Evidence map›Paper›PMID 35189892›Full record

ArticleBMC musculoskeletal disorders2022

The accuracy and effectiveness of automatic pedicle screw trajectory planning based on computer tomography values: an in vitro osteoporosis model study.

Jia Bin Liu, Rui Zuo, Wen Jie Zheng, Chang Qing Li, Chao Zhang, Yue Zhou

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2022. 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
1.5field-weighted citation impact, top 19% of its field
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, 7 citations in OpenAlex.

  1. Article
  2. Article
  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

6 authors at 2 institutions in 1 country.

Jia Bin LiuDepartment of Orthopaedics, Xinqiao Hospital, Amy Medical University (Third Military Medical University), Chongqing, 400037, People's Republic of China.
Rui ZuoDepartment of Orthopaedics, Xinqiao Hospital, Amy Medical University (Third Military Medical University), Chongqing, 400037, People's Republic of China.
Wen Jie ZhengDepartment of Orthopaedics, Xinqiao Hospital, Amy Medical University (Third Military Medical University), Chongqing, 400037, People's Republic of China.
Chang Qing LiDepartment of Orthopaedics, Xinqiao Hospital, Amy Medical University (Third Military Medical University), Chongqing, 400037, People's Republic of China.
Chao ZhangDepartment of Orthopaedics, Xinqiao Hospital, Amy Medical University (Third Military Medical University), Chongqing, 400037, People's Republic of China. tmmuzc@163.com.
Yue ZhouDepartment of Orthopaedics, Xinqiao Hospital, Amy Medical University (Third Military Medical University), Chongqing, 400037, People's Republic of China. happyzhou@vip.163.com.
Xinqiao Hospital · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPedicle screw placement in patients with osteoporosis is a serious clinical challenge. The bone mineral density (BMD) of the screw trajectory has been positively correlated with the screw pull-out force, while the computer tomography (CT) value has been linearly correlated with the BMD. The purpose of this study was to establish an in vitro osteoporosis model and verify the accuracy and effectiveness of automated pedicle screw planning software based on CT values in this model.

methodsTen vertebrae (L1-L5) of normal adult pigs were randomly divided into decalcification and control groups. In the decalcification group, the vertebral bodies were decalcified with Ethylenediaminetetraacetic acid (EDTA) to construct an in vitro osteoporosis model. In the decalcification group, automatic planning (AP) and conventional manual planning (MP) were used to plan the pedicle screw trajectory on the left and right sides of the pedicle, respectively, and MP was used on both sides of the control group. CT values of trajectories obtained by the two methods were measured and compared. Then, 3D-printed guide plates were designed to assist pedicle screw placement. Finally, the pull-out force of the trajectory obtained by the two methods was measured.

resultsAfter decalcification, the BMD of the vertebra decreased from - 0.03 ± 1.03 to - 3.03 ± 0.29 (P < 0.05). In the decalcification group, the MP trajectory CT value was 2167.28 ± 65.62 Hu, the AP trajectory CT value was 2723.96 ± 165.83 Hu, and the MP trajectory CT value in the control group was 2242.94 ± 25.80 Hu (P < 0.05). In the decalcified vertebrae, the screw pull-out force of the MP group was 48.6% lower than that of the control group (P < 0.05). The pull-out force of the AP trajectory was 44.7% higher than that of the MP trajectory (P < 0.05) and reached 97.4% of the MP trajectory in the control group (P > 0.05).

conclusionAutomatic planning of the pedicle screw trajectory based on the CT value can obtain a higher screw pull-out force, which is a valuable new method of pedicle screw placement in osteoporotic vertebre.

Indexed as

OsteoporosisPedicle ScrewsAnimalsComputersHumansLumbar VertebraeSwineTomography, X-Ray ComputedBiomechanical researchIn vitro model testOsteoporosisPedicle screw placementSoftware automatic planning

Identifiers

PMID35189892
PMCPMC8862578
OpenAlexW4212845220

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.