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Prediction of Hematoma Expansion Probability and Prognosis in Spontaneous Intracerebral Hemorrhage Based on Radiomic Features and Deep Learning/Transfer Learning Models from Intracerebral Hemorrhage and Perihematomal CT Images

Prediction of Hematoma Expansion Probability and Prognosis in Spontaneous Intracerebral Hemorrhage Based on Radiomic Features and Deep Learning/Transfer Learning Models from Intracerebral Hemorrhage and Perihematomal CT Images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400081868
Enrollment
Unknown
Registered
2024-03-14
Start date
2024-03-15
Completion date
Unknown
Last updated
2024-03-18

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

Conditions

Intracerebral Hemorrhage

Interventions

Patients with spontaneous intracerebral hemorrhage:None

Sponsors

The Central Hospital of Wuhan,Tongji Medical College, Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: Patients with spontaneous intracerebral hemorrhage: patients diagnosed with spontaneous intracerebral hemorrhage according to relevant diagnostic criteria (such as CT or MRI confirmation) . Hematoma image data integrity: with hematoma and hematoma around the CT image data, and have complete clinical information.

Exclusion criteria

Exclusion criteria: Exclusion of other pathological factors caused by cerebral hemorrhage, such as vascular malformation, intracranial tumors. Other factors intervention: to exclude the influence of hematoma expansion rate and prognosis intervention factors, such as anticoagulation therapy. Missing or incomplete data: patients with incomplete hematoma imaging data or incomplete clinical information were excluded.

Design outcomes

Primary

MeasureTime frame
Hematoma enlargement;

Secondary

MeasureTime frame
prognostic score;

Countries

China

Contacts

Public ContactLun Cai

The Central Hospital of Wuhan,Tongji Medical College, Huazhong University of Science and Technology;

2339275310@qq.com+86 159 2632 9127

Outcome results

None listed

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