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Yang W, Yu L, Yu Y, Dai X, Yang W, Zhang J. Novel motion correction algorithm improves diagnostic performance of CT fractional flow reserve. Eur J Radiol 2024; 176:111538. [PMID: 38838412 DOI: 10.1016/j.ejrad.2024.111538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/23/2024] [Accepted: 05/28/2024] [Indexed: 06/07/2024]
Abstract
OBJECTIVES This study aimed to investigate the diagnostic performance of computed tomography (CT) fractional flow reserve (CT-FFR) derived from standard images (STD) and images processed via first-generation (SnapShot Freeze, SSF1) and second-generation (SnapShot Freeze 2, SSF2) motion correction algorithms. METHODS 151 patients who underwent coronary CT angiography (CCTA) and invasive coronary angiography (ICA)/FFR within 3 months were retrospectively included. CCTA images were reconstructed using an iterative reconstruction technique and then further processed through SSF1 and SSF2 algorithms. All images were divided into three groups: STD, SSF1, and SSF2. Obstructive stenosis was defined as a diameter stenosis of ≥ 50 % in the left main artery or ≥ 70 % in other epicardial vessels. Stenosis with an FFR of ≤ 0.8 or a diameter stenosis of ≥ 90 % (as revealed via ICA) was considered ischemic. In patients with multiple lesions, the lesion with lowest CT-FFR was used for patient-level analysis. RESULTS The overall quality score in SSF2 group (median = 3.67) was markedly higher than that in STD (median = 3) and SSF1 (median = 3) groups (P < 0.001). The best correlation (r = 0.652, P < 0.001) and consistency (mean difference = 0.04) between the CT-FFR and FFR values were observed in the SSF2 group. At the per-lesion level, CT-FFRSSF2 outperformed CT-FFRSSF1 in diagnosing ischemic lesions (area under the curve = 0.887 vs. 0.795, P < 0.001). At the per-patient level, the SSF2 group also demonstrated the highest diagnostic performance. CONCLUSION The SSF2 algorithm significantly improved CCTA image quality and enhanced its diagnostic performance for evaluating stenosis severity and CT-FFR calculations.
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Affiliation(s)
- Wenli Yang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Lihua Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Yarong Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Xu Dai
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Wenyi Yang
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Jiayin Zhang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China.
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Dahl JN, Rasmussen LD, Ding D, Tu S, Westra J, Wijns W, Christiansen EH, Eftekhari A, Li G, Winther S, Bøttcher M. Optimal diagnostic approach for using CT-derived quantitative flow ratio in patients with stenosis on coronary computed tomography angiography. J Cardiovasc Comput Tomogr 2024; 18:162-169. [PMID: 38242777 DOI: 10.1016/j.jcct.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/27/2023] [Accepted: 01/06/2024] [Indexed: 01/21/2024]
Abstract
BACKGROUND Coronary computed tomography angiography (CCTA)-derived quantitative flow ratio (CT-QFR) is an on-site non-invasive technique estimating invasive fractional flow reserve (FFR). This study assesses the diagnostic performance of using most distal CT-QFR versus lesion-specific CT-QFR approach for identifying hemodynamically obstructive coronary artery disease (CAD). METHODS Prospectively enrolled de novo chest pain patients (n = 445) with ≥50 % visual diameter stenosis on CCTA were referred for invasive evaluation. On-site CT-QFR was analyzed post-hoc blinded to angiographic data and obtained as both most distal (MD-QFR) and lesion-specific CT-QFR (LS-QFR). Abnormal CT-QFR was defined as ≤0.80. Hemodynamically obstructive CAD was defined as invasive FFR ≤0.80 or ≥70 % diameter stenosis by 3D-quantitative coronary angiography. RESULTS In total 404/445 patients had paired CT-QFR and invasive analyses of whom 149/404 (37 %) had hemodynamically obstructive CAD. MD-QFR and LS-QFR classified 188 (47 %) and 165 (41 %) patients as abnormal, respectively. Areas under the receiver-operating characteristic curve for MD-QFR was 0.83 vs. 0.85 for LS-QFR, p = 0.01. Sensitivities for MD-QFR and LS-QFR were 80 % (95%CI: 73-86) vs. 77 % (95%CI: 69-83), p = 0.03, respectively, and specificities were 73 % (95%CI: 67-78) vs. 80 % (95%CI: 75-85), p < 0.01, respectively. Positive predictive values for MD-QFR and LS-QFR were 63 % vs. 69 %, p < 0.01, respectively, and negative predictive values for MD-QFR and LS-QFR were 86 % vs. 85 %, p = 0.39, respectively). CONCLUSION Using a lesion-specific CT-QFR approach has superior discrimination of hemodynamically obstructive CAD compared to a most distal CT-QFR approach. CT-QFR identified most cases of hemodynamically obstructive CAD while a normal CT-QFR excluded hemodynamically obstructive CAD in the majority of patients.
