Applicability of 3-Dimensional Quantitative Coronary Angiography-Derived Computed Fractional Flow Reserve for Intermediate Coronary Stenosis
Background:Quantitative flow ratio (QFR) is a newly developed image-based index for estimating fractional flow reserve (FFR).Methods and Results:We analyzed 151 coronary arteries with intermediate stenosis in 142 patients undergoing wire-based FFR measurement using dedicated software. Predefined con...
Saved in:
| Published in | Circulation Journal Vol. 81; no. 7; pp. 988 - 992 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Japan
The Japanese Circulation Society
2017
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1346-9843 1347-4820 1347-4820 |
| DOI | 10.1253/circj.CJ-16-1261 |
Cover
| Abstract | Background:Quantitative flow ratio (QFR) is a newly developed image-based index for estimating fractional flow reserve (FFR).Methods and Results:We analyzed 151 coronary arteries with intermediate stenosis in 142 patients undergoing wire-based FFR measurement using dedicated software. Predefined contrast flow QFR, which was derived from 3-dimensional quantitative coronary angiography (3-D QCA) withThrombolysis in Myocardial Infarction (TIMI) frame counts, was compared with FFR as a reference. QFR had good correlation (r=0.80, P<0.0001) and agreement (mean difference: 0.01±0.05) with FFR. After applying the FFR cut-off ≤0.8, the overall accuracy rate of QFR ≤0.8 was 88.0%. On receiver operating characteristics analysis, the area under the curve was 0.93 for QFR. In contrast, 3-D QCA-derived anatomical indices had insufficient correlation with FFR and diagnostic performance compared with QFR.Conclusions:QFR had good correlation and agreement with FFR and high diagnostic performance in the evaluation of intermediate coronary stenosis, suggesting that QFR may be an alternative tool for estimating myocardial ischemia. |
|---|---|
| AbstractList | Quantitative flow ratio (QFR) is a newly developed image-based index for estimating fractional flow reserve (FFR).Methods and Results:We analyzed 151 coronary arteries with intermediate stenosis in 142 patients undergoing wire-based FFR measurement using dedicated software. Predefined contrast flow QFR, which was derived from 3-dimensional quantitative coronary angiography (3-D QCA) withThrombolysis in Myocardial Infarction (TIMI) frame counts, was compared with FFR as a reference. QFR had good correlation (r=0.80, P<0.0001) and agreement (mean difference: 0.01±0.05) with FFR. After applying the FFR cut-off ≤0.8, the overall accuracy rate of QFR ≤0.8 was 88.0%. On receiver operating characteristics analysis, the area under the curve was 0.93 for QFR. In contrast, 3-D QCA-derived anatomical indices had insufficient correlation with FFR and diagnostic performance compared with QFR.
QFR had good correlation and agreement with FFR and high diagnostic performance in the evaluation of intermediate coronary stenosis, suggesting that QFR may be an alternative tool for estimating myocardial ischemia. Quantitative flow ratio (QFR) is a newly developed image-based index for estimating fractional flow reserve (FFR).BACKGROUNDQuantitative flow ratio (QFR) is a newly developed image-based index for estimating fractional flow reserve (FFR).We analyzed 151 coronary arteries with intermediate stenosis in 142 patients undergoing