1
|
Hoshino M, Jukema RA, Pijls N, Hoek R, Raijmakers P, Driessen R, van Diemen P, Twisk J, van der Hoef T, Danad I, Kakuta T, Knaapen P. Microvascular resistance reserve before and after PCI: A serial FFR and [ 15O] H 2O PET study. Atherosclerosis 2024:117555. [PMID: 38702268 DOI: 10.1016/j.atherosclerosis.2024.117555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/03/2024] [Accepted: 04/12/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND AND AIMS Microvascular Resistance Reserve (MRR) has recently been introduced as a microvasculature-specific index and hypothesized to be independent of coronary stenosis. The aim of this study was to investigate the change of MRR after percutaneous coronary intervention (PCI). METHODS In this post-hoc analysis from the PACIFC trials, symptomatic patients underwent [15O]H2O positron emission tomography (PET) and invasive fractional flow reserve (FFR) before and after revascularization. Coronary flow reserve (CFR) from PET and invasive FFR were used to calculate MRR. RESULTS Among 52 patients (87 % male, age 59.4 ± 9.4 years), 61 vessels with a median FFR of 0.71 (95 % confidence interval: 0.55 to 0.74) and a mean MRR of 3.80 ± 1.23 were included. Following PCI, FFR, hyperemic myocardial blood flow (hMBF) and CFR increased significantly (all p-values ≤0.001). MRR remained unchanged after PCI (3.80 ± 1.23 before PCI versus 3.60 ± 0.97 after PCI; p=0.23). In vessels with a pre-PCI, FFR ≤0.70 pre- and post-PCI MRR were 3.90 ± 1.30 and 3.73 ± 1.14 (p=0.56), respectively. Similar findings were observed for vessels with a FFR between 0.71 and 0.80 (pre-PCI MRR 3.70 ± 1.17 vs. post PCI MRR 3.48 ± 0.76, p=0.19). CONCLUSIONS Our study indicates that MRR, assessed using a hybrid approach of PET and invasive FFR, is independent of the severity of epicardial stenosis. These findings suggest that MRR is a microvasculature-specific parameter.
Collapse
Affiliation(s)
- Masahiro Hoshino
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands; Department of Cardiology, Tsuchiura Kyodo General Hospital, Japan
| | - Ruurt A Jukema
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Nico Pijls
- Department of Cardiology, Catharina Hospital, Eindhoven, the Netherlands
| | - Roel Hoek
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Pieter Raijmakers
- Radiology, Nuclear Medicine & PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Roel Driessen
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Pepijn van Diemen
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Jos Twisk
- Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Tim van der Hoef
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Ibrahim Danad
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands; Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Tsunekazu Kakuta
- Department of Cardiology, Tsuchiura Kyodo General Hospital, Japan
| | - Paul Knaapen
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands.
| |
Collapse
|
2
|
Somsen YBO, de Winter RW, Schumacher SP, van Veelen A, van Diemen PA, Jukema RA, Hoek R, Stuijfzand WJ, Danad I, Twisk JWR, Verouden NJ, Appelman Y, Nap A, Kleijn SA, Henriques JP, Knaapen P. Impact of sex on myocardial perfusion following percutaneous coronary intervention of chronic total coronary occlusions. Cardiovasc Revasc Med 2024:S1553-8389(24)00166-0. [PMID: 38658269 DOI: 10.1016/j.carrev.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 03/14/2024] [Accepted: 04/09/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVES We sought to investigate the impact of sex on myocardial perfusion changes following chronic total coronary occlusion (CTO) percutaneous coronary intervention (PCI) as measured by [15O]H2O positron-emission tomography (PET) perfusion imaging. BACKGROUND CTO PCI has been associated with an increase in myocardial perfusion, yet females are less likely to undergo revascularization. As such, data on the impact of sex on myocardial perfusion following CTO PCI is scarce. METHODS A total of 212 patients were prospectively enrolled and underwent CTO PCI combined with [15O]H2O PET perfusion imaging prior to and 3 months after PCI. Hyperemic myocardial blood flow (hMBF, mL·min-1·g-1) and coronary flow reserve (CFR) allocated to the CTO territory were quantitatively assessed. RESULTS This study comprised 34 (16 %) females and 178 (84 %) males. HMBF at baseline did not differ between sexes. Females showed a higher increase in hMBF than males (Δ1.34 ± 0.67 vs. Δ1.06 ± 0.74, p = 0.044), whereas post-PCI hMBF was comparable (2.59 ± 0.85 in females vs. 2.28 ± 0.84 in males, p = 0.052). Female sex was independently associated with a higher increase in hMBF after correction for clinical covariates. CFR increase after revascularization was similar in females and males (Δ1.47 ± 0.99 vs. Δ1.30 ± 1.14, p = 0.711). CONCLUSIONS The present study demonstrates a greater recovery of stress perfusion in females compared to males as measured by serial [15O]H2O PET imaging. In addition, a comparable increase in CFR was found in females and males. These results emphasize the benefit of performing CTO PCI in both sexes. CLINICAL PERSPECTIVE What is new? What are the clinical implications?
Collapse
Affiliation(s)
- Yvemarie B O Somsen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Stefan P Schumacher
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Anna van Veelen
- Department of Cardiology Amsterdam UMC, AMC, Amsterdam, the Netherlands.
| | - Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Roel Hoek
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Wynand J Stuijfzand
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Jos W R Twisk
- Department of Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Niels J Verouden
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Yolande Appelman
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Alexander Nap
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Sebastiaan A Kleijn
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - José P Henriques
- Department of Cardiology Amsterdam UMC, AMC, Amsterdam, the Netherlands.
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| |
Collapse
|
3
|
Nurmohamed NS, van Rosendael AR, Danad I, Ngo-Metzger Q, Taub PR, Ray KK, Figtree G, Bonaca MP, Hsia J, Rodriguez F, Sandhu AT, Nieman K, Earls JP, Hoffmann U, Bax JJ, Min JK, Maron DJ, Bhatt DL. Atherosclerosis evaluation and cardiovascular risk estimation using coronary computed tomography angiography. Eur Heart J 2024:ehae190. [PMID: 38606889 DOI: 10.1093/eurheartj/ehae190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 02/13/2024] [Accepted: 03/13/2024] [Indexed: 04/13/2024] Open
Abstract
Clinical risk scores based on traditional risk factors of atherosclerosis correlate imprecisely to an individual's complex pathophysiological predisposition to atherosclerosis and provide limited accuracy for predicting major adverse cardiovascular events (MACE). Over the past two decades, computed tomography scanners and techniques for coronary computed tomography angiography (CCTA) analysis have substantially improved, enabling more precise atherosclerotic plaque quantification and characterization. The accuracy of CCTA for quantifying stenosis and atherosclerosis has been validated in numerous multicentre studies and has shown consistent incremental prognostic value for MACE over the clinical risk spectrum in different populations. Serial CCTA studies have advanced our understanding of vascular biology and atherosclerotic disease progression. The direct disease visualization of CCTA has the potential to be used synergistically with indirect markers of risk to significantly improve prevention of MACE, pending large-scale randomized evaluation.
Collapse
Affiliation(s)
- Nick S Nurmohamed
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
| | | | - Ibrahim Danad
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Quyen Ngo-Metzger
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States
| | - Pam R Taub
- Section of Cardiology, Department of Medicine, University of California, San Diego, CA, United States
| | - Kausik K Ray
- Department of Primary Care and Public Health, Imperial College London, London, United Kingdom
| | - Gemma Figtree
- Faculty of Medicine and Health, University of Sydney, Australia, St Leonards, Australia
| | - Marc P Bonaca
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, United States
| | - Judith Hsia
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, United States
| | - Fatima Rodriguez
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Alexander T Sandhu
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Koen Nieman
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - James P Earls
- Cleerly, Inc., Denver, CO, United States
- Department of Radiology, The George Washington University School of Medicine, Washington, DC, United States
| | | | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - David J Maron
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Deepak L Bhatt
- Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, 1 Gustave Levy Place, Box 1030, New York, NY 10029, United States
| |
Collapse
|
4
|
Dahdal J, Bakker F, Svanerud J, Danad I, Driessen RS, Raijmakers PG, Harms HJ, Lammertsma AA, van de Hoef TP, Appelman Y, van Royen N, Knaapen P, de Waard GA. Validation of resting full-cycle ratio and diastolic pressure ratio with [ 15O]H 2O positron emission tomography myocardial perfusion. Heart Vessels 2024; 39:299-309. [PMID: 38367040 PMCID: PMC10920410 DOI: 10.1007/s00380-023-02356-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/18/2023] [Indexed: 02/19/2024]
Abstract
Fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) are invasive techniques used to evaluate the hemodynamic significance of coronary artery stenosis. These methods have been validated through perfusion imaging and clinical trials. New invasive pressure ratios that do not require hyperemia have recently emerged, and it is essential to confirm their diagnostic efficacy. The aim of this study was to validate the resting full-cycle ratio (RFR) and the diastolic pressure ratio (dPR), against [15O]H2O positron emission tomography (PET) imaging. A total of 129 symptomatic patients with an intermediate risk of coronary artery disease (CAD) were included. All patients underwent cardiac [15O]H2O PET with quantitative assessment of resting and hyperemic myocardial perfusion. Within a 2 week period, coronary angiography was performed. Intracoronary pressure measurements were obtained in 320 vessels and RFR, dPR, and FFR were computed. PET derived regional hyperemic myocardial blood flow (hMBF) and myocardial perfusion reserve (MPR) served as reference standards. In coronary arteries with stenoses (43%, 136 of 320), the overall diagnostic accuracies of RFR, dPR, and FFR did not differ when PET hyperemic MBF < 2.3 ml min-1 (69.9%, 70.6%, and 77.1%, respectively) and PET MPR < 2.5 (70.6%, 71.3%, and 66.9%, respectively) were considered as the reference for myocardial ischemia. Non-significant differences between the areas under the receiver operating characteristic (ROC) curve were found between the different indices. Furthermore, the integration of FFR with RFR (or dPR) does not enhance the diagnostic information already achieved by FFR in the characterization of ischemia via PET perfusion. In conclusion, the novel non-hyperemic pressure ratios, RFR and dPR, have a diagnostic performance comparable to FFR in assessing regional myocardial ischemia. These findings suggest that RFR and dPR may be considered as an FFR alternative for invasively guiding revascularization treatment in symptomatic patients with CAD.
Collapse
Affiliation(s)
- Jorge Dahdal
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Department of Cardiology, Hospital Del Salvador, Salvador 364, 7500922, Santiago, Chile
| | - Frank Bakker
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Johan Svanerud
- Coroventis Research AB, Ulls Väg 29A, 75651, Uppsala, Sweden
| | - Ibrahim Danad
- Utrecht University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Hendrik J Harms
- Clinical Institute, Aarhus University, Palle Juul-Jensens Blvd. 82, 8200, Aarhus, Denmark
| | - Adriaan A Lammertsma
- Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Tim P van de Hoef
- Utrecht University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Yolande Appelman
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Niels van Royen
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Guus A de Waard
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
| |
Collapse
|
5
|
Dobrolinska MM, Jukema RA, van Velzen SGM, van Diemen PA, Greuter MJW, Prakken NHJ, van der Werf NR, Raijmakers PG, Slart RHJA, Knaapen P, Isgum I, Danad I. The prognostic value of visual and automatic coronary calcium -scoring from low dose CT-[15O]-water PET. Eur Heart J Cardiovasc Imaging 2024:jeae081. [PMID: 38525588 DOI: 10.1093/ehjci/jeae081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 02/28/2024] [Accepted: 03/06/2024] [Indexed: 03/26/2024] Open
Abstract
PURPOSE Firstly, to validate automatically and visually scored coronary artery calcium (CAC) on low dose CT (LDCT) scans with a dedicated calcium scoring CT (CSCT) scan. Secondly, to assess the added value of CAC scored from LDCT scans acquired during [15O]-water-PET myocardial perfusion imaging (MPI) on prediction of major adverse cardiac events (MACE). METHODS 572 consecutive patients with suspected coronary artery disease, who underwent [15O]-water-PET MPI with LDCT and a dedicated CSCT scan were included. In the reference CSCT scans, manual CAC scoring was performed, while LDCT scans were scored visually and automatically using deep learning approach. Subsequently, based on CAC score results from CSCT and LDCT scans, each patient's scan was assigned to one out of five cardiovascular risk groups (0; 1-100; 101-400; 401-1000; >1000) and the agreement in risk group classification between CSCT and LDCT scans was investigated. MACE was defined as a composite of all-cause death, nonfatal myocardial infarction, coronary revascularization, and unstable angina. RESULTS The agreement in risk group classification between reference CSCT manual scoring and visual/automatic LDCT scoring from LDCT was 0.66 (95% CI: 0.62-0.70) and 0.58 (95% CI: 0.53-0.62), respectively. Based on visual and automatic CAC scoring from LDCT scans, patients with CAC>100 and CAC>400, respectively, were at increased risk of MACE, independently of ischemic information from the [15O]-water-PET scan. CONCLUSIONS There is a moderate agreement in risk classification between visual and automatic CAC scoring from LDCT and reference CSCT scans. Visual and automatic CAC scoring from LDCT scans improve identification of patients at higher risk of MACE.
