RecruitingNCT05925764

WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma

Whole Slide Image Based Deep Learning for Diagnosing the International Association for the Study of Lung Cancer Proposed Grading System of Lung Adenocarcinoma

Sponsor

Shanghai Pulmonary Hospital, Shanghai, China

Enrollment

200 participants

Start Date

Oct 15, 2024

Study Type

OBSERVATIONAL

Conditions

Lung Adenocarcinoma Artificial Intelligence Whole Slide Image IASLC Grading System

Summary

The purpose of this study is to evaluate the performance of a whole slide image based deep learning model for diagnosing the IASLC grading system in resected lung adenocarcinoma based on a multicenter prospective cohort.

Eligibility

Min Age: 18 YearsMax Age: 85 Years

Plain Language Summary

Simplified for easier understanding

This study uses artificial intelligence to analyze tissue slides from lung cancer surgery, aiming to better classify a specific type of lung cancer called adenocarcinoma using a new grading system. **You may be eligible if...** - You are between 18 and 85 years old - You have been diagnosed with primary lung adenocarcinoma confirmed after surgery - You are willing to provide consent for your tissue slides to be used **You may NOT be eligible if...** - You have multiple lung lesions - Your tissue slide images are poor quality - You have a specific mucus-producing type of lung adenocarcinoma - You received chemotherapy or other cancer treatment before your surgery Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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