Aaron So, Ki Seok Choo, Ji Won Lee, Yun-Hyeon Kim, Mustafa Haider, Mahmud Hasan, Serag El-Ganga, Akshaye Goela, Patrick Teefy, Yeon Hyeon Choe
{"title":"动态CT灌注成像在冠状动脉疾病患者中的血流储备测量。","authors":"Aaron So, Ki Seok Choo, Ji Won Lee, Yun-Hyeon Kim, Mustafa Haider, Mahmud Hasan, Serag El-Ganga, Akshaye Goela, Patrick Teefy, Yeon Hyeon Choe","doi":"10.1093/radadv/umae031","DOIUrl":null,"url":null,"abstract":"<p><strong>Purposes: </strong>The objective was to evaluate the accuracy of a novel CT dynamic angiographic imaging (CT-DAI) algorithm for rapid fractional flow reserve (FFR) measurement in patients with coronary artery disease (CAD).</p><p><strong>Materials and methods: </strong>This retrospective study included 14 patients (age 58.5 ± 10.6 years, 11 males) with CAD who underwent stress dynamic CT myocardial perfusion scanning with a dual-source CT scanner. The included patients had analyzable proximal and distal coronary artery segments adjacent to the stenosis in the perfusion images and had corresponding invasive catheter-based FFR measurements for that stenosis. An in-house software based on the CT-DAI algorithm was used to compute FFR using the pre- and post- lesion coronary time-enhancement curves obtained from the stress myocardial perfusion images. The CT-DAI derived FFR values were then compared to the corresponding catheter-based invasive FFR values. A coronary artery stenosis was considered functionally significant for FFR value <0.8.</p><p><strong>Results: </strong>The CT-DAI derived FFR values were in agreement with the invasive FFR values in all 15 coronary arteries in 14 patients, resulting in 100% per-vessel and per-patient diagnostic accuracy. FFR derived using CT-DAI (<i>M</i> = 0.768, SD = 0.156) showed an excellent linear correlation (<i>R</i> = 0.910, <i>P</i> < .001) and statistical indifference (<i>P</i>= .655) with that measured using invasive catheter-based method (<i>M</i> = 0.796, SD = 0.149). Bland-Altman analysis showed no significant proportional bias.</p><p><strong>Conclusion: </strong>The novel CT-DAI algorithm can reliably compute FFR across a coronary artery stenosis directly from dynamic CT myocardial perfusion images, facilitating rapid on-site hemodynamic assessment of the epicardial coronary artery stenosis in patients with CAD.</p>","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"1 4","pages":"umae031"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11706786/pdf/","citationCount":"0","resultStr":"{\"title\":\"Fractional flow reserve measurement using dynamic CT perfusion imaging in patients with coronary artery disease.\",\"authors\":\"Aaron So, Ki Seok Choo, Ji Won Lee, Yun-Hyeon Kim, Mustafa Haider, Mahmud Hasan, Serag El-Ganga, Akshaye Goela, Patrick Teefy, Yeon Hyeon Choe\",\"doi\":\"10.1093/radadv/umae031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purposes: </strong>The objective was to evaluate the accuracy of a novel CT dynamic angiographic imaging (CT-DAI) algorithm for rapid fractional flow reserve (FFR) measurement in patients with coronary artery disease (CAD).</p><p><strong>Materials and methods: </strong>This retrospective study included 14 patients (age 58.5 ± 10.6 years, 11 males) with CAD who underwent stress dynamic CT myocardial perfusion scanning with a dual-source CT scanner. The included patients had analyzable proximal and distal coronary artery segments adjacent to the stenosis in the perfusion images and had corresponding invasive catheter-based FFR measurements for that stenosis. An in-house software based on the CT-DAI algorithm was used to compute FFR using the pre- and post- lesion coronary time-enhancement curves obtained from the stress myocardial perfusion images. The CT-DAI derived FFR values were then compared to the corresponding catheter-based invasive FFR values. A coronary artery stenosis was considered functionally significant for FFR value <0.8.</p><p><strong>Results: </strong>The CT-DAI derived FFR values were in agreement with the invasive FFR values in all 15 coronary arteries in 14 patients, resulting in 100% per-vessel and per-patient diagnostic accuracy. FFR derived using CT-DAI (<i>M</i> = 0.768, SD = 0.156) showed an excellent linear correlation (<i>R</i> = 0.910, <i>P</i> < .001) and statistical indifference (<i>P</i>= .655) with that measured using invasive catheter-based method (<i>M</i> = 0.796, SD = 0.149). Bland-Altman analysis showed no significant proportional bias.</p><p><strong>Conclusion: </strong>The novel CT-DAI algorithm can reliably compute FFR across a coronary artery stenosis directly from dynamic CT myocardial perfusion images, facilitating rapid on-site hemodynamic assessment of the epicardial coronary artery stenosis in patients with CAD.</p>\",\"PeriodicalId\":519940,\"journal\":{\"name\":\"Radiology advances\",\"volume\":\"1 4\",\"pages\":\"umae031\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11706786/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiology advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/radadv/umae031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiology advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/radadv/umae031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Fractional flow reserve measurement using dynamic CT perfusion imaging in patients with coronary artery disease.
Purposes: The objective was to evaluate the accuracy of a novel CT dynamic angiographic imaging (CT-DAI) algorithm for rapid fractional flow reserve (FFR) measurement in patients with coronary artery disease (CAD).
Materials and methods: This retrospective study included 14 patients (age 58.5 ± 10.6 years, 11 males) with CAD who underwent stress dynamic CT myocardial perfusion scanning with a dual-source CT scanner. The included patients had analyzable proximal and distal coronary artery segments adjacent to the stenosis in the perfusion images and had corresponding invasive catheter-based FFR measurements for that stenosis. An in-house software based on the CT-DAI algorithm was used to compute FFR using the pre- and post- lesion coronary time-enhancement curves obtained from the stress myocardial perfusion images. The CT-DAI derived FFR values were then compared to the corresponding catheter-based invasive FFR values. A coronary artery stenosis was considered functionally significant for FFR value <0.8.
Results: The CT-DAI derived FFR values were in agreement with the invasive FFR values in all 15 coronary arteries in 14 patients, resulting in 100% per-vessel and per-patient diagnostic accuracy. FFR derived using CT-DAI (M = 0.768, SD = 0.156) showed an excellent linear correlation (R = 0.910, P < .001) and statistical indifference (P= .655) with that measured using invasive catheter-based method (M = 0.796, SD = 0.149). Bland-Altman analysis showed no significant proportional bias.
Conclusion: The novel CT-DAI algorithm can reliably compute FFR across a coronary artery stenosis directly from dynamic CT myocardial perfusion images, facilitating rapid on-site hemodynamic assessment of the epicardial coronary artery stenosis in patients with CAD.