Prediction of Outcome to Neoadjuvant Therapy in Non-small Cell Lung Cancer(NSCLC)
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: NSCLC, Neoadjuvant Therapy. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
A Study on Multimodal Data Prediction of Outcome to Neoadjuvant Therapy in NSCLC
Overview
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?
Primary outcome measures
- pathologic response [Time frame: Perioperative]
Secondary outcome measures (1)
- EFS [Time frame: One year after the treatment ended]
Eligibility criteria
Inclusion criteria
- pathologically diagnosed non-small cell lung cancer
- The treatment plan is:receiving neoadjuvant chemo-immunotherapy during the study period, followed by surgical resection
Exclusion criteria
- recurrent or metastatic lung cancer;
- patients with other primary tumors
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
China · 2 centers
- Tongji hospital — Wuhan
- Sir Run Run Shaw Hospital — Hangzhou
Identifiers
NCT: NCT07388771 · TJ-IRB202512147