Optimal diagnostic approach for using CT-derived quantitative flow ratio in patients with stenosis on coronary computed tomography angiography
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved..
BACKGROUND: Coronary computed tomography angiography (CCTA)-derived quantitative flow ratio (CT-QFR) is an on-site non-invasive technique estimating invasive fractional flow reserve (FFR). This study assesses the diagnostic performance of using most distal CT-QFR versus lesion-specific CT-QFR approach for identifying hemodynamically obstructive coronary artery disease (CAD).
METHODS: Prospectively enrolled de novo chest pain patients (n = 445) with ≥50 % visual diameter stenosis on CCTA were referred for invasive evaluation. On-site CT-QFR was analyzed post-hoc blinded to angiographic data and obtained as both most distal (MD-QFR) and lesion-specific CT-QFR (LS-QFR). Abnormal CT-QFR was defined as ≤0.80. Hemodynamically obstructive CAD was defined as invasive FFR ≤0.80 or ≥70 % diameter stenosis by 3D-quantitative coronary angiography.
RESULTS: In total 404/445 patients had paired CT-QFR and invasive analyses of whom 149/404 (37 %) had hemodynamically obstructive CAD. MD-QFR and LS-QFR classified 188 (47 %) and 165 (41 %) patients as abnormal, respectively. Areas under the receiver-operating characteristic curve for MD-QFR was 0.83 vs. 0.85 for LS-QFR, p = 0.01. Sensitivities for MD-QFR and LS-QFR were 80 % (95%CI: 73-86) vs. 77 % (95%CI: 69-83), p = 0.03, respectively, and specificities were 73 % (95%CI: 67-78) vs. 80 % (95%CI: 75-85), p < 0.01, respectively. Positive predictive values for MD-QFR and LS-QFR were 63 % vs. 69 %, p < 0.01, respectively, and negative predictive values for MD-QFR and LS-QFR were 86 % vs. 85 %, p = 0.39, respectively).
CONCLUSION: Using a lesion-specific CT-QFR approach has superior discrimination of hemodynamically obstructive CAD compared to a most distal CT-QFR approach. CT-QFR identified most cases of hemodynamically obstructive CAD while a normal CT-QFR excluded hemodynamically obstructive CAD in the majority of patients.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2024 |
---|---|
Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:18 |
---|---|
Enthalten in: |
Journal of cardiovascular computed tomography - 18(2024), 2 vom: 08. März, Seite 162-169 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Dahl, Jonathan N [VerfasserIn] |
---|
Links: |
---|
Anmerkungen: |
Date Completed 11.03.2024 Date Revised 11.03.2024 published: Print-Electronic Citation Status MEDLINE |
---|
doi: |
10.1016/j.jcct.2024.01.004 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM367332728 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLM367332728 | ||
003 | DE-627 | ||
005 | 20240311232127.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240120s2024 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.jcct.2024.01.004 |2 doi | |
028 | 5 | 2 | |a pubmed24n1323.xml |
035 | |a (DE-627)NLM367332728 | ||
035 | |a (NLM)38242777 | ||
035 | |a (PII)S1934-5925(24)00015-7 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Dahl, Jonathan N |e verfasserin |4 aut | |
245 | 1 | 0 | |a Optimal diagnostic approach for using CT-derived quantitative flow ratio in patients with stenosis on coronary computed tomography angiography |
264 | 1 | |c 2024 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 11.03.2024 | ||
500 | |a Date Revised 11.03.2024 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved. | ||
520 | |a BACKGROUND: Coronary computed tomography angiography (CCTA)-derived quantitative flow ratio (CT-QFR) is an on-site non-invasive technique estimating invasive fractional flow reserve (FFR). This study assesses the diagnostic performance of using most distal CT-QFR versus lesion-specific CT-QFR approach for identifying hemodynamically obstructive coronary artery disease (CAD) | ||
520 | |a METHODS: Prospectively enrolled de novo chest pain patients (n = 445) with ≥50 % visual diameter stenosis on CCTA were referred for invasive evaluation. On-site CT-QFR was analyzed post-hoc blinded to angiographic data and obtained as both most distal (MD-QFR) and lesion-specific CT-QFR (LS-QFR). Abnormal CT-QFR was defined as ≤0.80. Hemodynamically obstructive CAD was defined as invasive FFR ≤0.80 or ≥70 % diameter stenosis by 3D-quantitative coronary angiography | ||
520 | |a RESULTS: In total 404/445 patients had paired CT-QFR and invasive analyses of whom 149/404 (37 %) had hemodynamically obstructive CAD. MD-QFR and LS-QFR classified 188 (47 %) and 165 (41 %) patients as abnormal, respectively. Areas under the receiver-operating characteristic curve for MD-QFR was 0.83 vs. 0.85 for LS-QFR, p = 0.01. Sensitivities for MD-QFR and LS-QFR were 80 % (95%CI: 73-86) vs. 77 % (95%CI: 69-83), p = 0.03, respectively, and specificities were 73 % (95%CI: 67-78) vs. 80 % (95%CI: 75-85), p < 0.01, respectively. Positive predictive values for MD-QFR and LS-QFR were 63 % vs. 69 %, p < 0.01, respectively, and negative predictive values for MD-QFR and LS-QFR were 86 % vs. 85 %, p = 0.39, respectively) | ||
520 | |a CONCLUSION: Using a lesion-specific CT-QFR approach has superior discrimination of hemodynamically obstructive CAD compared to a most distal CT-QFR approach. CT-QFR identified most cases of hemodynamically obstructive CAD while a normal CT-QFR excluded hemodynamically obstructive CAD in the majority of patients | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Computed tomography derived quantitative flow reserve | |
650 | 4 | |a Coronary artery disease | |
650 | 4 | |a Coronary computed tomography angiography | |
650 | 4 | |a Fractional flow reserve | |
650 | 4 | |a Non-invasive cardiac imaging | |
650 | 4 | |a Quantitative coronary analysis | |
700 | 1 | |a Rasmussen, Laust D |e verfasserin |4 aut | |
700 | 1 | |a Ding, Daixin |e verfasserin |4 aut | |
700 | 1 | |a Tu, Shengxian |e verfasserin |4 aut | |
700 | 1 | |a Westra, Jelmer |e verfasserin |4 aut | |
700 | 1 | |a Wijns, William |e verfasserin |4 aut | |
700 | 1 | |a Christiansen, Evald Høj |e verfasserin |4 aut | |
700 | 1 | |a Eftekhari, Ashkan |e verfasserin |4 aut | |
700 | 1 | |a Li, Guanyu |e verfasserin |4 aut | |
700 | 1 | |a Winther, Simon |e verfasserin |4 aut | |
700 | 1 | |a Bøttcher, Morten |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Journal of cardiovascular computed tomography |d 2007 |g 18(2024), 2 vom: 08. März, Seite 162-169 |w (DE-627)NLM185187404 |x 1876-861X |7 nnns |
773 | 1 | 8 | |g volume:18 |g year:2024 |g number:2 |g day:08 |g month:03 |g pages:162-169 |
856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.jcct.2024.01.004 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 18 |j 2024 |e 2 |b 08 |c 03 |h 162-169 |