Collapse
Affiliation(s)
- M M Dobrolinska
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB Groningen, The Netherlands
| | - R A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - S G M van Velzen
- Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, the Netherlands
- Informatics Institute, University of Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - P A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - M J W Greuter
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB Groningen, The Netherlands
- Department of Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics & Computer Science, University of Twente, P.O. Box 217, 7500 AE Enschede, Netherlands
| | - N H J Prakken
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB Groningen, The Netherlands
| | - N R van der Werf
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - P G Raijmakers
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117
| | - R H J A Slart
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB Groningen, The Netherlands
- Department of Biomedical Photonic Imaging, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
| | - P Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - I Isgum
- Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, the Netherlands
- Informatics Institute, University of Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, the Netherlands
| | - I Danad
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| |
Collapse
|
6
|
Nurmohamed NS, Danad I, Jukema RA, de Winter RW, de Groot RJ, Driessen RS, Bom MJ, van Diemen P, Pontone G, Andreini D, Chang HJ, Katz RJ, Stroes ESG, Wang H, Chan C, Crabtree T, Aquino M, Min JK, Earls JP, Bax JJ, Choi AD, Knaapen P, van Rosendael AR. Development and Validation of a Quantitative Coronary CT Angiography Model for Diagnosis of Vessel-Specific Coronary Ischemia. JACC Cardiovasc Imaging 2024:S1936-878X(24)00039-1. [PMID: 38483420 DOI: 10.1016/j.jcmg.2024.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 11/30/2023] [Accepted: 01/11/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND Noninvasive stress testing is commonly used for detection of coronary ischemia but possesses variable accuracy and may result in excessive health care costs. OBJECTIVES This study aimed to derive and validate an artificial intelligence-guided quantitative coronary computed tomography angiography (AI-QCT) model for the diagnosis of coronary ischemia that integrates atherosclerosis and vascular morphology measures (AI-QCTISCHEMIA) and to evaluate its prognostic utility for major adverse cardiovascular events (MACE). METHODS A post hoc analysis of the CREDENCE (Computed Tomographic Evaluation of Atherosclerotic Determinants of Myocardial Ischemia) and PACIFIC-1 (Comparison of Coronary Computed Tomography Angiography, Single Photon Emission Computed Tomography [SPECT], Positron Emission Tomography [PET], and Hybrid Imaging for Diagnosis of Ischemic Heart Disease Determined by Fractional Flow Reserve) studies was performed. In both studies, symptomatic patients with suspected stable coronary artery disease had prospectively undergone coronary computed tomography angiography (CTA), myocardial perfusion imaging (MPI), SPECT, or PET, fractional flow reserve by CT (FFRCT), and invasive coronary angiography in conjunction with invasive FFR measurements. The AI-QCTISCHEMIA model was developed in the derivation cohort of the CREDENCE study, and its diagnostic performance for coronary ischemia (FFR ≤0.80) was evaluated in the CREDENCE validation cohort and PACIFIC-1. Its prognostic value was investigated in PACIFIC-1. RESULTS In CREDENCE validation (n = 305, age 64.4 ± 9.8 years, 210 [69%] male), the diagnostic performance by area under the receiver-operating characteristics curve (AUC) on per-patient level was 0.80 (95% CI: 0.75-0.85) for AI-QCTISCHEMIA, 0.69 (95% CI: 0.63-0.74; P < 0.001) for FFRCT, and 0.65 (95% CI: 0.59-0.71; P < 0.001) for MPI. In PACIFIC-1 (n = 208, age 58.1 ± 8.7 years, 132 [63%] male), the AUCs were 0.85 (95% CI: 0.79-0.91) for AI-QCTISCHEMIA, 0.78 (95% CI: 0.72-0.84; P = 0.037) for FFRCT, 0.89 (95% CI: 0.84-0.93; P = 0.262) for PET, and 0.72 (95% CI: 0.67-0.78; P < 0.001) for SPECT. Adjusted for clinical risk factors and coronary CTA-determined obstructive stenosis, a positive AI-QCTISCHEMIA test was associated with an HR of 7.6 (95% CI: 1.2-47.0; P = 0.030) for MACE. CONCLUSIONS This newly developed coronary CTA-based ischemia model using coronary atherosclerosis and vascular morphology characteristics accurately diagnoses coronary ischemia by invasive FFR and provides robust prognostic utility for MACE beyond presence of stenosis.
Collapse
Affiliation(s)
- Nick S Nurmohamed
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA.
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Robin J de Groot
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Michiel J Bom
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pepijn van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Gianluca Pontone
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | - Daniele Andreini
- Division of University Cardiology, IRCCS Ospedale Galeazzi Sant'Ambrogio, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital and Severance Biomedical Science Institute, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Richard J Katz
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Erik S G Stroes
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Hao Wang
- Cleerly Inc, Denver, Colorado, USA
| | | | | | | | | | - James P Earls
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA; Cleerly Inc, Denver, Colorado, USA
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Andrew D Choi
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | |
Collapse
|
7
|
Nurmohamed NS, Bom MJ, Jukema RA, de Groot RJ, Driessen RS, van Diemen PA, de Winter RW, Gaillard EL, Sprengers RW, Stroes ESG, Min JK, Earls JP, Cardoso R, Blankstein R, Danad I, Choi AD, Knaapen P. AI-Guided Quantitative Plaque Staging Predicts Long-Term Cardiovascular Outcomes in Patients at Risk for Atherosclerotic CVD. JACC Cardiovasc Imaging 2024; 17:269-280. [PMID: 37480907 DOI: 10.1016/j.jcmg.2023.05.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 05/17/2023] [Accepted: 05/30/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND The recent development of artificial intelligence-guided quantitative coronary computed tomography angiography analysis (AI-QCT) has enabled rapid analysis of atherosclerotic plaque burden and characteristics. OBJECTIVES This study set out to investigate the 10-year prognostic value of atherosclerotic burden derived from AI-QCT and to compare the spectrum of plaque to manually assessed coronary computed tomography angiography (CCTA), coronary artery calcium scoring (CACS), and clinical risk characteristics. METHODS This was a long-term follow-up study of 536 patients referred for suspected coronary artery disease. CCTA scans were analyzed with AI-QCT and plaque burden was classified with a plaque staging system (stage 0: 0% percentage atheroma volume [PAV]; stage 1: >0%-5% PAV; stage 2: >5%-15% PAV; stage 3: >15% PAV). The primary major adverse cardiac event (MACE) outcome was a composite of nonfatal myocardial infarction, nonfatal stroke, coronary revascularization, and all-cause mortality. RESULTS The mean age at baseline was 58.6 years and 297 patients (55%) were male. During a median follow-up of 10.3 years (IQR: 8.6-11.5 years), 114 patients (21%) experienced the primary outcome. Compared to stages 0 and 1, patients with stage 3 PAV and percentage of noncalcified plaque volume of >7.5% had a more than 3-fold (adjusted HR: 3.57; 95% CI 2.12-6.00; P < 0.001) and 4-fold (adjusted HR: 4.37; 95% CI: 2.51-7.62; P < 0.001) increased risk of MACE, respectively. Addition of AI-QCT improved a model with clinical risk factors and CACS at different time points during follow-up (10-year AUC: 0.82 [95% CI: 0.78-0.87] vs 0.73 [95% CI: 0.68-0.79]; P < 0.001; net reclassification improvement: 0.21 [95% CI: 0.09-0.38]). Furthermore, AI-QCT achieved an improved area under the curve compared to Coronary Artery Disease Reporting and Data System 2.0 (10-year AUC: 0.78; 95% CI: 0.73-0.83; P = 0.023) and manual QCT (10-year AUC: 0.78; 95% CI: 0.73-0.83; P = 0.040), although net reclassification improvement was modest (0.09 [95% CI: -0.02 to 0.29] and 0.04 [95% CI: -0.05 to 0.27], respectively). CONCLUSIONS Through 10-year follow-up, AI-QCT plaque staging showed important prognostic value for MACE and showed additional discriminatory value over clinical risk factors, CACS, and manual guideline-recommended CCTA assessment.
Collapse
Affiliation(s)
- Nick S Nurmohamed
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Vascular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands; Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA. https://twitter.com/NickNurmohamed
| | - Michiel J Bom
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Robin J de Groot
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pepijn A van Diemen
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Emilie L Gaillard
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Vascular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Ralf W Sprengers
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Erik S G Stroes
- Department of Vascular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | | | - James P Earls
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA; Cleerly Inc, Denver, Colorado, USA
| | - Rhanderson Cardoso
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ron Blankstein
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Andrew D Choi
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA.
| | - Paul Knaapen
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| |
Collapse
|
8
|
de Winter RW, van Diemen PA, Schumacher SP, Jukema RA, Somsen YBO, Hoek R, van Rossum AC, Twisk JWR, de Waard GA, Nap A, Raijmakers PG, Driessen RS, Knaapen P, Danad I. Hemodynamic Insights into Combined Fractional Flow Reserve and Instantaneous Wave-Free Ratio Assessment Through Quantitative [ 15O]H 2O PET Myocardial Perfusion Imaging. J Nucl Med 2024; 65:279-286. [PMID: 38176722 DOI: 10.2967/jnumed.123.265973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 11/01/2023] [Indexed: 01/06/2024] Open
Abstract
In patients evaluated for obstructive coronary artery disease (CAD), guidelines recommend using either fractional flow reserve (FFR) or instantaneous wave-free ratio (iFR) to guide coronary revascularization decision-making. The hemodynamic significance of lesions with discordant FFR and iFR measurements is debated. This study compared [15O]H2O PET-derived absolute myocardial perfusion between vessels with concordant and discordant FFR and iFR measurements. Methods: We included 197 patients suspected of obstructive CAD who had undergone [15O]H2O PET perfusion imaging and combined FFR/iFR interrogation in 468 vessels. Resting myocardial blood flow (MBF), hyperemic MBF, and coronary flow reserve (CFR) were compared among 4 groups: FFR low/iFR low (n = 79), FFR high/iFR low (n = 22), FFR low/iFR high (n = 22), and FFR high/iFR high (n = 345). Predefined [15O]H2O PET thresholds for ischemia were 2.3 mL·min-1·g-1 or less for hyperemic MBF and 2.5 or less for CFR. Results: Hyperemic MBF was lower in the concordant low (2.09 ± 0.67 mL·min-1·g-1), FFR high/iFR low (2.41 ± 0.80 mL·min-1·g-1), and FFR low/iFR high (2.40 ± 0.69 mL·min-1·g-1) groups compared with the concordant high group (2.91 ± 0.84 mL·min-1·g-1) (P < 0.001, P = 0.004, and P < 0.001, respectively). A lower CFR was observed in the concordant low (2.37 ± 0.76) and FFR high/iFR low (2.64 ± 0.84) groups compared with the concordant high group (3.35 ± 1.07, P < 0.01 for both). However, for vessels with either low FFR or low iFR, quantitative hyperemic MBF and CFR values exceeded the ischemic threshold in 38% and 49%, respectively. In addition, resting MBF exhibited a negative correlation with iFR (P < 0.001) and was associated with FFR low/iFR high discordance compared with concordant low FFR/low iFR measurements, independent of clinical and angiographic characteristics, as well as hyperemic MBF (odds ratio [OR], 0.41; 95% CI, 0.26-0.65; P < 0.001). Conclusion: We found reduced myocardial perfusion in vessels with concordant low and discordant FFR/iFR measurements. However, FFR/iFR combinations often inaccurately classified vessels as either ischemic or nonischemic when compared with hyperemic MBF and CFR. Furthermore, a lower resting MBF was associated with a higher iFR and the occurrence of FFR low/iFR high discordance. Our study showed that although combined FFR/iFR assessment can be useful to estimate the hemodynamic significance of coronary lesions, these pressure-derived indices provide a limited approximation of [15O]H2O PET-derived quantitative myocardial perfusion as the physiologic standard of CAD severity.
Collapse
Affiliation(s)
- Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stefan P Schumacher
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Yvemarie B O Somsen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Roel Hoek
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jos W R Twisk
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; and
| | - Guus A de Waard
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Alexander Nap
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology, Nuclear Medicine, and PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
9
|
Danad I, Driessen RS. Utility of 82Rb and [ 15O]H 2O PET myocardial perfusion imaging in challenging (high risk) patients: "Don't throw the baby out with the bathwater". J Nucl Cardiol 2024; 32:101783. [PMID: 38233322 DOI: 10.1016/j.nuclcard.2023.101783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 11/23/2023] [Indexed: 01/19/2024]
Affiliation(s)
- Ibrahim Danad
- Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands.
| | - Roel S Driessen
- Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| |
Collapse
|
10
|
van Rosendael AR, Crabtree T, Bax JJ, Nakanishi R, Mushtaq S, Pontone G, Andreini D, Buechel RR, Gräni C, Feuchtner G, Patel TR, Choi AD, Al-Mallah M, Nabi F, Karlsberg RP, Rochitte CE, Alasnag M, Hamdan A, Cademartiri F, Marques H, Kalra D, German DM, Gupta H, Hadamitzky M, Deaño RC, Khalique O, Knaapen P, Hoffmann U, Earls J, Min JK, Danad I. Rationale and design of the CONFIRM2 (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) study. J Cardiovasc Comput Tomogr 2024; 18:11-17. [PMID: 37951725 PMCID: PMC10923095 DOI: 10.1016/j.jcct.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 09/28/2023] [Accepted: 10/08/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND In the last 15 years, large registries and several randomized clinical trials have demonstrated the diagnostic and prognostic value of coronary computed tomography angiography (CCTA). Advances in CT scanner technology and developments of analytic tools now enable accurate quantification of coronary artery disease (CAD), including total coronary plaque volume and low attenuation plaque volume. The primary aim of CONFIRM2, (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) is to perform comprehensive quantification of CCTA findings, including coronary, non-coronary cardiac, non-cardiac vascular, non-cardiac findings, and relate them to clinical variables and cardiovascular clinical outcomes. DESIGN CONFIRM2 is a multicenter, international observational cohort study designed to evaluate multidimensional associations between quantitative phenotype of cardiovascular disease and future adverse clinical outcomes in subjects undergoing clinically indicated CCTA. The targeted population is heterogenous and includes patients undergoing CCTA for atherosclerotic evaluation, valvular heart disease, congenital heart disease or pre-procedural evaluation. Automated software will be utilized for quantification of coronary plaque, stenosis, vascular morphology and cardiac structures for rapid and reproducible tissue characterization. Up to 30,000 patients will be included from up to 50 international multi-continental clinical CCTA sites and followed for 3-4 years. SUMMARY CONFIRM2 is one of the largest CCTA studies to establish the clinical value of a multiparametric approach to quantify the phenotype of cardiovascular disease by CCTA using automated imaging solutions.
Collapse
Affiliation(s)
| | | | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Rine Nakanishi
- Department of Cardiovascular Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Daniele Andreini
- Division of University Cardiology, IRCCS Galeazzi Sant'Ambrogio, Department of Biomedical and Clinical Sciences, University of Milan, Italy
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University of Zurich, Zurich, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Gudrun Feuchtner
- Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Toral R Patel
- Cardiology at Stroobants Heart and Vascular Institute and UVA Cardiology, Lynchburg, VA, United States of America
| | - Andrew D Choi
- Cardiology and Radiology, George Washington University, Washington, DC, United States of America
| | - Mouaz Al-Mallah
- Department of Cardiology, Houston Methodist, Houston, TX, United States of America
| | - Faisal Nabi
- Department of Cardiology, Houston Methodist, Houston, TX, United States of America
| | - Ronald P Karlsberg
- Cardiovascular Research Foundation of Southern California, Cedars Sinai Heart Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Carlos E Rochitte
- Heart Institute, InCor, University of São Paulo Medical School, São Paulo, Brazil
| | - Mirvat Alasnag
- Cardiac Center, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia
| | - Ashraf Hamdan
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
| | - Filippo Cademartiri
- Department of Imaging, Fondazione Monasterio/CNR, Pisa, Italy & SYNLAB IRCCS SDN, Naples, Italy
| | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa and Católica Medical School, Portugal
| | - Dinesh Kalra
- Division of Cardiology, Department of Medicine, University of Louisville School of Medicine, Louisville, KY, United States of America
| | - David M German
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States of America
| | - Himanshu Gupta
- Cardiac Imaging, Heart and Vascular Institute, Valley Health System, Ridgewood, NJ, United States of America
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Roderick C Deaño
- Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
| | - Omar Khalique
- Division of Cardiovascular Imaging, St. Francis Hospital & Heart Center, Roslyn, NY, United States of America
| | - Paul Knaapen
- Department of Cardiology, Amsterdam University Medical Center, Location VUMC, Amsterdam, The Netherlands
| | - Udo Hoffmann
- Cleerly, Inc, Denver, CO, United States of America
| | - James Earls
- Cleerly, Inc, Denver, CO, United States of America
| | - James K Min
- Cleerly, Inc, Denver, CO, United States of America
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam University Medical Center, Location VUMC, Amsterdam, The Netherlands; Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
| |
Collapse
|
11
|
van Diemen PA, de Winter RW, Schumacher SP, Everaars H, Bom MJ, Jukema RA, Somsen YB, Raijmakers PG, Kooistra RA, Timmer J, Maaniitty T, Robbers LF, von Bartheld MB, Demirkiran A, van Rossum AC, Reiber JH, Knuuti J, Underwood SR, Nagel E, Knaapen P, Driessen RS, Danad I. The diagnostic performance of quantitative flow ratio and perfusion imaging in patients with prior coronary artery disease. Eur Heart J Cardiovasc Imaging 2023; 25:116-126. [PMID: 37578007 PMCID: PMC10735295 DOI: 10.1093/ehjci/jead197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/07/2023] [Accepted: 07/20/2023] [Indexed: 08/15/2023] Open
Abstract
AIMS In chronic coronary syndrome (CCS) patients with documented coronary artery disease (CAD), ischaemia detection by myocardial perfusion imaging (MPI) and an invasive approach are viable diagnostic strategies. We compared the diagnostic performance of quantitative flow ratio (QFR) with single-photon emission computed tomography (SPECT), positron emission tomography (PET), and cardiac magnetic resonance imaging (CMR) in patients with prior CAD [previous percutaneous coronary intervention (PCI) and/or myocardial infarction (MI)]. METHODS AND RESULTS This PACIFIC-2 sub-study evaluated 189 CCS patients with prior CAD for inclusion. Patients underwent SPECT, PET, and CMR followed by invasive coronary angiography with fractional flow reserve (FFR) measurements of all major coronary arteries (N = 567), except for vessels with a sub-total or chronic total occlusion. Quantitative flow ratio computation was attempted in 488 (86%) vessels with measured FFR available (FFR ≤0.80 defined haemodynamically significant CAD). Quantitative flow ratio analysis was successful in 334 (68%) vessels among 166 patients and demonstrated a higher accuracy (84%) and sensitivity (72%) compared with SPECT (66%, P < 0.001 and 46%, P = 0.001), PET (65%, P < 0.001 and 58%, P = 0.032), and CMR (72%, P < 0.001 and 33%, P < 0.001). The specificity of QFR (87%) was similar to that of CMR (83%, P = 0.123) but higher than that of SPECT (71%, P < 0.001) and PET (67%, P < 0.001). Lastly, QFR exhibited a higher area under the receiver operating characteristic curve (0.89) than SPECT (0.57, P < 0.001), PET (0.66, P < 0.001), and CMR (0.60, P < 0.001). CONCLUSION QFR correlated better with FFR in patients with prior CAD than MPI, as reflected in the higher diagnostic performance measures for detecting FFR-defined, vessel-specific, significant CAD.
