Study on the Prognostic Prediction Model of Patients With Acute Intracerebral Hemorrhage by Artificial Intelligence

June 15, 2022 updated by: Beijing Neurosurgical Institute

Capital's Funds for Health Improvement and Research

Spontaneous intracerebral hemorrhage(SICH) is the most lethal and disabling stroke. Timely and accurate assessment of patient prognosis could facilitate clinical decision making and stratified management of patients and is important for improving patient clinical prognosis. However, current studies on the prediction of prognosis of patients with SICH are limited and only include a single variable, with less precise results and inconvenient clinical application, which may lead to delays in effective patient treatment. Our group's previous studies on SICH showed that hematoma heterogeneity and the degree of contrast extravasation within the hematoma are closely related to the clinical outcome of patients, but they are difficult to describe quantitatively based on imaging signs. Based on this, we propose to use radiomics to quantitatively extract hematoma features from NCCT and CTA images, combine them with patients' clinical information and laboratory tests, study their relationship with the prognosis of cerebral hemorrhage, and use artificial intelligence to establish a rapid and accurate prognostic prediction model for patients with SICH, which is of great significance to guide clinical individualized treatment.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

150

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • China
    • Beijing
      • Beijing, Beijing, China, 100070
        • Recruiting
        • Beijing Tiantan Hospital, Capital Medical University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

14 years to 76 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with acute cerebral hemorrhage (within 6 hours of the onset of symptoms) who presented to the hospital between May 2022 and September 2024 and had complete medical records.

Description

Inclusion Criteria:

  • 1. aged 18-80 years; 2. patients diagnosed with acute cerebral hemorrhage by CT examination; 3. complete non-contrast CT and CTA images; 4. the time interval from onset to the first baseline CT and CTA examination is less than 6 hours; 5. follow-up data within 3 months; 6. agree and sign a written document.

Exclusion Criteria:

  • 1. Patients with secondary aneurysm hemorrhage; 2. Patients with secondary hemorrhage of cerebrovascular malformation; 3. Patients with dissecting aneurysm hemorrhage; 4. Patients with cerebral infarction hemorrhage transformation; 5. Patients lost to follow-up within 3 months; 6. CT or CTA images have a heavy artefact.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
intracerebral hemorrhage group
Patients with the intracerebral hemorrhage who presented to the hospital within 24 hours of symptom onset
Other: Functional outcome follow-up of patients
Patients were followed up by telephone after discharge, every 4 weeks, until the end of the 3-month follow-up. Their functional status was determined based on the MRS score (modified Rankin Scale). Those with less than 3 points were defined as having a good prognosis, and those with more than 3 points were defined as having a poor prognosis

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
patient outcome
Time Frame: 3 month
Neurological recovery status was measured by the modified Rankin Scale
3 month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Beijing Neurosurgical Institute

Investigators

  • Principal Investigator: Shengjun Sun, Beijing Neurosurgical Instuitute

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 13, 2022

Primary Completion (Anticipated)

September 30, 2024

Study Completion (Anticipated)

December 30, 2024

Study Registration Dates

First Submitted

June 15, 2022

First Submitted That Met QC Criteria

June 15, 2022

First Posted (Actual)

June 21, 2022

Study Record Updates

Last Update Posted (Actual)

June 21, 2022

Last Update Submitted That Met QC Criteria

June 15, 2022

Last Verified

May 1, 2022

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2022-2-1074

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

IPD Plan Description

To obtain individual participant data, please contact the principal investigator.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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