Outer lumen arterial imaging with CTA: A potential tool to diagnose vertebral artery dissection

Q4 Medicine Radiology Case Reports Pub Date : 2025-04-19 DOI:10.1016/j.radcr.2025.03.041
Joseph T. George MD, Girish Bathla MBBS, MMed, Ian T. Mark MD, MSM
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Abstract

Differentiating vertebral artery dissection (VAD) from vertebral artery hypoplasia (VAH) can be difficult with standard CT/CTA imaging. However, making this distinction is critical to providing appropriate patient management. In this brief report/technical note, we describe a new 3D CTA postprocessing technique to potentially distinguish VAD from VAH. We describe a case of right-sided VAD, where the initially rendered 3D images demonstrated a small inner lumen of the vertebral artery (VA). With this technique, VAD and VAH can potentially be conflated as the inner lumens in both conditions are narrow. A subsequent set of 3D images highlighted the outer lumen, which was relatively preserved - a finding in VAD but not VAH. With the proliferation of CTA imaging in the emergency setting, this 3D post processing technique can serve as an invaluable tool. Moreover, this technique offers the potential to be expanded and improved upon by utilizing deep learning (DL)-based segmentation.
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CTA外腔动脉成像:一种诊断椎动脉夹层的潜在工具
通过标准的CT/CTA成像很难区分椎动脉夹层(VAD)和椎动脉发育不全(VAH)。然而,做出这种区分对于提供适当的患者管理至关重要。在这篇简短的报告/技术笔记中,我们描述了一种新的3D CTA后处理技术,可以潜在地区分VAD和VAH。我们描述了一例右侧VAD,其中最初渲染的3D图像显示了椎动脉(VA)的小内腔。使用这种技术,VAD和VAH可能会合并,因为两种情况下的内腔都很狭窄。随后的一组3D图像突出显示了相对保存的外腔,这是VAD而不是VAH的发现。随着CTA成像在紧急情况下的普及,这种3D后处理技术可以作为一种宝贵的工具。此外,通过利用基于深度学习(DL)的分割,该技术提供了扩展和改进的潜力。
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来源期刊
Radiology Case Reports
Radiology Case Reports Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
1.10
自引率
0.00%
发文量
1074
审稿时长
30 days
期刊介绍: The content of this journal is exclusively case reports that feature diagnostic imaging. Categories in which case reports can be placed include the musculoskeletal system, spine, central nervous system, head and neck, cardiovascular, chest, gastrointestinal, genitourinary, multisystem, pediatric, emergency, women''s imaging, oncologic, normal variants, medical devices, foreign bodies, interventional radiology, nuclear medicine, molecular imaging, ultrasonography, imaging artifacts, forensic, anthropological, and medical-legal. Articles must be well-documented and include a review of the appropriate literature.
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