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Yoshida K, Tanabe Y, Hosokawa T, Morikawa T, Fukuyama N, Kobayashi Y, Kouchi T, Kawaguchi N, Matsuda M, Kido T, Kido T. Coronary computed tomography angiography for clinical practice. Jpn J Radiol 2024; 42:555-580. [PMID: 38453814 PMCID: PMC11139719 DOI: 10.1007/s11604-024-01543-1] [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: 07/14/2023] [Accepted: 01/28/2024] [Indexed: 03/09/2024]
Abstract
Coronary artery disease (CAD) is a common condition caused by the accumulation of atherosclerotic plaques. It can be classified into stable CAD or acute coronary syndrome. Coronary computed tomography angiography (CCTA) has a high negative predictive value and is used as the first examination for diagnosing stable CAD, particularly in patients at intermediate-to-high risk. CCTA is also adopted for diagnosing acute coronary syndrome, particularly in patients at low-to-intermediate risk. Myocardial ischemia does not always co-exist with coronary artery stenosis, and the positive predictive value of CCTA for myocardial ischemia is limited. However, CCTA has overcome this limitation with recent technological advancements such as CT perfusion and CT-fractional flow reserve. In addition, CCTA can be used to assess coronary artery plaques. Thus, the indications for CCTA have expanded, leading to an increased demand for radiologists. The CAD reporting and data system (CAD-RADS) 2.0 was recently proposed for standardizing CCTA reporting. This RADS evaluates and categorizes patients based on coronary artery stenosis and the overall amount of coronary artery plaque and links this to patient management. In this review, we aimed to review the major trials and guidelines for CCTA to understand its clinical role. Furthermore, we aimed to introduce the CAD-RADS 2.0 including the assessment of coronary artery stenosis, plaque, and other key findings, and highlight the steps for CCTA reporting. Finally, we aimed to present recent research trends including the perivascular fat attenuation index, artificial intelligence, and the advancements in CT technology.
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Affiliation(s)
- Kazuki Yoshida
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Yuki Tanabe
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
| | - Takaaki Hosokawa
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Tomoro Morikawa
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Naoki Fukuyama
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Yusuke Kobayashi
- Department of Radiology, Matsuyama Red Cross Hospital, Bunkyocho, Matsuyama, Ehime, Japan
| | - Takanori Kouchi
- Department of Radiology, Juzen General Hospital, Kitashinmachi, Niihama, Ehime, Japan
| | - Naoto Kawaguchi
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Megumi Matsuda
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Tomoyuki Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
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Montino Pelagi G, Baggiano A, Regazzoni F, Fusini L, Alì M, Pontone G, Valbusa G, Vergara C. Personalized Pressure Conditions and Calibration for a Predictive Computational Model of Coronary and Myocardial Blood Flow. Ann Biomed Eng 2024; 52:1297-1312. [PMID: 38334838 PMCID: PMC10995040 DOI: 10.1007/s10439-024-03453-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/14/2024] [Indexed: 02/10/2024]
Abstract
Predictive modeling of hyperemic coronary and myocardial blood flow (MBF) greatly supports diagnosis and prognostic stratification of patients suffering from coronary artery disease (CAD). In this work, we propose a novel strategy, using only readily available clinical data, to build personalized inlet conditions for coronary and MBF models and to achieve an effective calibration for their predictive application to real clinical cases. Experimental data are used to build personalized pressure waveforms at the aortic root, representative of the hyperemic state and adapted to surrogate the systolic contraction, to be used in computational fluid-dynamics analyses. Model calibration to simulate hyperemic flow is performed in a "blinded" way, not requiring any additional exam. Coronary and myocardial flow simulations are performed in eight patients with different clinical conditions to predict FFR and MBF. Realistic pressure waveforms are recovered for all the patients. Consistent pressure distribution, blood velocities in the large arteries, and distribution of MBF in the healthy myocardium are obtained. FFR results show great accuracy with a per-vessel sensitivity and specificity of 100% according to clinical threshold values. Mean MBF shows good agreement with values from stress-CTP, with lower values in patients with diagnosed perfusion defects. The proposed methodology allows us to quantitatively predict FFR and MBF, by the exclusive use of standard measures easily obtainable in a clinical context. This represents a fundamental step to avoid catheter-based exams and stress tests in CAD diagnosis.
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Affiliation(s)
- Giovanni Montino Pelagi
- LABS, Dipartimento di Chimica, Materiali e Ingegneria Chimica, Politecnico di Milano, 20133, Milan, Italy.
| | - Andrea Baggiano
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, 20138, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Francesco Regazzoni
- MOX, Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
| | - Laura Fusini
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, 20138, Milan, Italy
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, 20133, Milan, Italy
| | - Marco Alì
- Bracco Imaging S.p.A., Via Caduti di Marcinelle 13, 20134, Milan, Italy
- Department of Diagnostic Imaging and Stereotactic Radiosurgery, Centro Diagnostico Italiano S.p.A., Via Saint Bon 20, 20147, Milan, Italy
| | - Gianluca Pontone
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, 20138, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20134, Milan, Italy
| | - Giovanni Valbusa
- Bracco Imaging S.p.A., Via Caduti di Marcinelle 13, 20134, Milan, Italy
| | - Christian Vergara
- LABS, Dipartimento di Chimica, Materiali e Ingegneria Chimica, Politecnico di Milano, 20133, Milan, Italy
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Nonaka H, Yahagi K, Komiyama K, Gonda Y, Horiuchi Y, Asami M, Yuzawa H, Tanaka J, Aoki J, Tanabe K. Valuable Predictors for Non-measurability of Fractional Flow Reserve Derived From Coronary Computed Tomography Angiography. Cureus 2024; 16:e59227. [PMID: 38807808 PMCID: PMC11130537 DOI: 10.7759/cureus.59227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/22/2024] [Indexed: 05/30/2024] Open
Abstract
Background The fractional flow reserve (FFR) derived from coronary computed tomography (CT) angiography (FFRCT) is a variable tool for coronary disease diagnosis that non-invasively provides the value of FFR. It can add physiological information to coronary CT angiography (CCTA) and reduce unnecessary invasive coronary angiography (CAG). However, it cannot be analyzed in some cases, which is also called "non-measurability." While FFRCT has become globally widespread, the current data on non-measurability are lacking. This study aimed to determine the rate of non-measurability and identify predictors thereof in routine clinical settings to explore potential approaches to reduce the non-measurability rate. Methods and results This retrospective observational single-center study included consecutive patients who underwent FFRCTanalysis in Japan. The mean age of the overall population was 71.3 ± 10.6, and an FFRCTof ≤0.8 was seen in 47.6% of patients with a measurable FFRCT. Of the 307 enrolled patients, FFRCT analysis was not feasible in 21 cases (6.8%). Heart rate (HR) at a CT scan and coronary calcium scores (CCS) were significantly higher in patients with non-measurability than those in patients whose FFRCT was appropriately analyzed (HR: 69.6±8.9 bpm vs. 61.0±11.1 bpm; p < 0.01; CCS; 931.2 (290.8, 1451.3) vs. 322.9 (100.7, 850.0); p < 0.01). Multiple logistic regression showed that HR was an independent predictor for non-measurability (odds ratio: 1.05; 95% confidential interval: 1.02, 1.09; p < 0.01)). Based on the receiver operating characteristic curve analysis, the optimal cut-off value of HR and CCS was 63 bpm (specificity: 67.1%; sensitivity: 76.2%) and 729.2 (specificity: 71.3%; sensitivity: 66.7%). In addition, the combination of two features (HR > 63 bpm and CCS > 729.2) showed a high negative predictive value (99.3%) for FFRCT non-measurability. Conclusions In this study, the rate of FFRCTnon-measurability was 6.8%. Higher HR at a CT scan and CCS were significantly associated with non-measurability, and in cases with both HR and CCS below a specified threshold, the likelihood of ruling out non-measurability could be significantly high. Our findings suggest that reducing the HR to ideally under 63 bpm at the time of the CT scan significantly ensures feasibility. Further study on large-scale cohorts is warranted.
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Affiliation(s)
- Hideaki Nonaka
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
| | - Kazuyuki Yahagi
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
| | - Kota Komiyama
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
| | - Yuki Gonda
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
| | - Yu Horiuchi
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
| | - Masahiko Asami
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
| | - Hitomi Yuzawa
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
| | - Jun Tanaka
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
| | - Jiro Aoki
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
| | - Kengo Tanabe
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, JPN
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Yuan M, Zhang J. Image and Clinical Characteristics of the Right Coronary Artery Originating From the Left Coronary Sinus: A Database Review. Cardiol Rev 2024:00045415-990000000-00216. [PMID: 38363130 DOI: 10.1097/crd.0000000000000669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
This article systematically explores the imaging and clinical characteristics of a relatively rare cardiac anomaly: the right coronary artery originating from the left coronary sinus. Through a comprehensive analysis of existing literature, this study aims to provide a comprehensive understanding of the prevalence, diagnostic methods, and potential clinical implications of this anatomical variation. Anatomical classification is introduced, along with clinical imaging diagnostic methods, including coronary angiography, computed tomography, and magnetic resonance imaging. Additionally, the review delves into the clinical significance of this anomaly, including its potential associations with myocardial ischemia, arrhythmias, and acute cardiac events, outlining clinical approaches to diagnosing myocardial ischemia. The study results consolidate current knowledge about this cardiac variation, emphasizing the importance of recognizing and appropriately managing it in clinical practice.
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Affiliation(s)
- Mingyuan Yuan
- From the Department of Radiology, Affiliated Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China
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5
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Sliwicka O, Baggiano A, Sechopoulos I, Pontone G. Stress-only dynamic computed tomography perfusion protocol (CTP) alone without computed tomography coronary angiography (CCTA) has limited specificity to diagnose ischemia: A retrospective two-center study. Eur J Radiol 2023; 169:111152. [PMID: 37866193 DOI: 10.1016/j.ejrad.2023.111152] [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: 07/11/2023] [Revised: 09/20/2023] [Accepted: 10/16/2023] [Indexed: 10/24/2023]
Abstract
PURPOSE To investigate diagnostic performance of stress-only dynamic myocardial computed tomography perfusion (CTP) without computed tomography coronary angiography (CCTA) to diagnose ischemia with invasive fractional flow reserve (FFR) as a reference standard. METHOD 135 datasets (68 positive for ischemia with invasive FFR < 0.8) acquired with a 256-slice CT system (Revolution, GE Healthcare, Chicago, IL, USA) were retrieved, postprocessed with a deep learning-based algorithm (Advanced intelligent Clear-IQ Engine (AiCE), Canon Medical Systems, Otawara, Japan) (FC03/cardiac kernel, 8 mm slice thickness), analyzed using a dedicated workstation (Vitrea research 7.11.0. Vital Images, Minnetonka, MN, USA), and loaded into a clinical workstation (CardIQ, GE Healthcare, Chicago, IL, USA) for review. Ten observers with various experience from two research sites evaluated the post-processed images, perfusion slices and maps to indicate presence vs absence of perfusion defect and its probability (five-point Likert scale). Binary decisions and probability scores were used to calculate sensitivity and specificity for each reader, and to create receiver operating characteristics (ROC) curves, respectively. Furthermore, the correlation coefficient (ICC) was computed. ROC AUC of a purely quantitative analysis was obtained thanks to a color-coded map with a fixed scale superimposed on myocardial walls displaying myocardial blood flow (MBF) values. RESULTS The overall case-based sensitivity and specificity for the detection of perfusion deficit were 0.79 and 0.30, respectively. No significant differences were detected in the AUC across readers (p value = 0.66). The AUC values were 0.50, 0.58, 0.63, 0.59, 0.45, 0.60, 0.56, 0.61, 0.52, 0.61. Absolute reader agreement ICC was 0.60 (good agreement) for an average case. CONCLUSION Dynamic CTP alone has good sensitivity, but low specificity when analyzed without CCTA. These findings reinforce the need to guide the interpretation functional test with the knowledge of coronary artery anatomy.