wire-based FFR measurement using dedicated software. Predefined contrast flow QFR, which was derived from 3-dimensional quantitative coronary angiography (3-D QCA) withThrombolysis in Myocardial Infarction (TIMI) frame counts, was compared with FFR as a reference. QFR had good correlation (r=0.80, P<0.0001) and agreement (mean difference: 0.01±0.05) with FFR. After applying the FFR cut-off ≤0.8, the overall accuracy rate of QFR ≤0.8 was 88.0%. On receiver operating characteristics analysis, the area under the curve was 0.93 for QFR. In contrast, 3-D QCA-derived anatomical indices had insufficient correlation with FFR and diagnostic performance compared with QFR.METHODS AND RESULTSWe analyzed 151 coronary arteries with intermediate stenosis in 142 patients undergoing wire-based FFR measurement using dedicated software. Predefined contrast flow QFR, which was derived from 3-dimensional quantitative coronary angiography (3-D QCA) withThrombolysis in Myocardial Infarction (TIMI) frame counts, was compared with FFR as a reference. QFR had good correlation (r=0.80, P<0.0001) and agreement (mean difference: 0.01±0.05) with FFR. After applying the FFR cut-off ≤0.8, the overall accuracy rate of QFR ≤0.8 was 88.0%. On receiver operating characteristics analysis, the area under the curve was 0.93 for QFR. In contrast, 3-D QCA-derived anatomical indices had insufficient correlation with FFR and diagnostic performance compared with QFR.QFR had good correlation and agreement with FFR and high diagnostic performance in the evaluation of intermediate coronary stenosis, suggesting that QFR may be an alternative tool for estimating myocardial ischemia.CONCLUSIONSQFR had good correlation and agreement with FFR and high diagnostic performance in the evaluation of intermediate coronary stenosis, suggesting that QFR may be an alternative tool for estimating myocardial ischemia. Background:Quantitative flow ratio (QFR) is a newly developed image-based index for estimating fractional flow reserve (FFR).Methods and Results:We analyzed 151 coronary arteries with intermediate stenosis in 142 patients undergoing wire-based FFR measurement using dedicated software. Predefined contrast flow QFR, which was derived from 3-dimensional quantitative coronary angiography (3-D QCA) withThrombolysis in Myocardial Infarction (TIMI) frame counts, was compared with FFR as a reference. QFR had good correlation (r=0.80, P<0.0001) and agreement (mean difference: 0.01±0.05) with FFR. After applying the FFR cut-off ≤0.8, the overall accuracy rate of QFR ≤0.8 was 88.0%. On receiver operating characteristics analysis, the area under the curve was 0.93 for QFR. In contrast, 3-D QCA-derived anatomical indices had insufficient correlation with FFR and diagnostic performance compared with QFR.Conclusions:QFR had good correlation and agreement with FFR and high diagnostic performance in the evaluation of intermediate coronary stenosis, suggesting that QFR may be an alternative tool for estimating myocardial ischemia. |
| Author | Yazaki, Kyoichiro Ishii, Yasuhiro Kahata, Mitsuru Kumagai, Asako Kataoka, Shohei Inoue, Koji Enta, Kenji Otsuka, Masato Koganei, Hiroshi |
