Clinical Research Directory

Transcranial Sonography and Machine Learning for Schizophrenia Identification

Sponsor: Taizhou Second People's Hospital

Summary

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.

Official title: Development and Validation of an Early Prediction Model for Schizophrenia Integrating Transcranial Sonography Structural Imaging and Machine Learning

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