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Precision Surgery for Pediatric Hydrocephalus: VPS vs. ETV With ML-Guided Prediction

West China Hospital · 2016
ClinicalTrials.gov · Datasets · License: Public Domain · 2016
Open Source ↗
machine-learning
Study type: Multicenter retrospective cohort study with prospective validation Primary purpose: To determine whether an individualized, imaging-guided treatment algorithm Ventriculoperitoneal shunt (VPS) vs endoscopic third ventriculostomy (ETV) improves 2-year neurodevelopmental outcomes in children \<18 y with congenital hydrocephalus. Main questions * Does ETV produce higher 6-month surgical success and lower 2-year re-intervention rates than VPS in prespecified subgroups (age ≥3 y, obstructive hydrocephalus, normal basal cisterns)? * Does a machine-learning model (ETV-PS) using pre-operative MRI features accurately predict ETV success (AUC ≥0.80) and thereby reduce unnecessary re-operations? * Does early, frequent programmable-valve pressure adjustment after VPS decrease over-shunting headaches and improve 2-year cognitive scores compared with standard, infrequent adjustment? Comparison: ETV group vs. VPS group (1:1 propensity-matched); within VPS cohort, frequent (≥3 adjustments in first 6 mo) vs. infrequent (\<3) pressure-tuning arms. Participants will * Provide pre-operative clinical data and MRI/CT imaging. * Undergo either VPS or ETV as clinically indicated; 320 VPS recipients receive programmable valves with protocol-driven pressure logs. * Return for standardized neurodevelopmental testing Children's Memory Scale (CMS), Wechsler Intelligence Scale for Children(WISC), Pediatric Quality of Life Inventory(PedsQL) and imaging at 6 mo, 1 y and 2 y; valve adjustments tracked electronically.
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