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NCT07036653
Bone Enhanced Ultrasound (BEUS) Data Library Development Project
trial testing spinal ultrasound in Lower Back Pain in 100 participants. Not yet recruiting.
31 December 2025
Quick facts
| Lead sponsor | Queen's University |
|---|---|
| Status | Not yet recruiting |
| Study type | OBSERVATIONAL |
| Enrollment | 100 |
| Start date | 1 September 2025 |
| Primary completion | 31 December 2025 |
| Estimated completion | 31 December 2025 |
Drugs / interventions tested
- spinal ultrasound
Conditions studied
- Lower Back Pain — all drugs for Lower Back Pain →
- Facet Joint Pain; Low Back Pain — all drugs for Facet Joint Pain; Low Back Pain →
- Osteoarthritis (OA) — all drugs for Osteoarthritis (OA) →
Sponsor
Queen's University
Who can join
18 and older, any sex, with Lower Back Pain or Facet Joint Pain; Low Back Pain. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
A common treatment for low back pain involves fluoroscopy-guided spinal facet joint injections and/or medial branch nerve blocks. Unfortunately, fluoroscopy requires expensive equipment and personnel and exposes patients and healthcare providers to ionizing radiation. Ultrasound offers a safer, lower-cost alternative, but the traditional 2-dimensional (2D) ultrasound systems are limited due to poor image quality, particularly in patients with higher body mass index (BMI). As an alternative, a novel Bone Enhanced Ultrasound (BEUS) technology uses artificial intelligence (AI) to create real-time 3-dimensional (3D) images of the spine to guide needle placement for these injections. The AI software is trained by overlaying computed tomography (CT) and ultrasound images from a patient dataset to recognize anatomical landmarks. BEUS aims to ultimately replace fluoroscopy for spinal injections, reducing radiation exposure, lowering healthcare costs, and improving accessibility, especially in rural settings where CT and fluoroscopy are unavailable. A key limitation, however, is that the current AI system is trained based primarily on patients (mostly pediatric) undergoing perioperative assessment of scoliosis. To address this, the current study aims to develop a new, more clinically relevant training AI dataset by collecting spinal ultrasounds from up to 100 adult participants (most/all of whom are followed at the local chronic pain clinic for low back pain) with existing spinal CT or magnetic resonance imaging (MRI) scans. This dataset will be used to retrain the current AI model to enhance the accuracy of 3D spinal reconstructions, thereby improving the clinical relevance of the BEUS system.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT07036653
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Related trials
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- NCT03707288 — Neck and Low Back Pain in Medical Students at The University of the West Indies, Mona, Jamaica · NA · recruiting
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07036653 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Queen's University
- Last refreshed: 29 July 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07036653.
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