| Author_xml | – sequence: 1 fullname: Enta, Kenji organization: Department of Cardiology, Cardiovascular Center, Ogikubo Hospital – sequence: 1 fullname: Kataoka, Shohei organization: Department of Cardiology, Cardiovascular Center, Ogikubo Hospital – sequence: 1 fullname: Kumagai, Asako organization: Department of Cardiology, Cardiovascular Center, Ogikubo Hospital – sequence: 1 fullname: Kahata, Mitsuru organization: Department of Cardiology, Cardiovascular Center, Ogikubo Hospital – sequence: 1 fullname: Yazaki, Kyoichiro organization: Department of Cardiology, Cardiovascular Center, Ogikubo Hospital – sequence: 1 fullname: Inoue, Koji organization: Department of Cardiology, Cardiovascular Center, Ogikubo Hospital – sequence: 1 fullname: Koganei, Hiroshi organization: Department of Cardiology, Cardiovascular Center, Ogikubo Hospital – sequence: 1 fullname: Otsuka, Masato organization: Department of Cardiology, Cardiovascular Center, Ogikubo Hospital – sequence: 1 fullname: Ishii, Yasuhiro organization: Department of Cardiology, Cardiovascular Center, Ogikubo Hospital |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28331135$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kU1v3CAQhlGVqkm2vfdU-diLUzD-wMeV020SRar6dUYwizesMLiAG-1_6I8Ou94mUaVWQjBi3meGeTlHJ9ZZhdBbgi9IUdEPoD1sL7qbnNQ5KWryAp0RWjZ5yQp8cojrvGUlPUXnIWwxLlpcta_QacEoJYRWZ-j3chyNBiG10XGXuT6j-aUelA3aWWGyL5OwUUcR9S-Vdc6nS7_Llnaj3caL8W6XXyqfcuuUHMYppmDlBcSZXhl3n31VQflE985n1zYqP6i1FvFZuW9RWRd0eI1e9sIE9eZ4LtCP1cfv3VV--_nTdbe8zaEuipizHiopGpBpNBB9JQB6WUCLQeKmloQBEZJJ2UJTkhIY9ILhpunXtGkL1rd0gchcd7Kj2N0LY_jo9ZCewgnme2f5wVmeFqn53tnEvJ-Z0bufkwqRDzqAMkZY5abACWO4rOsmwQv07iidZJr1sfYf15MAzwLwLgSv-n-0726eta__QuDwK85GL7T5H7iawW2IYqMeOwkfNRh1BBjhzX57Ap8Ed8JzZekDY9PGEQ |
| CitedBy_id | crossref_primary_10_1161_JAHA_119_015586 crossref_primary_10_1002_ccd_28531 crossref_primary_10_1097_MCA_0000000000000650 crossref_primary_10_3310_hta25560 crossref_primary_10_1097_MCA_0000000000001309 crossref_primary_10_1136_heartjnl_2020_318289 crossref_primary_10_1038_s41598_021_85933_9 crossref_primary_10_1155_2020_7352150 crossref_primary_10_1016_j_ijcard_2022_05_066 crossref_primary_10_1016_j_tcm_2021_07_004 crossref_primary_10_1002_ccd_31384 crossref_primary_10_1016_j_jcin_2019_06_043 crossref_primary_10_33678_cor_2022_032 crossref_primary_10_1186_s12872_023_03153_7 crossref_primary_10_3389_fcvm_2022_872498 crossref_primary_10_1007_s10554_021_02195_2 crossref_primary_10_1016_j_jacc_2017_10_035 crossref_primary_10_1161_JAHA_123_029941 crossref_primary_10_3390_jcdd11010014 crossref_primary_10_1016_j_ijcard_2023_01_062 crossref_primary_10_1038_s41598_023_30991_4 crossref_primary_10_1155_2019_5828931 crossref_primary_10_1038_s41598_024_68212_1 crossref_primary_10_33678_cor_2021_060 crossref_primary_10_1093_eurheartj_ehy445 crossref_primary_10_1007_s00330_019_06023_z crossref_primary_10_1007_s10554_019_01703_9 crossref_primary_10_1038_s41746_024_01216_3 crossref_primary_10_4244_EIJ_D_18_01165 crossref_primary_10_1007_s12928_018_0516_y crossref_primary_10_4244_EIJ_D_17_00461 crossref_primary_10_7793_jcad_27_003 crossref_primary_10_1007_s00508_021_01970_4 crossref_primary_10_1016_j_jcin_2018_02_014 crossref_primary_10_1016_j_jjcc_2022_02_015 crossref_primary_10_3390_jcm13082243 crossref_primary_10_1007_s11596_023_2751_4 crossref_primary_10_1093_ehjci_jey187 crossref_primary_10_1016_j_ijcard_2020_04_069 crossref_primary_10_1016_j_ahj_2024_07_011 crossref_primary_10_1080_14779072_2018_1540303 crossref_primary_10_1007_s11886_022_01687_4 crossref_primary_10_1016_j_ijcard_2018_11_093 |
