Evidence map›Paper›PMID 41772504›Full record

ArticleBMC medical imaging2026

Can the addition of "Black Bone" sequence improve diagnosis of skull fractures after traumatic brain injury in children?

Junwei Li, Ke Jin, Xiaoming Li, Xiamei Zhuang, Yan Yin, Huiting Zhang, Hong Liu, Meitao Liu, Haolin Jin

Abstract read
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Article in BMC medical imaging, 2026. 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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5 · Who and what money

Authors and funding

9 authors.

Junwei LiDepartment of Radiology, Hunan Children's Hospital, 86 Ziyuan Road, Yuhua District, Changsha, 410007, China.
Ke Jin *Department of Radiology, Hunan Children's Hospital, 86 Ziyuan Road, Yuhua District, Changsha, 410007, China. jinke202207@163.com.ORCID 0000-0002-1996-4438
Xiaoming Li *Department of Radiology, Hunan Children's Hospital, 86 Ziyuan Road, Yuhua District, Changsha, 410007, China. xhxgcl9@163.com.
Xiamei ZhuangDepartment of Radiology, Hunan Children's Hospital, 86 Ziyuan Road, Yuhua District, Changsha, 410007, China.ORCID 0000-0001-6547-0407
Yan YinDepartment of Radiology, Hunan Children's Hospital, 86 Ziyuan Road, Yuhua District, Changsha, 410007, China.
Huiting ZhangMR Research Collaboration, Siemens Healthineers Ltd., Wuhan, China.
Hong LiuDepartment of Radiology, Hunan Children's Hospital, 86 Ziyuan Road, Yuhua District, Changsha, 410007, China.
Meitao LiuDepartment of Radiology, Hunan Children's Hospital, 86 Ziyuan Road, Yuhua District, Changsha, 410007, China.
Haolin JinYali High School International Department, Changsha, China.

Funding

Hunan Provincial Natural Science Foundation of China 2026JJ81713
6 · The paper itself

Abstract

backgroundThis study aimed to evaluate whether three-dimensional (3D) Black Bone imaging enhances diagnostic accuracy in detecting skull fractures in children with traumatic brain injury (TBI), using computed tomography (CT) as the reference standard. MATERIALS: Data were collected between January 2022 and August 2024 from 50 pediatric TBI patients (27 boys, 23 girls; mean age: 4.76 ± 3.39 years) who underwent CT (gold standard) and conventional magnetic resonance imaging (MRI), with or without the Black Bone sequence, for fracture diagnosis. Patients were categorized by age (< 3 years, ≧3 years) and fracture type (linear, depressed, sutural disconnection, comminuted). The presence or absence of skull fracture was assessed using conventional MRI with and without Black Bone images. Conen’s kappa, McNemar’s test, area under curve (AUC), accuracy, sensitivity, negative predictive values (NPV) and positive predictive values (NPV) were employed to compare inter-reader agreement and fracture detection performance between image types.

resultsFor all cases of skull fracture, conventional MRI with Black Bone images demonstrated an AUC of 0.947 (95% CI: 0.937–0.990) compared to 0.711 (95% CI: 0.650–0.766) for conventional MRI without Black Bone. In addition, conventional MRI with Black Bone images achieved a diagnostic accuracy of 76.0%, sensitivity of 94.7%, NPV of 85.7%, and agreement (ĸ) of 0.896, all higher than those obtained by conventional MRI without Black Bone. However, both imaging modalities showed lower accuracy, sensitivity, and agreement in detecting fractures among patients aged [Formula: see text] 3 years, as well as in cases of linear and sutural disconnection fractures, compared to patients aged [Formula: see text] 3 years and cases of depressed and comminuted fractures.

conclusionsBlack Bone imaging could improve MRI detection of pediatric skull fractures in TBI, especially in children aged [Formula: see text] 3 years old.

Indexed as

Brain Injuries, TraumaticImaging, Three-DimensionalMagnetic Resonance ImagingSkull FracturesTomography, X-Ray ComputedChildChild, PreschoolFemaleHumansInfantMaleRetrospective StudiesSensitivity and SpecificityMagnetic resonance imagingPediatricRadiationSkull fractureThree-dimensionalVolumetric interpolated breath-hold examination

Identifiers

PMID41772504
PMCPMC13059407

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