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

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-75
SponsorThe Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

About this trial

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.

Eligibility criteria

Qualifiers

None

Disqualifiers

1、Histological Type: Patients with squamous cell carcinoma or small cell lung cancer are excluded.

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

No trial groups listed

Sponsors and collaborators

The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

Lead sponsor

Nanjing University

Collaborator

Nanjing Jiangning Hospital

Collaborator