Investigating hyperostosis frontalis interna: a computed tomography analysis and predictive model for Hershkovitz classification.

IF 1.1 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Acta radiologica Pub Date : 2025-04-01 Epub Date: 2025-02-03 DOI:10.1177/02841851251313557
Raza Mushtaq, Anish Bhandari, Srinivasan Vedantham, Richard Joseph Wruble, Unni Udayasankar, Samuel N Rogers
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引用次数: 0

Abstract

BackgroundAxial computed tomography (CT) cross-sections offer an accessible model for assessing diverse pathologies associated with hyperostosis frontalis interna (HFI) based on the Hershkovitz classification.PurposeTo delineate the CT characteristics of HFI, emphasizing a radiological description using the Hershkovitz classification. It investigated whether the Hershkovitz classification can be predicted using density, a variable unexplored in the literature. HFI thickness and the presence of concurrent hyperostosis beyond the frontal bone (HBFB) were evaluated across varying degrees of the Hershkovitz classification.Material and MethodsThis retrospective study evaluated characteristics of HFI on CT. Each case was assigned a Hershkovitz classification. Density and thickness of the HFI along with the presence of concurrent HBFB were evaluated and correlated with the Hershkovitz classification.ResultsAxial CT of 77 patients with HFI was evaluated. Patient characteristics including sex were uncorrelated with CT measurements (P > 0.25) and Hershkovitz classification (P > 0.06). Increasing HFI thickness was associated with a higher Hershkovitz classification (odds ratio [OR] = 1.863, 95% confidence interval [CI] = 1.452-2.389; P < 0.001), and increasing density of HFI was associated with a lower Hershkovitz classification (OR = 0.995, 95% CI = 0.992-0.998; P = 0.002). Higher Hershkovitz classification was also found to be associated with the presence of concurrent HBFB (OR = 31.694, 95% CI = 6.483-154.938; P < 0.001).ConclusionIn our cohort, Hershkovitz classification on axial CT correlated with increased HFI thickness, presence of HBFB, and lower HFI density.

研究内部额部肥厚:赫什科维茨分类的计算机断层扫描分析和预测模型。
背景:基于Hershkovitz分类,轴向计算机断层扫描(CT)横截面为评估与内额部肥厚症(HFI)相关的各种病理提供了一个可访问的模型。目的:描述HFI的CT特征,强调使用Hershkovitz分类的放射学描述。它调查了赫什科维茨分类是否可以使用密度来预测,这是一个在文献中未被探索的变量。通过不同程度的Hershkovitz分类评估HFI厚度和额骨外并发骨质增生(HBFB)的存在。材料和方法:本回顾性研究评价HFI的CT特征。每个病例被分配一个赫什科维茨分类。评估HFI的密度和厚度以及并发HBFB的存在,并与Hershkovitz分类相关。结果:对77例HFI患者进行轴位CT检查。包括性别在内的患者特征与CT测量值(P > = 0.25)和Hershkovitz分类(P > = 0.06)无关。HFI厚度增加与较高的Hershkovitz分级相关(优势比[OR] = 1.863, 95%可信区间[CI] = 1.452-2.389;p = 0.002)。较高的Hershkovitz分级也与并发hbbfb的存在相关(OR = 31.694, 95% CI = 6.483-154.938;结论:在我们的队列中,轴向CT上的Hershkovitz分型与HFI厚度增加、HBFB的存在和HFI密度降低相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Acta radiologica
Acta radiologica 医学-核医学
CiteScore
2.70
自引率
0.00%
发文量
170
审稿时长
3-8 weeks
期刊介绍: Acta Radiologica publishes articles on all aspects of radiology, from clinical radiology to experimental work. It is known for articles based on experimental work and contrast media research, giving priority to scientific original papers. The distinguished international editorial board also invite review articles, short communications and technical and instrumental notes.
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