Clinical trials: IASLC Grading System
Lung Adenocarcinoma
Lymph Node Pathologic Grading Strategy
The percentage of high-grade patterns in metastatic LNs (mLNs) that can predict poor outcomes has yet to be determined. Additionally, the potential implications of other histologic patterns in metastatic lymph nodes on patient…
- Trial name
- NCT06745830
- Testing
- No intervention
- Where
- China
- Volunteers
- 2,998 people
- Sponsor
- Fudan University
Lung Cancer
IASLC Grading System as a Predictor for EGFR-TKI Therapy
The investigators previously validated the grading system proposed by International Association for the Study of Lung Cancer (IASLC) for invasive nonmucinous lung adenocarcinoma (LADC) for its reproducibility, prognostication…
- Trial name
- NCT06131645
- Testing
- IASLC grading system
- Where
- China
- Volunteers
- 2,160 people
- Sponsor
- Fudan University
Lung Adenocarcinoma, Whole Slide Image
WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma
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
- Lung Adenocarcinoma, Whole Slide Image, IASLC Grading System, Artificial Intelligence
- Trial name
- NCT05925764
- Testing
- Whole Slide Image based Deep Learning
- Where
- 3 sites in China
- Volunteers
- 200 people
- Sponsor
- Shanghai Pulmonary Hospital, Shanghai, China