Spine Surgery Video Observation Study. The Creation of a Benchmark Video (RGB-Depth) Dataset to Investigate the Feasibility of Developing a Markerless Tracking System for Spine Surgery.

NCT06580379 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 25

Last updated 2024-08-30

No results posted yet for this study

Summary

The primary study objective is to build a video dataset, consisting of both colour and depth information, of spine surgery that includes both 'open' and 'minimally invasive' (MIS) surgeries. Using accompanying preoperative CT scans of the patient's spine, we aim to develop a markerless tracking system for spine surgery, which the collected dataset will be used to both train, and then benchmark against.

Conditions

  • Spine Fusion
  • Spine Injury
  • Spine Degeneration
  • Navigation, Spatial

Interventions

PROCEDURE

Spine surgery

Spine surgery, such as fusion requiring the need for precise intraoperative registration and navigation

Sponsors & Collaborators

  • Imperial College Healthcare NHS Trust

    collaborator OTHER
  • Imperial College London

    lead OTHER

Principal Investigators

  • Salvatore Russo, MD · Imperial College Healthcare Trust

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-10-31
Primary Completion
2027-10-31
Completion
2027-10-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06580379 on ClinicalTrials.gov