| Cites_doi | 10.1016/j.jacc.2013.11.043 10.1056/NEJMoa0807611 10.1016/j.jacc.2011.06.066 10.1016/j.jacc.2007.01.087 10.1016/j.jcin.2014.03.004 10.1001/2012.jama.11274 10.1016/j.jcin.2015.04.006 10.1016/j.jcin.2016.07.013 10.1007/978-94-011-3726-3_11 10.1253/circj.CJ-13-0161 10.1016/j.jcin.2012.08.024 10.1002/ccd.1810330312 10.4244/EIJY14M07_01 10.1016/S0140-6736(15)00057-4 10.1016/j.jacc.2014.07.017 10.1016/j.jacc.2009.06.062 10.1161/CIRCIMAGING.113.000297 |
| ContentType | Journal Article |
| Copyright | 2017 THE JAPANESE CIRCULATION SOCIETY |
| Copyright_xml | – notice: 2017 THE JAPANESE CIRCULATION SOCIETY |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 ADTOC UNPAY |
| DOI | 10.1253/circj.CJ-16-1261 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic Unpaywall for CDI: Periodical Content Unpaywall |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1347-4820 |
| EndPage | 992 |
| ExternalDocumentID | 10.1253/circj.cj-16-1261 28331135 10_1253_circj_CJ_16_1261 article_circj_81_7_81_CJ_16_1261_article_char_en |
| Genre | Clinical Trial Journal Article Observational Study |
| GroupedDBID | --- .55 29B 2WC 53G 5GY 5RE 6J9 ACGFO ADBBV AENEX ALMA_UNASSIGNED_HOLDINGS BAWUL CS3 DIK DU5 E3Z EBS EJD F5P GX1 JSF JSH KQ8 OK1 OVT P2P RJT RNS RZJ TR2 W2D X7M XSB ZXP .GJ 3O- AAYXX CITATION TKC CGR CUY CVF ECM EIF M~E NPM 7X8 ADTOC UNPAY |
| ID | FETCH-LOGICAL-c622t-8fc5ba7cb984caf5accfb2c90cb076b18c1ab8bb9c7414c8cfa8077fd37928f93 |
| IEDL.DBID | UNPAY |
| ISSN | 1346-9843 1347-4820 |
| IngestDate | Wed Oct 01 15:29:26 EDT 2025 Fri Jul 11 12:41:18 EDT 2025 Thu Jan 02 23:10:18 EST 2025 Tue Jul 01 02:01:20 EDT 2025 Thu Apr 24 23:07:58 EDT 2025 Wed Sep 03 06:30:02 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7 |
| Keywords | Myocardial ischemia 3-dimensional quantitative coronary angiography Fractional flow reserve Quantitative flow ratio |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c622t-8fc5ba7cb984caf5accfb2c90cb076b18c1ab8bb9c7414c8cfa8077fd37928f93 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Undefined-3 |
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://www.jstage.jst.go.jp/article/circj/81/7/81_CJ-16-1261/_pdf |
| PMID | 28331135 |
| PQID | 1880466725 |
| PQPubID | 23479 |
| PageCount | 5 |
| ParticipantIDs | unpaywall_primary_10_1253_circj_cj_16_1261 proquest_miscellaneous_1880466725 pubmed_primary_28331135 crossref_primary_10_1253_circj_CJ_16_1261 crossref_citationtrail_10_1253_circj_CJ_16_1261 jstage_primary_article_circj_81_7_81_CJ_16_1261_article_char_en |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2017-00-00 |
| PublicationDateYYYYMMDD | 2017-01-01 |
| PublicationDate_xml | – year: 2017 text: 2017-00-00 |
| PublicationDecade | 2010 |
| PublicationPlace | Japan |
| PublicationPlace_xml | – name: Japan |
| PublicationTitle | Circulation Journal |
| PublicationTitleAlternate | Circ J |
| PublicationYear | 2017 |
| Publisher | The Japanese Circulation Society |
| Publisher_xml | – name: The Japanese Circulation Society |
