[Verification of Image Reconstruction Error Improvement Effect of Stent Enhancement Processing Using Region of Interest Function in Percutaneous Coronary Intervention].

Kazuya Mori, Kouhei Makabe, Ryou Sekiguchi, Toru Negishi
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Abstract

Purpose: Stent enhancement processing (SV) is an image processing technique that improves the visibility of coronary artery stents, and its usefulness in percutaneous coronary intervention (PCI) has been reported. However, the re-acquisition of image reconstruction errors increases patient exposure dose. This study aims to retrospectively evaluate cases of SV and identify the effect of improving image reconstruction errors using the region of interest (ROI) function of SV.

Methods: The evaluation targets were 584 PCI cases where SV was used from January 2016 to December 2020. SV error was defined as the image reconstruction error in SV imaging. We evaluated the improvement of SV errors by using the ROI function of SV for images that exhibited SV errors. Significant differences in the improvement effect on SV error by using the ROI function of SV were determined using a paired t-test. A chi-squared test was performed to determine the significance of the relationship between each evaluation item and the SV error.

Results: There were 53 cases of SV errors when the ROI function of SV was not used. The ROI function of SV improved SV errors in 52 cases (p<0.05). In addition, there was no significant relationship between SV errors when using the ROI function of SV and each evaluation item.

Conclusion: The ROI function of SV improved the SV error in 98.11% of the cases where the SV error occurred. The ROI function of SV is useful for reducing SV errors.

[经皮冠状动脉介入治疗中支架增强处理图像重建误差改善效果验证]。
目的:支架增强处理(SV)是一种提高冠状动脉支架可见性的图像处理技术,其在经皮冠状动脉介入治疗(PCI)中的应用已被报道。然而,图像重建错误的重新获取增加了患者的暴露剂量。本研究旨在回顾性评估SV病例,并确定使用SV的感兴趣区域(ROI)函数改善图像重建误差的效果。方法:评估对象为2016年1月至2020年12月584例使用SV的PCI患者。SV误差定义为SV成像中的图像重建误差。我们通过使用SV的ROI函数对显示SV误差的图像评估SV误差的改善。使用SV的ROI函数对SV误差改善效果的显著性差异采用配对t检验。采用卡方检验确定各评价项目与SV误差之间关系的显著性。结果:在不使用SV ROI函数的情况下,出现了53例SV误差。结论:在发生SV错误的病例中,SV的ROI函数改善了98.11%的SV错误。SV的ROI函数有助于减少SV误差。
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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