About this trial
The goal of this study is to determin the MRI features associated with cerebral palsy and to develop prediction models of pediatric disorders by combining MRI with artificial intelligence.
The main questions it aims to answer are:
* How to achieve features on conventional MRI associated with cerebral palsy? * How to predict the risk of cerebral palsy in infants aged 6 to 2 years based on conventional MRI and deep learning? Researchers will compare characteristics of periventricular white matter injury with cerebral palsy to those without cerebral palsy.
Participants will be asked to provide MRI data, clinical diagnoses information, and follow-up outcomes.
Eligibility criteria
Qualifiers
Infants and children at high risk of periventricular white matter injury (PVWMI) (gestational age <35 weeks, birth weight <2.6 kg, forceps-assisted delivery/fetal head attraction, Apgar score <7, hypoglycaemia, sepsis, electrolyte disturbances, premature rupture of membranes);
Those who underwent MRI at 6 months of age-2 years, including at least T1WI and T2WI sequences;
Upon follow-up, the patient's clinical diagnosis: cerebral palsy, other diagnoses that did not develop into cerebral palsy, or inability to confirm the diagnosis).
Disqualifiers
Incomplete MRI images or unreadable images due to motion artefacts;
Incomplete neurobehavioural assessment data (including: gross motor function).
Trial design
Treatments tested in this trial
- No intervention will be performed in this cohort study
Treatment groups
Sponsors and collaborators
First Affiliated Hospital Xi'an Jiaotong University
Lead sponsor
The First Affiliated Hospital of Henan University of Traditional Chinese Medicine
Collaborator
Shenzhen Children's Hospital
Collaborator
Zunyi Medical College
Collaborator
Wuxi Women's & Children's Hospital
Collaborator
Shanxi Provincial Maternity and Children's Hospital
Collaborator
Chengdu Medical College
Collaborator
First Affiliated Hospital of Xinjiang Medical University
Collaborator
Baoji Central Hospital
Collaborator
Xian Children's Hospital
Collaborator
Guangzhou Women and Children's Medical Center
Collaborator
Third Affiliated Hospital of Zhengzhou University
Collaborator
Henan Provincial People's Hospital
Collaborator