Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events
Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which ste...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kato, Etsuro [verfasserIn] Fujimoto, Shinichiro [verfasserIn] Kumamaru, Kanako K. [verfasserIn] Kawaguchi, Yuko O. [verfasserIn] Dohi, Tomotaka [verfasserIn] Aoshima, Chihiro [verfasserIn] Kamo, Yuki [verfasserIn] Takamura, Kazuhisa [verfasserIn] Kato, Yoshiteru [verfasserIn] Hiki, Makoto [verfasserIn] Okai, Iwao [verfasserIn] Okazaki, Shinya [verfasserIn] Aoki, Shigeki [verfasserIn] Daida, Hiroyuki [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Heart and vessels - Tokyo : Springer, 1985, 35(2019), 2 vom: 07. Aug., Seite 162-169 |
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| Übergeordnetes Werk: |
volume:35 ; year:2019 ; number:2 ; day:07 ; month:08 ; pages:162-169 |
| Links: |
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| DOI / URN: |
10.1007/s00380-019-01480-4 |
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| Katalog-ID: |
SPR004569156 |
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| 245 | 1 | 0 | |a Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events |
| 264 | 1 | |c 2019 | |
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| 520 | |a Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low. | ||
| 650 | 4 | |a Coronary CT angiography |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Fractional flow reserve |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Fluid–structure interaction |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Minimize 1-year cardiac events |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Optimal cut-off value |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Fujimoto, Shinichiro |e verfasserin |4 aut | |
| 700 | 1 | |a Kumamaru, Kanako K. |e verfasserin |4 aut | |
| 700 | 1 | |a Kawaguchi, Yuko O. |e verfasserin |4 aut | |
| 700 | 1 | |a Dohi, Tomotaka |e verfasserin |4 aut | |
| 700 | 1 | |a Aoshima, Chihiro |e verfasserin |4 aut | |
| 700 | 1 | |a Kamo, Yuki |e verfasserin |4 aut | |
| 700 | 1 | |a Takamura, Kazuhisa |e verfasserin |4 aut | |
| 700 | 1 | |a Kato, Yoshiteru |e verfasserin |4 aut | |
| 700 | 1 | |a Hiki, Makoto |e verfasserin |4 aut | |
| 700 | 1 | |a Okai, Iwao |e verfasserin |4 aut | |
| 700 | 1 | |a Okazaki, Shinya |e verfasserin |4 aut | |
| 700 | 1 | |a Aoki, Shigeki |e verfasserin |4 aut | |
| 700 | 1 | |a Daida, Hiroyuki |e verfasserin |4 aut | |
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10.1007/s00380-019-01480-4 doi (DE-627)SPR004569156 (SPR)s00380-019-01480-4-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.85 bkl Kato, Etsuro verfasserin aut Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low. Coronary CT angiography (dpeaa)DE-He213 Fractional flow reserve (dpeaa)DE-He213 Fluid–structure interaction (dpeaa)DE-He213 Minimize 1-year cardiac events (dpeaa)DE-He213 Optimal cut-off value (dpeaa)DE-He213 Fujimoto, Shinichiro verfasserin aut Kumamaru, Kanako K. verfasserin aut Kawaguchi, Yuko O. verfasserin aut Dohi, Tomotaka verfasserin aut Aoshima, Chihiro verfasserin aut Kamo, Yuki verfasserin aut Takamura, Kazuhisa verfasserin aut Kato, Yoshiteru verfasserin aut Hiki, Makoto verfasserin aut Okai, Iwao verfasserin aut Okazaki, Shinya verfasserin aut Aoki, Shigeki verfasserin aut Daida, Hiroyuki verfasserin aut Enthalten in Heart and vessels Tokyo : Springer, 1985 35(2019), 2 vom: 07. Aug., Seite 162-169 (DE-627)300183879 (DE-600)1481441-9 1615-2573 nnns volume:35 year:2019 number:2 day:07 month:08 pages:162-169 https://dx.doi.org/10.1007/s00380-019-01480-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE AR 35 2019 2 07 08 162-169 |
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10.1007/s00380-019-01480-4 doi (DE-627)SPR004569156 (SPR)s00380-019-01480-4-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.85 bkl Kato, Etsuro verfasserin aut Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low. Coronary CT angiography (dpeaa)DE-He213 Fractional flow reserve (dpeaa)DE-He213 Fluid–structure interaction (dpeaa)DE-He213 Minimize 1-year cardiac events (dpeaa)DE-He213 Optimal cut-off value (dpeaa)DE-He213 Fujimoto, Shinichiro verfasserin aut Kumamaru, Kanako K. verfasserin aut Kawaguchi, Yuko O. verfasserin aut Dohi, Tomotaka verfasserin aut Aoshima, Chihiro verfasserin aut Kamo, Yuki verfasserin aut Takamura, Kazuhisa verfasserin aut Kato, Yoshiteru verfasserin aut Hiki, Makoto verfasserin aut Okai, Iwao verfasserin aut Okazaki, Shinya verfasserin aut Aoki, Shigeki verfasserin aut Daida, Hiroyuki verfasserin aut Enthalten in Heart and vessels Tokyo : Springer, 1985 35(2019), 2 vom: 07. Aug., Seite 162-169 (DE-627)300183879 (DE-600)1481441-9 1615-2573 nnns volume:35 year:2019 number:2 day:07 month:08 pages:162-169 https://dx.doi.org/10.1007/s00380-019-01480-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE AR 35 2019 2 07 08 162-169 |
