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Spinal fluid volume on MRI may predict anesthesia effects

NCT ID NCT07333703

Knowledge-focused Sponsor: Samsun University Source: ClinicalTrials.gov ↗

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study used MRI scans to measure the volume of spinal fluid in 40 adults before they received spinal anesthesia for surgery. Researchers wanted to see if the amount of fluid affected how high and how long the anesthesia worked. The goal is to help doctors tailor anesthesia doses to each patient, potentially improving safety and effectiveness.

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 help doctors predict how spinal anesthesia will spread based on a patient's MRI, leading to more personalized and safer dosing.
What could go wrong
This is a small, observational study with only 40 participants. It does not test a new treatment, so any benefits are indirect and require further research.

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

40 people

The number who actually took part.

Started

Feb 2023

Finished

Nov 2025

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

Patients aged between 18 and 75 years, classified as ASA physical status I-III, who had undergone 1.5 Tesla lumbosacral MRI within the last six months.

Ages

18 to 75 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: * Aged 18-75 years * ASA physical status I-III * Who had undergone 1.5 Tesla lumbosacral MRI within the last six months Exclusion Criteria: * The presence of neurological diseases and allergy to local anesthetics * Refusal to undergo spinal anesthesia * Contraindications for spinal anesthesia * Local infection at the lumbar site

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Conditions

The condition(s) this trial relates to.

lumbar spinal stenosis

As listed by the trial registrant

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

Anaesthesia Lumbosacral spinal stenosis Magnetic resonance imaging (MRI) Spinal anaesthesia

Contacts and locations

Locations

  • Samsun University

    Samsun, Turkey (Türkiye)

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