Prediction of Outcome to Neoadjuvant Therapy in Non-small Cell Lung Cancer（NSCLC）

A Study on Multimodal Data Prediction of Outcome to Neoadjuvant Therapy in NSCLC

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?

Inclusion Criteria:

1. pathologically diagnosed non-small cell lung cancer
2. The treatment plan is：receiving neoadjuvant chemo-immunotherapy during the study period, followed by surgical resection

Exclusion Criteria:

1. recurrent or metastatic lung cancer;
2. patients with other primary tumors