| References | 8. Morris PD, van de Vosse FN, Lawford PV, Hose DR, Gunn JP. “Virtual” (computed) fractional flow reserve: Current challenges and limitations. JACC Cardiovasc Interv 2015; 8: 1009–1017. 9. Norgaard BL, Leipsic J, Gaur S, Seneviratne S, Ko BS, Ito H, et al. Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: The NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). J Am Coll Cardiol 2014; 63: 1145–1155. 15. Tu S, Westra J, Yang J, von Birgelen C, Ferrara A, Pellicano M, et al. Diagnostic accuracy of fast computational approaches to derive fractional flow reserve from diagnostic coronary angiography: The International Multicenter FAVOR Pilot Study. JACC Cardiovasc Interv 2016; 9: 2024–2035. 3. van Nunen LX, Zimmermann FM, Tonino PAL, Barbato E, Baumbach A, Engstrøm T, et al. Fractional flow reserve versus angiography for guidance of PCI in patients with multivessel coronary artery disease (FAME): 5-year follow-up of a randomised controlled trial. Lancet 2015; 386: 1853–1860. 12. Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, et al. Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. J Am Coll Cardiol 2011; 58: 1989–1997. 17. Kirkeeide RL. Coronary obstructions, morphology and physiologic significance. In: Reiber JHC, Serruys PW, editors. Quantitative coronary arteriography. Dordrecht: Springer Netherlands, 1991; 229 – 244. 5. Pijls NH, van Schaardenburgh P, Manoharan G, Boersma E, Bech JW, van’t Veer M, et al. Percutaneous coronary intervention of functionally nonsignificant stenosis: 5-year follow-up of the DEFER Study. J Am Coll Cardiol 2007; 49: 2105–2111. 11. Tu S, Barbato E, Koszegi Z, Yang J, Sun Z, Holm NR, et al. Fractional flow reserve calculation from 3-dimensional quantitative coronary angiography and TIMI frame count: A fast computer model to quantify the functional significance of moderately obstructed coronary arteries. JACC Cardiovasc Interv 2014; 7: 768–777. 6. Pijls NHJ. Fractional flow reserve to guide coronary revascularization. Circ J 2013; 77: 561–569. 16. De Bruyne B, Paulus WJ, Pijls NHJ. Rationale and application of coronary transstenotic pressure gradient measurements. Cathet Cardiovasc Diagn 1994; 33: 250–261. 13. Min JK, Leipsic J, Pencina MJ, Berman DS, Koo BK, van Mieghem C, et al. Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA 2012; 308: 1237–1245. 4. Fihn SD, Blankenship JC, Alexander KP, Bittl JA, Byrne JG, Fletcher BJ, et al. 2014 ACC/AHA/AATS/PCNA/SCAI/STS focused update of the guideline for the diagnosis and management of patients with stable ischemic heart disease: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines, and the American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J Am Coll Cardiol 2014; 64: 1929–1949. 2. Tonino PAL, De Bruyne B, Pijls NHJ, Siebert U, Ikeno F, van’t Veer M, et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med 2009; 360: 213–224. 14. Nakazato R, Park HB, Berman DS, Gransar H, Koo BK, Erglis A, et al. Noninvasive fractional flow reserve derived from computed tomography angiography for coronary lesions of intermediate stenosis severity: Results from the DeFACTO study. Circ Cardiovasc Imaging 2013; 6: 881–889. 1. Kern MJ, Samady H. Current concepts of integrated coronary physiology in the catheterization laboratory. J Am Coll Cardiol 2010; 55: 173–185. 7. Morris PD, Ryan D, Morton AC, Lycett R, Lawford PV, Hose DR, et al. Virtual fractional flow reserve from coronary angiography: Modeling the significance of coronary lesions: Results from the VIRTU-1 (VIRTUal Fractional Flow Reserve From Coronary Angiography) study. JACC Cardiovasc Interv 2013; 6: 149–157. 10. Papafaklis MI, Muramatsu T, Ishibashi Y, Lakkas LS, Nakatani S, Bourantas CV, et al. Fast virtual functional assessment of intermediate coronary lesions using routine angiographic data and blood flow simulation in humans: Comparison with pressure wire: Fractional flow reserve. EuroIntervention 2014; 10: 574–583. 11 12 13 14 15 16 17 1 2 3 4 5 6 7 8 9 10 |
