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Can a computer predict your posture after back surgery?

NCT ID NCT04422288

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 tested whether a computer model can accurately predict a patient's posture after spinal fusion surgery. Researchers used data from 200 adults who had thoracolumbar spinal fusion and compared the model's predictions to their actual posture at follow-up. The goal is to help surgeons plan operations that lead to better balance and comfort.

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 model could help surgeons plan spinal fusion surgeries more accurately, potentially reducing complications like poor posture or imbalance.
What could go wrong
This is a validation study, not a treatment trial. The model may not accurately predict posture for all patients, and it does not test any new surgical technique or device.

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

200 people

The number who actually took part.

Started

May 2020

Finished

Oct 2022

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

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

Who is studied

At least 186 patients will be enrolled in this multicenter combined observational / in silico study, recruited into 3 groups (at least 62 cases each) according to the number of levels instrumented: 1. local fusion, 1-2 segments; 2. short fusion, 3-4 segments; 3. long fusion, 5+ segments.

Ages

18 years and older

Sex

Anyone

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: 1. Male or female patients 2. Any ethnicity 3. At least 18 years of age 4. Has undergone a thoracolumbar spinal fusion procedure Exclusion Criteria: 1. Patient has had a prior spinal surgery in the thoracic and/or lumbar spine; 2. Patient presents scoliosis greater or equal to 20° T4-T12 Cobb angle; 3. Patient has been diagnosed with idiopathic adolescent scoliosis (treated or untreated); 4. Patient has other implants that obstruct the spine and/or pelvis in the lateral view; 5. Patient presents any of the following complications: pseudoarthrosis, instrumentation failure, instrumentation pull-out and/or requires a revision surgery at any time following the primary surgery and prior to 3 months post-op; 6. Patient is a prisoner.

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As listed by the trial registrant

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

Contacts and locations

Locations

  • Univerisity of Pittsburgh Medical Center

    Pittsburgh, Pennsylvania, 15213, United States

  • University of Colorado

    Aurora, Colorado, 80045, United States

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