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Affiliation(s)
- Olga Sliwicka
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Andrea Baggiano
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Ioannis Sechopoulos
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands; Technical Medicine Center, University of Twente, Enschede, the Netherlands.
| | - Gianluca Pontone
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
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6
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Pontone G, Rossi A, Gimelli A, Neglia D. Should we choose CT angiography first instead of SPECT/PET first for the diagnosis and management of coronary artery disease? Atherosclerosis 2023; 385:117315. [PMID: 37890440 DOI: 10.1016/j.atherosclerosis.2023.117315] [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: 06/21/2023] [Revised: 09/04/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023]
Abstract
In patients presenting with chest pain, current guidelines recommend the use of coronary computed tomography angiography and single-photon emission tomography/positron emission tomography, both with equal class 1 indication and level of evidence A. There is no clear recommendation on which test should be used as a first-line test. The choice of the test should be based on individualized clinical risk assessment, patient characteristics, local expertise/availability, and patient preferences. In this context, it is fair to ask which non-invasive imaging test to choose. The debate reproduced in this article answers this question by summarizing the considerations in selecting present state-of-the-art criteria of the right test for the right patient to ensure efficient resource utilization, minimize unnecessary testing, and maximize diagnostic accuracy and therapeutic efficacy.
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Affiliation(s)
- Gianluca Pontone
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital, Zurich, Switzerland
| | - Alessia Gimelli
- Imaging Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Danilo Neglia
- Cardiovascular and Imaging Departments, Fondazione Toscana Gabriele Monasterio, Pisa, Italy; Sant'Anna School of Advanced Studies, Pisa, Italy
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Nieman K, Chandrashekhar Y. Myocardial CT Perfusion Imaging in 2023. JACC Cardiovasc Imaging 2023; 16:1000-1002. [PMID: 37407119 DOI: 10.1016/j.jcmg.2023.06.001] [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: 07/07/2023]
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8
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Patel P, Emrich T, Schoepf UJ, Mehta V, Bayer RR, von Assen M, Giovagnoli V, Jeudy J, Varga-Szemes A, White C. Comprehensive Computed Tomography Imaging of Vessel-specific and Lesion-specific Myocardial Ischemia. J Thorac Imaging 2023; 38:212-225. [PMID: 34029280 DOI: 10.1097/rti.0000000000000592] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Coronary computed tomographic angiography (CCTA) has emerged as a fast and robust tool with high sensitivity and excellent negative predictive value for the evaluation of coronary artery disease, but is unable to estimate the hemodynamic significance of a lesion. Advances in computed tomography (CT)-based diagnostic techniques, for example, CT-derived fractional flow reserve and CT perfusion, have helped transform CCTA primarily from an anatomic assessment tool to a technique that is able to provide both anatomic and functional information for a stenosis. With the results of the ISCHEMIA trial published in 2019, these advanced techniques can elevate CCTA into the role of a better gatekeeper for decision-making and can help guide referral for invasive management. In this article, we review the principles, limitations, diagnostic performance, and clinical utility of these 2 functional CT-based techniques in the evaluation of vessel-specific and lesion-specific ischemia.
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Affiliation(s)
- Pratik Patel
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
- Department of Radiology, University of Florida College of Medicine, Gainesville, FL
| | - Tilman Emrich
- Department of Radiology and Radiological Science, Division of Cardiovascular Imaging
- Department of Diagnostic and Interventional Radiology, University Medical Center Mainz
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine Main, Mainz, Germany
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Division of Cardiovascular Imaging
| | - Varun Mehta
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
- Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| | - Richard R Bayer
- Department of Radiology and Radiological Science, Division of Cardiovascular Imaging
- Department of Medicine, Division of Cardiology, Medical University of South Carolina, Charleston, SC
| | - Marly von Assen
- Department of Radiology and Imaging Sciences, Division of Cardiothoracic Imaging, Emory University Hospital, Atlanta, GA
| | - Vincent Giovagnoli
- Department of Radiology and Radiological Science, Division of Cardiovascular Imaging
| | - Jean Jeudy
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Akos Varga-Szemes
- Department of Radiology and Radiological Science, Division of Cardiovascular Imaging
| | - Charles White
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
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9
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Bergamaschi L, Pavon AG, Angeli F, Tuttolomondo D, Belmonte M, Armillotta M, Sansonetti A, Foà A, Paolisso P, Baggiano A, Mushtaq S, De Zan G, Carriero S, Cramer MJ, Teske AJ, Broekhuizen L, van der Bilt I, Muscogiuri G, Sironi S, Leo LA, Gaibazzi N, Lovato L, Pontone G, Pizzi C, Guglielmo M. The Role of Non-Invasive Multimodality Imaging in Chronic Coronary Syndrome: Anatomical and Functional Pathways. Diagnostics (Basel) 2023; 13:2083. [PMID: 37370978 DOI: 10.3390/diagnostics13122083] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/10/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Coronary artery disease (CAD) is one of the major causes of mortality and morbidity worldwide, with a high socioeconomic impact. Currently, various guidelines and recommendations have been published about chronic coronary syndromes (CCS). According to the recent European Society of Cardiology guidelines on chronic coronary syndrome, a multimodal imaging approach is strongly recommended in the evaluation of patients with suspected CAD. Today, in the current practice, non-invasive imaging methods can assess coronary anatomy through coronary computed tomography angiography (CCTA) and/or inducible myocardial ischemia through functional stress testing (stress echocardiography, cardiac magnetic resonance imaging, single photon emission computed tomography-SPECT, or positron emission tomography-PET). However, recent trials (ISCHEMIA and REVIVED) have cast doubt on the previous conception of the management of patients with CCS, and nowadays it is essential to understand the limitations and strengths of each imaging method and, specifically, when to choose a functional approach focused on the ischemia versus a coronary anatomy-based one. Finally, the concept of a pathophysiology-driven treatment of these patients emerged as an important goal of multimodal imaging, integrating 'anatomical' and 'functional' information. The present review aims to provide an overview of non-invasive imaging modalities for the comprehensive management of CCS patients.
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Affiliation(s)
- Luca Bergamaschi
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete, 48, 6900 Lugano, Switzerland
| | - Anna Giulia Pavon
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete, 48, 6900 Lugano, Switzerland
| | - Francesco Angeli
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Domenico Tuttolomondo
- Department of Cardiology, Parma University Hospital, Viale Antonio Gramsci 14, 43126 Parma, Italy
| | - Marta Belmonte
- Cardiovascular Center Aalst, OLV-Clinic, 9300 Aalst, Belgium
- Department of Advanced Biomedical Sciences, University Federico II, 80138 Naples, Italy
| | - Matteo Armillotta
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Angelo Sansonetti
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Alberto Foà
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Pasquale Paolisso
- Department of Advanced Biomedical Sciences, University Federico II, 80138 Naples, Italy
| | - Andrea Baggiano
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Saima Mushtaq
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Giulia De Zan
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Serena Carriero
- Postgraduate School of Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy
| | - Maarten-Jan Cramer
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Arco J Teske
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Lysette Broekhuizen
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Ivo van der Bilt
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, 2545 GM The Hague, The Netherlands
| | - Giuseppe Muscogiuri
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, 20149 Milan, Italy
| | - Sandro Sironi
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy
| | - Laura Anna Leo
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete, 48, 6900 Lugano, Switzerland
| | - Nicola Gaibazzi
- Department of Cardiology, Parma University Hospital, Viale Antonio Gramsci 14, 43126 Parma, Italy
| | - Luigi Lovato
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
| | - Gianluca Pontone
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Carmine Pizzi
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Marco Guglielmo
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, 2545 GM The Hague, The Netherlands
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10
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Pugliese L, Ricci F, Sica G, Scaglione M, Masala S. Non-Contrast and Contrast-Enhanced Cardiac Computed Tomography Imaging in the Diagnostic and Prognostic Evaluation of Coronary Artery Disease. Diagnostics (Basel) 2023; 13:2074. [PMID: 37370969 DOI: 10.3390/diagnostics13122074] [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: 04/30/2023] [Revised: 06/07/2023] [Accepted: 06/11/2023] [Indexed: 06/29/2023] Open
Abstract
In recent decades, cardiac computed tomography (CT) has emerged as a powerful non-invasive tool for risk stratification, as well as the detection and characterization of coronary artery disease (CAD), which remains the main cause of morbidity and mortality in the world. Advances in technology have favored the increasing use of cardiac CT by allowing better performance with lower radiation doses. Coronary artery calcium, as assessed by non-contrast CT, is considered to be the best marker of subclinical atherosclerosis, and its use is recommended for the refinement of risk assessment in low-to-intermediate risk individuals. In addition, coronary CT angiography (CCTA) has become a gate-keeper to invasive coronary angiography (ICA) and revascularization in patients with acute chest pain by allowing the assessment not only of the extent of lumen stenosis, but also of its hemodynamic significance if combined with the measurement of fractional flow reserve or perfusion imaging. Moreover, CCTA provides a unique incremental value over functional testing and ICA by imaging the vessel wall, thus allowing the assessment of plaque burden, composition, and instability features, in addition to perivascular adipose tissue attenuation, which is a marker of vascular inflammation. There exists the potential to identify the non-obstructive lesions at high risk of progression to plaque rupture by combining all of these measures.
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Affiliation(s)
- Luca Pugliese
- Radiology Unit, Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, 00189 Rome, Italy
| | - Francesca Ricci
- Radiology Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
| | - Giacomo Sica
- Radiology Unit, Monaldi Hospital, 80131 Napoli, Italy
| | - Mariano Scaglione
- Radiology Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
| | - Salvatore Masala
- Radiology Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
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11
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Groenhoff L, De Zan G, Costantini P, Siani A, Ostillio E, Carriero S, Muscogiuri G, Bergamaschi L, Patti G, Pizzi C, Sironi S, Pavon AG, Carriero A, Guglielmo M. The Non-Invasive Diagnosis of Chronic Coronary Syndrome: A Focus on Stress Computed Tomography Perfusion and Stress Cardiac Magnetic Resonance. J Clin Med 2023; 12:jcm12113793. [PMID: 37297986 DOI: 10.3390/jcm12113793] [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: 04/25/2023] [Revised: 05/22/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
Coronary artery disease is still a major cause of death and morbidity worldwide. In the setting of chronic coronary disease, demonstration of inducible ischemia is mandatory to address treatment. Consequently, scientific and technological efforts were made in response to the request for non-invasive diagnostic tools with better sensitivity and specificity. To date, clinicians have at their disposal a wide range of stress-imaging techniques. Among others, stress cardiac magnetic resonance (S-CMR) and computed tomography perfusion (CTP) techniques both demonstrated their diagnostic efficacy and prognostic value in clinical trials when compared to other non-invasive ischemia-assessing techniques and invasive fractional flow reserve measurement techniques. Standardized protocols for both S-CMR and CTP usually imply the administration of vasodilator agents to induce hyperemia and contrast agents to depict perfusion defects. However, both methods have their own limitations, meaning that optimizing their performance still requires a patient-tailored approach. This review focuses on the characteristics, drawbacks, and future perspectives of these two techniques.
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Affiliation(s)
- Léon Groenhoff
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Giulia De Zan
- Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, 28100 Novara, Italy
- Department of Cardiology, Division of Heart and Lungs, Utrecht University Medical Center, 3584 CX Utrecht, The Netherlands
| | - Pietro Costantini
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Agnese Siani
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Eleonora Ostillio
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Serena Carriero
- Postgraduate School in Radiodiagnostics, University of Milan, 20122 Milan, Italy
| | - Giuseppe Muscogiuri
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, 20149 Milan, Italy
- School of Medicine, University of Milano-Bicocca, 20900 Monza, Italy
| | - Luca Bergamaschi
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Giuseppe Patti
- Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Carmine Pizzi
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, 20900 Monza, Italy
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Anna Giulia Pavon
- Cardiovascular Department, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland
| | | | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University Medical Center, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, 2545 AA The Hague, The Netherlands
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12
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Maragna R, Mushtaq S, Baggiano A, Annoni A, Carerj ML, Cilia F, Fazzari F, Formenti A, Fusini L, Mancini E, Marchetti F, Penso M, Volpe A, Tassetti L, Baessato F, Rossi A, Rovera C, Guaricci AI, Pontone G. Cardiac computed tomography: from anatomy to function. Eur Heart J Suppl 2023; 25:C49-C57. [PMID: 37125321 PMCID: PMC10132556 DOI: 10.1093/eurheartjsupp/suad037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Ischaemic heart disease (IHD) is one of the world's leading causes of morbidity and mortality. Likewise, the diagnosis and risk stratification of patients with coronary artery disease (CAD) have always been based on the detection of the presence and extent of ischaemia by physical or pharmacological stress tests with or without the aid of imaging methods (e.g. exercise stress, test, stress echocardiography, single-photon emission computed tomography, or stress cardiac magnetic resonance). These methods show high performance to assess obstructive CAD, whilst they do not show accurate power to detect non-obstructive CAD. The introduction into clinical practice of coronary computed tomography angiography, the only non-invasive method capable of analyzing the coronary anatomy, allowed to add a crucial piece in the puzzle of the assessment of patients with suspected or chronic IHD. The current review evaluates the technical aspects and clinical experience of coronary computed tomography in the evaluation of atherosclerotic burden with a special focus about the new emerging application such as functional relevance of CAD with fractional flow reserve computed tomography (CT)-derived (FFRct), stress CT perfusion, and imaging inflammatory makers discussing the strength and weakness of each approach.