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Affiliation(s)
- Jonathan N Dahl
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Laust D Rasmussen
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
| | - Daixin Ding
- The Lambe Institute for Translational Research and Curam, University of Galway, Ireland; Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, China.
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, China; Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China.
| | - Jelmer Westra
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aarhus University Hospital, Denmark.
| | - William Wijns
- The Lambe Institute for Translational Research and Curam, University of Galway, Ireland.
| | - Evald Høj Christiansen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aarhus University Hospital, Denmark.
| | - Ashkan Eftekhari
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
| | - Guanyu Li
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, China.
| | - Simon Winther
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Morten Bøttcher
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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Winther S, Dupont Rasmussen L, Westra J, Abdulzahra SRK, Dahl JN, Gormsen LC, Christiansen EH, Brix GS, Mortensen J, Ejlersen JA, Søndergaard HM, Hansson NCL, Holm NR, Knudsen LL, Eftekhari A, Møller PL, Rohde PD, Nyegaard M, Böttcher M. Danish study of Non-Invasive Testing in Coronary Artery Disease 3 (Dan-NICAD 3): study design of a controlled study on optimal diagnostic strategy. Open Heart 2023; 10:e002328. [PMID: 37487656 PMCID: PMC10373750 DOI: 10.1136/openhrt-2023-002328] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 07/07/2023] [Indexed: 07/26/2023] Open
Abstract
INTRODUCTION Current guideline recommend functional imaging for myocardial ischaemia if coronary CT angiography (CTA) has shown coronary artery disease (CAD) of uncertain functional significance. However, diagnostic accuracy of selective myocardial perfusion imaging after coronary CTA is currently unclear. The Danish study of Non-Invasive testing in Coronary Artery Disease 3 trial is designed to evaluate head to head the diagnostic accuracy of myocardial perfusion imaging with positron emission tomography (PET) using the tracers 82Rubidium (82Rb-PET) compared with oxygen-15 labelled water PET (15O-water-PET) in patients with symptoms of obstructive CAD and a coronary CT scan with suspected obstructive CAD. METHODS AND ANALYSIS This prospective, multicentre, cross-sectional study will include approximately 1000 symptomatic patients without previous CAD. Patients are included after referral to coronary CTA. All patients undergo a structured interview and blood is sampled for genetic and proteomic analysis and a coronary CTA. Patients with possible obstructive CAD at coronary CTA are examined with both 82Rb-PET, 15O-water-PET and invasive coronary angiography with three-vessel fractional flow reserve and thermodilution measurements of coronary flow reserve. After enrolment, patients are followed with Seattle Angina Questionnaires and follow-up PET scans in patients with an initially abnormal PET scan and for cardiovascular events in 10 years. ETHICS AND DISSEMINATION Ethical approval was obtained from Danish regional committee on health research ethics. Written informed consent will be provided by all study participants. Results of this study will be disseminated via articles in international peer-reviewed journal. TRIAL REGISTRATION NUMBER NCT04707859.