| allfields_unstemmed |
10.1007/s00380-019-01480-4 doi (DE-627)SPR004569156 (SPR)s00380-019-01480-4-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.85 bkl Kato, Etsuro verfasserin aut Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low. Coronary CT angiography (dpeaa)DE-He213 Fractional flow reserve (dpeaa)DE-He213 Fluid–structure interaction (dpeaa)DE-He213 Minimize 1-year cardiac events (dpeaa)DE-He213 Optimal cut-off value (dpeaa)DE-He213 Fujimoto, Shinichiro verfasserin aut Kumamaru, Kanako K. verfasserin aut Kawaguchi, Yuko O. verfasserin aut Dohi, Tomotaka verfasserin aut Aoshima, Chihiro verfasserin aut Kamo, Yuki verfasserin aut Takamura, Kazuhisa verfasserin aut Kato, Yoshiteru verfasserin aut Hiki, Makoto verfasserin aut Okai, Iwao verfasserin aut Okazaki, Shinya verfasserin aut Aoki, Shigeki verfasserin aut Daida, Hiroyuki verfasserin aut Enthalten in Heart and vessels Tokyo : Springer, 1985 35(2019), 2 vom: 07. Aug., Seite 162-169 (DE-627)300183879 (DE-600)1481441-9 1615-2573 nnns volume:35 year:2019 number:2 day:07 month:08 pages:162-169 https://dx.doi.org/10.1007/s00380-019-01480-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE AR 35 2019 2 07 08 162-169 |
| allfieldsGer |
10.1007/s00380-019-01480-4 doi (DE-627)SPR004569156 (SPR)s00380-019-01480-4-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.85 bkl Kato, Etsuro verfasserin aut Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low. Coronary CT angiography (dpeaa)DE-He213 Fractional flow reserve (dpeaa)DE-He213 Fluid–structure interaction (dpeaa)DE-He213 Minimize 1-year cardiac events (dpeaa)DE-He213 Optimal cut-off value (dpeaa)DE-He213 Fujimoto, Shinichiro verfasserin aut Kumamaru, Kanako K. verfasserin aut Kawaguchi, Yuko O. verfasserin aut Dohi, Tomotaka verfasserin aut Aoshima, Chihiro verfasserin aut Kamo, Yuki verfasserin aut Takamura, Kazuhisa verfasserin aut Kato, Yoshiteru verfasserin aut Hiki, Makoto verfasserin aut Okai, Iwao verfasserin aut Okazaki, Shinya verfasserin aut Aoki, Shigeki verfasserin aut Daida, Hiroyuki verfasserin aut Enthalten in Heart and vessels Tokyo : Springer, 1985 35(2019), 2 vom: 07. Aug., Seite 162-169 (DE-627)300183879 (DE-600)1481441-9 1615-2573 nnns volume:35 year:2019 number:2 day:07 month:08 pages:162-169 https://dx.doi.org/10.1007/s00380-019-01480-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE AR 35 2019 2 07 08 162-169 |
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10.1007/s00380-019-01480-4 doi (DE-627)SPR004569156 (SPR)s00380-019-01480-4-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.85 bkl Kato, Etsuro verfasserin aut Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low. Coronary CT angiography (dpeaa)DE-He213 Fractional flow reserve (dpeaa)DE-He213 Fluid–structure interaction (dpeaa)DE-He213 Minimize 1-year cardiac events (dpeaa)DE-He213 Optimal cut-off value (dpeaa)DE-He213 Fujimoto, Shinichiro verfasserin aut Kumamaru, Kanako K. verfasserin aut Kawaguchi, Yuko O. verfasserin aut Dohi, Tomotaka verfasserin aut Aoshima, Chihiro verfasserin aut Kamo, Yuki verfasserin aut Takamura, Kazuhisa verfasserin aut Kato, Yoshiteru verfasserin aut Hiki, Makoto verfasserin aut Okai, Iwao verfasserin aut Okazaki, Shinya verfasserin aut Aoki, Shigeki verfasserin aut Daida, Hiroyuki verfasserin aut Enthalten in Heart and vessels Tokyo : Springer, 1985 35(2019), 2 vom: 07. Aug., Seite 162-169 (DE-627)300183879 (DE-600)1481441-9 1615-2573 nnns volume:35 year:2019 number:2 day:07 month:08 pages:162-169 https://dx.doi.org/10.1007/s00380-019-01480-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE AR 35 2019 2 07 08 162-169 |
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Enthalten in Heart and vessels 35(2019), 2 vom: 07. Aug., Seite 162-169 volume:35 year:2019 number:2 day:07 month:08 pages:162-169 |
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Enthalten in Heart and vessels 35(2019), 2 vom: 07. Aug., Seite 162-169 volume:35 year:2019 number:2 day:07 month:08 pages:162-169 |
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Coronary CT angiography Fractional flow reserve Fluid–structure interaction Minimize 1-year cardiac events Optimal cut-off value |
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Heart and vessels |
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Kato, Etsuro @@aut@@ Fujimoto, Shinichiro @@aut@@ Kumamaru, Kanako K. @@aut@@ Kawaguchi, Yuko O. @@aut@@ Dohi, Tomotaka @@aut@@ Aoshima, Chihiro @@aut@@ Kamo, Yuki @@aut@@ Takamura, Kazuhisa @@aut@@ Kato, Yoshiteru @@aut@@ Hiki, Makoto @@aut@@ Okai, Iwao @@aut@@ Okazaki, Shinya @@aut@@ Aoki, Shigeki @@aut@@ Daida, Hiroyuki @@aut@@ |