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Affiliation(s)
- Riccardo Maragna
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Saima Mushtaq
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Andrea Baggiano
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Via Festa del Perdono, 7, 20122 Milan, Italy
| | - Andrea Annoni
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Maria Ludovica Carerj
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
- Section of Diagnostic and Interventional Radiology, Department of Biomedical Sciences and Morphological and Functional Imaging, ‘G. Martino’ University Hospital Messina, Via Consolare Valeria, 1, 98124 Messina, Italy
| | - Francesco Cilia
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Fabio Fazzari
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Alberto Formenti
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Laura Fusini
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32 20133 Milan, Italy
| | - Elisabetta Mancini
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Francesca Marchetti
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Marco Penso
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Alessandra Volpe
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Luigi Tassetti
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy
| | - Francesca Baessato
- Department of Cardiology, San Maurizio Regional Hospital, Via Lorenz Böhler, 5, 39100 Bolzano, Italy
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital, Rämistrasse 100, 8091 Zürich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Rämistrasse 71, 8006 Zürich, Switzerland
| | - Chiara Rovera
- Department of Cardiology, Ospedale di Chivasso, Corso G. Ferraris, 3, 10034 Chivasso, Italy
| | - Andrea I Guaricci
- Department of Emergency and Organ Transplantation, Institute of Cardiovascular Disease, University Hospital ‘Policlinico’ of Bari, Piazza Giulio Cesare, 11, 70124 Bari, Italy
| | - Gianluca Pontone
- Corresponding author. Tel: +39 02 58002574, Fax: +39 02 58002231,
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13
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Serruys PW, Kotoku N, Nørgaard BL, Garg S, Nieman K, Dweck MR, Bax JJ, Knuuti J, Narula J, Perera D, Taylor CA, Leipsic JA, Nicol ED, Piazza N, Schultz CJ, Kitagawa K, Bruyne BD, Collet C, Tanaka K, Mushtaq S, Belmonte M, Dudek D, Zlahoda-Huzior A, Tu S, Wijns W, Sharif F, Budoff MJ, Mey JD, Andreini D, Onuma Y. Computed tomographic angiography in coronary artery disease. EUROINTERVENTION 2023; 18:e1307-e1327. [PMID: 37025086 PMCID: PMC10071125 DOI: 10.4244/eij-d-22-00776] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 11/14/2022] [Indexed: 04/05/2023]
Abstract
Coronary computed tomographic angiography (CCTA) is becoming the first-line investigation for establishing the presence of coronary artery disease and, with fractional flow reserve (FFRCT), its haemodynamic significance. In patients without significant epicardial obstruction, its role is either to rule out atherosclerosis or to detect subclinical plaque that should be monitored for plaque progression/regression following prevention therapy and provide risk classification. Ischaemic non-obstructive coronary arteries are also expected to be assessed by non-invasive imaging, including CCTA. In patients with significant epicardial obstruction, CCTA can assist in planning revascularisation by determining the disease complexity, vessel size, lesion length and tissue composition of the atherosclerotic plaque, as well as the best fluoroscopic viewing angle; it may also help in selecting adjunctive percutaneous devices (e.g., rotational atherectomy) and in determining the best landing zone for stents or bypass grafts.
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Affiliation(s)
| | - Nozomi Kotoku
- Department of Cardiology, University of Galway, Galway, Ireland
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Scot Garg
- Department of Cardiology, Royal Blackburn Hospital, Blackburn, UK
| | - Koen Nieman
- Department of Radiology and Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Juhani Knuuti
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | | | - Divaka Perera
- School of Cardiovascular Medicine and Sciences, British Heart Foundation Centre of Research Excellence, King's College London, London, UK
| | | | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Edward D Nicol
- Royal Brompton Hospital, London, UK
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Nicolo Piazza
- Department of Medicine, Division of Cardiology, McGill University Health Center, Montreal, Quebec, Canada
| | - Carl J Schultz
- Division of Internal Medicine, Medical School, University of Western Australia, Perth, WA, Australia
- Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Mie, Japan
| | - Bernard De Bruyne
- Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium
- Department of Cardiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Carlos Collet
- Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium
| | - Kaoru Tanaka
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | | | | | - Darius Dudek
- Szpital Uniwersytecki w Krakowie, Krakow, Poland
| | - Adriana Zlahoda-Huzior
- Digital Innovations & Robotics Hub, Krakow, Poland
- Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland
| | - Shengxian Tu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - William Wijns
- Department of Cardiology, University of Galway, Galway, Ireland
- The Lambe Institute for Translational Medicine, The Smart Sensors Laboratory and CURAM, Galway, University of Galway, Galway, Ireland
| | - Faisal Sharif
- Department of Cardiology, University of Galway, Galway, Ireland
| | - Matthew J Budoff
- Division of Cardiology, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Johan de Mey
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Daniele Andreini
- Division of Cardiology and Cardiac Imaging, IRCCS Galeazzi Sant'Ambrogio, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Yoshinobu Onuma
- Department of Cardiology, University of Galway, Galway, Ireland
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14
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Gao X, Wang R, Sun Z, Zhang H, Bo K, Xue X, Yang J, Xu L. A Novel CT Perfusion-Based Fractional Flow Reserve Algorithm for Detecting Coronary Artery Disease. J Clin Med 2023; 12:jcm12062154. [PMID: 36983156 PMCID: PMC10058085 DOI: 10.3390/jcm12062154] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/23/2023] [Accepted: 02/28/2023] [Indexed: 03/12/2023] Open
Abstract
Background: The diagnostic accuracy of fractional flow reserve (FFR) derived from coronary computed tomography angiography (CCTA) (FFR-CT) needs to be further improved despite promising results available in the literature. While an innovative myocardial computed tomographic perfusion (CTP)-derived fractional flow reserve (CTP-FFR) model has been initially established, the feasibility of CTP-FFR to detect coronary artery ischemia in patients with suspected coronary artery disease (CAD) has not been proven. Methods: This retrospective study included 93 patients (a total of 103 vessels) who received CCTA and CTP for suspected CAD. Invasive coronary angiography (ICA) was performed within 2 weeks after CCTA and CTP. CTP-FFR, CCTA (stenosis ≥ 50% and ≥70%), ICA, FFR-CT and CTP were assessed by independent laboratory experts. The diagnostic ability of the CTP-FFR grouped by quantitative coronary angiography (QCA) in mild (30–49%), moderate (50–69%) and severe stenosis (≥70%) was calculated. The effect of calcification of lesions, grouped by FFR on CTP-FFR measurements, was also assessed. Results: On the basis of per-vessel level, the AUCs for CTP-FFR, CTP, FFR-CT and CCTA were 0.953, 0.876, 0.873 and 0.830, respectively (all p < 0.001). The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of CTP-FFR for per-vessel level were 0.87, 0.88, 0.87, 0.85 and 0.89 respectively, compared with 0.87, 0.54, 0.69, 0.61, 0.83 and 0.75, 0.73, 0.74, 0.70, 0.77 for CCTA ≥ 50% and ≥70% stenosis, respectively. On the basis of per-vessel analysis, CTP-FFR had higher specificity, accuracy and AUC compared with CCTA and also higher AUC compared with FFR-CT or CTP (all p < 0.05). The sensitivity and accuracy of CTP-FFR + CTP + FFR-CT were also improved over FFR-CT alone (both p < 0.05). It also had improved specificity compared with FFR-CT or CTP alone (p < 0.01). A strong correlation between CTP-FFR and invasive FFR values was found on per-vessel analysis (Pearson’s correlation coefficient 0.89). The specificity of CTP-FFR was higher in the severe calcification group than in the low calcification group (p < 0.001). Conclusions: A novel CTP-FFR model has promising value to detect myocardial ischemia in CAD, particularly in mild-to-moderate stenotic lesions.
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Affiliation(s)
- Xuelian Gao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Rui Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Zhonghua Sun
- Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth 6845, Australia
| | - Hongkai Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Kairui Bo
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Xiaofei Xue
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Junjie Yang
- Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
- Correspondence: (J.Y.); (L.X.)
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
- Correspondence: (J.Y.); (L.X.)
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15
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Lala RI, Mercea S, Jipa RA, Puschita M, Pop-Moldovan A. The chronic coronary syndrome—Heart failure roundabout: A multimodality imaging workflow approach. Front Cardiovasc Med 2022; 9:1019529. [DOI: 10.3389/fcvm.2022.1019529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/31/2022] [Indexed: 11/23/2022] Open
Abstract
Heart failure (HF) is a complex syndrome of considerable burden with high mortality and hospitalization rates. Approximately two-thirds of patients with HF have ischemic etiology, which makes crucial the identification of relevant coronary artery disease (CAD). Moreover, patients with chronic coronary syndrome (CCS) can first show signs of dyspnea and left ventricular (LV) dysfunction. If establishing a diagnosis of HF and consequent management is clear enough, it will not be the same when it comes to recommendations for etiology assessment. Ischemic heart disease is the most studied disease by cardiac multimodality imaging with excellent diagnostic performance. Based on this aspect, the high prevalence of CAD, the worst outcome—HF patients should undergo a diagnostic work-up using these multimodality imaging techniques. The aim of this mini-review is to provide insights on multimodality imaging for diagnosing CCS in patients with new onset of HF and propose a diagnostic work-up based on current international studies and guidelines.
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16
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Zhang LJ, Tang C, Xu P, Guo B, Zhou F, Xue Y, Zhang J, Zheng M, Xu L, Hou Y, Lu B, Guo Y, Cheng J, Liang C, Song B, Zhang H, Hong N, Wang P, Chen M, Xu K, Liu S, Jin Z, Lu G. Coronary Computed Tomography Angiography-derived Fractional Flow Reserve: An Expert Consensus Document of Chinese Society of Radiology. J Thorac Imaging 2022; 37:385-400. [PMID: 36162081 DOI: 10.1097/rti.0000000000000679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Invasive fractional flow reserve (FFR) measured by a pressure wire is a reference standard for evaluating functional stenosis in coronary artery disease. Coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) uses advanced computational analysis methods to noninvasively obtain FFR results from a single conventional coronary computed tomography angiography data to evaluate the hemodynamic significance of coronary artery disease. More and more evidence has found good correlation between the results of noninvasive CT-FFR and invasive FFR. CT-FFR has proven its potential in optimizing patient management, improving risk stratification and prognosis, and reducing total health care costs. However, there is still a lack of standardized interpretation of CT-FFR technology in real-world clinical settings. This expert consensus introduces the principle, workflow, and interpretation of CT-FFR; summarizes the state-of-the-art application of CT-FFR; and provides suggestions and recommendations for the application of CT-FFR with the aim of promoting the standardized application of CT-FFR in clinical practice.
