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

RECRUITINGSponsored by Shanghai Pulmonary Hospital, Shanghai, China
Actively Recruiting
SponsorShanghai Pulmonary Hospital, Shanghai, China
Started2024-10-15
Est. completion2024-12-31
Eligibility
Age18 Years – 85 Years
View on ClinicalTrials.gov →

NCT05925764

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

Age: 18 Years – 85 Years
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;
4. Participants who have received neoadjuvant therapy.

Conditions6

Artificial IntelligenceCancerIASLC Grading SystemLung AdenocarcinomaLung CancerWhole Slide Image

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