Clinical trial NCT05424614: Study on the Prognostic Prediction Model of Patients With Acute Intracerebral Hemorrhage by Artificial Intelligence
Official title: Capital's Funds for Health Improvement and Research
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Cerebral Hemorrhage
Prognosis
Artificial Intelligence
Lead sponsor: Beijing Neurosurgical Institute
Sponsor class: OTHER
First posted: 2022-06-21
Enrollment: 150
Sex: ALL
Minimum age (years): 18
Maximum age (years): 80
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
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.

Brief summary: 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.


Eligibility criteria: 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.

Primary outcomes:
measure: patient outcome
timeFrame: 3 month
Secondary outcomes:
Other outcomes:
Locations:
city: Beijing
country: China
facility: Beijing Tiantan Hospital, Capital Medical University
state: Beijing
Study officials:
affiliation: Beijing Neurosurgical Instuitute
name: Shengjun Sun
role: PRINCIPAL_INVESTIGATOR
References:
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