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Affiliation(s)
- Long Jiang Zhang
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
| | - Chunxiang Tang
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
| | - Pengpeng Xu
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
| | - Bangjun Guo
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
| | - Fan Zhou
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
| | - Yi Xue
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
| | - Jiayin Zhang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
| | - Minwen Zheng
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University-Xi'an
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University
| | - Yang Hou
- Department of Radiology, Shengjing Hospital of China Medical University
| | - Bin Lu
- Department of Radiology, State Key Laboratory and National Center for Cardiovascular Diseases, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing
| | - Youmin Guo
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province
| | - Changhong Liang
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province
| | - Bin Song
- Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan Province
| | - Huimao Zhang
- Department of Radiology, The First Hospital of Jilin University, Changchun, Jilin Province, China
| | - Nan Hong
- Department of Radiology, Peking University People's Hospital
| | - Peijun Wang
- Department of Radiology, Tongji Hospital of Tongji University School of Medicine
| | - Min Chen
- Department of Radiology, Beijing Hospital, National Center of Gerontology
| | - Ke Xu
- Department of Interventional Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province
| | - Shiyuan Liu
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
| | - Zhengyu Jin
- Department of Medical Imaging and Nuclear Medicine, Changzheng Hospital of Naval Medical University, Shanghai
| | - Guangming Lu
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
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17
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Tang CX, Zhou Z, Zhang JY, Xu L, Lv B, Jiang Zhang L. Cardiovascular Imaging in China: Yesterday, Today, and Tomorrow. J Thorac Imaging 2022; 37:355-365. [PMID: 36162066 DOI: 10.1097/rti.0000000000000678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The high prevalence and mortality of cardiovascular diseases in China's large population has increased the use of cardiovascular imaging for the assessment of conditions in recent years. In this study, we review the past 20 years of cardiovascular imaging in China, the increasingly important role played by cardiovascular computed tomography in coronary artery disease and pulmonary embolism assessment, magnetic resonance imaging's use for cardiomyopathy assessment, the development and application of artificial intelligence in cardiovascular imaging, and the future of Chinese cardiovascular imaging.
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Affiliation(s)
- Chun Xiang Tang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
| | - Zhen Zhou
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University
| | - Jia Yin Zhang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University
| | - Bin Lv
- Department of Radiology, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences
- State Key Laboratory and National Center for Cardiovascular Diseases, Beijing
| | - Long Jiang Zhang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
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18
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Muscogiuri G, Volpato V, Cau R, Chiesa M, Saba L, Guglielmo M, Senatieri A, Chierchia G, Pontone G, Dell’Aversana S, Schoepf UJ, Andrews MG, Basile P, Guaricci AI, Marra P, Muraru D, Badano LP, Sironi S. Application of AI in cardiovascular multimodality imaging. Heliyon 2022; 8:e10872. [PMID: 36267381 PMCID: PMC9576885 DOI: 10.1016/j.heliyon.2022.e10872] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/23/2022] [Accepted: 09/27/2022] [Indexed: 12/16/2022] Open
Abstract
Technical advances in artificial intelligence (AI) in cardiac imaging are rapidly improving the reproducibility of this approach and the possibility to reduce time necessary to generate a report. In cardiac computed tomography angiography (CCTA) the main application of AI in clinical practice is focused on detection of stenosis, characterization of coronary plaques, and detection of myocardial ischemia. In cardiac magnetic resonance (CMR) the application of AI is focused on post-processing and particularly on the segmentation of cardiac chambers during late gadolinium enhancement. In echocardiography, the application of AI is focused on segmentation of cardiac chambers and is helpful for valvular function and wall motion abnormalities. The common thread represented by all of these techniques aims to shorten the time of interpretation without loss of information compared to the standard approach. In this review we provide an overview of AI applications in multimodality cardiac imaging.
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Affiliation(s)
- Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, Italy,School of Medicine, University of Milano-Bicocca, Milan, Italy,Corresponding author.
| | - Valentina Volpato
- Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, Milan, Italy,IRCCS Ospedale Galeazzi - Sant'Ambrogio, University Cardiology Department, Milan, Italy
| | - Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari, Polo di Monserrato, Cagliari, Italy
| | | | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari, Polo di Monserrato, Cagliari, Italy
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, Utrecht, the Netherlands
| | | | | | | | - Serena Dell’Aversana
- Department of Radiology, Ospedale S. Maria Delle Grazie - ASL Napoli 2 Nord, Pozzuoli, Italy
| | - U. Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr., Charleston, SC, USA
| | - Mason G. Andrews
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr., Charleston, SC, USA
| | - Paolo Basile
- University Cardiology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Andrea Igoren Guaricci
- University Cardiology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Paolo Marra
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Denisa Muraru
- School of Medicine, University of Milano-Bicocca, Milan, Italy,Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, Milan, Italy
| | - Luigi P. Badano
- School of Medicine, University of Milano-Bicocca, Milan, Italy,Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, Milan, Italy
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, Milan, Italy,Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
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19
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Morrone D, Gentile F, Aimo A, Cameli M, Barison A, Picoi ME, Guglielmo M, Villano A, DeVita A, Mandoli GE, Pastore MC, Barillà F, Mancone M, Pedrinelli R, Indolfi C, Filardi PP, Muscoli S, Tritto I, Pizzi C, Camici PG, Marzilli M, Crea F, Caterina RD, Pontone G, Neglia D, Lanza G. Perspectives in noninvasive imaging for chronic coronary syndromes. Int J Cardiol 2022; 365:19-29. [PMID: 35901907 DOI: 10.1016/j.ijcard.2022.07.038] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/05/2022] [Accepted: 07/21/2022] [Indexed: 11/26/2022]
Abstract
Both the latest European guidelines on chronic coronary syndromes and the American guidelines on chest pain have underlined the importance of noninvasive imaging to select patients to be referred to invasive angiography. Nevertheless, although coronary stenosis has long been considered the main determinant of inducible ischemia and symptoms, growing evidence has demonstrated the importance of other underlying mechanisms (e.g., vasospasm, microvascular disease, energetic inefficiency). The search for a pathophysiology-driven treatment of these patients has therefore emerged as an important objective of multimodality imaging, integrating "anatomical" and "functional" information. We here provide an up-to-date guide for the choice and the interpretation of the currently available noninvasive anatomical and/or functional tests, focusing on emerging techniques (e.g., coronary flow velocity reserve, stress-cardiac magnetic resonance, hybrid imaging, functional-coronary computed tomography angiography, etc.), which could provide deeper pathophysiological insights to refine diagnostic and therapeutic pathways in the next future.
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Affiliation(s)
- Doralisa Morrone
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy.
| | - Francesco Gentile
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Alberto Aimo
- Fondazione Toscana Gabriele Monasterio, Pisa, Italy; Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Matteo Cameli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | | | - Maria Elena Picoi
- Azienda Tutela Salute Sardegna, Ospedale Giovanni Paolo II, Unità di terapia intensiva Cardiologica, Olbia, Sardegna, Italy
| | - Marco Guglielmo
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan 20138, Italy
| | - Angelo Villano
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Antonio DeVita
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giulia Elena Mandoli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Maria Concetta Pastore
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Francesco Barillà
- Dipartimento di Scienze Cliniche, Internistiche, Anestesiologiche e Cardiovascolari, Sapienza Università di Roma, Policlinico Umberto I, Roma, Italy
| | - Massimo Mancone
- Dipartimento di Scienze Cliniche, Internistiche, Anestesiologiche e Cardiovascolari, Sapienza Università di Roma, Policlinico Umberto I, Roma, Italy
| | - Roberto Pedrinelli
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Ciro Indolfi
- Istituto di Cardiologia, Dipartimento di Scienze Mediche e Chirurgiche, Università degli Studi "Magna Graecia", Catanzaro - Mediterranea Cardiocentro, Napoli, Italy
| | - Pasquale Perrone Filardi
- Department of Advanced Biomedical Sciences, Federico II University of Naples, Italy, Mediterranea Cardiocentro, Naples, Italy
| | - Saverio Muscoli
- U.O.C. Cardiologia, Fondazione Policlinico "Tor Vergata", Roma, Italy
| | - Isabella Tritto
- Università di Perugia, Dipartimento di Medicina, Sezione di Cardiologia e Fisiopatologia Cardiovascolare, Perugia, Italy
| | - Carmine Pizzi
- Università di Bologna, Alma Mater Studiorum, Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Bologna, Italy
| | - Paolo G Camici
- Vita-Salute University and IRCCS San Raffaele Hospital, Milan, Italy
| | - Mario Marzilli
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Filippo Crea
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan 20138, Italy
| | - Raffaele De Caterina
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Gianluca Pontone
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan 20138, Italy
| | | | - Gaetano Lanza
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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20
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Muscogiuri G, Chiesa M, Baggiano A, Spadafora P, De Santis R, Guglielmo M, Scafuri S, Fusini L, Mushtaq S, Conte E, Annoni A, Formenti A, Mancini ME, Ricci F, Ariano FP, Spiritigliozzi L, Babbaro M, Mollace R, Maragna R, Giacari CM, Andreini D, Guaricci AI, Colombo GI, Rabbat MG, Pepi M, Sardanelli F, Pontone G. Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion. Eur J Nucl Med Mol Imaging 2022; 49:3119-3128. [PMID: 35194673 DOI: 10.1007/s00259-022-05732-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 02/12/2022] [Indexed: 12/30/2022]
Abstract
PURPOSE To evaluate the diagnostic accuracy of a deep learning (DL) algorithm predicting hemodynamically significant coronary artery disease (CAD) by using a rest dataset of myocardial computed tomography perfusion (CTP) as compared to invasive evaluation. METHODS One hundred and twelve consecutive symptomatic patients scheduled for clinically indicated invasive coronary angiography (ICA) underwent CCTA plus static stress CTP and ICA with invasive fractional flow reserve (FFR) for stenoses ranging between 30 and 80%. Subsequently, a DL algorithm for the prediction of significant CAD by using the rest dataset (CTP-DLrest) and stress dataset (CTP-DLstress) was developed. The diagnostic accuracy for identification of significant CAD using CCTA, CCTA + CTP stress, CCTA + CTP-DLrest, and CCTA + CTP-DLstress was measured and compared. The time of analysis for CTP stress, CTP-DLrest, and CTP-DLStress was recorded. RESULTS Patient-specific sensitivity, specificity, NPV, PPV, accuracy, and area under the curve (AUC) of CCTA alone and CCTA + CTPStress were 100%, 33%, 100%, 54%, 63%, 67% and 86%, 89%, 89%, 86%, 88%, 87%, respectively. Patient-specific sensitivity, specificity, NPV, PPV, accuracy, and AUC of CCTA + DLrest and CCTA + DLstress were 100%, 72%, 100%, 74%, 84%, 96% and 93%, 83%, 94%, 81%, 88%, 98%, respectively. All CCTA + CTP stress, CCTA + CTP-DLRest, and CCTA + CTP-DLStress significantly improved detection of hemodynamically significant CAD compared to CCTA alone (p < 0.01). Time of CTP-DL was significantly lower as compared to human analysis (39.2 ± 3.2 vs. 379.6 ± 68.0 s, p < 0.001). CONCLUSION Evaluation of myocardial ischemia using a DL approach on rest CTP datasets is feasible and accurate. This approach may be a useful gatekeeper prior to CTP stress..
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Affiliation(s)
| | - Mattia Chiesa
- Centro Cardiologico Monzino, IRCCS, Milan, Italy.,Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, 20133, Milan, Italy
| | | | - Pierino Spadafora
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Rossella De Santis
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | | | | | - Laura Fusini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | | | | | | | | | | | | | | | | | | | | | | | | | - Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy.,Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | - Andrea Igoren Guaricci
- Department of Emergency and Organ Transplantation, Institute of Cardiovascular Disease, University Hospital "Policlinico Consorziale" of Bari, Bari, Italy
| | | | - Mark G Rabbat
- Loyola University of Chicago, Chicago, IL, USA.,Edward Hines Jr. VA Hospital, Hines, IL, USA
| | - Mauro Pepi
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | - Francesco Sardanelli
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, 20133, Milan, Italy.,Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
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21
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Di Gregorio S, Vergara C, Pelagi GM, Baggiano A, Zunino P, Guglielmo M, Fusini L, Muscogiuri G, Rossi A, Rabbat MG, Quarteroni A, Pontone G. Prediction of myocardial blood flow under stress conditions by means of a computational model. Eur J Nucl Med Mol Imaging 2022; 49:1894-1905. [PMID: 34984502 DOI: 10.1007/s00259-021-05667-8] [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: 10/11/2021] [Accepted: 12/18/2021] [Indexed: 12/30/2022]
Abstract
PURPOSE Quantification of myocardial blood flow (MBF) and functional assessment of coronary artery disease (CAD) can be achieved through stress myocardial computed tomography perfusion (stress-CTP). This requires an additional scan after the resting coronary computed tomography angiography (cCTA) and administration of an intravenous stressor. This complex protocol has limited reproducibility and non-negligible side effects for the patient. We aim to mitigate these drawbacks by proposing a computational model able to reproduce MBF maps. METHODS A computational perfusion model was used to reproduce MBF maps. The model parameters were estimated by using information from cCTA and MBF measured from stress-CTP (MBFCTP) maps. The relative error between the computational MBF under stress conditions (MBFCOMP) and MBFCTP was evaluated to assess the accuracy of the proposed computational model. RESULTS Applying our method to 9 patients (4 control subjects without ischemia vs 5 patients with myocardial ischemia), we found an excellent agreement between the values of MBFCOMP and MBFCTP. In all patients, the relative error was below 8% over all the myocardium, with an average-in-space value below 4%. CONCLUSION The results of this pilot work demonstrate the accuracy and reliability of the proposed computational model in reproducing MBF under stress conditions. This consistency test is a preliminary step in the framework of a more ambitious project which is currently under investigation, i.e., the construction of a computational tool able to predict MBF avoiding the stress protocol and potential side effects while reducing radiation exposure.