Collapse
Affiliation(s)
- Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Stefan P Schumacher
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Henk Everaars
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Michiel J Bom
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Yvemarie B Somsen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | | | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Lourens F Robbers
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Martin B von Bartheld
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ahmet Demirkiran
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | | | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | | | - Eike Nagel
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| |
Collapse
|
12
|
Somsen YBO, de Winter RW, Giunta R, Schumacher SP, van Diemen PA, Jukema RA, Stuijfzand WJ, Danad I, Lissenberg-Witte BI, Verouden NJ, Nap A, Kleijn SA, Galassi AR, Henriques JP, Knaapen P. Collateral grading systems in retrograde percutaneous coronary intervention of chronic total occlusions. Catheter Cardiovasc Interv 2023; 102:844-856. [PMID: 37671770 DOI: 10.1002/ccd.30812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 07/08/2023] [Accepted: 08/15/2023] [Indexed: 09/07/2023]
Abstract
BACKGROUND The Japanese Channel (J-Channel) score was introduced to aid in retrograde percutaneous coronary intervention (PCI) of chronic total coronary occlusions (CTOs). The predictive value of the J-Channel score has not been compared with established collateral grading systems such as the Rentrop classification and Werner grade. AIMS To investigate the predictive value of the J-Channel score, Rentrop classification and Werner grade for successful collateral channel (CC) guidewire crossing and technical CTO PCI success. METHODS A total of 600 prospectively recruited patients underwent CTO PCI. All grading systems were assessed under dual catheter injection. CC guidewire crossing was considered successful if the guidewire reached the distal segment of the CTO vessel through a retrograde approach. Technical CTO PCI success was defined as thrombolysis in myocardial infarction flow grade 3 and residual stenosis <30%. RESULTS Of 600 patients, 257 (43%) underwent CTO PCI through a retrograde approach. Successful CC guidewire crossing was achieved in 208 (81%) patients. The predictive value of the J-Channel score for CC guidewire crossing (area under curve 0.743) was comparable with the Rentrop classification (0.699, p = 0.094) and superior to the Werner grade (0.663, p = 0.002). Technical CTO PCI success was reported in 232 (90%) patients. The Rentrop classification exhibited a numerically higher discriminatory ability (0.676) compared to the J-Channel score (0.664) and Werner grade (0.589). CONCLUSIONS The J-channel score might aid in strategic collateral channel selection during retrograde CTO PCI. However, the J-Channel score, Rentrop classification, and Werner grade have limited value in predicting technical CTO PCI success.
Collapse
Affiliation(s)
- Yvemarie B O Somsen
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ruben W de Winter
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Rocco Giunta
- Department of Cardiology, University of Palermo, Palermo, Italy
| | - Stefan P Schumacher
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pepijn A van Diemen
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ruurt A Jukema
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Wijnand J Stuijfzand
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ibrahim Danad
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Cardiology, University of Utrecht, Utrecht, The Netherlands
| | - Birgit I Lissenberg-Witte
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Niels J Verouden
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Alexander Nap
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sebastiaan A Kleijn
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - José P Henriques
- Department of Cardiology, Amsterdam UMC, AMC, Amsterdam, The Netherlands
| | - Paul Knaapen
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
13
|
Jukema RA, de Winter RW, Hopman LHGA, Driessen RS, van Diemen PA, Appelman Y, Twisk JWR, Planken RN, Raijmakers PG, Knaapen P, Danad I. Impact of cardiac history and myocardial scar on increase of myocardial perfusion after revascularization. Eur J Nucl Med Mol Imaging 2023; 50:3897-3909. [PMID: 37561140 PMCID: PMC10611874 DOI: 10.1007/s00259-023-06356-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 07/22/2023] [Indexed: 08/11/2023]
Abstract
PURPOSE We sought to assess the impact of coronary revascularization on myocardial perfusion and fractional flow reserve (FFR) in patients without a cardiac history, with prior myocardial infarction (MI) or non-MI percutaneous coronary intervention (PCI). Furthermore, we studied the impact of scar tissue. METHODS Symptomatic patients underwent [15O]H2O positron emission tomography (PET) and FFR before and after revascularization. Patients with prior CAD, defined as prior MI or PCI, underwent scar quantification by magnetic resonance imaging late gadolinium enhancement. RESULTS Among 137 patients (87% male, age 62.2 ± 9.5 years) 84 (61%) had a prior MI or PCI. The increase in FFR and hyperemic myocardial blood flow (hMBF) was less in patients with prior MI or non-MI PCI compared to those without a cardiac history (FFR: 0.23 ± 0.14 vs. 0.20 ± 0.12 vs. 0.31 ± 0.18, p = 0.02; hMBF: 0.54 ± 0.75 vs. 0.62 ± 0.97 vs. 0.91 ± 0.96 ml/min/g, p = 0.04). Post-revascularization FFR and hMBF were similar across patients without a cardiac history or with prior MI or non-MI PCI. An increase in FFR was strongly associated to hMBF increase in patients without a cardiac history or with prior MI/non-MI PCI (r = 0.60 and r = 0.60, p < 0.01 for both). Similar results were found for coronary flow reserve. In patients with prior MI scar was negatively correlated to hMBF increase and independently predictive of an attenuated CFR increase. CONCLUSIONS Post revascularization FFR and perfusion were similar among patients without a cardiac history, with prior MI or non-MI PCI. In patients with prior MI scar burden was associated to an attenuated perfusion increase.
Collapse
Affiliation(s)
- Ruurt A Jukema
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ruben W de Winter
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Luuk H G A Hopman
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Roel S Driessen
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pepijn A van Diemen
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Yolande Appelman
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jos W R Twisk
- Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - R Nils Planken
- Radiology, Nuclear Medicine & PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pieter G Raijmakers
- Radiology, Nuclear Medicine & PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Paul Knaapen
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ibrahim Danad
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
| |
Collapse
|
14
|
Gerrits W, Danad I, Velthuis B, Mushtaq S, Cramer MJ, van der Harst P, van Slochteren FJ, Meine M, Suchá D, Guglielmo M. Cardiac CT in CRT as a Singular Imaging Modality for Diagnosis and Patient-Tailored Management. J Clin Med 2023; 12:6212. [PMID: 37834855 PMCID: PMC10573271 DOI: 10.3390/jcm12196212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 09/16/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
Between 30-40% of patients with cardiac resynchronization therapy (CRT) do not show an improvement in left ventricular (LV) function. It is generally known that patient selection, LV lead implantation location, and device timing optimization are the three main factors that determine CRT response. Research has shown that image-guided CRT placement, which takes into account both anatomical and functional cardiac properties, positively affects the CRT response rate. In current clinical practice, a multimodality imaging approach comprised of echocardiography, cardiac magnetic resonance imaging, or nuclear medicine imaging is used to capture these features. However, with cardiac computed tomography (CT), one has an all-in-one acquisition method for both patient selection and the division of a patient-tailored, image-guided CRT placement strategy. This review discusses the applicability of CT in CRT patient identification, selection, and guided placement, offering insights into potential advancements in optimizing CRT outcomes.
Collapse
Affiliation(s)
- Willem Gerrits
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Ibrahim Danad
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Birgitta Velthuis
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, Italy
| | - Maarten J. Cramer
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Frebus J. van Slochteren
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
- CART-Tech BV, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Mathias Meine
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Dominika Suchá
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Marco Guglielmo
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, Els Borst-Eilersplein 275, 2545 AA The Hague, The Netherlands
| |
Collapse
|
15
|
de Winter RW, Jukema RA, van Diemen PA, Schumacher SP, Somsen YB, van de Hoef TP, van Rossum AC, Twisk JW, Maaniitty T, Knuuti J, Saraste A, Nap A, Raijmakers PG, Danad I, Knaapen P. Prognostic Value of Modified Coronary Flow Capacity Derived From [ 15O]H 2O Positron Emission Tomography Perfusion Imaging. Circ Cardiovasc Imaging 2023; 16:e014845. [PMID: 37725672 PMCID: PMC10510823 DOI: 10.1161/circimaging.122.014845] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 07/26/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND Coronary flow capacity (CFC) is a measure that integrates hyperemic myocardial blood flow and coronary flow reserve to quantify the pathophysiological impact of coronary artery disease on vasodilator capacity. This study explores the prognostic value of modified CFC derived from [15O]H2O positron emission tomography perfusion imaging. METHODS Quantitative rest/stress perfusion measurements were obtained from 1300 patients with known or suspected coronary artery disease. Patients were classified as having myocardial steal (n=38), severely reduced CFC (n=141), moderately reduced CFC (n=394), minimally reduced CFC (n=245), or normal flow (n=482) using previously defined thresholds. The end point was a composite of death and nonfatal myocardial infarction. RESULTS During a median follow-up of 5.5 (interquartile range, 3.7-7.8) years, the end point occurred in 153 (12%) patients. Myocardial steal (hazard ratio [HR], 6.70 [95% CI, 3.21-13.99]; P<0.001), severely reduced CFC (HR, 2.35 [95% CI, 1.16-4.78]; P=0.018), and moderately reduced CFC (HR, 1.95 [95% CI, 1.11-3.41]; P=0.020) were associated with worse prognosis compared with normal flow, after adjusting for clinical characteristics. Similarly, in the overall population, increased resting myocardial blood flow (HR, 3.05 [95% CI, 1.68-5.54]; P<0.001), decreased hyperemic myocardial blood flow (HR, 0.68 [95% CI, 0.52-0.90]; P=0.007) and decreased coronary flow reserve (HR, 0.55 [95% CI, 0.42-0.71]; P<0.001) were independently associated with adverse outcome. In a model adjusted for the combined use of perfusion metrics, modified CFC demonstrated independent prognostic value (overall P=0.017). CONCLUSIONS [15O]H2O positron emission tomography-derived resting myocardial blood flow, hyperemic myocardial blood flow, coronary flow reserve, and CFC are prognostic factors for death and nonfatal myocardial infarction in patients with known or suspected coronary artery disease. Importantly, after adjustment for clinical characteristics and the combined use of [15O]H2O positron emission tomography perfusion metrics, modified CFC remained independently associated with adverse outcome.
Collapse
Affiliation(s)
- Ruben W. de Winter
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Ruurt A. Jukema
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Pepijn A. van Diemen
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Stefan P. Schumacher
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Yvemarie B.O. Somsen
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Tim P. van de Hoef
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Albert C. van Rossum
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Jos W.R. Twisk
- Epidemiology & Data Science (J.W.R.T.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Finland (T.M., J.K., A.S.)
| | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Finland (T.M., J.K., A.S.)
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital and University of Turku, Finland (T.M., J.K., A.S.)
| | - Alexander Nap
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Pieter G. Raijmakers
- Radiology, Nuclear Medicine & PET Research (P.G.R.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Ibrahim Danad
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| | - Paul Knaapen
- Departments of Cardiology (R.W.d.W., R.A.J., P.A.v.D., S.P.S., Y.B.O.S., T.P.v.d.H., A.C.v.R., A.N., I.D., P.K.), Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, the Netherlands
| |
Collapse
|
16
|
Kuronuma K, van Diemen PA, Han D, Lin A, Grodecki K, Kwiecinski J, Motwani M, McElhinney P, Tomasino GF, Park C, Kwan A, Tzolos E, Klein E, Shou B, Tamarappoo B, Cadet S, Danad I, Driessen RS, Berman DS, Slomka PJ, Dey D, Knaapen P. Relationship between impaired myocardial blood flow by positron emission tomography and low-attenuation plaque burden and pericoronary adipose tissue attenuation from coronary computed tomography: From the prospective PACIFIC trial. J Nucl Cardiol 2023; 30:1558-1569. [PMID: 36645580 DOI: 10.1007/s12350-022-03194-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 12/02/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND Positron emission tomography (PET) is the clinical gold standard for quantifying myocardial blood flow (MBF). Pericoronary adipose tissue (PCAT) attenuation may detect vascular inflammation indirectly. We examined the relationship between MBF by PET and plaque burden and PCAT on coronary CT angiography (CCTA). METHODS This post hoc analysis of the PACIFIC trial included 208 patients with suspected coronary artery disease (CAD) who underwent [15O]H2O PET and CCTA. Low-attenuation plaque (LAP, < 30HU), non-calcified plaque (NCP), and PCAT attenuation were measured by CCTA. RESULTS In 582 vessels, 211 (36.3%) had impaired per-vessel hyperemic MBF (≤ 2.30 mL/min/g). In multivariable analysis, LAP burden was independently and consistently associated with impaired hyperemic MBF (P = 0.016); over NCP burden (P = 0.997). Addition of LAP burden improved predictive performance for impaired hyperemic MBF from a model with CAD severity and calcified plaque burden (P < 0.001). There was no correlation between PCAT attenuation and hyperemic MBF (r = - 0.11), and PCAT attenuation was not associated with impaired hyperemic MBF in univariable or multivariable analysis of all vessels (P > 0.1). CONCLUSION In patients with stable CAD, LAP burden was independently associated with impaired hyperemic MBF and a stronger predictor of impaired hyperemic MBF than NCP burden. There was no association between PCAT attenuation and hyperemic MBF.
