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machine learning based investigation of radiomic-histologic correlations of intracranial thrombus retrieved by mechanical thrombectomy

machine learning based investigation of radiomic-histologic correlations of intracranial thrombus retrieved by mechanical thrombectomy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300075370
Enrollment
Unknown
Registered
2023-09-02
Start date
2023-09-02
Completion date
Unknown
Last updated
2023-09-04

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

Conditions

stroke

Interventions

Observation group:None

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
10 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1.Acute occlusion of extracranial and Intracranial arteries, including anterior and posterior circulation 2.Recieved cranial non-contrast CT and CTA before mechanical thrombectomy 3.thrombus was retrieved during mechanical thrombectomy, well saved, available for histologic staining

Exclusion criteria

Exclusion criteria: 1.quality of CT/CTA images was low 2.location of thrombus was not able to be figure out 3.obvious vessel calcification

Design outcomes

Primary

MeasureTime frame
First pass effect;Degree of vascular recanalization;Secondary embolism;—

Countries

China

Contacts

Public ContactLujun

Beijing Hospital

lujun3655@bjhmoh.cn+86 10 8513 6283

Outcome results

None listed

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