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Affiliation(s)
| | - Christian Vergara
- LABS, Dipartimento Di Chimica, Materiali E Ingegneria Chimica, Politecnico Di Milano, Milan, Italy
| | | | - Andrea Baggiano
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCSS, Via C. Parea 4, 20138, Milan, Italy
- Department of Clinical Science and Community Health, University of Milan, Milan, Italy
| | - Paolo Zunino
- Dipartimento Di Matematica, MOX, Politecnico Di Milano, Milan, Italy
| | - Marco Guglielmo
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCSS, Via C. Parea 4, 20138, Milan, Italy
| | - Laura Fusini
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCSS, Via C. Parea 4, 20138, Milan, Italy
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Giuseppe Muscogiuri
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCSS, Via C. Parea 4, 20138, Milan, Italy
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | - Mark G Rabbat
- Loyola University of Chicago, Chicago, IL, USA
- Edward Hines Jr. VA Hospital, Hines, IL, USA
| | - Alfio Quarteroni
- Dipartimento Di Matematica, MOX, Politecnico Di Milano, Milan, Italy
- Institute of Mathematics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Gianluca Pontone
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCSS, Via C. Parea 4, 20138, Milan, Italy.
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22
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D’Ascenzi F, Baggiano A, Cavigli L, Mandoli GE, Andreini D, Marallo C, Valente S, Focardi M, Cameli M, Pontone G. The role of cardiac computed tomography in sports cardiology: back to the future! Eur Heart J Cardiovasc Imaging 2022; 23:e481-e493. [DOI: 10.1093/ehjci/jeac069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/15/2022] [Accepted: 03/21/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
In recent years, the role of pre-participation evaluation (PPE) in the prevention of sudden cardiac death in competitive athletes has become evident. Most physicians routinely supplement assessment by resting electrocardiogram with imaging techniques, such as echocardiography. The primary goal of imaging in the clinical assessment of competitive athletes is to exclude cardiovascular conditions associated with adverse outcomes. Cardiac computed tomography is emerging as an important technique for stratifying cardiovascular risk and assessing coronary artery disease (CAD), particularly in master athletes. Conversely, in young athletes, this technique has the best non-invasive coronary artery resolution and provides valuable details on coronary artery anatomy. Recent technical developments have brought about a dramatic reduction in radiation exposure, a major drawback of this diagnostic method; nowadays cardiac computed tomography may be performed at a dose of barely one millisievert. The present review provides a practical guide for the use of cardiac computed tomography in the PPE of competitive athletes, with a specific focus on its value for detecting congenital coronary anomalies and CAD in young and master athletes, respectively.
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Affiliation(s)
- Flavio D’Ascenzi
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Andrea Baggiano
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | - Luna Cavigli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Giulia Elena Mandoli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Daniele Andreini
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | - Carmine Marallo
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Serafina Valente
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Marta Focardi
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Matteo Cameli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Gianluca Pontone
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Milan, Italy
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23
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Pontone G, Rossi A, Guglielmo M, Dweck MR, Gaemperli O, Nieman K, Pugliese F, Maurovich-Horvat P, Gimelli A, Cosyns B, Achenbach S. Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging-part II. Eur Heart J Cardiovasc Imaging 2022; 23:e136-e161. [PMID: 35175348 PMCID: PMC8944330 DOI: 10.1093/ehjci/jeab292] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 12/28/2021] [Indexed: 11/12/2022] Open
Abstract
Cardiac computed tomography (CT) was initially developed as a non-invasive diagnostic tool to detect and quantify coronary stenosis. Thanks to the rapid technological development, cardiac CT has become a comprehensive imaging modality which offers anatomical and functional information to guide patient management. This is the second of two complementary documents endorsed by the European Association of Cardiovascular Imaging aiming to give updated indications on the appropriate use of cardiac CT in different clinical scenarios. In this article, emerging CT technologies and biomarkers, such as CT-derived fractional flow reserve, perfusion imaging, and pericoronary adipose tissue attenuation, are described. In addition, the role of cardiac CT in the evaluation of atherosclerotic plaque, cardiomyopathies, structural heart disease, and congenital heart disease is revised.
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Affiliation(s)
- Gianluca Pontone
- Corresponding author. Tel: +39 02 58002574; Fax: +39 02 58002231. E-mail:
| | | | - Marco Guglielmo
- Centro Cardiologico Monzino IRCCS, Via C. Parea 4, 20138 Milan, Italy
| | - Marc R Dweck
- Centre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Koen Nieman
- Department of Radiology and Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Francesca Pugliese
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK,Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Pal Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Alessia Gimelli
- Fondazione CNR/Regione Toscana “Gabriele Monasterio”, Pisa, Italy
| | - Bernard Cosyns
- Department of Cardiology, CHVZ (Centrum voor Hart en Vaatziekten), ICMI (In Vivo Cellular and Molecular Imaging) Laboratory, Universitair ziekenhuis Brussel, Brussel, Belgium
| | - Stephan Achenbach
- Department of Cardiology, Friedrich-Alexander-University of Erlangen, Erlangen, Germany
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24
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Muscogiuri G, Guglielmo M, Serra A, Gatti M, Volpato V, Schoepf UJ, Saba L, Cau R, Faletti R, McGill LJ, De Cecco CN, Pontone G, Dell’Aversana S, Sironi S. Multimodality Imaging in Ischemic Chronic Cardiomyopathy. J Imaging 2022; 8:jimaging8020035. [PMID: 35200737 PMCID: PMC8877428 DOI: 10.3390/jimaging8020035] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/23/2022] [Accepted: 01/27/2022] [Indexed: 02/01/2023] Open
Abstract
Ischemic chronic cardiomyopathy (ICC) is still one of the most common cardiac diseases leading to the development of myocardial ischemia, infarction, or heart failure. The application of several imaging modalities can provide information regarding coronary anatomy, coronary artery disease, myocardial ischemia and tissue characterization. In particular, coronary computed tomography angiography (CCTA) can provide information regarding coronary plaque stenosis, its composition, and the possible evaluation of myocardial ischemia using fractional flow reserve CT or CT perfusion. Cardiac magnetic resonance (CMR) can be used to evaluate cardiac function as well as the presence of ischemia. In addition, CMR can be used to characterize the myocardial tissue of hibernated or infarcted myocardium. Echocardiography is the most widely used technique to achieve information regarding function and myocardial wall motion abnormalities during myocardial ischemia. Nuclear medicine can be used to evaluate perfusion in both qualitative and quantitative assessment. In this review we aim to provide an overview regarding the different noninvasive imaging techniques for the evaluation of ICC, providing information ranging from the anatomical assessment of coronary artery arteries to the assessment of ischemic myocardium and myocardial infarction. In particular this review is going to show the different noninvasive approaches based on the specific clinical history of patients with ICC.
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Affiliation(s)
- Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
- Correspondence: ; Tel.: +39-329-404-9840
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, 3584 Utrecht, The Netherlands;
| | - Alessandra Serra
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Marco Gatti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy; (M.G.); (R.F.)
| | - Valentina Volpato
- Department of Cardiac, Neurological and Metabolic Sciences, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy;
| | - Uwe Joseph Schoepf
- Department of Radiology and Radiological Science, MUSC Ashley River Tower, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA; (U.J.S.); (L.J.M.)
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Riccardo Faletti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy; (M.G.); (R.F.)
| | - Liam J. McGill
- Department of Radiology and Radiological Science, MUSC Ashley River Tower, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA; (U.J.S.); (L.J.M.)
| | - Carlo Nicola De Cecco
- Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30322, USA;
| | | | - Serena Dell’Aversana
- Department of Radiology, Ospedale S. Maria Delle Grazie—ASL Napoli 2 Nord, 80078 Pozzuoli, Italy;
| | - Sandro Sironi
- School of Medicine and Post Graduate School of Diagnostic Radiology, University of Milano-Bicocca, 20126 Milan, Italy;
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
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25
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Preuß D, Garcia G, Laule M, Dewey M, Rief M. Myocardial CT perfusion imaging for the detection of obstructive coronary artery disease: multisegment reconstruction does not improve diagnostic performance. Eur Radiol Exp 2022; 6:5. [PMID: 35099638 PMCID: PMC8804122 DOI: 10.1186/s41747-021-00256-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 12/02/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Multisegment reconstruction (MSR) was introduced to shorten the temporal reconstruction window of computed tomography (CT) and thereby reduce motion artefacts. We investigated whether MSR of myocardial CT perfusion (CTP) can improve diagnostic performance in detecting obstructive coronary artery disease (CAD) compared with halfscan reconstruction (HSR). METHODS A total of 134 patients (median age 65.7 years) with clinical indication for invasive coronary angiography and without cardiac surgery prospectively underwent static CTP. In 93 patients with multisegment acquisition, we retrospectively performed both MSR and HSR and searched both reconstructions for perfusion defects. Subgroups with known (n = 68) or suspected CAD (n = 25) and high heart rate (n = 30) were analysed. The area under the curve (AUC) was compared applying DeLong approach using ≥ 50% stenosis on invasive coronary angiography as reference standard. RESULTS Per-patient analysis revealed the overall AUC of MSR (0.65 [95% confidence interval 0.53, 0.78]) to be inferior to that of HSR (0.79 [0.69, 0.88]; p = 0.011). AUCs of MSR and HSR were similar in all subgroups analysed (known CAD 0.62 [0.45, 0.79] versus 0.72 [0.57, 0.86]; p = 0.157; suspected CAD 0.80 [0.63, 0.97] versus 0.89 [0.77, 1.00]; p = 0.243; high heart rate 0.46 [0.19, 0.73] versus 0.55 [0.33, 0.77]; p = 0.389). Median stress radiation dose was higher for MSR than for HSR (6.67 mSv versus 3.64 mSv, p < 0.001). CONCLUSIONS MSR did not improve diagnostic performance of myocardial CTP imaging while increasing radiation dose compared with HSR. TRIAL REGISTRATION CORE320: clinicaltrials.gov NCT00934037, CARS-320: NCT00967876.
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Affiliation(s)
- Daniel Preuß
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany
| | - Gonzalo Garcia
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany
| | - Michael Laule
- Department of Cardiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Marc Dewey
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany
| | - Matthias Rief
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany.
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Guan C, Geng L, Zhang R, You J, Xie L, Wang X, Wan Q, Xu B, Dou K, Zhang Q. Long‐term prognostic value of dynamic function assessment of intermediate coronary lesion with computational physiology. Catheter Cardiovasc Interv 2022; 99 Suppl 1:1386-1394. [PMID: 35043569 DOI: 10.1002/ccd.30069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 12/25/2021] [Indexed: 11/07/2022]
Affiliation(s)
- Changdong Guan
- Catheterization Laboratories, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liang Geng
- Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Rui Zhang
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Department of Cardiology, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jieyun You
- Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lihua Xie
- Catheterization Laboratories, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xingxu Wang
- Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Qing Wan
- Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Bo Xu
- Catheterization Laboratories, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, China
| | - Kefei Dou
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Department of Cardiology, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- National Clinical Research Center for Cardiovascular Diseases, Beijing, China
| | - Qi Zhang
- Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
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Static CT myocardial perfusion imaging: image quality, artifacts including distribution and diagnostic performance compared to 82Rb PET. Eur J Hybrid Imaging 2022; 6:1. [PMID: 34981241 PMCID: PMC8724508 DOI: 10.1186/s41824-021-00118-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 11/03/2021] [Indexed: 11/10/2022] Open
Abstract
Background Rubidium-82 positron emission tomography (82Rb PET) MPI is considered a noninvasive reference standard for the assessment of myocardial perfusion in coronary artery disease (CAD) patients. Our main goal was to compare the diagnostic performance of static rest/ vasodilator stress CT myocardial perfusion imaging (CT-MPI) to stress/ rest 82Rb PET-MPI for the identification of myocardial ischemia.