Collapse
Affiliation(s)
- Keiichiro Kuronuma
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiology, Nihon University, Tokyo, Japan
| | | | - Donghee Han
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Andrew Lin
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Kajetan Grodecki
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Manish Motwani
- Manchester Heart Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Priscilla McElhinney
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Guadalupe Flores Tomasino
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Caroline Park
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Alan Kwan
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Evangelos Tzolos
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Eyal Klein
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Benjamin Shou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Balaji Tamarappoo
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sebastien Cadet
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
| | - Daniel S Berman
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr J Slomka
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
| |
Collapse
|
17
|
van Velzen SGM, Dobrolinska MM, Knaapen P, van Herten RLM, Jukema R, Danad I, Slart RHJA, Greuter MJW, Išgum I. Automated cardiovascular risk categorization through AI-driven coronary calcium quantification in cardiac PET acquired attenuation correction CT. J Nucl Cardiol 2023; 30:955-969. [PMID: 35851642 PMCID: PMC10261233 DOI: 10.1007/s12350-022-03047-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 05/30/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND We present an automatic method for coronary artery calcium (CAC) quantification and cardiovascular risk categorization in CT attenuation correction (CTAC) scans acquired at rest and stress during cardiac PET/CT. The method segments CAC according to visual assessment rather than the commonly used CT-number threshold. METHODS The method decomposes an image containing CAC into a synthetic image without CAC and an image showing only CAC. Extensive evaluation was performed in a set of 98 patients, each having rest and stress CTAC scans and a dedicated calcium scoring CT (CSCT). Standard manual calcium scoring in CSCT provided the reference standard. RESULTS The interscan reproducibility of CAC quantification computed as average absolute relative differences between CTAC and CSCT scan pairs was 75% and 85% at rest and stress using the automatic method compared to 121% and 114% using clinical calcium scoring. Agreement between automatic risk assessment in CTAC and clinical risk categorization in CSCT resulted in linearly weighted kappa of 0.65 compared to 0.40 between CTAC and CSCT using clinically used calcium scoring. CONCLUSION The increased interscan reproducibility achieved by our method may allow routine cardiovascular risk assessment in CTAC, potentially relieving the need for dedicated CSCT.
Collapse
Affiliation(s)
- S G M van Velzen
- Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, Meibergdreef 123, 1105 AZ, Amsterdam, the Netherlands.
- Informatics Institute, University of Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam, the Netherlands.
| | - M M Dobrolinska
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB, Groningen, the Netherlands
| | - P Knaapen
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - R L M van Herten
- Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, Meibergdreef 123, 1105 AZ, Amsterdam, the Netherlands
- Informatics Institute, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam, the Netherlands
| | - R Jukema
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - I Danad
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - R H J A Slart
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB, Groningen, the Netherlands
- Department of Biomedical Photonic Imaging, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, the Netherlands
| | - M J W Greuter
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, 9700 RB, Groningen, the Netherlands
- Department of Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics & Computer Science, University of Twente, P.O. Box 217, 7500 AE, Enschede, the Netherlands
| | - I Išgum
- Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, Meibergdreef 123, 1105 AZ, Amsterdam, the Netherlands
- Informatics Institute, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
| |
Collapse
|
18
|
Han D, van Diemen P, Kuronuma K, Lin A, Motwani M, McElhinney P, Tomasino GF, Park C, Kwan A, Tzolos E, Klein E, Grodecki K, Shou B, Tamarappoo B, Cadet S, Danad I, Driessen RS, Berman DS, Slomka PJ, Dey D, Knaapen P. Sex differences in computed tomography angiography-derived coronary plaque burden in relation to invasive fractional flow reserve. J Cardiovasc Comput Tomogr 2023; 17:112-119. [PMID: 36670043 PMCID: PMC10148895 DOI: 10.1016/j.jcct.2022.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 01/20/2023]
Abstract
BACKGROUND Distinct sex-related differences exist in coronary artery plaque burden and distribution. We aimed to explore sex differences in quantitative plaque burden by coronary CT angiography (CCTA) in relation to ischemia by invasive fractional flow reserve (FFR). METHODS This post-hoc analysis of the PACIFIC trial included 581 vessels in 203 patients (mean age 58.1 ± 8.7 years, 63.5% male) who underwent CCTA and per-vessel invasive FFR. Quantitative assessment of total, calcified, non-calcified, and low-density non-calcified plaque burden were performed using semiautomated software. Significant ischemia was defined as invasive FFR ≤0.8. RESULTS The per-vessel frequency of ischemia was higher in men than women (33.5% vs. 7.5%, p < 0.001). Women had a smaller burden of all plaque subtypes (all p < 0.01). There was no sex difference on total, calcified, or non-calcified plaque burdens in vessels with ischemia; only low-density non-calcified plaque burden was significantly lower in women (beta: -0.183, p = 0.035). The burdens of all plaque subtypes were independently associated with ischemia in both men and women (For total plaque burden (5% increase): Men, OR: 1.15, 95%CI: 1.06-1.24, p = 0.001; Women, OR: 1.96, 95%CI: 1.11-3.46, p = 0.02). No significant interaction existed between sex and total plaque burden for predicting ischemia (interaction p = 0.108). The addition of quantitative plaque burdens to stenosis severity and adverse plaque characteristics improved the discrimination of ischemia in both men and women. CONCLUSIONS In symptomatic patients with suspected CAD, women have a lower CCTA-derived burden of all plaque subtypes compared to men. Quantitative plaque burden provides independent and incremental predictive value for ischemia, irrespective of sex.
Collapse
Affiliation(s)
- Donghee Han
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| | - Pepijn van Diemen
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - Keiichiro Kuronuma
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Andrew Lin
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Manish Motwani
- Manchester Heart Centre, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Priscilla McElhinney
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | | | - Caroline Park
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alan Kwan
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Evangelos Tzolos
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom
| | - Eyal Klein
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kajetan Grodecki
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Benjamin Shou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Balaji Tamarappoo
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Cardiovascular Institute, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Sebastien Cadet
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ibrahim Danad
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - Roel S Driessen
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - Daniel S Berman
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr J Slomka
- Artificial Interlligence in Medicine Program, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Paul Knaapen
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| |
Collapse
|
19
|
Hoek R, Borodzicz-Jazdzyk S, Van Diemen P, Somsen Y, Willem De Winter R, Jukema R, Raijmakers P, Knuuti JM, Maaniitty T, Underwood SR, Nagel EC, Robbers L, Demirkiran A, von Bartheld B, Driessen R, Danad I, Gotte M, Knaapen P. DIAGNOSTIC PERFORMANCE OF QUANTITATIVE CARDIAC MAGNETIC RESONANCE IMAGING IN PATIENTS WITH PRIOR CORONARY ARTERY DISEASE. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)01751-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
|
20
|
Winter RWD, Jukema R, Van Diemen P, Schumacher S, Somsen Y, van de Hoef TP, van Rossum A, Twisk J, Maaniitty T, Knuuti JM, Saraste A, Nap A, Raijmakers P, Danad I, Knaapen P. CORONARY FLOW CAPACITY PREDICTS ADVERSE OUTCOME BEYOND STANDARD PERFUSION METRICS IN STABLE CHEST PAIN PATIENTS. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)01831-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
|
21
|
Somsen Y, De Winter RW, Van Veelen A, Schumacher S, Van Diemen P, Jukema R, Hoek R, Stuijfzand W, Danad I, Verouden N, Nap A, Appelman Y, Henriques J, Knaapen P. IMPACT OF SEX-DIFFERENCES ON CHANGES IN MYOCARDIAL PERFUSION FOLLOWING PERCUTANEOUS CORONARY INTERVENTION OF CHRONIC TOTAL CORONARY OCCLUSIONS. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)01217-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
|
22
|
Nurmohamed NS, Jukema R, Driessen R, Bom M, Winter RWD, Sprengers R, Nap A, Sidahmed A, Min JK, Earls JP, Choi AD, Knaapen P, Danad I. AI-QCT DEMONSTRATES SUPERIOR ACCURACY FOR THE DIAGNOSIS OF OBSTRUCTIVE CAD BY QCA STANDARD COMPARED TO CORE LAB CCTA INTERPRETATION. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)02569-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
|
23
|
Kim Y, Choi AD, Telluri A, Lipkin I, Bradley AJ, Sidahmed A, Jonas R, Andreini D, Bathina R, Baggiano A, Cerci R, Choi EY, Choi JH, Choi SY, Chung N, Cole J, Doh JH, Ha SJ, Her AY, Kepka C, Kim JY, Kim JW, Kim SW, Kim W, Pontone G, Villines TC, Cho I, Danad I, Heo R, Lee SE, Lee JH, Park HB, Sung JM, Crabtree T, Earls JP, Min JK, Chang HJ. Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) to guide referral to invasive coronary angiography in the randomized controlled CONSERVE trial. Clin Cardiol 2023; 46:477-483. [PMID: 36847047 PMCID: PMC10189079 DOI: 10.1002/clc.23995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/25/2023] [Indexed: 03/01/2023] Open
Abstract
AIMS We compared diagnostic performance, costs, and association with major adverse cardiovascular events (MACE) of clinical coronary computed tomography angiography (CCTA) interpretation versus semiautomated approach that use artificial intelligence and machine learning for atherosclerosis imaging-quantitative computed tomography (AI-QCT) for patients being referred for nonemergent invasive coronary angiography (ICA). METHODS CCTA data from individuals enrolled into the randomized controlled Computed Tomographic Angiography for Selective Cardiac Catheterization trial for an American College of Cardiology (ACC)/American Heart Association (AHA) guideline indication for ICA were analyzed. Site interpretation of CCTAs were compared to those analyzed by a cloud-based software (Cleerly, Inc.) that performs AI-QCT for stenosis determination, coronary vascular measurements and quantification and characterization of atherosclerotic plaque. CCTA interpretation and AI-QCT guided findings were related to MACE at 1-year follow-up. RESULTS Seven hundred forty-seven stable patients (60 ± 12.2 years, 49% women) were included. Using AI-QCT, 9% of patients had no CAD compared with 34% for clinical CCTA interpretation. Application of AI-QCT to identify obstructive coronary stenosis at the ≥50% and ≥70% threshold would have reduced ICA by 87% and 95%, respectively. Clinical outcomes for patients without AI-QCT-identified obstructive stenosis was excellent; for 78% of patients with maximum stenosis < 50%, no cardiovascular death or acute myocardial infarction occurred. When applying an AI-QCT referral management approach to avoid ICA in patients with <50% or <70% stenosis, overall costs were reduced by 26% and 34%, respectively. CONCLUSIONS In stable patients referred for ACC/AHA guideline-indicated nonemergent ICA, application of artificial intelligence and machine learning for AI-QCT can significantly reduce ICA rates and costs with no change in 1-year MACE.
Collapse
Affiliation(s)
- Yumin Kim
- The George Washington University School of Medicine, Washington, District of Columbia, USA
| | - Andrew D Choi
- The George Washington University School of Medicine, Washington, District of Columbia, USA
| | - Anha Telluri
- The George Washington University School of Medicine, Washington, District of Columbia, USA
| | - Isabella Lipkin
- The George Washington University School of Medicine, Washington, District of Columbia, USA
| | - Andrew J Bradley
- The George Washington University School of Medicine, Washington, District of Columbia, USA
| | - Alfateh Sidahmed
- The George Washington University School of Medicine, Washington, District of Columbia, USA
| | - Rebecca Jonas
- Jefferson Medical Institute, Philadelphia, Pennsylvania, USA
| | | | - Ravi Bathina
- CARE Hospital and FACTS Foundation, Hyderabad, India
| | | | | | | | | | - So-Yeon Choi
- Ajou University Hospital, Gyeonggi-do, South Korea
| | - Namsik Chung
- Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, South Korea
| | - Jason Cole
- Cardiology Associates of Mobile, Mobile, Alabama, USA
| | - Joon-Hyung Doh
- Inje University, Ilsan Paik Hospital, Gyeonggi-do, South Korea
| | - Sang-Jin Ha
- Gangneung Asan Hospital, Gangwon-do, South Korea
| | - Ae-Young Her
- Kangwon National University Hospital, Gangwon-do, South Korea
| | - Cezary Kepka
- National Institute of Cardiology, Warsaw, Poland
| | | | - Jin Won Kim
- Korea University Guro Hospital, Seoul, South Korea
| | | | - Woong Kim
- Yeungnam University Hospital, Daegu, South Korea
| | | | - Todd C Villines
- University of Virginia Medical Center, Charlottesville, Virginia, USA
| | - Iksung Cho
- Chung-Ang University Hospital, Seoul, South Korea
| | | | - Ran Heo
- Hanyang University, Hanyang University Medical Center, Seoul, South Korea
| | - Sang-Eun Lee
- Myongji Hospital, Seonam University College of Medicine, Gyeonggi-do, South Korea
| | - Ji Hyun Lee
- Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, South Korea
| | - Hyung-Bok Park
- Myongji Hospital, Seonam University College of Medicine, Gyeonggi-do, South Korea.,International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, South Korea
| | - Ji-Min Sung
- Jefferson Medical Institute, Philadelphia, Pennsylvania, USA
| | | | - James P Earls
- The George Washington University School of Medicine, Washington, District of Columbia, USA.,Cleerly Inc, New York, New York, USA
| | | | - Hyuk-Jae Chang
- Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, South Korea
| |
Collapse
|
24
|
Jukema R, Maaniitty T, van Diemen P, Berkhof H, Raijmakers PG, Sprengers R, Planken RN, Knaapen P, Saraste A, Danad I, Knuuti J. Warranty period of coronary computed tomography angiography and [15O]H2O positron emission tomography in symptomatic patients. Eur Heart J Cardiovasc Imaging 2023; 24:304-311. [PMID: 36585755 DOI: 10.1093/ehjci/jeac258] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 11/19/2022] [Indexed: 01/01/2023] Open
Abstract
AIMS Data on the warranty period of coronary computed tomography angiography (CTA) and combined coronary CTA/positron emission tomography (PET) are scarce. The present study aimed to determine the event-free (warranty) period after coronary CTA and the potential additional value of PET. METHOD AND RESULTS Patients with suspected but not previously diagnosed coronary artery disease (CAD) who underwent coronary CTA and/or [15O]H2O PET were categorized based upon coronary CTA as no CAD, non-obstructive CAD, or obstructive CAD. A hyperaemic myocardial blood flow (MBF) ≤ 2.3 mL/min/g was considered abnormal. The warranty period was defined as the time for which the cumulative event rate of death and non-fatal myocardial infarction (MI) was below 5%. Of 2575 included patients (mean age 61.4 ± 9.9 years, 41% male), 1319 (51.2%) underwent coronary CTA only and 1237 (48.0%) underwent combined coronary CTA/PET. During a median follow-up of 7.0 years 163 deaths and 68 MIs occurred. The warranty period for patients with no CAD on coronary CTA was ≥10 years, whereas patients with non-obstructive CAD had a 5-year warranty period. Patients with obstructive CAD and normal hyperaemic MBF had a 2-year longer warranty period compared to patients with obstructive CAD and abnormal MBF (3 years vs. 1 year). CONCLUSION As standalone imaging, the warranty period for normal coronary CTA is ≥10 years, whereas patients with non-obstructive CAD have a warranty period of 5 years. Normal PET yielded a 2-year longer warranty period in patients with obstructive CAD.
