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Construction and evaluation of diagnostic model for acute ischemic stroke with Large Vessel Occlusions based on Machine Learning and cranial CT image

Construction and evaluation of diagnostic model for acute ischemic stroke with Large Vessel Occlusions based on Machine Learning and cranial CT image

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300078348
Enrollment
Unknown
Registered
2023-12-06
Start date
2024-01-01
Completion date
Unknown
Last updated
2023-12-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

acute ischemic stroke

Interventions

Gold Standard:Acute onset with neurological deficits and signs, and classified into LVO (Large Vessel Occlusion) ischemic stroke case group and non-LVO ischemic stroke control group based on pre-treat
Index test:Symptoms, signs, CT scan results, head-neck vascular examination results.

Sponsors

Aerospace Center Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria: Suspected stroke and acute stroke patients (including hemorrhagic and ischemic stroke) within 24 hours of onset; aged 18 to 80 years; further confirmation of vascular conditions can be obtained through head MRA, head-neck CTA, or DSA examination.

Exclusion criteria

Exclusion criteria: Exclusion criteria: Patients who are unable to obtain subsequent head-neck vascular examination results due to referral or other reasons.

Design outcomes

Primary

MeasureTime frame
sensitivity;specificity;Accuracy ;Positive predicative value;—

Secondary

MeasureTime frame
Negative predictive value;—

Countries

China

Contacts

Public ContactZHANG Lvming

Aerospace Center Hospital

jolyming@126.com+86 152 1084 7756

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026