Methods Forty-four patients with suspected or diagnosed CAD underwent both static CT-MPI and 82Rb PET-MPI at rest and during pharmacological stress. The extent and severity of perfusion defects on PET-MPI were assessed to obtain summed stress score, summed rest score, and summed difference score. The extent and severity of perfusion defects on CT-MPI was visually assessed using the same grading scale. CT-MPI was compared with PET-MPI as the gold standard on a per-territory and a per-patient basis.
Results On a per-patient basis, there was moderate agreement between CT-MPI and PET-MPI with a weighted 0.49 for detection of stress induced perfusion abnormalities. Using PET-MPI as a reference, static CT-MPI had 89% sensitivity (SS), 58% specificity (SP), 71% accuracy (AC), 88% negative predictive value (NPV), and 59% positive predictive value (PPV) to diagnose stress-rest perfusion deficits on a per-patient basis. On a per-territory analysis, CT-MPI had 73% SS, 65% SP, 67% AC, 90.8% NPV, and 34% PPV to diagnose perfusion deficits. Conclusions CT-MPI has high sensitivity and good overall accuracy for the diagnosis of functionally significant CAD using 82Rb PET-MPI as the reference standard. CT-MPI may play an important role in assessing the functional significance of CAD especially in combination with CCTA.
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Kim MY, Yang DH, Choo KS, Lee W. Beyond Coronary CT Angiography: CT Fractional Flow Reserve and Perfusion. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2022; 83:3-27. [PMID: 36237355 PMCID: PMC9238199 DOI: 10.3348/jksr.2021.0177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/15/2021] [Accepted: 12/27/2021] [Indexed: 11/30/2022]
Abstract
심장 전산화단층촬영은 비약적인 기술발전과 다양한 연구 결과를 바탕으로 심혈관위험 계층화와 치료 결정을 위한 관상동맥 질환의 진단과 예후 평가성능이 입증되었다. 전산화단층촬영 관상동맥조영술은 폐쇄성 관상동맥 질환에 대한 음성 예측도가 높아서 침습적 혈관조영술의 빈도를 줄일 수 있는 관상동맥 질환 관련 검사의 관문으로 부상했지만, 진단특이도가 상대적으로 낮다. 하지만 심장 전산화단층촬영을 이용한 분획혈류예비력과 심근관류를 분석하여 관상동맥 질환의 혈역학적 유의성을 확인하는 기능적 평가를 통해 그 한계를 극복할 수 있다. 최근에는 이를 보다 객관적이고 재현 가능하도록 인공지능을 접목하는 연구들이 활발히 진행되고 있다. 본 종설에서는 심장 전산화단층촬영의 기능적 영상화 기법들에 대해 알아보고자 한다.
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Affiliation(s)
- Moon Young Kim
- Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Dong Hyun Yang
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ki Seok Choo
- Department of Radiology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
| | - Whal Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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Dynamic Perfusion With CT Angiography: Adding Another Feather to a Heavily Decorated Cap. J Am Coll Cardiol 2021; 78:1950-1953. [PMID: 34763771 DOI: 10.1016/j.jacc.2021.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/03/2021] [Accepted: 09/06/2021] [Indexed: 11/22/2022]
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Kitagawa K, Nakamura S, Ota H, Ogawa R, Shizuka T, Kubo T, Yi Y, Ito T, Nagasawa N, Omori T, Nakamori S, Kurita T, Sugisawa J, Hatori N, Nakashima H, Wang Y, Kido T, Watanabe K, Matsumoto Y, Dohi K, Sakuma H. Diagnostic Performance of Dynamic Myocardial Perfusion Imaging Using Dual-Source Computed Tomography. J Am Coll Cardiol 2021; 78:1937-1949. [PMID: 34763770 DOI: 10.1016/j.jacc.2021.08.067] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 08/05/2021] [Accepted: 08/25/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND Single-center studies indicated a high diagnostic accuracy of dynamic computed tomography perfusion (CTP) imaging in the diagnosis of coronary artery disease (CAD). OBJECTIVES This prospective multicenter study determined the diagnostic performance of combined coronary computed tomography angiography (CTA) and CTP for detecting hemodynamically significant CAD defined by invasive coronary angiography (ICA) with fractional flow reserve (FFR). METHODS Seven centers enrolled 174 patients with suspected or known CAD who were clinically referred for ICA. CTA and dynamic CTP were performed using dual-source CT before ICA. FFR was done as part of ICA in the case of 26% to 90% coronary diameter stenosis. Hemodynamically significant stenosis was defined as FFR of <0.8 or >90% stenosis on ICA. RESULTS The study protocol was completed in 157 participants, and hemodynamically significant stenosis was detected in 76 of 157 patients (48%) and 112 of 442 vessels (25%). According to receiver-operating characteristic curve analysis, adding dynamic CTP to CTA significantly increased the area under the curve from 0.65 (95% CI: 0.57-0.72) to 0.74 (95% CI: 0.66-0.81; P = 0.011) on the patient level, with decreased sensitivity (93% vs 72%; P < 0.001), improved specificity (36% vs 75%; P < 0.001), and improved overall accuracy (64% vs 74%; P < 0.001). CONCLUSIONS In this prospective multicenter study on dynamic CTP, the combination of anatomic assessment with coronary CTA and functional evaluation with dynamic CTP allowed more accurate identification of hemodynamically significant CAD compared with CTA alone. However, the clinical significance of this approach needs to be further investigated, including its usefulness in improving prognosis. (Assessment of Myocardial Perfusion Linked to Infarction and Fibrosis Explored With Dual-Source CT [AMPLIFiED]; UMIN000016353).
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Affiliation(s)
- Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Tsu, Japan.
| | | | - Hideki Ota
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
| | - Ryo Ogawa
- Department of Radiology, Ehime University Graduate School of Medicine, Matsuyama, Japan
| | - Takehito Shizuka
- Department of Cardiology, National Hospital Organization Takasaki General Medical Center, Takasaki, Japan
| | - Tadahiro Kubo
- Department of Cardiovascular Medicine, National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan
| | - Yan Yi
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tatsuro Ito
- Department of Cardiovascular Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Naoki Nagasawa
- Department of Radiology, Mie University Hospital, Tsu, Japan
| | - Taku Omori
- Department of Cardiology and Nephrology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Shiro Nakamori
- Department of Cardiology and Nephrology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Tairo Kurita
- Department of Cardiology and Nephrology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Jun Sugisawa
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Naoki Hatori
- Department of Cardiology, National Hospital Organization Takasaki General Medical Center, Takasaki, Japan
| | - Hitoshi Nakashima
- Department of Cardiovascular Medicine, National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan
| | - Yining Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Matsuyama, Japan
| | - Kouki Watanabe
- Division of Cardiology, Saiseikai Matsuyama Hospital, Matsuyama, Japan
| | - Yasuharu Matsumoto
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Cardiovascular Medicine, Shioya Hospital, International University of Health and Welfare, Yaita, Japan
| | - Kaoru Dohi
- Department of Cardiology and Nephrology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Hajime Sakuma
- Department of Radiology, Mie University Graduate School of Medicine, Tsu, Japan
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Nous FMA, Geisler T, Kruk MBP, Alkadhi H, Kitagawa K, Vliegenthart R, Hell MM, Hausleiter J, Nguyen PK, Budde RPJ, Nikolaou K, Kepka C, Manka R, Sakuma H, Malik SB, Coenen A, Zijlstra F, Klotz E, van der Harst P, Artzner C, Dedic A, Pugliese F, Bamberg F, Nieman K. Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease. JACC Cardiovasc Imaging 2021; 15:75-87. [PMID: 34538630 PMCID: PMC8741746 DOI: 10.1016/j.jcmg.2021.07.021] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 07/14/2021] [Accepted: 07/21/2021] [Indexed: 11/13/2022]
Abstract
OBJECTIVES In this international, multicenter study, using third-generation dual-source computed tomography (CT), we investigated the diagnostic performance of dynamic stress CT myocardial perfusion imaging (CT-MPI) in addition to coronary CT angiography (CTA) compared to invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR). BACKGROUND CT-MPI combined with coronary CTA integrates coronary artery anatomy with inducible myocardial ischemia, showing promising results for the diagnosis of hemodynamically significant coronary artery disease in single-center studies. METHODS At 9 centers in Europe, Japan, and the United States, 132 patients scheduled for ICA were enrolled; 114 patients successfully completed coronary CTA, adenosine-stress dynamic CT-MPI, and ICA. Invasive FFR was performed in vessels with 25% to 90% stenosis. Data were analyzed by independent core laboratories. For the primary analysis, for each coronary artery the presence of hemodynamically significant obstruction was interpreted by coronary CTA with CT-MPI compared to coronary CTA alone, using an FFR of ≤0.80 and angiographic severity as reference. Territorial absolute myocardial blood flow (MBF) and relative MBF were compared using C-statistics. RESULTS ICA and FFR identified hemodynamically significant stenoses in 74 of 289 coronary vessels (26%). Coronary CTA with ≥50% stenosis demonstrated a per-vessel sensitivity, specificity, and accuracy for the detection of hemodynamically significant stenosis of 96% (95% CI: 91–100), 72% (95% CI: 66–78), and 78% (95% CI: 73–83), respectively. Coronary CTA with CT-MPI showed a lower sensitivity (84%; 95% CI: 75–92) but higher specificity (89%; 95% CI: 85–93) and accuracy (88%; 95% CI: 84–92). The areas under the receiver-operating characteristic curve of absolute MBF and relative MBF were 0.79 (95% CI: 0.71–0.86) and 0.82 (95% CI: 0.74–0.88), respectively. The median dose-length product of CT-MPI and coronary CTA were 313 mGy·cm and 138 mGy·cm, respectively. CONCLUSIONS Dynamic CT-MPI offers incremental diagnostic value over coronary CTA alone for the identification of hemodynamically significant coronary artery disease. Generalized results from this multicenter study encourage broader consideration of dynamic CT-MPI in clinical practice. (Dynamic Stress Perfusion CT for Detection of Inducible Myocardial Ischemia [SPECIFIC]; NCT02810795)
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Affiliation(s)
- Fay M A Nous
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Tobias Geisler
- Department of Cardiology, University of Tuebingen, Tuebingen, Germany
| | - Mariusz B P Kruk
- Coronary Disease and Structural Heart Diseases Department, Institute of Cardiology, Warsaw, Poland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Tsu, Japan
| | - Rozemarijn Vliegenthart
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Michaela M Hell
- Department of Cardiology, Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Jörg Hausleiter
- Department of Cardiology, Ludwig-Maximilians University, Munich, Germany
| | - Patricia K Nguyen
- Veterans Affairs Palo Alto Healthcare System, Cardiology Section, Palo Alto, California, USA; Stanford University, Division of Cardiovascular Medicine, Stanford, California, USA; Stanford Cardiovascular Institute, Stanford, California, USA
| | - Ricardo P J Budde
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Cezary Kepka
- Coronary Disease and Structural Heart Diseases Department, Institute of Cardiology, Warsaw, Poland
| | - Robert Manka
- Department of Cardiology, University Heart Center and Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Hajime Sakuma
- Department of Radiology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Sachin B Malik
- Veterans Affairs Palo Alto Healthcare System, Thoracic and Cardiovascular Imaging Section, Palo Alto, California, USA; Stanford University, Division of Cardiovascular Imaging (Affiliated), Stanford, California, USA
| | - Adriaan Coenen
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Felix Zijlstra
- Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Christoph Artzner
- Department of Cardiology, University of Tuebingen, Tuebingen, Germany
| | - Admir Dedic
- Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Francesca Pugliese
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, Barts National Institute for Health Research Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, West Smithfield, London, United Kingdom
| | - Fabian Bamberg
- Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Koen Nieman
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Stanford University School of Medicine and Cardiovascular Institute, Stanford, California, USA.
