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Development and validation of a machine-learning model integrating structural transcranial ultrasound imaging for early prediction of schizophrenia

Development and validation of a machine-learning model integrating structural transcranial ultrasound imaging for early prediction of schizophrenia

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600129789
Enrollment
Unknown
Registered
2026-08-10
Start date
2026-09-01
Completion date
Unknown
Last updated
2026-08-24

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

Conditions

Schizophrenia

Interventions

Schizophrenia group :None

Sponsors

The Second People's Hospital of Taizhou
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1. Schizophrenia Patient Group: (1) Meet the ICD-10 diagnostic criteria for schizophrenia; (2) Aged 18-65; (3) No other serious physical illnesses or mental disorders; (4) Family members are able to understand and sign the informed consent. 2. Healthy Control Group: (1) No history of mental illness, and no family history of mental illness; (2) No other serious physical illnesses or mental disorders; (3) Basic demographic characteristics matched with the SZ group; (4) Personally or family members are able to understand and sign the informed consent.

Exclusion criteria

Exclusion criteria: 1.People with serious physical or neurological diseases; 2.Those with a history of drug or alcohol abuse; 3.People who can't cooperate with clinical assessments or TCS exams, or who have poor TCS acoustic windows; 4.People in the acute phase or with other mental illnesses (like major depression).

Design outcomes

Secondary

MeasureTime frame
Substantia nigra hyperechogenic area (mm2);Raphe nuclei echogenicity (RN);Third ventricle diameter/width (DTV, mm);

Countries

China

Contacts

Public ContactXiaochen Zhang

The Second People's Hospital of Taizhou

15967690053@163.com+86 576 8397 9920

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Sep 19, 2026