{"title":"[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]。","authors":"Kazuya Mori, Kouhei Makabe, Ryou Sekiguchi, Toru Negishi","doi":"10.6009/jjrt.25-1515","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":"81 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Verification of Image Reconstruction Error Improvement Effect of Stent Enhancement Processing Using Region of Interest Function in Percutaneous Coronary Intervention].\",\"authors\":\"Kazuya Mori, Kouhei Makabe, Ryou Sekiguchi, Toru Negishi\",\"doi\":\"10.6009/jjrt.25-1515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":74309,\"journal\":{\"name\":\"Nihon Hoshasen Gijutsu Gakkai zasshi\",\"volume\":\"81 7\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nihon Hoshasen Gijutsu Gakkai zasshi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6009/jjrt.25-1515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nihon Hoshasen Gijutsu Gakkai zasshi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6009/jjrt.25-1515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[Verification of Image Reconstruction Error Improvement Effect of Stent Enhancement Processing Using Region of Interest Function in Percutaneous Coronary Intervention].
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.