# CT-based Radiomic Algorithm for Assisting Surgery Decision and Predicting Immunotherapy Response of NSCLC

> **NCT04452058** · — · UNKNOWN · sponsor: **Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University** · enrollment: 500 (estimated)

## Conditions studied

- Predictive Cancer Model
- Lung Cancer
- Preinvasive Adenocarcinoma

## Interventions

- **OTHER:** Radiomic Algorithm

## Key facts

- **NCT ID:** NCT04452058
- **Lead sponsor:** Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2019-08-01
- **Primary completion:** 2021-12-01
- **Final completion:** 2022-12-30
- **Target enrollment:** 500 (ESTIMATED)
- **Last updated:** 2020-06-30

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT04452058

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT04452058, "CT-based Radiomic Algorithm for Assisting Surgery Decision and Predicting Immunotherapy Response of NSCLC". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT04452058. Licensed CC0.

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