Evidence map›Paper›PMID 40471341›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2025

Development of a risk scoring system for surgical site infection after lumbar surgery using Dixon MRI and clinical parameters.

Yijin Wang, Qiyang Wang, Huayan Zuo, Xiarong Gong, Yong Yang, Guoli Bi, Qiu Bi

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Article in 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, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yijin Wang *The Affiliated Hospital of Kunming University of Science and Technology, Department of MRI, the First People's Hospital of Yunnan Province, Kunming, China.
Qiyang Wang *Department of Orthopedic Surgery, the Key Laboratory of Digital Orthopaedics of Yunnan Provincial, Yunnan Province Spinal Cord Disease Clinical Medical Center, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Huayan ZuoThe Affiliated Hospital of Kunming University of Science and Technology, Department of MRI, the First People's Hospital of Yunnan Province, Kunming, China.
Xiarong GongDepartment of MRI, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Yong YangDepartment of MRI, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Guoli BiDepartment of MRI, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China. guolibi76@163.com.
Qiu BiDepartment of MRI, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China. 1289167098@qq.com.

Funding

Yunnan Orthopaedic and Sports Rehabilitation Clinical Medical Research Center 2023YJZX-GK01; 202102AA310068Yunnan Provincial Department of Science and Technology, Applied Basic Surface Project 202201AT070278Yunnan Provincial Department of Science, Technology, Kunming Medical Joint Special-Project 202201AC070436Yunnan Spinal Cord Disease Clinical Medical Center 2024JSKFKT-05; 2024JSKFKT-17; ZX2022000101
6 · The paper itself

Abstract

objectiveTo devise a scoring model that integrates clinical parameters and Dixon MRI markers to predict the probability of surgical site infections (SSI) occurrence after lumbar surgery.

methodsA retrospective analysis was conducted on 1307 patients who underwent lumbar surgery, with 63 SSI patients and 1244 non-SSI patients. Clinical characteristics and the quantitative parameters on Dixon MRI, such as fat fraction (FF), functional cross-sectional area (FCSA), and psoas to lumbar vertebral index (PLVI), were assessed for differences between the two groups. A multivariate logistic regression model was applied to identify independent predictors that could be utilized in developing of a scoring system, and the performance was assessed through the receiver operating characteristic (ROC) curve.

resultsThe incidence of SSI was 4.82% (63/1307). The preoperative risk factors for SSI included age (OR 4.442, P = 0.049), duration of surgery (OR 2.872, P = 0.029), multi-segment surgery (OR 3.463, P = 0.021), surgical approach (OR 8.223, P = 0.045), and FCSA (OR 2.152, P = 0.004). When the overall scores of these five predictors were greater than or equal to 3.5 points, the area under the curve (AUC) was 0.823, with sensitivity, specificity, positive predictive value, and negative predictive value of 56.6%, 91.9%, 26.1%, and 97.7%, respectively.

conclusionThe scoring system based on clinical parameters and Dixon MRI indicators is promising for predicting post-lumbar surgery SSI.

Indexed as

Lumbar VertebraeMagnetic Resonance ImagingSurgical Wound InfectionAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsDixon MRIParaspinal musclesRisk factorsScoring systemSurgical site infection

Identifiers

PMID40471341

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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 Socratic graph.