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

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.

NCT Number	NCT07005791
Lead Sponsor	The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School Collaborators: Nanjing University, Nanjing Jiangning Hospital
Conditions	Lung Cancer (NSCLC), Leptomeningeal Metastasis, Intracranial Pressure
Enrollment	142 participants
Start Date	2025-07-01
Primary Completion	2027-12-30 (estimated)
Study Completion	2027-12-30 (estimated)
Updated on ClinicalTrials.gov	2025-06-05