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Esposito A, Francone M, Andreini D, Buffa V, Cademartiri F, Carbone I, Clemente A, Guaricci AI, Guglielmo M, Indolfi C, La Grutta L, Ligabue G, Liguori C, Mercuro G, Mushtaq S, Neglia D, Palmisano A, Sciagrà R, Seitun S, Vignale D, Pontone G, Carrabba N. SIRM-SIC appropriateness criteria for the use of Cardiac Computed Tomography. Part 1: Congenital heart diseases, primary prevention, risk assessment before surgery, suspected CAD in symptomatic patients, plaque and epicardial adipose tissue characterization, and functional assessment of stenosis. LA RADIOLOGIA MEDICA 2021; 126:1236-1248. [PMID: 34160775 PMCID: PMC8370938 DOI: 10.1007/s11547-021-01378-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 05/20/2021] [Indexed: 12/23/2022]
Abstract
In the past 20 years, Cardiac Computed Tomography (CCT) has become a pivotal technique for the noninvasive diagnostic work-up of coronary and cardiac diseases. Continuous technical and methodological improvements, combined with fast growing scientific evidence, have progressively expanded the clinical role of CCT. Recent large multicenter randomized clinical trials documented the high prognostic value of CCT and its capability to increase the cost-effectiveness of the management of patients with suspected CAD. In the meantime, CCT, initially perceived as a simple non-invasive technique for studying coronary anatomy, has transformed into a multiparametric "one-stop-shop" approach able to investigate the heart in a comprehensive way, including functional, structural and pathophysiological biomarkers. In this complex and revolutionary scenario, it is urgently needed to provide an updated guide for the appropriate use of CCT in different clinical settings. This manuscript, endorsed by the Italian Society of Medical and Interventional Radiology (SIRM) and by the Italian Society of Cardiology (SIC), represents the first of two consensus documents collecting the expert opinion of Radiologists and Cardiologists about current appropriate use of CCT.
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Affiliation(s)
- Antonio Esposito
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
| | - Marco Francone
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Humanitas Research Hospital IRCCS, Rozzano, Milan, Italy
| | - Daniele Andreini
- Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Vitaliano Buffa
- Department of Radiology, Azienda Ospedaliera San Camillo Forlanini, Rome, Italy
| | | | - Iacopo Carbone
- Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, Rome, Italy
| | | | - Andrea Igoren Guaricci
- Cardiothoracic Department, University Cardiology Unit, Policlinic University Hospital, Bari, Italy
| | | | - Ciro Indolfi
- Department of Medical and Surgical Sciences, Magna Grecia University, Catanzaro, Italy
| | - Ludovico La Grutta
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties-ProMISE, University of Palermo, AOUP P. Giaccone, Palermo, Italy
| | - Guido Ligabue
- Department of Medical and Surgical Sciences, Modena and Reggio Emilia University, Modena, Italy
- Radiology Department, AOU of Modena, Modena, Italy
| | - Carlo Liguori
- Radiology Unit, Ospedale del Mare- A.S.LNa1-Centro, Naples, Italy
| | - Giuseppe Mercuro
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | | | - Danilo Neglia
- Cardiovascular Department, CNR (National Council of Research)/Tuscany Region 'Gabriele Monasterio' Foundation (FTGM), Pisa, Italy
| | - Anna Palmisano
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Roberto Sciagrà
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Sara Seitun
- Radiology Department, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia E Le Neuroscienze, Genoa, Italy
| | - Davide Vignale
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | | | - Nazario Carrabba
- Cardiothoracovascular Department, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
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Yun CH, Hung CL, Wen MS, Wan YL, So A. CT Assessment of Myocardial Perfusion and Fractional Flow Reserve in Coronary Artery Disease: A Review of Current Clinical Evidence and Recent Developments. Korean J Radiol 2021; 22:1749-1763. [PMID: 34431244 PMCID: PMC8546143 DOI: 10.3348/kjr.2020.1277] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 05/11/2021] [Accepted: 05/15/2021] [Indexed: 11/25/2022] Open
Abstract
Coronary computed tomography angiography (CCTA) is routinely used for anatomical assessment of coronary artery disease (CAD). However, invasive measurement of fractional flow reserve (FFR) is the current gold standard for the diagnosis of hemodynamically significant CAD. CT-derived FFRCT and CT perfusion are two emerging techniques that can provide a functional assessment of CAD for risk stratification and clinical decision making. Several clinical studies have shown that the diagnostic performance of concomitant CCTA and functional CT assessment for detecting hemodynamically significant CAD is at least non-inferior to that of other routinely used imaging modalities. This article aims to review the current clinical evidence and recent developments in functional CT techniques.
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Affiliation(s)
- Chun-Ho Yun
- Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Chung-Lieh Hung
- Division of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan.,Institute of Biomedical Sciences, Mackay Medical College, New Taipei, Taiwan
| | - Ming-Shien Wen
- Department of Cardiology, Linkou Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yung-Liang Wan
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
| | - Aaron So
- Department of Medical Biophysics, University of Western Ontario, Imaging Program, Lawson Health Research Institute, London, Canada
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Myocardial Perfusion and Viability Imaging in Coronary Artery Disease: Clinical Value in Diagnosis, Prognosis, and Therapeutic Guidance. Am J Med 2021; 134:968-975. [PMID: 33864764 DOI: 10.1016/j.amjmed.2021.03.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 11/22/2022]
Abstract
Coronary artery disease is a leading cause of morbidity and mortality worldwide. Noninvasive imaging tests play a significant role in diagnosing coronary artery disease, as well as risk stratification and guidance for revascularization. Myocardial perfusion imaging, including single photon emission computed tomography and positron emission tomography, has been widely employed. In this review, we will review test accuracy and clinical significance of these methods for diagnosing and managing coronary artery disease. We will further discuss the comparative usefulness of other noninvasive tests-stress echocardiography, coronary computed tomography angiography, and cardiac magnetic resonance imaging-in the evaluation of ischemia and myocardial viability.
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35
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Serruys PW, Hara H, Garg S, Kawashima H, Nørgaard BL, Dweck MR, Bax JJ, Knuuti J, Nieman K, Leipsic JA, Mushtaq S, Andreini D, Onuma Y. Coronary Computed Tomographic Angiography for Complete Assessment of Coronary Artery Disease: JACC State-of-the-Art Review. J Am Coll Cardiol 2021; 78:713-736. [PMID: 34384554 DOI: 10.1016/j.jacc.2021.06.019] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 06/02/2021] [Accepted: 06/03/2021] [Indexed: 01/09/2023]
Abstract
Coronary computed tomography angiography (CTA) has shown great technological improvements over the last 2 decades. High accuracy of CTA in detecting significant coronary stenosis has promoted CTA as a substitute for conventional invasive coronary angiography in patients with suspected coronary artery disease. In patients with coronary stenosis, CTA-derived physiological assessment is surrogate for intracoronary pressure and velocity wires, and renders possible decision-making about revascularization solely based on computed tomography. Computed tomography coronary anatomy with functionality assessment could potentially become a first line in diagnosis. Noninvasive imaging assessment of plaque burden and morphology is becoming a valuable substitute for intravascular imaging. Recently, wall shear stress and perivascular inflammation have been introduced. These assessments could support risk management for both primary and secondary cardiovascular prevention. Anatomy, functionality, and plaque composition by CTA tend to replace invasive assessment. Complete CTA assessment could provide a 1-stop-shop for diagnosis, risk management, and decision-making on treatment.
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Affiliation(s)
- Patrick W Serruys
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland; NHLI, Imperial College London, London, United Kingdom.
| | - Hironori Hara
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland; Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands. https://twitter.com/hara_hironori
| | - Scot Garg
- Department of Cardiology, Royal Blackburn Hospital, Blackburn, United Kingdom
| | - Hideyuki Kawashima
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland; Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Juhani Knuuti
- Heart Center, Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Koen Nieman
- Department of Radiology and Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | - Yoshinobu Onuma
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland
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Vattay B, Boussoussou M, Borzsák S, Vecsey-Nagy M, Simon J, Kolossváry M, Merkely B, Szilveszter B. Myocardial perfusion imaging using computed tomography: Current status, clinical value and prognostic implications. IMAGING 2021. [DOI: 10.1556/1647.2020.00009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
AbstractCombined anatomical and functional evaluation of coronary artery disease (CAD) using computed tomography (CT) has recently emerged as an accurate, robust, and non-invasive tool for the evaluation of ischemic heart disease. Cardiac CT has become a one-stop-shop imaging modality that allows the simultaneous depiction, characterization, and quantification of coronary atherosclerosis and the assessment of myocardial ischemia. Advancements in scanner technology (improvements in spatial and temporal resolution, dual-energy imaging, wide detector panels) and the implementation of iterative reconstruction algorithms enables the detection of myocardial ischemia in both qualitative and quantitative fashion using low-dose scanning protocols. The addition of CT perfusion (CTP) to standard coronary CT angiography is a reliable tool to improve diagnostic accuracy. CTP using static first-pass imaging enables qualitative assessment of the myocardial tissue, whereas dynamic perfusion imaging can also provide quantitative information on myocardial blood flow. Myocardial tissue assessment by CTP holds the potential to refine risk in stable chest pain or microvascular dysfunction. CTP can aid the detection of residual ischemia after coronary intervention. Comprehensive evaluation of CAD using CTP might therefore improve the selection of patients for aggressive secondary prevention therapy or coronary revascularization with high diagnostic certainty. In addition, prognostic information provided by perfusion CT imaging could improve patient outcomes by quantifying the ischemic burden of the left ventricle. The current review focuses on the clinical value of myocardial perfusion imaging by CT, current status of CTP imaging and the use of myocardial CTP in various patient populations for the diagnosis of ischemic heart disease.
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Affiliation(s)
- Borbála Vattay
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Melinda Boussoussou
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Sarolta Borzsák
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Milán Vecsey-Nagy
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Judit Simon
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Márton Kolossváry
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Béla Merkely
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Bálint Szilveszter
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
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Coronary Computer Tomography Angiography in 2021-Acquisition Protocols, Tips and Tricks and Heading beyond the Possible. Diagnostics (Basel) 2021; 11:diagnostics11061072. [PMID: 34200866 PMCID: PMC8230532 DOI: 10.3390/diagnostics11061072] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/06/2021] [Accepted: 06/09/2021] [Indexed: 01/09/2023] Open
Abstract
Recent technological advances, together with an increasing body of evidence from randomized trials, have placed coronary computer tomography angiography (CCTA) in the center of the diagnostic workup of patients with coronary artery disease. The method was proven reliable in the diagnosis of relevant coronary artery stenosis. Furthermore, it can identify different stages of the atherosclerotic process, including early atherosclerotic changes of the coronary vessel wall, a quality not met by other non-invasive tests. In addition, newer computational software can measure the hemodynamic relevance (fractional flow reserve) of a certain stenosis. In addition, if required, information related to cardiac and valvular function can be provided with specific protocols. Importantly, recent trials have highlighted the prognostic relevance of CCTA in patients with coronary artery disease, which helped establishing CCTA as the first-line method for the diagnostic work-up of such patients in current guidelines. All this can be gathered in one relatively fast examination with minimal discomfort for the patient and, with newer machines, with very low radiation exposure. Herein, we provide an overview of the current technical aspects, indications, pitfalls, and new horizons with CCTA, providing examples from our own clinical practice.
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Deux JF, Nouri R, Tacher V, Zaroui A, Derbel H, Sifaoui I, Chevance V, Ridouani F, Galat A, Kharoubi M, Oghina S, Guendouz S, Audureau E, Teiger E, Kobeiter H, Damy T. Diagnostic Value of Extracellular Volume Quantification and Myocardial Perfusion Analysis at CT in Cardiac Amyloidosis. Radiology 2021; 300:326-335. [PMID: 34100681 DOI: 10.1148/radiol.2021204192] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background CT can provide information regarding myocardial perfusion and expansion of the extracellular space, which is relevant to patients with cardiac amyloidosis (CA). Purpose To evaluate the role of CT in the diagnosis and prognosis of CA. Materials and Methods In this prospective study (Commission National de l'Informatique et des Libertés registration no. 1431858), participants with CA, participants with nonamyloid cardiac hypertrophy (NACH), and participants without hypertrophy were included between April 2017 and December 2018. The confirmed diagnosis of CA was determined according to established criteria (ie, proven with positive bone scintigraphy or endomyocardial biopsy). All participants were imaged with dynamic CT perfusion imaging at whole-heart cardiac CT. Extracellular volume measured at CT and myocardial perfusion parameters calculated on CT perfusion maps were compared among different participant groups. Differences between continuous data were tested using the unpaired t test, Mann-Whitney rank-sum test, or the Kruskal-Wallis test. Results A total of 84 participants with CA, 43 participants with NACH, and 33 participants without hypertrophy were included. Participants with CA exhibited a higher value of extracellular volume measured at CT (mean, 54.7% ± 9.7 [standard deviation]) than participants with NACH (mean, 34.6% ± 9.1; P < .001) and participants without hypertrophy (mean, 35.9% ± 9.9; P = .001). Mean myocardial blood volume and mean myocardial blood flow were lower in participants with CA (mean myocardial blood volume: 4.05 mL/100 g of myocardium ± 0.80; mean myocardial blood flow: 73.2 mL/100 g of myocardium per minute ± 25.7) compared to participants with NACH (mean myocardial blood volume: 5.38 mL/100 g of myocardium ± 1.20, P < .001; mean myocardial blood flow: 89.6 mL/100 g of myocardium per minute ± 31.3, P = .007) and participants without hypertrophy (mean myocardial blood volume: 5.68 mL/100 g of myocardium ± 1.05; mean myocardial blood flow: 106.3 mL/100 g of myocardium per minute ± 29.8; P < .001 for both). Extracellular volume measured at CT (hazard ratio >0.56 vs ≤0.56 = 4.2 [95% CI: 1.4, 11.8]), mean slope (hazard ratio ≤3.0 sec-1 vs >3.0 sec-1 = 0.2 [95% CI: 0.1, 0.8]), and time to peak (hazard ratio >20 seconds vs ≤20 seconds = 11.6 [95% CI: 1.3, 101.6]) were predictive of mortality in participants with CA. Conclusion Participants with cardiac amyloidosis exhibited an increase in extracellular volume at CT and abnormal CT perfusion parameters. Extracellular volume and several perfusion parameters were predictive of mortality. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Zimmerman in this issue.