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2019-08-07T00:00:00Z |
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300183879 |
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3610 |
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SPR004569156 |
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englisch |
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|
| author |
Kato, Etsuro |
| spellingShingle |
Kato, Etsuro ddc 610 bkl 44.85 misc Coronary CT angiography misc Fractional flow reserve misc Fluid–structure interaction misc Minimize 1-year cardiac events misc Optimal cut-off value Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events |
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Kato, Etsuro |
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electronic Article |
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610 - Medicine & health |
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1615-2573 |
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610 ASE 44.85 bkl Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events Coronary CT angiography (dpeaa)DE-He213 Fractional flow reserve (dpeaa)DE-He213 Fluid–structure interaction (dpeaa)DE-He213 Minimize 1-year cardiac events (dpeaa)DE-He213 Optimal cut-off value (dpeaa)DE-He213 |
| topic |
ddc 610 bkl 44.85 misc Coronary CT angiography misc Fractional flow reserve misc Fluid–structure interaction misc Minimize 1-year cardiac events misc Optimal cut-off value |
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ddc 610 bkl 44.85 misc Coronary CT angiography misc Fractional flow reserve misc Fluid–structure interaction misc Minimize 1-year cardiac events misc Optimal cut-off value |
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ddc 610 bkl 44.85 misc Coronary CT angiography misc Fractional flow reserve misc Fluid–structure interaction misc Minimize 1-year cardiac events misc Optimal cut-off value |
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Heart and vessels |
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Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events |
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(DE-627)SPR004569156 (SPR)s00380-019-01480-4-e |
| title_full |
Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events |
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Kato, Etsuro |
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Heart and vessels |
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Heart and vessels |
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eng |
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600 - Technology |
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Kato, Etsuro Fujimoto, Shinichiro Kumamaru, Kanako K. Kawaguchi, Yuko O. Dohi, Tomotaka Aoshima, Chihiro Kamo, Yuki Takamura, Kazuhisa Kato, Yoshiteru Hiki, Makoto Okai, Iwao Okazaki, Shinya Aoki, Shigeki Daida, Hiroyuki |
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35 |
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610 ASE 44.85 bkl |
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Elektronische Aufsätze |
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Kato, Etsuro |
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10.1007/s00380-019-01480-4 |
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610 |
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verfasserin |
| title_sort |
adjustment of ct-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events |
| title_auth |
Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events |
| abstract |
Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low. |
| abstractGer |
Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low. |
| abstract_unstemmed |
Abstract The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low. |
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Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events |
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https://dx.doi.org/10.1007/s00380-019-01480-4 |
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Fujimoto, Shinichiro Kumamaru, Kanako K. Kawaguchi, Yuko O. Dohi, Tomotaka Aoshima, Chihiro Kamo, Yuki Takamura, Kazuhisa Kato, Yoshiteru Hiki, Makoto Okai, Iwao Okazaki, Shinya Aoki, Shigeki Daida, Hiroyuki |
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Fujimoto, Shinichiro Kumamaru, Kanako K. Kawaguchi, Yuko O. Dohi, Tomotaka Aoshima, Chihiro Kamo, Yuki Takamura, Kazuhisa Kato, Yoshiteru Hiki, Makoto Okai, Iwao Okazaki, Shinya Aoki, Shigeki Daida, Hiroyuki |
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10.1007/s00380-019-01480-4 |
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2024-07-04T01:40:13.424Z |
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|
| score |
7.40178 |