Actively Recruiting

All Genders
ID06745830

Lymph Node Grading Strategy for Invasive Lung Adenocarcinoma A Retrospective Study Based on the IASLC Grading System

Led by Fudan University · Updated on 2024-12-20

2998

Participants Needed

1

Research Sites

53 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are studying lung adenocarcinoma to understand how the percentage of high-grade patterns in metastatic lymph nodes (mLNs) relates to patient outcomes. This retrospective cohort study aims to explore the prognostic value of different pathologic patterns found in metastatic lymph nodes. The investigation seeks to clarify how these histologic patterns might predict poor outcomes in patients with this type of lung cancer. The study involves no intervention, as it is based on reviewing past medical records and pathology slides from patients who underwent surgical resection. Patients included were treated at the Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, between January 2011 and September 2021. The research focuses on analyzing existing tissue samples and clinical data to assess the grading patterns in metastatic lymph nodes. Participants in this study had their surgical and pathological data examined retrospectively. Researchers evaluate the pathologic patterns in lymph nodes and track outcomes over a 5-year period to measure recurrence-free survival (RFS). This long-term follow-up helps to determine the relationship between lymph node pathology and patient prognosis without requiring new treatments or interventions during the study.

CONDITIONS

Official Title

Lymph Node Pathologic Grading Strategy

Who Can Participate

All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients with invasive lung adenocarcinoma who underwent surgical resection at Fudan University Shanghai Cancer Center between January 2011 and September 2021
Not Eligible

You will not qualify if you...

  • Adenocarcinoma in situ, minimally invasive adenocarcinoma, invasive mucinous adenocarcinoma, and other adenocarcinoma variants
  • Incomplete data on common driver mutations
  • Unavailable pathologic slides

AI-Screening

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Trial Site Locations

Total: 1 location

1

Fudan University Shanghai Cancer Center

Shanghai, Shanghai Municipality, China, 200032

Actively Recruiting

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Research Team

Z

Zhu

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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