Actively Recruiting
Prediction of Outcome to Neoadjuvant Therapy in Non-small Cell Lung Cancer（NSCLC）
Led by Qian Chu · Updated on 2026-03-19
500
Participants Needed
2
Research Sites
43 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This observational study aims to construct and validate the performance of a multimodal predictive model in forecasting the outcomes of neoadjuvant therapy in patients with NSCLC. The core research question is: Can a multi-model approach predict outcomes of neoadjuvant therapy for non-small cell lung cancer and provide clinical recommendations?
CONDITIONS
Official Title
Prediction of Outcome to Neoadjuvant Therapy in Non-small Cell Lung Cancer（NSCLC）
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Pathologically diagnosed non-small cell lung cancer
- Planned to receive neoadjuvant chemo-immunotherapy during the study period followed by surgical resection
You will not qualify if you...
- Recurrent or metastatic lung cancer
- Patients with other primary tumors
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 2 locations
1
Tongji hospital
Wuhan, Hubei, China, 430030
Actively Recruiting
2
Sir Run Run Shaw Hospital
Hangzhou, Zhejiang, China, 430030
Actively Recruiting
Research Team
M
Minghao Hu
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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