WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma
Recruiting
Observational Study
Lung Adenocarcinoma
Whole Slide Image
IASLC Grading System
Artificial Intelligence
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 18 – 85
- Sex
- Any
- Study type
- Observational
- Participants needed
- 200 (estimated)
- Sponsor
- Shanghai Pulmonary Hospital, Shanghai, China · Other
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About This Trial
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.
Trial Locations
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Eligibility Criteria
Inclusion Criteria:
1. Age ranging from 18-85 years old;
2. Pathological confirmation of primary lung adenocarcinoma after surgery;
3. Obtained written informed consent.
Exclusion Criteria:
1. Multiple lung lesions;
2. Poor quality of whole slide images;
3. Mucinous adenocarcinomas and variants;
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Contacts
No contact information available.