Collapse
Affiliation(s)
- Ruurt Jukema
- Department of Cardiology, Nuclear Medicine & PET Research, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Turku 20520, Finland.,Clinical Physiology, Nuclear Medicine and PET, Turku University Hospital and University of Turku, Turku 20520, Finland
| | - Pepijn van Diemen
- Department of Cardiology, Nuclear Medicine & PET Research, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Hans Berkhof
- Department of Epidemiology & Data Science, Nuclear Medicine & PET Research, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology, Nuclear Medicine & PET Research, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Ralf Sprengers
- Department of Radiology, Nuclear Medicine & PET Research, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - R Nils Planken
- Department of Radiology, Nuclear Medicine & PET Research, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Nuclear Medicine & PET Research, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital and University of Turku, Turku 20520, Finland.,Heart Center, Turku University Hospital, Turku 20520, Finland
| | - Ibrahim Danad
- Department of Cardiology, Nuclear Medicine & PET Research, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.,Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku 20520, Finland.,Clinical Physiology, Nuclear Medicine and PET, Turku University Hospital and University of Turku, Turku 20520, Finland
| |
Collapse
|
25
|
De Winter RW, Van Diemen PA, Schumacher SP, Jukema RA, Somsen YBO, Bom MJ, Everaars H, Van Rossum AC, Verouden NJ, Raijmakers PG, Nap A, Driessen RS, Danad I, Knaapen P. Concordant low and discordant fractional flow reserve and instantaneous wave-free ratio measurements are associated with reduced myocardial perfusion. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
In patients undergoing invasive coronary angiography with functional lesion assessment, both fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) measurements can be used to guide coronary revascularization decision-making. The hemodynamic significance of lesions with discordant FFR and iFR measurements is debated.
Purpose
This study compared quantitative myocardial perfusion indices as assessed by [15O]H2O positron emission tomography (PET) perfusion imaging in vessels with concordant high, discordant and concordant low FFR/iFR measurements
Methods
This post-hoc analysis of the PACIFIC I and II studies included 198 patients suspected of obstructive coronary artery disease who had undergone [15O]H2O PET imaging and subsequent FFR/iFR interrogation in 468 vessels. Resting myocardial blood flow (MBF), hyperemic MBF and coronary flow reserve (CFR) were compared between 4 vessel subgroups: FFR+/iFR+ (n=79), FFR−/iFR+ (n=22), FFR+/iFR− (n=22) and FFR−/iFR− (n=345).
Results
Discordant FFR/iFR indices were found in 44 (9%) vessels. Hyperemic MBF was significantly lower for vessels with FFR+/iFR+ (2.09±0.67 mL min–1 g–1), FFR−/iFR+ (2.41±0.80 mL min–1 g–1) and FFR+/iFR− (2.40±0.69 mL min–1 g–1) compared to FFR−/iFR− vessels (2.91±0.84 mL min–1 g–1) (p<0.01, p=0.03 and p<0.01, respectively). Hyperemic MBF did not differ between vessels with FFR+/iFR+ compared to FFR−/iFR+ (p=0.38) and FFR+/iFR− (p=0.35) vessels. In addition, resting MBF was lower and CFR did not differ in the FFR+/iFR− versus the FFR−/iFR− group (resting MBF: 0.80±0.16 mL min–1 g–1 vs. 0.90±0.24 mL min–1 g–1, p=0.03 and CFR: 3.05±0.84 vs. 3.35±1.07, p=0.56). Finally, CFR was similar in FFR+/iFR+ and FFR−/iFR+ vessels (2.37±0.76 vs. 2.64±0.84, p=0.92).
Conclusions
We found lower baseline flow and similar flow reserve in FFR+/iFR− compared to FFR−/iFR− vessels. Importantly, [15O]H2O PET imaging demonstrated reduced hyperemic MBF in vessels with concordant low and discordant FFR and iFR measurements.
Funding Acknowledgement
Type of funding sources: None.
Collapse
Affiliation(s)
- R W De Winter
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - P A Van Diemen
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - S P Schumacher
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - R A Jukema
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - Y B O Somsen
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - M J Bom
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - H Everaars
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - A C Van Rossum
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - N J Verouden
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - P G Raijmakers
- Amsterdam UMC - Location VUmc, Department of Radiology, Nuclear Medicine and PET Research , Amsterdam , The Netherlands
| | - A Nap
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - R S Driessen
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - I Danad
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - P Knaapen
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| |
Collapse
|
26
|
De Winter RW, Jukema RA, Van Diemen PA, Schumacher SP, Somsen YBO, Van De Hoef TP, Van Rossum AC, Twisk JW, Maaniitty T, Knuuti J, Saraste A, Nap A, Raijmakers PG, Danad I, Knaapen P. Prognostic value of coronary flow capacity derived from [15O]H2O positron emission tomography perfusion imaging. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Coronary flow capacity (CFC) is a cross-modality framework integrating hyperemic myocardial blood flow (hMBF) and coronary flow reserve (CFR) to quantify the physiological impact of coronary atherosclerotic disease on vasodilator capacity.
Purpose
This study explores the prognostic value of CFC derived from [15O]H2O positron emission tomography (PET) perfusion imaging in addition to traditional perfusion metrics.
Methods
Quantitative perfusion measurements were obtained from 1300 patients with suspected or known coronary artery disease who underwent [15O]H2O PET imaging. Patients were classified as having myocardial steal, severely reduced CFC, moderately reduced CFC, minimally reduced CFC or normal flow using previously defined perfusion thresholds. The endpoint was a composite of death and non-fatal myocardial infarction (MI).
Results
The composite endpoint occurred in 153 (12%) patients during a median follow-up of 5.5 (interquartile range 3.7–7.8) years. Myocardial steal (HR 10.65, 95% CI 4.45–25.49, p<0.001), severely reduced CFC (HR 3.77, 95% CI 1.88–7.58, p<0.001), moderately reduced CFC (HR 2.03, 95% CI 1.25–3.29, p=0.004) and minimally reduced CFC (HR 1.72, 95% CI 1.05–2.81, p=0.030) were independently associated with worse outcome after adjusting for clinical risk factors. Similarly, increased resting MBF (HR 3.19, 95% CI 1.74–5.83, p<0.001), decreased hMBF (HR 0.72, 95% CI 0.57–0.90, p=0.004) and decreased CFR (HR 0.59, 95% CI 0.47–0.73, p<0.001) were significant prognostic factors for events. In a combined perfusion model, only resting MBF (p=0.018) and CFC (overall p=0.012) demonstrated independent prognostic value.
Conclusions
[15O]H2O PET-derived resting MBF, hMBF, CFR and CFC were prognostic factors for death and non-fatal MI. Notably, in a combined model including all perfusion metrics, only resting MBF and CFC were independently associated with adverse outcome.
Funding Acknowledgement
Type of funding sources: None.
Collapse
Affiliation(s)
- R W De Winter
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - R A Jukema
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - P A Van Diemen
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - S P Schumacher
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - Y B O Somsen
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - T P Van De Hoef
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - A C Van Rossum
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - J W Twisk
- Amsterdam UMC - Location VUmc, Department of Epidemiology and Data Science , Amsterdam , The Netherlands
| | - T Maaniitty
- Turku University Hospital, Turku PET Centre, University of Turku , Turku , Finland
| | - J Knuuti
- Turku University Hospital, Turku PET Centre, University of Turku , Turku , Finland
| | - A Saraste
- Turku University Hospital, Turku PET Centre, University of Turku , Turku , Finland
| | - A Nap
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - P G Raijmakers
- Amsterdam UMC - Location VUmc, Department of Radiology, Nuclear Medicine and PET Research , Amsterdam , The Netherlands
| | - I Danad
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| | - P Knaapen
- Amsterdam UMC - Location VUmc, Department of Cardiology , Amsterdam , The Netherlands
| |
Collapse
|
27
|
Somsen YBO, De Winter RW, Giunta R, Schumacher SP, Van Diemen PA, Jukema RA, Stuijfzand WJA, Danad I, Lissenberg-Witte B, Verouden NJ, Nap A, Galassi AR, Henriques JP, Knaapen P. Predicting success of the retrograde approach in percutaneous coronary intervention of chronic total coronary occlusions as guided by collateral grading systems. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Retrograde chronic total coronary occlusion (CTO) percutaneous coronary intervention (PCI) requires selection of appropriate interventional collaterals. At present, utilization of the Rentrop and Werner grading systems are encouraged to assess the collateral channels (CCs) prior to attempted guidewire (GW) crossing [1]. The J-Channel score was recently introduced to predict CC GW crossing difficulty, yet data on its applicability is lacking [2].
Purpose
To investigate the predictive ability of the J-Channel score for CC GW crossing success and technical CTO-PCI success compared to the Rentrop and Werner grading systems.
Methods
A total of 262 patients who underwent single-vessel retrograde CTO-PCI were prospectively recruited in a single-center registry. The J-Channel score, Rentrop and Werner grade were assessed by invasive coronary angiography. Crossing of CCs was considered successful if the GW reached the distal cap of the CTO body. Technical CTO-PCI success was defined as Thrombolysis in Myocardial Infarction flow grade 3 and residual stenosis <30%.
Results
Mean J-Channel score was found at 1.9±1.2. Median Rentrop and Werner grade were 3 [IQR 2–3] and 1 [IQR 1–2]. Technical CTO-PCI success was 90%. In 211 (81%) cases, CC GW crossing was successful. Receiver operating characteristics analysis showed comparable discriminatory capacity for Rentrop and Werner grade (AUC 0.67 and 0.65, p=0.611), whereas the predictive ability of the J-Channel score (AUC 0.74) was superior to the Werner grade (p<0.001). A high J-Channel score was inversely associated with CC GW crossing success (p<0.001). For technical CTO-PCI success, overall performance of all grading systems weakened, wherein Rentrop grade was numerically highest, followed by the J-Channel score and Werner grade (AUC 0.69, 0.67, and 0.58, respectively). Notably, a high Rentrop grade was associated with increased CC GW crossing and technical CTO-PCI success (p<0.001).
Conclusions
In retrograde CTO-PCI, there is limited incremental value of the J-Channel score, Rentrop classification and Werner grade in predicting technical CTO-PCI success. However, their application might aid in strategic collateral channel selection prior to attempted guidewire crossing.
Funding Acknowledgement
Type of funding sources: None.
Collapse
Affiliation(s)
- Y B O Somsen
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| | - R W De Winter
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| | - R Giunta
- University of Palermo, Cardiology , Palermo , Italy
| | - S P Schumacher
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| | - P A Van Diemen
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| | - R A Jukema
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| | - W J A Stuijfzand
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| | - I Danad
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| | | | - N J Verouden
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| | - A Nap
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| | - A R Galassi
- University of Palermo, Cardiology , Palermo , Italy
| | - J P Henriques
- Academic Medical Center, Cardiology , Amsterdam , The Netherlands
| | - P Knaapen
- Vrije Universiteit Medical Centre (VUMC) , Amsterdam , The Netherlands
| |
Collapse
|
28
|
Van Diemen PA, De Winter RW, Raijmakers PG, Maaniitty T, Robbers LF, Von Bartheld MB, Demirkiran A, Van Rossum AC, Reiber JH, Underwood SR, Knuuti J, Nagel E, Knaapen P, Driessen RS, Danad I. QFR vs. perfusion imaging to predict abnormal FFR in patients with prior coronary artery disease. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
In patients with suspected obstructive coronary artery disease (CAD) and a high pre-test probability, myocardial perfusion imaging (MPI) or referral for invasive coronary angiography (ICA) are viable diagnostic strategies. The present study compared the diagnostic performance of quantitative flow ratio (QFR) and MPI by single-photon emission computed tomography (SPECT), positron emission tomography (PET), and cardiac magnetic resonance imaging (CMR).
Methods
In this PACIFIC-II substudy, 189 patients with prior MI/PCI who were suspected of having symptoms related to myocardial ischemia and underwent SPECT, PET, and CMR before ICA were evaluated for inclusion. ICA was obtained with (109 patients) and without (80 patients) adherence to a QFR acquisition protocol. All major coronary arteries were interrogated by FFR, except for vessels with a subtotal/total occlusion. An FFR ≤0.80 was used to define significant epicardial CAD. QFR analyses (v2.0) were performed based on ICA by a corelab in vascular territories (N=487) in which FFR was obtained. MPI modalities were assessed for presence of ischemia by corelabs, uninterpretable scans were omitted from the diagnostic comparison analyses.
Results
QFR analysis success rate was higher (81%) among vessels acquired using the QFR acquisition protocol compared to vessels obtained without the protocol (52%, p<0.001). Overall, a QFR result was available in 334 (69%) vessels. Among these vessels, QFR had a higher sensitivity (72%) and accuracy (84%) compared to SPECT (46%, p=0.001 and 66%, p<0.001), PET (58%, p=0.032 and 65%, p<0.001), and CMR (33%, p<0.001 and 72%, p<0.001). Whereas specificity of QFR (87%) was similar to CMR (83%, p=0.123) but higher than that of SPECT (71%, p<0.001) and PET (67%, p<0.001). Lastly, QFR exhibited a higher area under the receiver operating characteristic curve (0.89) than SPECT (0.57, p<0.001), PET (0.66, p<0.001), and CMR (0.60, p<0.001).
Conclusions
Provided QFR was analyzable (69% of the vessels), QFR correlated better with FFR (both as measures of epicardial CAD) than MPI as reflected in the diagnostic performance measures for detecting vessels-specific significant epicardial CAD as defined by FFR.
Funding Acknowledgement
Type of funding sources: None.
Collapse
Affiliation(s)
- P A Van Diemen
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - R W De Winter
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - P G Raijmakers
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | | | - L F Robbers
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | | | - A Demirkiran
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - A C Van Rossum
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - J H Reiber
- Medis Medical Imaging Systems , Leiden , The Netherlands
| | | | - J Knuuti
- Turku University Hospital , Turku , Finland
| | - E Nagel
- University Hospital Frankfurt , Frankfurt , Germany
| | - P Knaapen
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - R S Driessen
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - I Danad
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| |
Collapse
|
29
|
Jukema R, Maaniitty T, Van Diemen P, Berkhof H, Raijmakers P, Sprengers R, Planken R, Knaapen P, Saraste A, Danad I, Knuuti J. Warranty period of normal CCTA and [15O]H2O PET in chest pain patients. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Normal coronary computed tomography angiography (CTA) and positron emission tomography (PET) are associated with an excellent prognosis. Hitherto, data on the warranty period of normal coronary CTA and normal myocardial blood flow (MBF) by PET are scarce.
Purpose
To determine the event-free period after normal coronary CTA and PET results. In addition, to determine whether PET MBF imaging confers additional prognostic value beyond coronary anatomy in symptomatic patients.
Methods
Patients with suspected but not previously diagnosed coronary artery disease (CAD) who underwent coronary CTA or [15O]H2O PET were categorized based upon coronary CTA as no CAD, non-obstructive CAD or obstructive CAD. A hyperemic MBF <2.3 ml/min/g was considered abnormal and indicative for ischemia. A cumulative risk below 5% against death and myocardial infarction (MI) was used to define the warranty period.
