Evidence map›Paper›PMID 41998435›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Ultrasound-guided real-time spinal motion visualization for spinal instability assessment.

Feng Li, Yuan Bi, Tianyu Song, Zhongliang Jiang, Nassir Navab

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Feng LiChair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany. feng.li@tum.de.ORCID https://orcid.org/0000-0003-2717-8274
Yuan BiChair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany.
Tianyu SongChair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany.
Zhongliang JiangUniversity of Hong Kong, Hong Kong, China.
Nassir NavabChair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany.

Funding

Bayerische Forschungsstiftung AZ-1592-23-ForNeRo
6 · The paper itself

Abstract

purposeSpinal instability is a widespread condition that causes pain, fatigue, and restricted mobility, profoundly affecting patients' quality of life. In clinical practice, the gold standard for diagnosis is dynamic X-ray imaging. However, X-ray provides only 2D motion information, while 3D modalities such as computed tomography (CT) or cone beam computed tomography (CBCT) cannot efficiently capture motion. Therefore, there is a need for a system capable of visualizing real-time 3D spinal motion while minimizing radiation exposure.

methodsWe propose ultrasound as an auxiliary modality for 3D spine visualization. Due to acoustic limitations, ultrasound captures only the superficial spinal surface. Therefore, the partially compounded ultrasound volume is registered to preoperative 3D imaging. In this study, CBCT provides the neutral spine configuration, while robotic ultrasound acquisition is performed at maximal spinal bending. A kinematic model is applied to the CBCT-derived spine model for coarse registration, followed by ICP for fine registration, with kinematic parameters optimized based on the registration results. Real-time ultrasound motion tracking is then used to estimate continuous 3D spinal motion by interpolating between the neutral and maximally bent states.

resultsThe pipeline was evaluated on a bendable 3D-printed lumbar spine phantom. The registration error was

conclusionThe proposed robotic ultrasound framework enables radiation-reduced, real-time 3D visualization of spinal motion, offering a promising 3D alternative to conventional dynamic X-ray imaging for assessing spinal instability.

Indexed as

Imaging, Three-DimensionalJoint InstabilitySpineCone-Beam Computed TomographyHumansMotion CaptureUltrasonographyCBCTRobotic ultrasoundSpinal instability

Identifiers

PMID41998435
PMCPMC13354676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.