在颅内动脉瘤的血管内治疗过程中,利用虚拟稀释锥形束 CT 评估装置的位置:技术说明

IF 3 3区 医学 Q2 CLINICAL NEUROLOGY
Patricio Muszynski , Jean François Hak , Basile Kerleroux , Benjamin Gory , René Anxionnat , François Zhu
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引用次数: 0

摘要

越来越多地使用放射能力欠佳的栓塞装置来治疗颅内动脉瘤,这突出表明需要先进的成像技术来更准确地描述装置与血管之间的相互作用。造影剂稀释锥形束 CT 常用于神经介入治疗,但需要更多的技术改进来改善血管内治疗评估。在本技术说明中,我们介绍了虚拟稀释锥形束 CT(VDCBCT),该技术可合成非对比度和对比度增强 CBCT 图像,以虚拟稀释碘化造影剂,从而更准确地评估栓塞装置的位置。通过一组使用不同栓塞装置治疗的颅内动脉瘤,我们描述了 VDCBCT 方案及其对栓塞装置位置置信度的作用。VDCBCT 可以改善靶血管和低放射容积栓塞装置的可视化,从而避免造影剂稀释,从而提高对神经血管栓塞治疗的全面了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual diluted cone beam CT for device apposition assessment during endovascular treatment of intracranial aneurysm: A technical note

The increasing use of embolization devices with suboptimal radio-opacity to treat intracranial aneurysm underscores the need for advanced imaging techniques to characterize device-vessel interactions more accurately. Contrast-diluted cone-beam CT is commonly used in neurointervention but requires additional technical refinements to improve endovascular treatment assessment. In this technical note, we describe the virtual dilution cone beam CT (VDCBCT), a technique that synthetizes non-contrast and contrast-enhanced CBCT images to virtually dilute iodinated contrast agents, thereby facilitating a more accurate assessment of embolization device apposition.

Through a set of intracranial aneurysms treated with different embolization devices, we describe the VDCBCT protocol and its usefulness for device apposition confidence.

VDCBCT may enhance the global understanding of neurovascular embolization treatments by providing improved visualization of target vessels and low-radio-opacity embolization devices, obviating the need for contrast dilution.

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来源期刊
Journal of Neuroradiology
Journal of Neuroradiology 医学-核医学
CiteScore
6.10
自引率
5.70%
发文量
142
审稿时长
6-12 weeks
期刊介绍: The Journal of Neuroradiology is a peer-reviewed journal, publishing worldwide clinical and basic research in the field of diagnostic and Interventional neuroradiology, translational and molecular neuroimaging, and artificial intelligence in neuroradiology. The Journal of Neuroradiology considers for publication articles, reviews, technical notes and letters to the editors (correspondence section), provided that the methodology and scientific content are of high quality, and that the results will have substantial clinical impact and/or physiological importance.
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