Results
Of 2575 included patients (mean age 61.4±9.9 years, 41% male) 1319 (51.2%) underwent coronary CTA only, 1237 (48.0%) underwent both coronary CTA and PET and 19 (0.74%) patients underwent PET imaging only. During a median follow-up of 7.0 years 163 deaths and 68 MIs occurred. The warranty period for patients without any CAD was >10 years. Patients with non-obstructive CAD had a 5 year warranty period. In patients with no, non-obstructive or obstructive CAD on CTA, normal PET extended the warranty period with ≥2 years. The warranty period of patients with non-obstructive CAD or normal perfusion varied between 2.5 and >10 years for patients with or without clinical risk factors.
Conclusions
As standalone imaging, the warranty period for a normal coronary CTA is >10 years, whereas patients with non-obstructive CAD have a warranty period of 5 years. Independent of coronary anatomy normal perfusion imaging has additional prognostic value and extends the warranty period by ≥2 years.
Funding Acknowledgement
Type of funding sources: None.
Collapse
Affiliation(s)
- R Jukema
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | | | - P Van Diemen
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - H Berkhof
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - P Raijmakers
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - R Sprengers
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - R Planken
- Amsterdam UMC - Location Academic Medical Center , Amsterdam , The Netherlands
| | - P Knaapen
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | | | - I Danad
- Amsterdam UMC - Location VUmc , Amsterdam , The Netherlands
| | - J Knuuti
- Turku PET Centre , Turku , Finland
| |
Collapse
|
30
|
Lin A, van Diemen PA, Motwani M, McElhinney P, Otaki Y, Han D, Kwan A, Tzolos E, Klein E, Kuronuma K, Grodecki K, Shou B, Rios R, Manral N, Cadet S, Danad I, Driessen RS, Berman DS, Nørgaard BL, Slomka PJ, Knaapen P, Dey D. Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood Flow. Circ Cardiovasc Imaging 2022; 15:e014369. [PMID: 36252116 PMCID: PMC10085569 DOI: 10.1161/circimaging.122.014369] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 09/13/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND A pathophysiological interplay exists between plaque morphology and coronary physiology. Machine learning (ML) is increasingly being applied to coronary computed tomography angiography (CCTA) for cardiovascular risk stratification. We sought to assess the performance of a ML score integrating CCTA-based quantitative plaque features for predicting vessel-specific ischemia by invasive fractional flow reserve (FFR) and impaired myocardial blood flow (MBF) by positron emission tomography (PET). METHODS This post-hoc analysis of the PACIFIC trial (Prospective Comparison of Cardiac Positron Emission Tomography/Computed Tomography [CT]' Single Photon Emission Computed Tomography/CT Perfusion Imaging and CT Coronary Angiography with Invasive Coronary Angiography) included 208 patients with suspected coronary artery disease who prospectively underwent CCTA' [15O]H2O PET, and invasive FFR. Plaque quantification from CCTA was performed using semiautomated software. An ML algorithm trained on the prospective NXT trial (484 vessels) was used to develop a ML score for the prediction of ischemia (FFR≤0.80), which was then evaluated in 581 vessels from the PACIFIC trial. Thereafter, the ML score was applied for predicting impaired hyperemic MBF (≤2.30 mL/min per g) from corresponding PET scans. The performance of the ML score was compared with CCTA reads and noninvasive FFR derived from CCTA (FFRCT). RESULTS One hundred thirty-nine (23.9%) vessels had FFR-defined ischemia, and 195 (33.6%) vessels had impaired hyperemic MBF. For the prediction of FFR-defined ischemia, the ML score yielded an area under the receiver-operating characteristic curve of 0.92, which was significantly higher than that of visual stenosis grade (0.84; P<0.001) and comparable with that of FFRCT (0.93; P=0.34). Quantitative percent diameter stenosis and low-density noncalcified plaque volume had the greatest ML feature importance for predicting FFR-defined ischemia. When applied for impaired MBF prediction, the ML score exhibited an area under the receiver-operating characteristic curve of 0.80; significantly higher than visual stenosis grade (area under the receiver-operating characteristic curve 0.74; P=0.02) and comparable with FFRCT (area under the receiver-operating characteristic curve 0.77; P=0.16). CONCLUSIONS An externally validated ML score integrating CCTA-based quantitative plaque features accurately predicts FFR-defined ischemia and impaired MBF by PET, performing superiorly to standard CCTA stenosis evaluation and comparably to FFRCT.
Collapse
Affiliation(s)
- Andrew Lin
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Pepijn A. van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Manish Motwani
- Manchester Heart Centre, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Priscilla McElhinney
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yuka Otaki
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Donghee Han
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alan Kwan
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Evangelos Tzolos
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom
| | - Eyal Klein
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Keiichiro Kuronuma
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kajetan Grodecki
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Benjamin Shou
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Richard Rios
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Nipun Manral
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sebastien Cadet
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Roel S. Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Daniel S. Berman
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bjarne L. Nørgaard
- Department of Cardiology, Aarhus University Hospital Skejby, Aarhus, Denmark
| | - Piotr J. Slomka
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| |
Collapse
|
31
|
Somsen Y, de Winter R, van Veelen A, Schumacher S, van Diemen P, Jukema R, Hoek R, Stuijfzand W, Danad I, Verouden N, Nap A, Henriques J, Knaapen P. TCT-116 Impact of Sex Differences on Changes in Myocardial Perfusion Following Percutaneous Coronary Intervention of Chronic Total Coronary Occlusions: A Serial [15O]H2O Positron Emission Tomographic Perfusion Imaging Study. J Am Coll Cardiol 2022. [DOI: 10.1016/j.jacc.2022.08.140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|
32
|
de Winter R, Somsen Y, van Diemen P, Jukema R, Hoek R, Jonker M, van Rossum A, Kooistra R, Janssen J, Porouchani S, Wilgenhof A, Danad I, Verouden N, Reiber J, Nap A, Knaapen P. TCT-231 Correlation and Diagnostic Agreement of Quantitative Flow Ratio With Fractional Flow Reserve in Saphenous Vein Grafts. J Am Coll Cardiol 2022. [DOI: 10.1016/j.jacc.2022.08.272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|
33
|
Jukema R, De RW, Van PD, Driessen R, Danser A, Van Den Berg-Garrelds I, Raijmakers P, Van De PV, Knaapen P, Danad I, De GW. Increased RAAS activation is associated with calcified plaque burden, adverse plaque characteristics and FFR significant coronary artery disease. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
|
34
|
van den Hoogen IJ, Stuijfzand WJ, Gianni U, van Rosendael AR, Bax AM, Lu Y, Tantawy SW, Hollenberg EJ, Andreini D, Al-Mallah MH, Cademartiri F, Chinnaiyan K, Chow BJW, Conte E, Cury RC, Feuchtner G, Gonçalves PDA, Hadamitzky M, Kim YJ, Leipsic J, Maffei E, Marques H, Plank F, Pontone G, Villines TC, Lee SE, Al'Aref SJ, Baskaran L, Danad I, Gransar H, Budoff MJ, Samady H, Virmani R, Berman DS, Chang HJ, Narula J, Min JK, Bax JJ, Lin FY, Shaw LJ. Early versus late acute coronary syndrome risk patterns of coronary atherosclerotic plaque. Eur Heart J Cardiovasc Imaging 2022; 23:1314-1323. [PMID: 35904766 DOI: 10.1093/ehjci/jeac114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 05/02/2022] [Accepted: 05/31/2022] [Indexed: 11/13/2022] Open
Abstract
AIMS The temporal instability of coronary atherosclerotic plaque preceding an incident acute coronary syndrome (ACS) is not well defined. We sought to examine differences in the volume and composition of coronary atherosclerosis between patients experiencing an early (≤90 days) versus late ACS (>90 days) after baseline coronary computed tomography angiography (CCTA). METHODS AND RESULTS From a multicenter study, we enrolled patients who underwent a clinically indicated baseline CCTA and experienced ACS during follow-up. Separate core laboratories performed blinded adjudication of ACS events and quantification of CCTA including compositional plaque volumes by Hounsfield units (HU): calcified plaque >350 HU, fibrous plaque 131-350 HU, fibrofatty plaque 31-130 HU and necrotic core <30 HU. In 234 patients (mean age 62 ± 12 years, 36% women), early and late ACS occurred in 129 and 105 patients after a mean of 395 ± 622 days, respectively. Patients with early ACS had a greater maximal diameter stenosis and maximal cross-sectional plaque burden as compared to patients with late ACS (P < 0.05). Larger total, fibrous, fibrofatty, and necrotic core volumes were observed in the early ACS group (P < 0.05). Findings for total, fibrous, fibrofatty, and necrotic core volumes were reproduced in an external validation cohort (P < 0.05). CONCLUSIONS Volumetric differences in composition of coronary atherosclerosis exist between ACS patients according to their timing antecedent to the acute event. These data support that a large burden of non-calcified plaque on CCTA is strongly associated with near-term plaque instability and ACS risk.
Collapse
Affiliation(s)
- Inge J van den Hoogen
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.,Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Wijnand J Stuijfzand
- Amsterdam University Medical Center, VU University Medical Center, Amsterdam, the Netherlands
| | - Umberto Gianni
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | | | - A Maxim Bax
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.,Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Yao Lu
- Department of Healthcare Policy and Research, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY, USA
| | - Sara W Tantawy
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.,Faculty of Medicine, Department of Radiology, Ain Shams University, Cairo, Egypt
| | - Emma J Hollenberg
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | | | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | | | | | - Benjamin J W Chow
- Department of Medicine and Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Edoardo Conte
- Centro Cardiologico Monzino, IRCCS Milan, Milan, Italy
| | - Ricardo C Cury
- Department of Radiology, Miami Cardiac and Vascular Institute, Miami, FL, USA
| | - Gudrun Feuchtner
- Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Yong-Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Jonathon Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Erica Maffei
- Department of Radiology, Area Vasta 1/ASUR Marche, Urbino, Italy
| | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisbon, Portugal
| | - Fabian Plank
- Department of Cardiology, Innsbruck Medical University, Innsbruck, Austria
| | | | - Todd C Villines
- Department of Medicine, University of Virginia Health System, Charlottesville, VA, USA
| | - Sang-Eun Lee
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, Korea.,Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Subhi J Al'Aref
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Lohendran Baskaran
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.,Department of Cardiovascular Medicine, National Heart Centre, Singapore
| | - Ibrahim Danad
- Amsterdam University Medical Center, VU University Medical Center, Amsterdam, the Netherlands
| | - Heidi Gransar
- Department of Imaging, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance, CA, USA
| | - Habib Samady
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Daniel S Berman
- Department of Imaging and Medicine, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | | | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Fay Y Lin
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Leslee J Shaw
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | | |
Collapse
|
35
|
de Winter RW, Schumacher SP, van Diemen PA, Jukema RA, Somsen YB, Stuijfzand WJ, Driessen RS, Bom MJ, Everaars H, van Rossum AC, van de Ven PM, Opolski MP, Verouden NJ, Danad I, Raijmakers PG, Nap A, Knaapen P. Impact of percutaneous coronary intervention of chronic total occlusions on absolute perfusion in remote myocardium. EUROINTERVENTION 2022; 18:e314-e323. [PMID: 34866043 PMCID: PMC9912974 DOI: 10.4244/eij-d-21-00702] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Revascularisation of a chronic total coronary occlusion (CTO) impacts the coronary physiology of the remote myocardial territory. AIMS This study aimed to evaluate the intrinsic effect of CTO percutaneous coronary intervention (PCI) on changes in absolute perfusion in remote myocardium. METHODS A total of 164 patients who underwent serial [15O]H2O positron emission tomography (PET) perfusion imaging at baseline and three months after successful single-vessel CTO PCI were included to evaluate changes in hyperaemic myocardial blood flow (hMBF) and coronary flow reserve (CFR) in the remote myocardium supplied by both non-target coronary arteries. RESULTS Perfusion indices in CTO and remote myocardium showed a positive correlation before (resting MBF: r=0.84, hMBF: r=0.75, and CFR: r=0.77, p<0.01 for all) and after (resting MBF: r=0.87, hMBF: r=0.87, and CFR: r=0.81, p<0.01 for all) CTO PCI. Absolute increases in hMBF and CFR were observed in remote myocardium following CTO revascularisation (from 2.29±0.67 to 2.48±0.75 mL·min-1·g-1 and from 2.48±0.76 to 2.74±0.85, respectively, p<0.01 for both). Improvements in remote myocardial perfusion were largest in patients with a higher increase in hMBF (β 0.58, 95% CI: 0.48-0.67, p<0.01) and CFR (β 0.54, 95% CI: 0.44-0.64, p<0.01) in the CTO territory, independent of clinical, angiographic and procedural characteristics. CONCLUSIONS CTO revascularisation resulted in an increase in remote myocardial perfusion. Furthermore, the quantitative improvement in hMBF and CFR in the CTO territory was independently associated with the absolute perfusion increase in remote myocardial regions. As such, CTO PCI may have a favourable physiologic impact beyond the intended treated myocardium.
Collapse
Affiliation(s)
- Ruben W. de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Stefan P. Schumacher
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pepijn A. van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ruurt A. Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Yvemarie B.O. Somsen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Wynand J. Stuijfzand
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Roel S. Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Michiel J. Bom
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Henk Everaars
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Albert C. van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Peter M. van de Ven
- Department of Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Maksymilian P. Opolski
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | - Niels J. Verouden
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pieter G. Raijmakers
- Radiology, Nuclear Medicine & PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Alex Nap
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Paul Knaapen
- Department of Cardiology Heart Center, Amsterdam UMC, location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| |
Collapse
|
36
|
Driessen RS, van Diemen PA, Raijmakers PG, Knuuti J, Maaniitty T, Underwood SR, Nagel E, Robbers LFHJ, Demirkiran A, von Bartheld MB, van de Ven PM, Hofstra L, Somsen GA, Tulevski II, Boellaard R, van Rossum AC, Danad I, Knaapen P. Functional stress imaging to predict abnormal coronary fractional flow reserve: the PACIFIC 2 study. Eur Heart J 2022; 43:3118-3128. [PMID: 35708168 PMCID: PMC9433308 DOI: 10.1093/eurheartj/ehac286] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 03/31/2022] [Accepted: 05/17/2022] [Indexed: 12/20/2022] Open
Abstract
AIMS The diagnostic performance of non-invasive imaging in patients with prior coronary artery disease (CAD) has not been tested in prospective head-to-head comparative studies. The aim of this study was to compare the diagnostic performance of qualitative single-photon emission computed tomography (SPECT), quantitative positron emission tomography (PET), and qualitative magnetic resonance imaging (MRI) in patients with a prior myocardial infarction (MI) or percutaneous coronary intervention (PCI). METHODS AND RESULTS In this prospective clinical study, all patients with prior MI and/or PCI and new symptoms of ischaemic CAD underwent 99mTc-tetrofosmin SPECT, [15O]H2O PET, and MRI, followed by invasive coronary angiography with fractional flow reserve (FFR) in all coronary arteries. All modalities were interpreted by core laboratories. Haemodynamically significant CAD was defined by at least one coronary artery with an FFR ≤0.80. Among the 189 enrolled patients, 63% had significant CAD. Sensitivity was 67% (95% confidence interval 58-76%) for SPECT, 81% (72-87%) for PET, and 66% (56-75%) for MRI. Specificity was 61% (48-72%) for SPECT, 65% (53-76%) for PET, and 62% (49-74%) for MRI. Sensitivity of PET was higher than SPECT (P = 0.016) and MRI (P = 0.014), whereas specificity did not differ among the modalities. Diagnostic accuracy for PET (75%, 68-81%) did not statistically differ from SPECT (65%, 58-72%, P = 0.03) and MRI (64%, 57-72%, P = 0.052). Using FFR < 0.75 as a reference, accuracies increased to 69% (SPECT), 79% (PET), and 71% (MRI). CONCLUSION In this prospective head-to-head comparative study, SPECT, PET, and MRI did not show a significantly different accuracy for diagnosing FFR defined significant CAD in patients with prior PCI and/or MI. Overall diagnostic performances, however, were discouraging and the additive value of non-invasive imaging in this high-risk population is questionable.
