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AI may help pick best brain surgery for babies with water on the brain

NCT ID NCT07330206

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looked at 800 children with congenital hydrocephalus (fluid buildup in the brain) to see which surgery works best: a shunt (a tube that drains fluid) or an endoscopic third ventriculostomy (ETV, a procedure that creates a new drainage pathway). Researchers used MRI scans and a machine-learning model to predict which children would do well with ETV. They also tested whether frequent adjustments to shunt valves improve outcomes. The goal is to create a personalized treatment plan that reduces repeat surgeries and helps children develop better.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could lead to a personalized treatment algorithm that helps doctors choose the best surgery for each child, potentially reducing repeat operations and improving brain development.
What could go wrong
This is an observational study, not a controlled trial, so it can show patterns but not prove what works best. The machine-learning model may not be accurate enough for all children.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

800 people

The number who actually took part.

Started

Jan 2016

Finished

Jan 2024

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

800 children ≤17 years with congenital hydrocephalus recruited from 6 tertiary pediatric neurosurgical centers; 1:1 matched VPS (n=400) vs ETV (n=400) cohorts balanced for age, sex, and hydrocephalus subtype.

Ages

Up to 17 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria * Age 0-17.99 years at surgery * Congenital hydrocephalus confirmed by clinical and MRI/CT findings * First surgical treatment: either VPS or ETV * Complete pre-operative MRI/CT and ≥ 2-year follow-up data available Exclusion Criteria * Secondary hydrocephalus (tumor, infection, trauma) * Severe comorbidities affecting neuro-developmental assessment (e.g., major congenital heart disease, genetic-metabolic disorders) * Incomplete baseline imaging or follow-up \< 2 years

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • West China Hospital of Sichuan University

    Chengdu, Sichuan, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.