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Affiliation(s)
- Simon Winther
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark
| | | | - Jelmer Westra
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | | | | | | | | | | | - Jesper Mortensen
- Department of Nuclear Medicine, Gødstrup Hospital, Herning, Denmark
| | - June Anita Ejlersen
- Department of Nuclear Medicine, Regional Hospital Central Jutland, Viborg, Denmark
| | | | | | | | | | - Ashkan Eftekhari
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Peter L Møller
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Palle Duun Rohde
- Department of Health, Science and Technology, Aalborg University, Aalborg, Denmark
| | - Mette Nyegaard
- Health Science and Technology, Aalborg Universitet, Gistrup, Denmark
| | - Morten Böttcher
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark
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Hu F, Ding D, Westra J, Li Y, Yu W, Wang Z, Kubo T, Chico JLG, Chen Y, Wijns W, Tu S. Diagnostic accuracy of optical flow ratio: an individual patient-data meta-analysis. EUROINTERVENTION 2023; 19:e145-e154. [PMID: 36950895 PMCID: PMC10242661 DOI: 10.4244/eij-d-22-01098] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 01/18/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND Optical flow ratio (OFR) is a novel method for the fast computation of fractional flow reserve (FFR) from optical coherence tomography. AIMS We aimed to evaluate the diagnostic accuracy of OFR in assessing intermediate coronary stenosis using wire-based FFR as the reference. METHODS We performed an individual patient-level meta-analysis of all available studies with paired OFR and FFR assessments. The primary outcome was vessel-level diagnostic concordance of the OFR and FFR, using a cut-off of ≤0.80 to define ischaemia and ≤0.90 to define suboptimal post-percutaneous coronary intervention (PCI) physiology. This meta-analysis was registered in PROSPERO (CRD42021287726). RESULTS Five studies were finally included, providing 574 patients and 626 vessels (404 pre-PCI and 222 post-PCI) with paired OFR and FFR from 9 international centres. Vessel-level diagnostic concordance of the OFR and FFR was 91% (95% confidence interval [CI]: 88%-94%), 87% (95% CI: 82%-91%), and 90% (95% CI: 87%-92%) in pre-PCI, post-PCI, and overall, respectively. The overall sensitivity, specificity, and positive and negative predictive values were 84% (95% CI: 79%-88%), 94% (95% CI: 92%-96%), 90% (95% CI: 86%-93%), and 89% (95% CI: 86%-92%), respectively. Multivariate logistic regression indicated that a low pullback speed (odds ratio [OR] 7.02, 95% CI: 1.68-29.43; p=0.008) was associated with a higher risk of obtaining OFR values at least 0.10 higher than FFR. Increasing the minimal lumen area was associated with a lower risk of obtaining an OFR at least 0.10 lower than FFR (OR 0.39, 95% CI: 0.18-0.82; p=0.013). CONCLUSIONS This individual patient data meta-analysis demonstrated a high diagnostic accuracy of OFR. OFR has the potential to provide an improved integration of intracoronary imaging and physiological assessment for the accurate evaluation of coronary artery disease.
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Affiliation(s)
- Fukang Hu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Daixin Ding
- The Lambe Institute for Translational Research, Smart Sensors Laboratory and CURAM, University of Galway, Galway, Ireland
| | - Jelmer Westra
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Yingguang Li
- Kunshan Industrial Technology Research Institute, Suzhou, People's Republic of China
| | - Wei Yu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Zhiqing Wang
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian, China
| | - Takashi Kubo
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan
| | | | - Yundai Chen
- Department of Cardiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - William Wijns
- The Lambe Institute for Translational Research, Smart Sensors Laboratory and CURAM, University of Galway, Galway, Ireland
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
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Lan Z, Ding X, Yu Y, Yu L, Yang W, Dai X, Ling R, Wang Y, Yang W, Zhang J. CT-derived fractional flow reserve for prediction of major adverse cardiovascular events in diabetic patients. Cardiovasc Diabetol 2023; 22:65. [PMID: 36944990 PMCID: PMC10032006 DOI: 10.1186/s12933-023-01801-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/13/2023] [Indexed: 03/23/2023] Open
Abstract
OBJECTIVES To investigate the prognostic value of computed tomography fractional flow reserve (CT-FFR) in patients with diabetes and to establish a risk stratification model for major adverse cardiac event (MACE). METHODS Diabetic patients with intermediate pre-test probability of coronary artery disease were prospectively enrolled. All patients were referred for coronary computed tomography angiography and followed up for at least 2 years. In the training cohort comprising of 957 patients, two models were developed: model1 with the inclusion of clinical and conventional imaging parameters, model2 incorporating the above parameters + CT-FFR. An internal validation cohort comprising 411 patients and an independent external test cohort of 429 patients were used to validate the proposed models. RESULTS 1797 patients (mean age: 61.0 ± 7.0 years, 1031 males) were finally included in the present study. MACE occurred in 7.18% (129/1797) of the current cohort during follow- up. Multivariate Cox regression analysis revealed that CT-FFR ≤ 0.80 (hazard ratio [HR] = 4.534, p < 0.001), HbA1c (HR = 1.142, p = 0.015) and low attenuation plaque (LAP) (HR = 3.973, p = 0.041) were the independent predictors for MACE. In the training cohort, the Log-likelihood test showed statistical significance between model1 and model2 (p < 0.001). The C-index of model2 was significantly larger than that of model1 (C-index = 0.82 [0.77-0.87] vs. 0.80 [0.75-0.85], p = 0.021). Similar findings were found in internal validation and external test cohorts. CONCLUSION CT-FFR was a strong independent predictor for MACE in diabetic cohort. The model incorporating CT-FFR, LAP and HbA1c yielded excellent performance in predicting MACE.