| References_xml | – reference: 3. van Nunen LX, Zimmermann FM, Tonino PAL, Barbato E, Baumbach A, Engstrøm T, et al. Fractional flow reserve versus angiography for guidance of PCI in patients with multivessel coronary artery disease (FAME): 5-year follow-up of a randomised controlled trial. Lancet 2015; 386: 1853–1860. – reference: 8. Morris PD, van de Vosse FN, Lawford PV, Hose DR, Gunn JP. “Virtual” (computed) fractional flow reserve: Current challenges and limitations. JACC Cardiovasc Interv 2015; 8: 1009–1017. – reference: 12. Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, et al. Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. J Am Coll Cardiol 2011; 58: 1989–1997. – reference: 6. Pijls NHJ. Fractional flow reserve to guide coronary revascularization. Circ J 2013; 77: 561–569. – reference: 2. Tonino PAL, De Bruyne B, Pijls NHJ, Siebert U, Ikeno F, van’t Veer M, et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med 2009; 360: 213–224. – reference: 14. Nakazato R, Park HB, Berman DS, Gransar H, Koo BK, Erglis A, et al. Noninvasive fractional flow reserve derived from computed tomography angiography for coronary lesions of intermediate stenosis severity: Results from the DeFACTO study. Circ Cardiovasc Imaging 2013; 6: 881–889. – reference: 16. De Bruyne B, Paulus WJ, Pijls NHJ. Rationale and application of coronary transstenotic pressure gradient measurements. Cathet Cardiovasc Diagn 1994; 33: 250–261. – reference: 9. Norgaard BL, Leipsic J, Gaur S, Seneviratne S, Ko BS, Ito H, et al. Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: The NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). J Am Coll Cardiol 2014; 63: 1145–1155. – reference: 5. Pijls NH, van Schaardenburgh P, Manoharan G, Boersma E, Bech JW, van’t Veer M, et al. Percutaneous coronary intervention of functionally nonsignificant stenosis: 5-year follow-up of the DEFER Study. J Am Coll Cardiol 2007; 49: 2105–2111. – reference: 10. Papafaklis MI, Muramatsu T, Ishibashi Y, Lakkas LS, Nakatani S, Bourantas CV, et al. Fast virtual functional assessment of intermediate coronary lesions using routine angiographic data and blood flow simulation in humans: Comparison with pressure wire: Fractional flow reserve. EuroIntervention 2014; 10: 574–583. – reference: 7. Morris PD, Ryan D, Morton AC, Lycett R, Lawford PV, Hose DR, et al. Virtual fractional flow reserve from coronary angiography: Modeling the significance of coronary lesions: Results from the VIRTU-1 (VIRTUal Fractional Flow Reserve From Coronary Angiography) study. JACC Cardiovasc Interv 2013; 6: 149–157. – reference: 13. Min JK, Leipsic J, Pencina MJ, Berman DS, Koo BK, van Mieghem C, et al. Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA 2012; 308: 1237–1245. – reference: 15. Tu S, Westra J, Yang J, von Birgelen C, Ferrara A, Pellicano M, et al. Diagnostic accuracy of fast computational approaches to derive fractional flow reserve from diagnostic coronary angiography: The International Multicenter FAVOR Pilot Study. JACC Cardiovasc Interv 2016; 9: 2024–2035. – reference: 11. Tu S, Barbato E, Koszegi Z, Yang J, Sun Z, Holm NR, et al. Fractional flow reserve calculation from 3-dimensional quantitative coronary angiography and TIMI frame count: A fast computer model to quantify the functional significance of moderately obstructed coronary arteries. JACC Cardiovasc Interv 2014; 7: 768–777. – reference: 17. Kirkeeide RL. Coronary obstructions, morphology and physiologic significance. In: Reiber JHC, Serruys PW, editors. Quantitative coronary arteriography. Dordrecht: Springer Netherlands, 1991; 229 – 244. – reference: 1. Kern MJ, Samady H. Current concepts of integrated coronary physiology in the catheterization laboratory. J Am Coll Cardiol 2010; 55: 173–185. – reference: 4. Fihn SD, Blankenship JC, Alexander KP, Bittl JA, Byrne JG, Fletcher BJ, et al. 2014 ACC/AHA/AATS/PCNA/SCAI/STS focused update of the guideline for the diagnosis and management of patients with stable ischemic heart disease: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines, and the American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J Am Coll Cardiol 2014; 64: 1929–1949. – ident: 9 doi: 10.1016/j.jacc.2013.11.043 – ident: 2 doi: 10.1056/NEJMoa0807611 – ident: 12 doi: 10.1016/j.jacc.2011.06.066 – ident: 5 doi: 10.1016/j.jacc.2007.01.087 – ident: 11 doi: 10.1016/j.jcin.2014.03.004 – ident: 13 doi: 10.1001/2012.jama.11274 – ident: 8 doi: 10.1016/j.jcin.2015.04.006 – ident: 15 doi: 10.1016/j.jcin.2016.07.013 – ident: 17 doi: 10.1007/978-94-011-3726-3_11 – ident: 6 doi: 10.1253/circj.CJ-13-0161 – ident: 7 doi: 10.1016/j.jcin.2012.08.024 – ident: 16 doi: 10.1002/ccd.1810330312 – ident: 10 doi: 10.4244/EIJY14M07_01 – ident: 3 doi: 10.1016/S0140-6736(15)00057-4 – ident: 4 doi: 10.1016/j.jacc.2014.07.017 – ident: 1 doi: 10.1016/j.jacc.2009.06.062 – ident: 14 doi: 10.1161/CIRCIMAGING.113.000297 |
| SSID | ssj0029059 |
| Score | 2.4069633 |
| Snippet | Background:Quantitative flow ratio (QFR) is a newly developed image-based index for estimating fractional flow reserve (FFR).Methods and Results:We analyzed... Quantitative flow ratio (QFR) is a newly developed image-based index for estimating fractional flow reserve (FFR).Methods and Results:We analyzed 151 coronary... Quantitative flow ratio (QFR) is a newly developed image-based index for estimating fractional flow reserve (FFR).BACKGROUNDQuantitative flow ratio (QFR) is a... |
| SourceID | unpaywall proquest pubmed crossref jstage |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 988 |
| SubjectTerms | 3-dimensional quantitative coronary angiography Aged Aged, 80 and over Blood Flow Velocity Computed Tomography Angiography - methods Coronary Angiography - methods Coronary Stenosis - diagnostic imaging Coronary Stenosis - physiopathology Female Fractional flow reserve Humans Imaging, Three-Dimensional - methods Male Middle Aged Myocardial ischemia Quantitative flow ratio Retrospective Studies Software |
| Title | Applicability of 3-Dimensional Quantitative Coronary Angiography-Derived Computed Fractional Flow Reserve for Intermediate Coronary Stenosis |
| URI | https://www.jstage.jst.go.jp/article/circj/81/7/81_CJ-16-1261/_article/-char/en https://www.ncbi.nlm.nih.gov/pubmed/28331135 https://www.proquest.com/docview/1880466725 https://www.jstage.jst.go.jp/article/circj/81/7/81_CJ-16-1261/_pdf |