Collapse
Affiliation(s)
- Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Juhani Knuuti
- Department of Clinical Physiology, Nuclear Medicine and PET and Turku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, FI-20520 Turku, Finland
| | - Teemu Maaniitty
- Department of Clinical Physiology, Nuclear Medicine and PET and Turku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, FI-20520 Turku, Finland
| | - S Richard Underwood
- Department of Nuclear Medicine, Royal Brompton Hospital, Sydney St, London SW3 6NP, UK
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Lourens F H J Robbers
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Ahmet Demirkiran
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Martin B von Bartheld
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Peter M van de Ven
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Leonard Hofstra
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.,Department of Cardiology, Cardiology Centers of the Netherlands, 1073 TB Amsterdam, The Netherlands
| | - G Aernout Somsen
- Department of Cardiology, Cardiology Centers of the Netherlands, 1073 TB Amsterdam, The Netherlands
| | - Igor I Tulevski
- Department of Cardiology, Cardiology Centers of the Netherlands, 1073 TB Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| |
Collapse
|
37
|
de Winter RW, Jukema RA, van Diemen PA, Schumacher SP, Driessen RS, Stuijfzand WJ, Everaars H, Bom MJ, van Rossum AC, van de Ven PM, Verouden NJ, Nap A, Raijmakers PG, Danad I, Knaapen P. The impact of coronary revascularization on vessel-specific coronary flow capacity and long-term outcomes: a serial [15O]H2O positron emission tomography perfusion imaging study. Eur Heart J Cardiovasc Imaging 2022; 23:743-752. [PMID: 34878102 PMCID: PMC9159743 DOI: 10.1093/ehjci/jeab263] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 11/25/2021] [Indexed: 11/12/2022] Open
Abstract
AIMS Coronary flow capacity (CFC) integrates quantitative hyperaemic myocardial blood flow (hMBF) and coronary flow reserve (CFR) to comprehensively assess physiological severity of coronary artery disease (CAD). This study evaluated the effects of revascularization on CFC as assessed by serial [15O]H2O positron emission tomography (PET) perfusion imaging. METHODS AND RESULTS A total of 314 patients with stable CAD underwent [15O]H2O PET imaging at baseline and after myocardial revascularization to assess changes in hMBF, CFR, and CFC in 415 revascularized vessels. Using thresholds for ischaemia and normal perfusion, vessels were stratified in five CFC categories: myocardial steal, severely reduced CFC, moderately reduced CFC, minimally reduced CFC, and normal flow. Additionally, the association between CFC increase and the composite endpoint of death and non-fatal myocardial infarction (MI) was studied. Vessel-specific CFC improved after revascularization (P < 0.01). Furthermore, baseline CFC was an independent predictor of CFC increase (P < 0.01). The largest changes in ΔhMBF (0.90 ± 0.74, 0.93 ± 0.65, 0.79 ± 0.74, 0.48 ± 0.61, and 0.29 ± 0.66 mL/min/g) and ΔCFR (1.01 ± 0.88, 0.99 ± 0.69, 0.87 ± 0.88, 0.66 ± 0.91, and -0.01 ± 1.06) were observed in vessels with lower baseline CFC (P < 0.01 for both). During a median follow-up of 3.5 (95% CI 3.1-3.9) years, an increase in CFC was independently associated with lower rates of death and non-fatal MI (HR 0.43, 95% CI 0.19-0.98, P = 0.04). CONCLUSION Successful revascularization results in an increase in CFC. Furthermore, baseline CFC was an independent predictor of change in hMBF, CFR, and subsequently CFC. In addition, an increase in CFC was associated with a favourable outcome in terms of death and non-fatal MI.
Collapse
Affiliation(s)
- Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Stefan P Schumacher
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Wynand J Stuijfzand
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Henk Everaars
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Michiel J Bom
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Peter M van de Ven
- Department of Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Niels J Verouden
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Alexander Nap
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology, Nuclear Medicine & PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| |
Collapse
|
38
|
van Rosendael AR, van den Hoogen IJ, Lin FY, Gianni U, Lu Y, Andreini D, Al-Mallah MH, Cademartiri F, Chinnaiyan K, Chow BJ, Conte E, Cury RC, Feuchtner G, de Araújo Gonçalves P, Hadamitzky M, Kim YJ, Leipsic JA, Maffei E, Marques H, Plank F, Pontone G, Raff GL, Villines TC, Lee SE, Al’Aref SJ, Baskaran L, Cho I, Danad I, Gransar H, Budoff MJ, Samady H, Virmani R, Min JK, Narula J, Berman DS, Chang HJ, Shaw LJ, Bax JJ. Age related compositional plaque burden by CT in patients with future ACS. J Cardiovasc Comput Tomogr 2022; 16:491-497. [DOI: 10.1016/j.jcct.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/15/2022] [Accepted: 05/18/2022] [Indexed: 10/18/2022]
|
39
|
Kuronuma K, Van Diemen P, Han D, Lin A, McElhinney P, Tomasino GF, Park C, Otaki Y, Kwan A, Tzolos E, Klein E, Grodecki K, Shou B, Rios R, Manral N, Cadet S, Danad I, Driessen R, Berman DS, Slomka P, Dey D, Knaapen P. ASSOCIATION BETWEEN VASCULAR INFLAMMATION BY PERICORONARY ADIPOSETISSUE ATTENUATION FROM CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY AND MYOCARDIAL BLOOD FLOW USING POSITRON EMISSION TOMOGRAPHY. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)02210-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
40
|
Jukema R, De Winter RW, Van Diemen P, Driessen R, Danser J, Garrelds I, Raijmakers P, van de Ven P, Knaapen P, Danad I, de Waard G. THE RELATION OF RENIN-ANGIOTENSIN-ALDOSTERONE-SYSTEM ACTIVITY AND ENDOTHELIN-1 LEVELS TO CORONARY ATHEROSCLEROTIC BURDEN AND MICROVASCULAR DYSFUNCTION IN SYMPTOMATIC CHEST PAIN PATIENTS. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)02075-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
41
|
De Winter RW, Schumacher S, Van Diemen P, Jukema R, Somsen Y, Stuijfzand W, Driessen R, Bom M, Everaars H, van Rossum A, van de Ven P, Opolski M, Verouden N, Danad I, Raijmakers P, Nap A, Knaapen P. IMPACT OF PERCUTANEOUS CORONARY INTERVENTION OF CHRONIC TOTAL OCCLUSIONS ON ABSOLUTE PERFUSION IN REMOTE MYOCARDIUM. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)01562-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
42
|
Somsen Y, Giunta R, De Winter RW, Schumacher S, Van Diemen P, Jukema R, Stuijfzand W, Danad I, Verouden N, Nap A, Galassi AR, Henriques JP, Knaapen P. MYOCARDIAL DAMAGE IN CHRONIC TOTAL CORONARY OCCLUSION TERRITORY COLLATERALIZED BY AN INFARCT-RELATED ARTERY: DEFINING DOUBLE JEOPARDY. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)01598-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
43
|
Han D, Lin A, Kuronuma K, Tzolos E, Kwan AC, Klein E, Andreini D, Bax JJ, Cademartiri F, Chinnaiyan K, Chow BJW, Conte E, Cury RC, Feuchtner G, Hadamitzky M, Kim YJ, Leipsic JA, Maffei E, Marques H, Plank F, Pontone G, Villines TC, Al-Mallah MH, de Araújo Gonçalves P, Danad I, Gransar H, Lu Y, Lee JH, Lee SE, Baskaran L, Al’Aref SJ, Yoon YE, Van Rosendael A, Budoff MJ, Samady H, Stone PH, Virmani R, Achenbach S, Narula J, Chang HJ, Min JK, Lin FY, Shaw LJ, Slomka PJ, Dey D, Berman DS. Association of Plaque Location and Vessel Geometry Determined by Coronary Computed Tomographic Angiography With Future Acute Coronary Syndrome-Causing Culprit Lesions. JAMA Cardiol 2022; 7:309-319. [PMID: 35080587 PMCID: PMC8792800 DOI: 10.1001/jamacardio.2021.5705] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
IMPORTANCE Distinct plaque locations and vessel geometric features predispose to altered coronary flow hemodynamics. The association between these lesion-level characteristics assessed by coronary computed tomographic angiography (CCTA) and risk of future acute coronary syndrome (ACS) is unknown. OBJECTIVE To examine whether CCTA-derived adverse geometric characteristics (AGCs) of coronary lesions describing location and vessel geometry add to plaque morphology and burden for identifying culprit lesion precursors associated with future ACS. DESIGN, SETTING, AND PARTICIPANTS This substudy of ICONIC (Incident Coronary Syndromes Identified by Computed Tomography), a multicenter nested case-control cohort study, included patients with ACS and a culprit lesion precursor identified on baseline CCTA (n = 116) and propensity score-matched non-ACS controls (n = 116). Data were collected from July 20, 2012, to April 30, 2017, and analyzed from October 1, 2020, to October 31, 2021. EXPOSURES Coronary lesions were evaluated for the following 3 AGCs: (1) distance from the coronary ostium to lesion; (2) location at vessel bifurcations; and (3) vessel tortuosity, defined as the presence of 1 bend of greater than 90° or 3 curves of 45° to 90° using a 3-point angle within the lesion. MAIN OUTCOMES AND MEASURES Association between lesion-level AGCs and risk of future ACS-causing culprit lesions. RESULTS Of 548 lesions, 116 culprit lesion precursors were identified in 116 patients (80 [69.0%] men; mean [SD], age 62.7 [11.5] years). Compared with nonculprit lesions, culprit lesion precursors had a shorter distance from the ostium (median, 35.1 [IQR, 23.6-48.4] mm vs 44.5 [IQR, 28.2-70.8] mm), more frequently localized to bifurcations (85 [73.3%] vs 168 [38.9%]), and had more tortuous vessel segments (5 [4.3%] vs 6 [1.4%]; all P < .05). In multivariable Cox regression analysis, an increasing number of AGCs was associated with a greater risk of future culprit lesions (hazard ratio [HR] for 1 AGC, 2.90 [95% CI, 1.38-6.08]; P = .005; HR for ≥2 AGCs, 6.84 [95% CI, 3.33-14.04]; P < .001). Adverse geometric characteristics provided incremental discriminatory value for culprit lesion precursors when added to a model containing stenosis severity, adverse morphological plaque characteristics, and quantitative plaque characteristics (area under the curve, 0.766 [95% CI, 0.718-0.814] vs 0.733 [95% CI, 0.685-0.782]). In per-patient comparison, patients with ACS had a higher frequency of lesions with adverse plaque characteristics, AGCs, or both compared with control patients (≥2 adverse plaque characteristics, 70 [60.3%] vs 50 [43.1%]; ≥2 AGCs, 92 [79.3%] vs 60 [51.7%]; ≥2 of both, 37 [31.9%] vs 20 [17.2%]; all P < .05). CONCLUSIONS AND RELEVANCE These findings support the concept that CCTA-derived AGCs capturing lesion location and vessel geometry are associated with risk of future ACS-causing culprit lesions. Adverse geometric characteristics may provide additive prognostic information beyond plaque assessment in CCTA.
Collapse
Affiliation(s)
- Donghee Han
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Andrew Lin
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Keiichiro Kuronuma
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Evangelos Tzolos
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Alan C. Kwan
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Eyal Klein
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Daniele Andreini
- Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Jeroen J. Bax
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Kavitha Chinnaiyan
- Department of Cardiology, William Beaumont Hospital, Royal Oaks, Michigan
| | - Benjamin J. W. Chow
- Department of Medicine and Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Edoardo Conte
- Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | | | - Gudrun Feuchtner
- Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center, Munich, Germany
| | - Yong-Jin Kim
- Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Jonathon A. Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa, Portugal
| | - Fabian Plank
- Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gianluca Pontone
- Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Todd C. Villines
- Cardiology Service, Walter Reed National Military Center, Bethesda, Maryland
| | - Mouaz H. Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas
| | | | - Ibrahim Danad
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - Heidi Gransar
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Yao Lu
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York
| | - Ji-Hyun Lee
- Division of Cardiology, Department of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Goyang, Republic of Korea
| | - Sang-Eun Lee
- Department of Cardiology, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | | | - Subhi J. Al’Aref
- Division of Cardiology, Department of Medicine, University of Arkansas for Medical Sciences, Little Rock
| | - Yeonyee E. Yoon
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York
| | - Alexander Van Rosendael
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York
| | - Matthew J. Budoff
- Department of Medicine, Lundquist Institute at Harbor-UCLA (University of California, Los Angeles), Torrance, California
| | - Habib Samady
- Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia
| | - Peter H. Stone
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, Maryland
| | | | - Jagat Narula
- Department of Cardiology, Icahn School of Medicine at Mt Sinai Hospital, New York, New York
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Integrative Cardiovascular Imaging Center, Yonsei University College of Medicine, Seoul, South Korea
| | | | - Fay Y. Lin
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York
| | - Leslee J. Shaw
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York
| | - Piotr J. Slomka
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Damini Dey
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Daniel S. Berman
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| |
Collapse
|
44
|
De Winter RW, Van Diemen P, Schumacher S, Jukema R, Somsen Y, Bom M, Everaars H, van Rossum A, Verouden N, Raijmakers P, Nap A, Driessen R, Danad I, Knaapen P. CONCORDANT LOW AND DISCORDANT FRACTIONAL FLOW RESERVE AND INSTANTANEOUS WAVE-FREE RATIO MEASUREMENTS ARE ASSOCIATED WITH REDUCED MYOCARDIAL PERFUSION:A COMPARISON BETWEEN PRESSURE RATIO MEASUREMENTS AND 15O-WATER PET PERFUSION IMAGING. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)02187-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
|
45
|
Han D, Van Diemen P, Kuronuma K, Lin A, McElhinney P, Tomasino GF, Park C, Otaki Y, Kwan A, Tzolos E, Klein E, Grodecki K, Shou B, Rios R, Manral N, Cadet S, Danad I, Driessen R, Berman DS, Slomka P, Dey D, Knaapen P. SEX DIFFERENCES IN QUANTITATIVE COMPUTED TOMOGRAPHY CORONARY PLAQUE CHARACTERIZATION AND FRACTIONAL FLOW RESERVE: SUBSTUDY OF THE PACIFIC TRIAL. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)02202-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
46
|
Seligman H, Nijjer SS, van de Hoef TP, de Waard GA, Mejía-Rentería H, Echavarria-Pinto M, Shun-Shin MJ, Howard JP, Cook CM, Warisawa T, Ahmad Y, Androshchuk V, Rajkumar C, Nowbar A, Kelshiker MA, van Lavieren MA, Meuwissen M, Danad I, Knaapen P, Sen S, Al-Lamee R, Mayet J, Escaned J, Piek JJ, van Royen N, Davies JE, Francis DP, Petraco R. Phasic flow patterns of right versus left coronary arteries in patients undergoing clinical physiological assessment. EUROINTERVENTION 2022; 17:1260-1270. [PMID: 34338643 PMCID: PMC9724998 DOI: 10.4244/eij-d-21-00189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 07/27/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Coronary blood flow in humans is known to be predominantly diastolic. Small studies in animals and humans suggest that this is less pronounced or even reversed in the right coronary artery (RCA). AIMS This study aimed to characterise the phasic patterns of coronary flow in the left versus right coronary arteries of patients undergoing invasive physiological assessment. METHODS We analysed data from the Iberian-Dutch-English Collaborators (IDEAL) study. A total of 482 simultaneous pressure and flow measurements from 301 patients were included in our analysis. RESULTS On average, coronary flow was higher in diastole both at rest and during hyperaemia in both the RCA and LCA (mean diastolic-to-systolic velocity ratio [DSVR] was, respectively, 1.85±0.70, 1.76±0.58, 1.53±0.34 and 1.58±0.43 for LCArest, LCAhyp, RCArest and RCAhyp, p<0.001 for between-vessel comparisons). Although the type of RCA dominance affected the DSVR magnitude (RCAdom=1.55±0.35, RCAco-dom=1.40±0.27, RCAnon-dom=1.35; standard deviation not reported as n=3), systolic flow was very rarely predominant (DSVR was greater than or equal to 1.00 in 472/482 cases [97.9%] overall), with equal prevalence in the LCA. Stenosis severity or microvascular dysfunction had a negligible impact on DSVR in both the RCA and LCA (DSVR x hyperaemic stenosis resistance R2 =0.018, p=0.03 and DSVR x coronary flow reserve R2 <0.001, p=0.98). CONCLUSIONS In patients with coronary artery disease undergoing physiological assessment, diastolic flow predominance is seen in both left and right coronary arteries. Clinical interpretation of coronary physiological data should therefore not differ between the left and the right coronary systems.