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Affiliation(s)
- Ziting Lan
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Xiaoying Ding
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Yarong Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Lihua Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Wenli Yang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Xu Dai
- Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China
| | - Runjianya Ling
- Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China
| | - Yufan Wang
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Wenyi Yang
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China.
| | - Jiayin Zhang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China.
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Verdoia M, Rognoni A. Coronary Physiology: Modern Concepts for the Guidance of Percutaneous Coronary Interventions and Medical Therapy. J Clin Med 2023; 12:2274. [PMID: 36983275 PMCID: PMC10057250 DOI: 10.3390/jcm12062274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/08/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Recent evidence on ischemia, rather than coronary artery disease (CAD), representing a major determinant of outcomes, has led to a progressive shift in the management of patients with ischemic heart disease. According to most recent guidelines, myocardial revascularization strategies based on anatomical findings should be progressively abandoned in favor of functional criteria for the guidance of PCI. Thus, emerging importance has been assigned to the assessment of coronary physiology in order to determine the ischemic significance of coronary stenoses. However, despite several indexes and tools that have been developed so far, the existence of technical and clinical conditions potentially biasing the functional evaluation of the coronary tree still cause debates regarding the strategy of choice. The present review provides an overview of the available methods and the most recent acquirements for the invasive assessment of ischemia, focusing on the most widely available indexes, fractional flow reserve (FFR) and instant-wave free ratio (iFR), in addition to emerging examples, as new approaches to coronary flow reserve (CFR) and microvascular resistance, aiming at promoting the knowledge and application of those "full physiology" principles, which are generally advocated to allow a tailored treatment and the achievement of the largest prognostic benefits.
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Affiliation(s)
- Monica Verdoia
- Nuovo Ospedale Degli Infermi, Azienda Sanitaria Locale Biella, 13900 Biella, Italy
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Fezzi S, Huang J, Lunardi M, Ding D, Ribichini FL, Tu S, Wijns W. Coronary physiology in the catheterisation laboratory: an A to Z practical guide. ASIAINTERVENTION 2022; 8:86-109. [PMID: 36798834 PMCID: PMC9890586 DOI: 10.4244/aij-d-22-00022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/21/2022] [Indexed: 11/16/2022]
Abstract
Coronary revascularisation, either percutaneous or surgical, aims to improve coronary flow and relieve myocardial ischaemia. The decision-making process in patients with coronary artery disease (CAD) remains largely based on invasive coronary angiography (ICA), even though until recently ICA could not assess the functional significance of coronary artery stenoses. Invasive wire-based approaches for physiological evaluations were developed to properly assess the ischaemic relevance of epicardial CAD. Fractional flow reserve (FFR) and later, instantaneous wave-free ratio (iFR), were shown to improve clinical outcomes in several patient subsets when used for coronary revascularisation guidance or deferral and for procedural optimisation of percutaneous coronary intervention (PCI) results. Despite accumulating evidence and positive guideline recommendations, the adoption of invasive physiology has remained quite low, mainly due to technical and economic issues as well as to operator-resistance to change. Coronary image-based computational physiology has been recently developed, with promising results in terms of accuracy and a reduction in computational time, costs, radiation exposure and risks for the patient. Lastly, the integration of intracoronary imaging and physiology allows for individualised PCI treatment, aiming at complete relief of ischaemia through optimised morpho-functional immediate procedural results. Instead of a conventional state-of-the-art review, this A to Z dictionary attempts to provide a practical guide for the application of coronary physiology in the catheterisation laboratory, exploring several methods, their pitfalls, and useful tips and tricks.
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Affiliation(s)
- Simone Fezzi
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland,Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Jiayue Huang
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland,Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Mattia Lunardi
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland,Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Daixin Ding
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland,Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Flavio L. Ribichini
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China,Department of Cardiology, Fujian Medical University Union Hospital, Fujian, China
| | - William Wijns
- The Lambe Institute for Translational Research, Galway National University of Ireland Galway (NUIG), Costello Road, Shantalla, Galway, H91 V4AY, Ireland
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Andreini D. Combined functional and anatomical assessment of coronary stenosis by coronary CT angiography. EUROINTERVENTION 2021; 17:534-535. [PMID: 34554095 PMCID: PMC9707466 DOI: 10.4244/eijv17i7a96] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Daniele Andreini
- Centro Cardiologico Monzino, Via Carlo Parea 4, 20138 Milan, Italy
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