Evidence map›Paper›PMID 37008803›Full record

ArticleClinical interventions in aging2023

Three-Dimensional Hounsfield Units Measurement of Pedicle Screw Trajectory for Predicating Screw Loosening in Lumbar Fusion Surgery.

He Zhao, Yan-Jun Wang, Rui-Guo Wang, Da Liu, Ya-Qing Duan, Yang-Jin Liu, Yu-Hong Zeng, Qin-Peng Zhao, Zheng-Ping Zhang

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Effects of excessive distraction during anterior cervical spine surgery: a systematic review and meta-analysis of clinical outcomes, radiological changes, and complications.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

9 authors at 2 institutions in 1 country.

He Zhao *Department of Emergency Medicine, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, People's Republic of China.
Yan-Jun Wang *Department of Emergency Medicine, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, People's Republic of China.
Rui-Guo WangDepartment of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, People's Republic of China.
Da LiuDepartment of Orthopaedics, General Hospital of Western Theatre Command of PLA, Chengdu, Sichuan, 610083, People's Republic of China.
Ya-Qing DuanDepartment of Imaging, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, People's Republic of China.
Yang-Jin LiuDepartment of Emergency Medicine, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, People's Republic of China.
Yu-Hong ZengDepartment of Osteoporosis, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, People's Republic of China.
Qin-Peng ZhaoDepartment of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, People's Republic of China.
Zheng-Ping ZhangDepartment of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, People's Republic of China.
Xi'an Jiaotong University · CNXi'an Honghui Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Dual-energy X-ray absorptiometry (DXA) is commonly used for evaluation of bone mineral density before spinal surgery, but frequently leads to overestimation in degenerative spinal diseases due to osteoproliferation factors. We introduce a novel method to compare the predictive ability of Hounsfield Units (HU) and DXA methods to predict screw loosening after lumbar interbody fusion surgery in degenerative spinal diseases by measuring HU of pedicle screw trajectory on computed tomography (CT) images preoperatively. Patients and Methods: This retrospective study was conducted on patients who underwent posterior lumbar fusion surgery for degenerative diseases. CT HUs measurement was performed using medical imaging software, including the cancellous region on cross-sections of the vertebral body and three-dimensional pedicle screw trajectory. Receiver operating characteristic (ROC) curve analyses were performed for the risk of pedicle screw loosening in association with the Hounsfield scale and preoperative BMD, and the area under the curve (AUC) and the cutoff values were calculated. Results: A total of 90 patients were enrolled and were divided into loosening (n = 33, 36.7%) and non-loosening groups (n = 57, 63.3%). No significant differences in age, gender, length of fixation and preoperative BMD were found between both groups. The loosening group showed lower CT HU values in the vertebral body and screw trajectory than the non-loosening group. Screw trajectory HU (ST-HU) exhibited a higher AUC value than vertebral body HU (B-HU). The cutoff values of B-HU and ST-HU were 160 and 110 HUs, respectively. Conclusion: Three-dimensional pedicle screw trajectory HU values yields a stronger predictive value than vertebral body HU values and BMD and may provide more guidance for surgery. The risk of screw loosening is significantly increased at ST-HU <110 or B-HU <160 at L

Indexed as

Pedicle ScrewsSpinal DiseasesSpinal FusionBone DensityHumansLumbar VertebraeRetrospective Studiesdegenerative spinal diseasefixation failureimaging observationosteoporosis

Identifiers

PMID37008803
PMCPMC10065021
OpenAlexW4361010429

What OpenQuestion holds

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Registered trials

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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.