Collapse
Affiliation(s)
- Henry Seligman
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Sukhjinder S Nijjer
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | | | | | - Hernán Mejía-Rentería
- Hospital Clínico San Carlos IDISSC and Universidad Complutense de Madrid, Madrid, Spain
| | | | - Matthew J Shun-Shin
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - James P Howard
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Christopher M Cook
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Takayuki Warisawa
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Yousif Ahmad
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | | | - Christopher Rajkumar
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Alexandra Nowbar
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Mihir A Kelshiker
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | | | | | | | - Paul Knaapen
- VU University Medical Center, Amsterdam, the Netherlands
| | - Sayan Sen
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Rasha Al-Lamee
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Jamil Mayet
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Javier Escaned
- Hospital Clínico San Carlos IDISSC and Universidad Complutense de Madrid, Madrid, Spain
| | - Jan J Piek
- Academic Medical Centre, Amsterdam, the Netherlands
| | - Niels van Royen
- Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Justin E Davies
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Darrel P Francis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Ricardo Petraco
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| |
Collapse
|
47
|
De Winter RW, Schumacher SP, Van Diemen PA, Jukema RA, Somsen YBO, Stuijfzand WJ, Bom MJ, Everaars H, Van Rossum AC, Van De Ven PM, Verouden NJ, Danad I, Raijmakers PG, Nap A, Knaapen P. The effect of chronic total coronary occlusion percutaneous coronary intervention on absolute perfusion in remote myocardium. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Successful revascularization of a chronic total coronary occlusion (CTO) impacts coronary physiology of the remote myocardial territory.
Purpose
This study evaluated the effect of CTO percutaneous coronary intervention (PCI) on changes in absolute perfusion in remote myocardium as assessed by serial [15O]H2O positron emission tomography (PET) perfusion imaging.
Methods
A total of 164 patients underwent [15O]H2O PET imaging at baseline and 3 months after successful single-vessel revascularization of a CTO to evaluate changes in hyperemic myocardial blood flow (hMBF) and coronary flow reserve (CFR) in the remote myocardial territory supplied by both non-target coronary arteries.
Results
Remote hMBF and CFR improved (2.29±0.67 to 2.48±0.75 mL min–1 g–1 and 2.48±0.76 to 2.74±0.85, respectively) after CTO revascularization (p<0.01 for both). Absolute perfusion indices in the CTO vessel and the remote myocardium showed a positive linear correlation, both before (r=0.75, p<0.01 and r=0.77, p<0.01 for hMBF and CFR, respectively) and after (hMBF: r=0.87, p<0.01 and CFR: r=0.81, p<0.01) CTO PCI. Absolute increases in remote myocardial perfusion were largest in patients with a higher increase in hMBF (βeta [β] 0.56; 95% CI: 0.47–0.65; p<0.01) and CFR (β 0.51 (0.42–0.60); p<0.01) in the CTO territory, independent of clinical, angiographic and procedural characteristics. Furthermore, baseline (hMBF: β −0.24 (−0.39, −0.08); p<0.01 and CFR: β −0.26 (−0.41, −0.11); p<0.01) and post-PCI perfusion (hMBF: β 0.36; (0.27, 0.46); p<0.01 and CFR: β 0.30 (0.21, 0.40); p<0.01) in the CTO vessel were independently associated with the increase in remote myocardial perfusion after CTO PCI.
Conclusions
An overall increase in remote myocardial perfusion was observed following CTO PCI. Absolute perfusion indices in the remote myocardium showed a positive linear correlation with perfusion in the CTO vessel, before and after CTO revascularization. Importantly, baseline, post-PCI and the absolute increase in perfusion in the CTO territory were independently associated with increases in remote myocardial perfusion after revascularization.
Funding Acknowledgement
Type of funding sources: None. Figure 1Figure 2
Collapse
Affiliation(s)
- R W De Winter
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - S P Schumacher
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - P A Van Diemen
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - R A Jukema
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - Y B O Somsen
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - W J Stuijfzand
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - M J Bom
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - H Everaars
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - A C Van Rossum
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - P M Van De Ven
- Amsterdam UMC - Location VUmc, Epidemiology and biostatistics, Amsterdam, Netherlands (The)
| | - N J Verouden
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - I Danad
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - P G Raijmakers
- Amsterdam UMC - Location VUmc, Radiology and nuclear medicine, Amsterdam, Netherlands (The)
| | - A Nap
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| | - P Knaapen
- Amsterdam UMC - Location VUmc, Cardiology, Amsterdam, Netherlands (The)
| |
Collapse
|
48
|
Lin A, Van Diemen P, Motwani M, McElhinney P, Otaki Y, Han D, Kwan A, Tzolos E, Cadet S, Danad I, Driessen R, Slomka PJ, Berman DS, Dey D, Knaapen P. Machine learning from quantitative coronary computed tomography angiography predicts ischemia and impaired myocardial blood flow. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Atherosclerotic plaque characteristics influence the hemodynamic consequences of coronary lesions. This study sought to assess the performance of a machine learning (ML) score integrating coronary computed tomography angiography (CCTA)-based quantitative plaque features for the prediction of ischemia by invasive fractional flow reserve (FFR) and impaired myocardial blood flow (MBF) by [15O]H2O positron emission tomography (PET).
Methods
This post-hoc analysis of the PACIFIC (Prospective Comparison of Cardiac PET/CT, SPECT/CT Perfusion Imaging and CT Coronary Angiography With Invasive Coronary Angiography) trial included 208 patients with suspected coronary artery disease who underwent CCTA, [15O]H2O PET, and 3-vessel invasive FFR. Plaque quantification from CCTA was performed using semiautomated software. A boosted ensemble ML algorithm (XGBoost) trained on data from the NXT (Analysis of Coronary Blood Flow using CT Angiography: Next Steps) trial was used to develop a ML score for the prediction of per-vessel ischemia (invasive FFR ≤0.80). The performance of the ML score was evaluated in 551 vessels from the PACIFIC trial for external validation. Thereafter, we assessed the discriminative ability of the ML score for per-vessel impaired hyperemic MBF (≤2.30 mL/min/g).
Results
In total, 138 (25.0%) vessels had ischemia and 195 (35.4%) vessels had impaired hyperemic MBF. CCTA-derived quantitative percent diameter stenosis and low-density noncalcified plaque (LDNCP) volume were higher in ischemic vessels compared with non-ischemic vessels (60.8% vs. 19.9%; and 42.3 mm3 vs. 9.1 mm3; both p<0.001). The ML score demonstrated a significantly higher area under the receiver-operating characteristic curve (AUC) for predicting ischemia (0.92, 95% confidence interval [CI] 0.89–0.94) compared with visual stenosis grade (0.84, 95% CI 0.80–0.87; p<0.001). Overall, quantitative percent diameter stenosis and LDNCP volume had greatest feature importance for ML, followed by percent area stenosis, minimum luminal diameter, and contrast density drop (Figure 1). An individualized explanation of ML ischemia prediction is shown in Figure 2. When applied for impaired MBF discrimination, the ML score exhibited an AUC of 0.82 (95% CI 0.78–0.85) and was superior to visual stenosis grade (AUC 0.76, 95% CI 0.72–0.80; p=0.03).
Conclusions
An externally validated ML score integrating CCTA-based quantitative plaque features accurately predicts FFR-defined ischemia and abnormal MBF by PET, outperforming standard visual CCTA interpretation.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Heart, Lung, and Blood Institute, United States Performance of the ML scoreIndividual explanation of ML prediction
Collapse
Affiliation(s)
- A Lin
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - P Van Diemen
- VU University Medical Center, Amsterdam, Netherlands (The)
| | - M Motwani
- Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - P McElhinney
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - Y Otaki
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - D Han
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - A Kwan
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - E Tzolos
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - S Cadet
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - I Danad
- VU University Medical Center, Amsterdam, Netherlands (The)
| | - R Driessen
- VU University Medical Center, Amsterdam, Netherlands (The)
| | - P J Slomka
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - D S Berman
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - D Dey
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - P Knaapen
- VU University Medical Center, Amsterdam, Netherlands (The)
| |
Collapse
|
49
|
Van Diemen PA, De Winter RW, Schumacher SP, Bom MJ, Driessen RS, Everaars H, Jukema R, Van Rossum AC, Nap A, Verouden NJ, Opolski M, Danad I, Knaapen P. Residual quantitative flow ratio to estimate post-intervention fractional flow reserve. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Objective
To assess the performance of residual quantitative flow ratio (QFR) to estimate post percutaneous coronary intervention (PCI) fractional flow reserve (FFR).
Background
QFR computes FFR based on invasive coronary angiography (ICA) images. Residual QFR is a novel tool that assesses the functional outcome of an intervention by estimating post-PCI FFR.
Methods
Residual QFR analyses, using pre-PCI ICA images, were attempted in 159 vessels with post-PCI FFR measurements. QFR lesion location was matched with the treated segment to allow virtual removal of the lesion similar to the performed PCI and computation of residual QFR (Picture 1: case example of residual QFR analysis). A post-PCI FFR <0.90 was used to define a suboptimal PCI result.
Results
Residual QFR computation was successful in 128 (81%) vessels. Median residual QFR was higher than post-PCI FFR (0.96 interquartile range (IQR): 0.91–0.99 vs. 0.91 IQR: 0.86–0.96, p<0.001). A moderate correlation and agreement was observed between residual QFR and post-PCI FFR (Spearman correlation coefficient=0.56 and Intraclass correlation coefficient=0.47, p<0.001 for both). Following PCI, an FFR <0.90 was observed in 54 (42%) vessels. Specificity, positive predictive value, sensitivity, and negative predictive value of residual QFR for determining a suboptimal PCI result were 96% (95% confidence interval (CI): 87–99%), 89% (95% CI: 72–96%), 44% (95% CI: 31–59%), and 70% (95% CI: 65–75%), respectively. Overall, residual QFR had an accuracy of 74% (95% CI: 66–82%) and an area under the receiver operating characteristic curve of 0.79 for assessing a post PCI FFR <0.90.
Conclusion
A moderate correlation and agreement between residual QFR and post-PCI FFR was observed. Residual QFR ≥0.90 does not necessarily commensurate with an optimal PCI result. However, residual QFR <0.90 is a good indicator of a post-PCI FFR <0.90 and might therefore be utilized to determine PCI location in order to obtain a satisfactory PCI result (Picture 2: central illustration).
Funding Acknowledgement
Type of funding sources: None. Case example of residual QFR analysisCentral illustration
Collapse
Affiliation(s)
- P A Van Diemen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - R W De Winter
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - S P Schumacher
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - M J Bom
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - R S Driessen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - H Everaars
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - R Jukema
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - A C Van Rossum
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - A Nap
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - N J Verouden
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - M Opolski
- Institute of Cardiology, Interventional Cardiology and Angiology, Warsaw, Poland
| | - I Danad
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| | - P Knaapen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cardiology, Amsterdam, Netherlands (The)
| |
Collapse
|
50
|
van Diemen PA, Wijmenga JT, Driessen RS, Bom MJ, Schumacher SP, Stuijfzand WJ, Everaars H, de Winter RW, Raijmakers PG, van de Ven PM, van Rossum AC, Danad I, Knaapen P. Defining the prognostic value of [15O]H2O positron emission tomography-derived myocardial ischaemic burden. Eur Heart J Cardiovasc Imaging 2021; 22:638-646. [PMID: 33200201 DOI: 10.1093/ehjci/jeaa305] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 10/23/2020] [Indexed: 11/14/2022] Open
Abstract
AIMS Myocardial ischaemic burden (IB) is used for the risk stratification of patients with coronary artery disease (CAD). This study sought to define a prognostic threshold for quantitative [15O]H2O positron emission tomography (PET)-derived IB. METHODS AND RESULTS A total of 623 patients with suspected or known CAD who underwent [15O]H2O PET perfusion imaging were included. The endpoint was a composite of death and non-fatal myocardial infarction (MI). A hyperaemic myocardial blood flow (hMBF) and myocardial flow reserve (MFR)-derived IB were determined. During a median follow-up time of 6.7 years, 62 patients experienced an endpoint. A hMBF IB of 24% and MFR IB of 28% were identified as prognostic thresholds. Patients with a high hMBF or MFR IB (above threshold) had worse outcome compared to patients with a low hMBF IB [annualized event rates (AER): 2.8% vs. 0.6%, P < 0.001] or low MFR IB [AER: 2.4% vs. 0.6%, P < 0.001]. Patients with a concordant high IB had the worst outcome (AER: 3.1%), whereas patients with a concordant low or discordant IB result had similar and low AERs of 0.5% and 0.9% (P = 0.953), respectively. Both thresholds were of prognostic value beyond clinical characteristics, however, only the hMBF IB threshold remained predictive when adjusted for clinical characteristics and combined use of the hMBF and MFR thresholds. CONCLUSION A hMBF IB ≥24% was a stronger predictor of adverse outcome than an MFR IB ≥28%. Nevertheless, classifying patients according to concordance of IB result allowed for the identification of low- and high-risk patients.
Collapse
Affiliation(s)
- Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Jan-Thijs Wijmenga
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Michiel J Bom
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Stefan P Schumacher
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Wynand J Stuijfzand
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Henk Everaars
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology, Nuclear Medicine & PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Peter M van de Ven
- Department of Epidemiology & Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| |
Collapse
|