Brain Ultrasound and Computer Model to Help Identify Schizophrenia
Studies whether brain ultrasound and a computer model can help identify schizophrenia in adults.
Plain-language title generated from the registry record
Registry title: Transcranial Sonography and Machine Learning for Schizophrenia Identification
Key facts
- Where
- Taizhou, ChinaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 65 years old?
Source: NCT07604129, who can take part
Where in China
- Taizhou Second People's HospitalTaizhou, ChinaNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Taizhou Second People's Hospital
- Trial code
- NCT07604129
- Record updated
- 22 May 2026
- Original description
Schizophrenia is a serious mental illness. Doctors usually diagnose schizophrenia by talking with patients, reviewing symptoms, and using clinical assessment. In early or less typical cases, diagnosis may be difficult.Read full original descriptionShow less
Development and Validation of an Early Prediction Model for Schizophrenia Integrating Transcranial Sonography Structural Imaging and Machine Learning
Schizophrenia is a serious mental illness. Doctors usually diagnose schizophrenia by talking with patients, reviewing symptoms, and using clinical assessment. In early or less typical cases, diagnosis may be difficult.
This study will look at whether brain ultrasound information can help doctors identify features related to schizophrenia. The ultrasound scan used in this study is called transcranial sonography. It is a non-invasive scan that uses sound waves to look at brain structures through natural thin areas of the skull.
The study will include adults with schizophrenia and adults without a personal or family history of mental disorders. All participants will have a transcranial sonography scan and provide basic clinical information. The researchers will measure brain ultrasound features, including the substantia nigra, raphe nuclei, and third ventricle, and will combine these features with clinical information.
The main question is whether a computer model using ultrasound and clinical information can help distinguish adults with schizophrenia from adults without schizophrenia. The model is intended only as a research tool and possible future aid for doctors. It will not replace diagnosis by a psychiatrist and will not change the participant's usual medical care.
Inclusion: Schizophrenia group:; Adults aged 18 to 65 years; Diagnosis of schizophrenia according to ICD-10 criteria by a psychiatrist; Able to complete clinical assessment and transcranial sonography examination; No other severe physical disease, neurological disease, or major psychiatric disorder; Written informed consent provided by the participant or legally authorized representative; Healthy control group:; Adults aged 18 to 65 years; No personal history of psychiatric disorders; No family history of psychiatric disorders; No severe physical disease, neurological disease, or major psychiatric disorder; Basic demographic characteristics matched as far as possible to the schizophrenia group; Able to complete clinical assessment and transcranial sonography examination; Written informed consent provided by the participant or legally authorized representative.
Exclusion: Severe physical disease or neurological disease; History of drug or alcohol abuse; Comorbid major psychiatric disorder, such as major depressive disorder; Inability to complete clinical assessment or transcranial sonography examination; Inadequate temporal acoustic window or poor image quality preventing valid transcranial sonography measurements; Acute or clinically unstable state that prevents completion of study procedures; Refusal or withdrawal of informed consent.