Evidence map›Paper›PMID 37707550›Full record

ArticleEuropean radiology2024

Predictive value of intraoperative contrast-enhanced ultrasound in functional recovery of non-traumatic cervical spinal cord injury.

Xuankun Liang, Xianxiang Wang, Yanfang Chen, Danni He, Lujing Li, Guoliang Chen, Jiachun Li, Jie Li, Shaoyu Liu, Zuofeng Xu

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Article in European radiology, 2024. 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
1.6field-weighted citation impact, top 17% 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

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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, 5 citations in OpenAlex.

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4 · The record

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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 at 1 institution in 1 country.

Xuankun Liang *Department of Medical Ultrasonics, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China.
Xianxiang Wang *Department of Medical Ultrasonics, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China.
Yanfang ChenOutpatient Office, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China.
Danni HeDepartment of Medical Ultrasonics, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China.
Lujing LiDepartment of Medical Ultrasonics, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China.
Guoliang ChenDepartment of Orthopedic Surgery, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China.
Jiachun LiDepartment of Orthopedic Surgery, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China.
Jie LiDepartment of Medical Ultrasonics, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China.
Shaoyu LiuDepartment of Orthopedic Surgery, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China. liushaoy@mail.sysu.edu.cn.
Zuofeng XuDepartment of Medical Ultrasonics, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, China. xuzuofeng77@aliyun.com.ORCID http://orcid.org/0000-0003-3611-9698
Sun Yat-sen University · CN

Funding

Clinical Research Foundation of The Seventh Affiliated Hospital of Sun Yat-sen University ZSQYLCKYJJ202010
6 · The paper itself

Abstract

objectivesTo evaluate the ability of intraoperative CEUS to predict neurological recovery in patients with degenerative cervical myelopathy (DCM).

methodsTwenty-six patients with DCM who underwent laminoplasty and intraoperative ultrasound (IOUS) were included in this prospective study. The modified Japanese Orthopaedic Association (mJOA) scores and MRI were assessed before surgery and 12 months postoperatively. The anteroposterior diameter (APD), maximum spinal cord compression (MSCC), and area of signal changes in the cord at the compressed and normal levels were measured and compared using MRI and IOUS. Conventional blood flow and CEUS indices (time to peak, ascending slope, peak intensity (PI), and area under the curve (AUC)) at different levels during IOUS were calculated and analysed. Correlations between all indicators and the neurological recovery rate were evaluated.

resultsAll patients underwent IOUS and intraoperative CEUS, and the total recovery rate was 50.7 ± 33.3%. APD and MSCC improved significantly (p < 0.01). The recovery rate of the hyperechoic lesion group was significantly worse than that of the isoechoic group (p = 0.016). 22 patients were analysed by contrast analysis software. PI was higher in the compressed zone than in the normal zone (24.58 ± 3.19 versus 22.43 ± 2.39, p = 0.019). ΔPI

conclusionsSignal changes and microvascular perfusion evaluated using CEUS during surgery are valuable predictors of cervical myelopathy prognosis. CLINICAL RELEVANCE STATEMENT: In the spinal cord compression area of degenerative cervical myelopathy, especially in the hyperechoic lesions, intraoperative CEUS showed more significant contrast agent perfusion than in the normal area, and the degree was negatively correlated with the neurological prognosis. KEY POINTS: • Recovery rates in patients with hyperechoic findings were lower than those of patients without lesions detected during intraoperative ultrasound. • The peak intensity of CEUS was higher in compressed zones than in the normal parts of the spinal cord. • Quantitative CEUS comparisons of the peak intensity and area under the curve at the compressed and normal levels of the spinal cord revealed differences that were inversely correlated to the recovery rate.

Indexed as

Cervical CordSpinal Cord CompressionSpinal Cord DiseasesCervical VertebraeHumansMagnetic Resonance ImagingProspective StudiesSpinal CordTreatment OutcomeCervical myelopathyContrast-enhanced ultrasoundIntraoperative ultrasoundLaminoplastySpinal cord compression

Identifiers

PMID37707550
OpenAlexW4386725816

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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.