Actively Recruiting
WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma
Led by Shanghai Pulmonary Hospital, Shanghai, China · Updated on 2024-10-21
200
Participants Needed
3
Research Sites
11 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age ranging from 18-85 years old;
- Pathological confirmation of primary lung adenocarcinoma after surgery;
- Obtained written informed consent.
You will not qualify if you...
- Multiple lung lesions;
- Poor quality of whole slide images;
- Mucinous adenocarcinomas and variants;
- Participants who have received neoadjuvant therapy.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 3 locations
1
Affiliated Hospital of Zunyi Medical University
Zunyi, Guizhou, China
Actively Recruiting
2
The First Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China
Actively Recruiting
3
Ningbo HwaMei Hospital
Ningbo, Zhejiang, China
Actively Recruiting
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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