# Application of Machine Learning Algorithms to Identify Optimal Candidates for Primary Tumor Resection in Patients with Metastatic Non-small Cell Neuroendocrine Tumors

> **NCT06621147** · — · COMPLETED · sponsor: **Hongquan Xing** · enrollment: 1776 (actual)

## Conditions studied

- Lung Cancer - Non Small Cell

## Interventions

- **PROCEDURE:** Surgery

## Key facts

- **NCT ID:** NCT06621147
- **Lead sponsor:** Hongquan Xing
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2000-01-01
- **Primary completion:** 2021-12-31
- **Final completion:** 2024-05-31
- **Target enrollment:** 1776 (ACTUAL)
- **Last updated:** 2024-10-01

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06621147

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06621147, "Application of Machine Learning Algorithms to Identify Optimal Candidates for Primary Tumor Resection in Patients with Metastatic Non-small Cell Neuroendocrine Tumors". Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/clinical/NCT06621147. Licensed CC0.

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