NCT07005791

AI-Based Ultrasound Prediction Model for Intracranial Pressure and Prognosis in Lung Cancer Patients With Leptomeningeal Metastasis: A Dual-Center Study

基于人工智能的视神经鞘超声视频构建肺癌软脑膜转移患者颅内压预测模型及多模态临床预后模型的双中心临床研究

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 142 (estimated)
• Sponsor: The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Not accepted

Summary

This study focuses on developing an innovative, artificial intelligence-based model using optic nerve sheath ultrasound videos to predict intracranial pressure in lung cancer patients with leptomeningeal metastasis. The study also aims to create a multimodal clinical prognosis model that can help improve patient outcomes. By analyzing ultrasound data from patients at two major medical centres, the research seeks to provide more accurate and early predictions of complications related to elevated intracranial pressure, ultimately improving treatment and management strategies for these patients.

Conditions

• Lung Cancer (NSCLC)
• Leptomeningeal Metastasis
• Intracranial Pressure

Timeline

• Start date: 2025-07-01
• Primary completion: 2027-12-30
• Completion: 2027-12-30
• First posted: 2025-06-05
• Last updated: 2025-06-05

Locations

2 sites across 1 country: China