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NCT Number: NCT07005791

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.

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Key information

Age range

18 year–75 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Jiangning Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China

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Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

1- Age: Participants must be aged 18 years or older. 2、Diagnosis: Patients must have a histologically confirmed diagnosis of non-small cell lung cancer (NSCLC) with clinically or pathologically confirmed leptomeningeal metastases (LM), and at least one measurable lesion.

3、Lumbar Puncture and Intrathecal Chemotherapy: Patients must have undergone lumbar puncture and intrathecal chemotherapy in the study center.

4、ECOG Performance Status: Patients must have an Eastern Cooperative Oncology Group (ECOG) performance status of ≤ 3.

5、Blood Tests: Neutrophil count ≥ 1.5 × 10⁹/L. Hemoglobin ≥ 9 g/dL. Platelet count ≥ 100 × 10⁹/L. 6、Biochemical Tests: Total bilirubin ≤ 1.5 times the upper limit of normal (ULN). AST (aspartate aminotransferase) and ALT (alanine aminotransferase) < 1.5 times ULN.

Creatinine clearance ≥ 60 ml/min. 7、No Significant Bleeding or Thrombosis: Patients must not have significant bleeding symptoms, bleeding disorders, or active thrombosis.

8、Reproductive Health: Women of childbearing age must use appropriate contraception and have a negative pregnancy test prior to enrollment.

9、Informed Consent: All patients must have signed the informed consent form and be willing to comply with the study procedures and follow-up schedule.

Exclusion criteria

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

2、Recent Radiotherapy: Patients who have received local radiotherapy for intracranial lesions within the past two weeks are excluded.

3、ECOG Performance Status: Patients with an ECOG performance score greater than 3 are excluded.

4、Uncontrolled Seizures: Patients with uncontrolled seizures are excluded. 5、Other Tumor History: Patients with a current or past history of other tumors are excluded.

6、Bleeding or Thrombotic Disorders: Patients with known hereditary or acquired bleeding or thrombotic tendencies (e.g., hemophilia, coagulation disorders, thrombocytopenia) or with abnormal coagulation function (INR > 2.0, PT > 16s) are excluded. Those on thrombolytic or anticoagulant therapy are also excluded, except for patients on preventive doses of low-dose aspirin or low-molecular-weight heparin.

7、Recent Trauma or Surgery: Patients with a history of severe trauma or surgery within the last month, or significant bleeding events within the past three months, are excluded.

8、Severe Organ Dysfunction: Patients with severe hepatic or renal dysfunction, HIV infection, HCV infection, asthma, or uncontrolled cerebrovascular disease are excluded.

9、Pregnancy and Breastfeeding: Pregnant or breastfeeding women are excluded. Women of childbearing age must test negative for pregnancy within seven days prior to enrollment.

10、Thrombotic Events: Patients with arterial or venous thrombotic events (e.g., stroke, transient ischemic attack, brain hemorrhage, deep vein thrombosis, or pulmonary embolism) within the past six months are excluded.

11、Safety Concerns: Any other conditions or factors that the investigator deems unsuitable for inclusion, including issues that might compromise the patient's safety or compliance, will result in exclusion.

Treatment and study plan

Primary outcomes

  1. Accuracy of the Intracranial Pressure (ICP) Prediction Model and Efficacy of the Prognostic Model

    Time frame: Half an hour before the lumbar puncture

    Accuracy of the Intracranial Pressure (ICP) Prediction Model: This involves constructing a prediction model for ICP based on optic nerve sheath diameter (ONSD) and other ultrasound measurements (e.g., optic disk height, ODH). The model's accuracy will be evaluated by comparing the predicted ICP values with those obtained through lumbar puncture, using metrics such as the area under the ROC curve (AUC), sensitivity, and specificity.

    Efficacy of the Prognostic Model: This model will predict clinical outcomes such as progression-free survival (PFS) and overall survival (OS) based on multimodal data, including clinical and imaging data. The predictive performance will be assessed using the C-index and other statistical measures to determine its effectiveness in forecasting patient outcomes.

Study contacts

Contact information is provided by the study sponsor or research team.

Sponsors and collaborators

Lead sponsor

The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

Other

Collaborators

  • Nanjing Jiangning Hospital
  • Nanjing University

Registry information

Official study title

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

Important dates

Study start
2025
Primary completion
2027
Study completion
2027
First posted
Jun 5, 2025
Registry last updated
Jun 5, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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