WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma
Recruiting · NCT05925764 · Observational (researchers observe without assigning treatment) · Lead sponsor: Shanghai Pulmonary Hospital, Shanghai, China
View the official record on ClinicalTrials.gov →Interventions studied
Whole Slide Image based Deep Learning
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.
Who can take part
Age range
18 Years to 85 Years
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)
Inclusion criteria
- Age ranging from 18-85 years old;
- Pathological confirmation of primary lung adenocarcinoma after surgery;
- Obtained written informed consent.
Exclusion criteria
- Multiple lung lesions;
- Poor quality of whole slide images;
- Mucinous adenocarcinomas and variants;
- Participants who have received neoadjuvant therapy.
Where it is running
3 locations listed.
- Affiliated Hospital of Zunyi Medical University - Zunyi, Guizhou, China
- The First Affiliated Hospital of Nanchang University - Nanchang, Jiangxi, China
- Ningbo HwaMei Hospital - Ningbo, Zhejiang, China