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Diagnostic Accuracy of a Novel On-site Virtual Fractional Flow Reserve Parallel Computing System
DC Field | Value | Language |
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dc.contributor.author | 박형복 | - |
dc.contributor.author | 이상은 | - |
dc.contributor.author | 장영걸 | - |
dc.contributor.author | 장혁재 | - |
dc.contributor.author | 전병환 | - |
dc.contributor.author | 홍영택 | - |
dc.date.accessioned | 2020-02-26T06:52:59Z | - |
dc.date.available | 2020-02-26T06:52:59Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 0513-5796 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/175327 | - |
dc.description.abstract | PURPOSE: To evaluate the diagnostic accuracy of a novel on-site virtual fractional flow reserve (vFFR) derived from coronary computed tomography angiography (CTA). MATERIALS AND METHODS: We analyzed 100 vessels from 57 patients who had undergone CTA followed by invasive FFR during coronary angiography. Coronary lumen segmentation and three-dimensional reconstruction were conducted using a completely automated algorithm, and parallel computing based vFFR prediction was performed. Lesion-specific ischemia based on FFR was defined as significant at ≤0.8, as well as ≤0.75, and obstructive CTA stenosis was defined that ≥50%. The diagnostic performance of vFFR was compared to invasive FFR at both ≤0.8 and ≤0.75. RESULTS: The average computation time was 12 minutes per patient. The correlation coefficient (r) between vFFR and invasive FFR was 0.75 [95% confidence interval (CI) 0.65 to 0.83], and Bland-Altman analysis showed a mean bias of 0.005 (95% CI -0.011 to 0.021) with 95% limits of agreement of -0.16 to 0.17 between vFFR and FFR. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 78.0%, 87.1%, 72.5%, 58.7%, and 92.6%, respectively, using the FFR cutoff of 0.80. They were 87.0%, 95.0%, 80.0%, 54.3%, and 98.5%, respectively, with the FFR cutoff of 0.75. The area under the receiver-operating characteristics curve of vFFR versus obstructive CTA stenosis was 0.88 versus 0.61 for the FFR cutoff of 0.80, respectively; it was 0.94 versus 0.62 for the FFR cutoff of 0.75. CONCLUSION: Our novel, fully automated, on-site vFFR technology showed excellent diagnostic performance for the detection of lesion-specific ischemia. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Yonsei University | - |
dc.relation.isPartOf | YONSEI MEDICAL JOURNAL | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Diagnostic Accuracy of a Novel On-site Virtual Fractional Flow Reserve Parallel Computing System | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | Hyung-Bok Park | - |
dc.contributor.googleauthor | Yeonggul Jang | - |
dc.contributor.googleauthor | Reza Arsanjani | - |
dc.contributor.googleauthor | Minh Tuan Nguyen | - |
dc.contributor.googleauthor | Sang-Eun Lee | - |
dc.contributor.googleauthor | Byunghwan Jeon | - |
dc.contributor.googleauthor | Sunghee Jung | - |
dc.contributor.googleauthor | Youngtaek Hong | - |
dc.contributor.googleauthor | Seongmin Ha | - |
dc.contributor.googleauthor | Sekeun Kim | - |
dc.contributor.googleauthor | Sang-Wook Lee | - |
dc.contributor.googleauthor | Hyuk-Jae Chang | - |
dc.identifier.doi | 10.3349/ymj.2020.61.2.137 | - |
dc.contributor.localId | A01752 | - |
dc.contributor.localId | A02827 | - |
dc.contributor.localId | A05267 | - |
dc.contributor.localId | A03490 | - |
dc.contributor.localId | A03514 | - |
dc.contributor.localId | A05736 | - |
dc.relation.journalcode | J02813 | - |
dc.identifier.eissn | 1976-2437 | - |
dc.identifier.pmid | 31997622 | - |
dc.subject.keyword | Fractional flow reserve, myocardial | - |
dc.subject.keyword | computed tomography angiography | - |
dc.subject.keyword | patient-specific computational modeling | - |
dc.contributor.alternativeName | Park, Hyung Bok | - |
dc.contributor.affiliatedAuthor | 박형복 | - |
dc.contributor.affiliatedAuthor | 이상은 | - |
dc.contributor.affiliatedAuthor | 장영걸 | - |
dc.contributor.affiliatedAuthor | 장혁재 | - |
dc.contributor.affiliatedAuthor | 전병환 | - |
dc.contributor.affiliatedAuthor | 홍영택 | - |
dc.citation.volume | 61 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 137 | - |
dc.citation.endPage | 144 | - |
dc.identifier.bibliographicCitation | YONSEI MEDICAL JOURNAL, Vol.61(2) : 137-144, 2020 | - |
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