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NCT05904418
Robot-Assisted US-Based Vertebral Segmentation for Pedicle Screw Trajectory Identification
NA trial testing Robot-assisted US Scan of the vertebra L1 to S1 in Healthy in 63 participants. Completed in 9 June 2023.
9 June 2023
Quick facts
| Lead sponsor | Philipp Fürnstahl |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | na |
| Design | single group |
| Masking | none |
| Primary purpose | other |
| Enrollment | 63 |
| Start date | 15 May 2023 |
| Primary completion | 9 June 2023 |
| Estimated completion | 9 June 2023 |
| Sites | 1 location across Switzerland |
Drugs / interventions tested
- Robot-assisted US Scan of the vertebra L1 to S1
- Handheld US scan of the vertebra L1 to S1
- ULD CT scan of the vertebra L1 to S1
Conditions studied
- Healthy — all drugs for Healthy →
Sponsor
Philipp Fürnstahl
Who can join
Adults 18 to 35, any sex, with Healthy. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This other clinical trial compares robot-assisted US scanning with handheld US scanning and ground-truth CT data of the lumbar spine in healthy, young volunteers. The main questions it aims to answer are: * Is a 3D reconstruction of a lumbar spine from robot-assisted US scanning equivalent to or better quality than a 3D reconstruction from handheld US scanning? * Can a machine learning algorithm automatically segment the bone anatomy from robot-assisted and handheld US scanning to generate 3D lumbar spine reconstructions? * Can pedicle screw trajectories be identified based on posterior vertebral landmarks of 3D reconstructions of lumbar spines from both robot-assisted and handheld US scanning? Participants will: * fill out a medical history questionnaire * get clinically examined * have an ultra-low-dose (ULD) CT Scan of the vertebra L1 to S1 * have a handheld US scan of the vertebra L1 to S1 * have a robot-assisted US Scan of the vertebra L1 to S1 * fill out a post-study questionnaire
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
A large, paired dataset of robotic and handheld lumbar spine ultrasound with ground-truth CT benchmarking.
Cavalcanti NA, Li R, Arango L, Davoodi A, et al · · 2025 · cited 1× · PMID 41213998 · DOI 10.1038/s41597-025-06047-9
Verify or expand the search:
- PubMed search for NCT05904418
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Other Philipp Fürnstahl trials
Trials by the same sponsor.
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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 NCT05904418 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Philipp Fürnstahl
- Last refreshed: 22 June 2023
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/NCT05904418.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing