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

NCT07005791 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 142

Last updated 2025-06-05

No results posted yet for this study

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

Sponsors & Collaborators

  • Nanjing University

    collaborator OTHER

  • Nanjing Jiangning Hospital

    collaborator UNKNOWN

  • The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-07-01
Primary Completion
2027-12-30
Completion
2027-12-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07005791 on ClinicalTrials.gov