| UnpaywallVersion | publishedVersion |
| Volume | 81 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| ispartofPNX | Circulation Journal, 2017/06/23, Vol.81(7), pp.988-992 |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1347-4820 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0029059 issn: 1347-4820 databaseCode: KQ8 dateStart: 20020101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVBFR databaseName: Free Medical Journals customDbUrl: eissn: 1347-4820 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0029059 issn: 1347-4820 databaseCode: DIK dateStart: 20020101 isFulltext: true titleUrlDefault: http://www.freemedicaljournals.com providerName: Flying Publisher – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 1347-4820 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0029059 issn: 1347-4820 databaseCode: GX1 dateStart: 0 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lj9MwELbYLuJx4L1QHisjcQHJSZyHk5xQ1aWsVtoVCCqVU2RPk9JulVbZhFX5DfxoxrFTCgIkhFS1h844sWdsf4lnviHkhcA9KQAlGceFj4XSy5mSqc9yxEboLkpGqc5GPj0Tx-PwZBJNdnJhdFjlAnHRLNc_zmzlLNauHUQX5hUs3IS7MX5lwxPGdQ0Zwd1sPS32yL6IEI_3yP747N3gU_ukFQqWJibKPghjFuJ-Z88q_Sgw7Tmw6Nr5aW-6am7jd8jzJrnelGu5uZTL5c5uNLpNoOuHCUI5d5paOfD1F4rH_-voHXLLglU6MPJ3yZW8vEeundrj-Pvk28Acf7cBthu6KmjAjnS5AEP1Qd83smyT2HBJpUPNlSCrDR2Us7klymZHOAG-5FNqi0tM6agymRaoPVquLqmODKxQG7E1bd9etqku9U5zH2rNdz6_eEDGozcfh8fMlndgIHy_ZkkBkZIxKLQQyCKSAIXyIfVAebFQPAEuVaJUCoh6QkigkIkXx8U0iFM_KdLggPTKVZk_IlQkU66pycIwlSHqSlXkkdDxPuCB70V94naGzcByn-sSHMtMPwOhK2TtiONIZ1xkeqT75OVWY214P_4i-9pYcitp7Wgl0YRx1tqx0_gh8FlWuD71yfPOyTKc3vrMRpb5qrnINF1eKETsYx8eGu_bXgWRYcB5gP-82rrjH24WP_bSj_9F-Am54WsY075yekp6ddXkzxCE1eqQ7L2d8EM7174DD8o0sQ |
| linkProvider | Unpaywall |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lj9MwELagi3gceC27lJeMxAUkJ3EeTnJCVZdqtdKuQFBpOUX2JCktVVJlE1blN_CjGcduKQiQEFLVHjrjxJ6x_SWe-YaQFwL3pACUZBwXPhZKr2BKpj4rEBuhuygZpTob-fRMHE_Dk_PofCcXRodVLhAXzQr948xqZ7Fy7SC6MG9g4SbcjfErG58wrmvICO5mq7y8SvZEhHh8QPamZ29HH_snrVCwNDFR9kEYsxD3O3tW6UeBac-Bxaadn_ama-Y2foc8b5EbXbWS60u5XO7sRpM7BDb9MEEon52uVQ58_YXi8f86epfctmCVjoz8PXKlqO6T66f2OH6ffBuZ4-8-wHZN65IG7EiXCzBUH_RdJ6s-iQ2XVDrWXAmyWdNRNZtbomx2hBPgS5FTW1wip5PGZFqg9mRZX1IdGdigNmJr2r-97FNd2p3m3rea73x-8YBMJ28-jI-ZLe_AQPh-y5ISIiVjUGghkGUkAUrlQ-qB8mKheAJcqkSpFBD1hJBAKRMvjss8iFM_KdPggAyquioeEiqSnGtqsjBMZYi6UpVFJHS8D3jge9GQuBvDZmC5z3UJjmWmn4HQFbJ-xHGkMy4yPdJD8nKrsTK8H3-RfW0suZW0drSSaMI46-240fgh8Ek2uD4NyfONk2U4vfWZjayKurvINF1eKETsYx8Ojfdtr4LIMOA8wH9ebd3xDzeLH3vpR_8i_Jjc9DWM6V85PSGDtumKpwjCWvXMzrLv2U4zwA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Applicability+of+3-Dimensional+Quantitative+Coronary+Angiography-Derived+Computed+Fractional+Flow+Reserve+for+Intermediate+Coronary+Stenosis&rft.jtitle=Circulation+Journal&rft.au=Enta%2C+Kenji&rft.au=Kataoka%2C+Shohei&rft.au=Kumagai%2C+Asako&rft.au=Kahata%2C+Mitsuru&rft.date=2017&rft.pub=The+Japanese+Circulation+Society&rft.issn=1346-9843&rft.eissn=1347-4820&rft.volume=81&rft.issue=7&rft.spage=988&rft.epage=992&rft_id=info:doi/10.1253%2Fcircj.CJ-16-1261&rft.externalDocID=article_circj_81_7_81_CJ_16_1261_article_char_en |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1346-9843&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1346-9843&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1346-9843&client=summon |