Evidence map›Paper›PMID 41851629›Full record

ArticleBMC medical imaging2026

A dynamic nomogram for predicting primary intraoperative brain bulge in patients with traumatic acute subdural hematoma.

Shilong Fu, Limin Tong, Guofeng Wang, Xiaoting Lin

Abstract read
In one paragraph

Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

4 authors.

Shilong Fu *Department of Neurosurgery, The First Hospital of Putian, Putian, 351100, China.
Limin Tong *Department of Critical Care Medicine, The First Hospital of Putian, No. 449 South Gate West Road, Chengxiang District, Putian, 351100, Putian, China.
Guofeng WangDepartment of Neurosurgery, The First Hospital of Putian, Putian, 351100, China.
Xiaoting LinDepartment of Critical Care Medicine, The First Hospital of Putian, No. 449 South Gate West Road, Chengxiang District, Putian, 351100, Putian, China. linxt1028@163.com.

Funding

Science and Technology Plan Project of Putian City 2023SY010Youth Scientific Research Project of Fujian Provincial Health Commission 2023QNA095
6 · The paper itself

Abstract

purposeIntraoperative brain bulge (IOBB) is a serious and potentially life-threatening surgical complication. This study aimed to examine the predictive value of the hematoma thickness-to-midline shift (HT/MS) ratio and develop a new prediction model for primary IOBB in patients with traumatic acute subdural hematoma (tASDH).

methodsThis retrospective study included 140 patients who underwent surgical treatment for tASDH between January 2017 and November 2023. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors associated with primary IOBB. The predictive performance of the model was evaluated through receiver operating characteristic (ROC) curve analysis, calibration plots, and decision curve analysis. A dynamic nomogram for predicting primary IOBB was developed and made available online as an easy-to-use calculator.

resultsThe incidence of primary IOBB in patients with tASDH was 17.86% (25/140). Bilateral pupillary dilation (odds ratio [OR] = 5.408), lower HT/MS ratio (OR = 0.170), and longer time from injury to surgery (OR = 4.612) were independent risk factors for primary IOBB. The basic model that included only traditional risk factors had an area under the ROC curve (AUC) of 0.721 (95% confidence interval [CI]: 0.603–0.840). Incorporating HT/MS ratio into the full model increased the AUC to 0.790 (95% CI: 0.679–0.901). Based on the full model, the nomogram was developed and exhibited satisfactory calibration performance. When the threshold probabilities ranged from 18% to 61%, the nomogram’s net benefit outperformed that of the basic model.

conclusionsThe HT/MS ratio is a novel predictor of primary IOBB in patients with tASDH. The developed dynamic nomogram is a valuable tool for predicting primary IOBB; however, further external validation is necessary.

Indexed as

Hematoma, Subdural, AcuteIntraoperative ComplicationsNomogramsAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsROC CurveTomography, X-Ray ComputedHematoma thickness-to-midline shift ratioIntraoperative brain bulgeNomogramPrediction modelTraumatic acute subdural hematoma

Identifiers

PMID41851629
PMCPMC13123144

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LicenceCC BY-NC-ND
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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.