Evidence map›Paper›PMID 39929969›Full record

ArticleScientific reports2025

Standalone ultrasound-based highly visualized volumetric spine imaging for surgical navigation.

Xinben Hu, Tianjian Liu, Zhengyuan Zhang, Xuan Xiao, Lin Chen, Gao Wei, Yunjiang Wang, Keji Yang, Haoran Jin, Yongjian Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

10 authors.

Xinben Hu *Department of Radiation Oncology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China. hxbfes@zju.edu.cn.
Tianjian Liu *Department of Neurosurgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Zhengyuan ZhangSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
Xuan XiaoDepartment of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Lin ChenDepartment of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Gao WeiDepartment of Neurosurgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yunjiang WangDepartment of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Keji YangDepartment of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Haoran JinDepartment of Mechanical Engineering, Zhejiang University, Hangzhou, China. jinhr@zju.edu.cn.
Yongjian ZhuDepartment of Neurosurgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China. neurosurgery@zju.edu.cn.

Funding

The grants from the Provincial Key R&D Program, Science and Technology Department of Zhejiang Province Grant. 2024C03071the National Natural Science Foundation of China Grant. 52275549the National Natural Science Foundation of China Grant. 82201631
6 · The paper itself

Abstract

Current navigation systems employing intraoperative CT have been applied in spinal interventions for accurate and visualized guidance. The consequential issue of radiation doses and surgical workflow disruption spotlighted ultrasound (US) as an alternative imaging modality. However, the challenge of anatomy interpretation left US-based navigation inadequate in visualization, resulting in the necessity of registration of preoperative images. Here we report a standalone ultrasound image-guided system (SUIGS) leveraging a purpose-made network to automatically extract bone features and reconstruct them into highly visualized volumetric images for spinal navigation. We showed the SUIGS highly visualized the bone markers with an imaging accuracy of 1.19 ± 0.85 mm in scanning tests on human volunteers. Through extensive testing on data from hospitalized patients containing atypical cases (spinal deformity, obesity), we confirmed that SUIGS generalizes across different individuals with a 100% success rate in aligning with preoperative CT. Furthermore, SUIGS yielded comparable results to three-dimensional fluoroscopy guidance in intraoperative intraspinal tumor localization and reduced the procedure to 8 min. This study explored and broadened the clinical application of standalone US navigation by providing intraoperative high-visualized volumetric spinal imaging, which is expected to increase the likelihood of surgeons adopting it in practice to reduce the occurrence of wrong-site surgery.

Indexed as

SpineSurgery, Computer-AssistedAdultFemaleFluoroscopyHumansImaging, Three-DimensionalMaleMiddle AgedTomography, X-Ray ComputedUltrasonographyFeature extractionImage-guided surgerySurgical navigationVolumetric spine imaging

Identifiers

PMID39929969
PMCPMC11810997

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.