NCT06738459
NCT06738459招募中不适用

Precision Retrospective Integrative Study for Metastatic Lymph Nodes in Breast Cancer

Centro di Riferimento Oncologico - Aviano4 个研究点 分布在 2 个国家目标入组 1,500 人开始时间: 2025年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
1,500
试验地点
4
主要终点
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

研究概览

简要总结

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

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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)

排除标准

  • 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

结局指标

主要结局

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

时间窗: up to 2 years

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

次要结局

  • 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)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (4)

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