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Affiliation(s)
- Jean-François Deux
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Refaat Nouri
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Vania Tacher
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Amira Zaroui
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Haytham Derbel
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Islem Sifaoui
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Virgile Chevance
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Fourat Ridouani
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Arnault Galat
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Mounira Kharoubi
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Silvia Oghina
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Soulef Guendouz
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Etienne Audureau
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Emmanuel Teiger
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Hicham Kobeiter
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
| | - Thibaud Damy
- From the Department of Radiology (J.F.D., R.N., V.T., H.D., I.S., V.C., F.R., H.K.), Department of Cardiology (A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), National Referral Centre for Cardiac Amyloidosis (J.F.D., A.Z., A.G., M.K., S.O., S.G., E.T., T.D.), and Department of Public Health (E.A.), Henri Mondor Hospital, University Paris Est Créteil, Assistance Publique-Hôpitaux de Paris, 51 av Mal de Lattre de Tassigny, 94000 Créteil, France
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Sirajuddin A, Mirmomen SM, Kligerman SJ, Groves DW, Burke AP, Kureshi F, White CS, Arai AE. Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings. Radiographics 2021; 41:990-1021. [PMID: 34019437 PMCID: PMC8262179 DOI: 10.1148/rg.2021200125] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Ischemic heart disease is a leading cause of death worldwide and comprises a large proportion of annual health care expenditure. Management of ischemic heart disease is now best guided by the physiologic significance of coronary artery stenosis. Invasive coronary angiography is the standard for diagnosing coronary artery stenosis. However, it is expensive and has risks including vascular access site complications and contrast material–induced nephropathy. Invasive coronary angiography requires fractional flow reserve (FFR) measurement to determine the physiologic significance of a coronary artery stenosis. Multiple noninvasive cardiac imaging modalities can also anatomically delineate or functionally assess for significant coronary artery stenosis, as well as detect the presence of myocardial infarction (MI). While coronary CT angiography can help assess the degree of anatomic stenosis, its inability to assess the physiologic significance of lesions limits its specificity. Physiologic significance of coronary artery stenosis can be determined by cardiac MR vasodilator or dobutamine stress imaging, CT stress perfusion imaging, FFR CT, PET myocardial perfusion imaging (MPI), SPECT MPI, and stress echocardiography. Clinically unrecognized MI, another clear indicator of physiologically significant coronary artery disease, is relatively common and is best evaluated with cardiac MRI. The authors illustrate the spectrum of imaging findings of ischemic heart disease (coronary artery disease, myocardial ischemia, and MI); highlight the advantages and disadvantages of the various noninvasive imaging methods used to assess ischemic heart disease, as illustrated by recent clinical trials; and summarize current indications and contraindications for noninvasive imaging techniques for detection of ischemic heart disease. Online supplemental material is available for this article. Published under a CC BY 4.0 license.
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Affiliation(s)
- Arlene Sirajuddin
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - S Mojdeh Mirmomen
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Seth J Kligerman
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Daniel W Groves
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Allen P Burke
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Faraz Kureshi
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Charles S White
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Andrew E Arai
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
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Narula J, Chandrashekhar Y, Ahmadi A, Abbara S, Berman DS, Blankstein R, Leipsic J, Newby D, Nicol ED, Nieman K, Shaw L, Villines TC, Williams M, Hecht HS. SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr 2021; 15:192-217. [PMID: 33303384 PMCID: PMC8713482 DOI: 10.1016/j.jcct.2020.11.001] [Citation(s) in RCA: 125] [Impact Index Per Article: 41.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Jagat Narula
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Y Chandrashekhar
- University of Minnesota and VA Medical Center, Minneapolis, MN, USA
| | - Amir Ahmadi
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Suhny Abbara
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Ron Blankstein
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | | | - David Newby
- University of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Edinburgh, United Kingdom
| | - Edward D Nicol
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | | | - Leslee Shaw
- New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Todd C Villines
- University of Virginia Health System, Charlottesville, VA, USA
| | - Michelle Williams
- University of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Edinburgh, United Kingdom
| | - Harvey S Hecht
- Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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41
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Stress CMR in Known or Suspected CAD: Diagnostic and Prognostic Role. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6678029. [PMID: 33511208 PMCID: PMC7822671 DOI: 10.1155/2021/6678029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 12/23/2020] [Accepted: 01/04/2021] [Indexed: 12/12/2022]
Abstract
The recently published 2019 guidelines on chronic coronary syndromes (CCS) focus on the need for noninvasive imaging modalities to accurately establish the diagnosis of coronary artery disease (CAD) and assess the risk of clinical scenario occurrence. Appropriate patient management should rely on controlling symptoms, improving prognosis, and guiding each therapeutic strategy as well as monitoring disease progress. Among the noninvasive imaging modalities, cardiovascular magnetic resonance (CMR) has gained broad acceptance in past years due to its unique features in providing a complete assessment of CAD through data on cardiac anatomy and function and myocardial viability, with high spatial and temporal resolution and without ionizing radiation. In detail, evaluation of the presence and extent of myocardial ischemia through stress CMR (S-CMR) has shown a high rule-in power in detecting functionally significant coronary artery stenosis in patients suspected of CCS. Moreover, S-CMR technique may add significant prognostic value, as demonstrated by different studies which have progressively evidenced the valuable power of this multiparametric imaging modality in predicting adverse cardiac events. The latest scientific progress supports a greater expansion of S-CMR with improvement of quantitative myocardial perfusion analysis, myocardial strain, and native mapping within the same examination. Although further study is warranted, these techniques, which are currently mostly restricted to the research field, are likely to become increasingly prevalent in the clinical setting with the scope of increasing accuracy in the selection of patients to be sent to invasive revascularization. This review investigates the diagnostic and prognostic role of S-CMR in the context of CAD, by analysing a strong, long-standing, scientific evidence together with an appraisal of new advanced techniques which may potentially enrich CAD management in the next future.
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Prospective comparison of integrated on-site CT-fractional flow reserve and static CT perfusion with coronary CT angiography for detection of flow-limiting coronary stenosis. Eur Radiol 2021; 31:5096-5105. [PMID: 33409778 DOI: 10.1007/s00330-020-07508-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 10/23/2020] [Accepted: 11/11/2020] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To compare the diagnostic power of separately integrating on-site computed tomography (CT)-derived fractional flow reserve (CT-FFR) and static CT stress myocardial perfusion (CTP) with coronary computed tomography angiography (CCTA) in detecting patients with flow-limiting CAD. The flow-limiting stenosis was defined as obstructive (≥ 50%) stenosis by invasive coronary angiography (ICA) with a corresponding perfusion deficit on stress single photon emission computed tomography (SPECT/MPI). METHODS Forty-eight patients (74 vessels) were enrolled who underwent research-indicated combined CTA-CTP (320-row CT scanner, temporal resolution 137 ms) and SPECT/MPI prior to conventional coronary angiography. CT-FFR was computed on-site using resting CCTA data with dedicated workstation-based software. All five imaging modalities were analyzed in blinded independent core laboratories. Logistic regression and the integrated discrimination improvement (IDI) index were used to evaluate incremental differences in CT-FFR or CTP compared with CCTA alone. RESULTS The prevalence of obstructive CAD defined by combined ICA-SPECT/MPI was 40%. Per-vessel sensitivity and specificity were 95 and 42% for CCTA, 76 and 89% for CCTA + CTP, and 81 and 96% for CCTA + CT-FFR, respectively. The diagnostic performance of CCTA (AUC = 0.82) was improved by combining it with CT-FFR (AUC = 0.92, p = 0.01; IDI = 0.27, p < 0.001) or CTP (AUC = 0.90, p = 0.02; IDI = 0.18, p = 0.003). CONCLUSION On-site CT-FFR combined with CCTA provides an incremental diagnostic improvement over CCTA alone in identifying patients with flow-limiting CAD defined by ICA + SPECT/MPI, with a comparable diagnostic accuracy for integrated CTP and CCTA. KEY POINTS • Both on-site CT-FFR and CTP perform well with high diagnostic accuracy in the detection of flow-limiting stenosis. • Comparable diagnostic accuracy between CCTA + CT-FFR and CCTA + CTP is demonstrated to detect flow-limiting stenosis. • Integrated CT-FFR and CCTA derived from a single widened CCTA data acquisition can accurately and conveniently evaluate both coronary anatomy and physiology in the future management of patients with suspected CAD, without the need for additional vasodilator administration and contrast and radiation exposure.
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43
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What Is of Recent Interest in Cardiac CTA? J Am Coll Cardiol 2020; 76:3056-3060. [PMID: 33334427 DOI: 10.1016/j.jacc.2020.11.005] [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]
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44
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The Incremental Role of Coronary Computed Tomography in Chronic Coronary Syndromes. J Clin Med 2020; 9:jcm9123925. [PMID: 33287329 PMCID: PMC7761760 DOI: 10.3390/jcm9123925] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 11/29/2020] [Accepted: 12/01/2020] [Indexed: 02/03/2023] Open
Abstract
In the context of chronic coronary syndromes (CCS), coronary computed tomography angiography (CCTA) has gained broad acceptance as a noninvasive anatomical imaging tool with ability of excluding coronary stenosis with strong negative predictive value. Atherosclerotic plaque lesions are independent predictors of cardiovascular outcomes in high risk patients with known coronary artery disease (CAD). Calcium detection is commonly expressed through the coronary artery calcium score (CACS), but further research is warranted to confirm the powerness of a CACS-only strategy in both diagnosis and prognosis assessment. Recent studies evidence how defined plaque composition characteristics effectively relate to the risk of plaque instabilization and the overall ischemic burden. Fractional flow reserve from CCTA (FFR-CT) has been demonstrated as a reliable method for noninvasive functional evaluation of coronary lesions severity, while the assessment of perfusion imaging under stress conditions is growing as a useful tool for assessment of myocardial ischemia. Moreover, specific applications in procedural planning of transcatheter valve substitution and follow-up of heart transplantation have gained recent importance. This review illustrates the incremental role of CCTA, which can potentially revolutionize the diagnosis and management pathway within the wide clinical spectrum of CCS.
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45
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Toia P, La Grutta L, Sollami G, Clemente A, Gagliardo C, Galia M, Maffei E, Midiri M, Cademartiri F. Technical development in cardiac CT: current standards and future improvements-a narrative review. Cardiovasc Diagn Ther 2020; 10:2018-2035. [PMID: 33381441 DOI: 10.21037/cdt-20-527] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Non-invasive depiction of coronary arteries has been a great challenge for imaging specialists since the introduction of computed tomography (CT). Technological development together with improvements in spatial, temporal, and contrast resolution, progressively allowed implementation of the current clinical role of the CT assessment of coronary arteries. Several technological evolutions including hardware and software solutions of CT scanners have been developed to improve spatial and temporal resolution. The main challenges of cardiac computed tomography (CCT) are currently plaque characterization, functional assessment of stenosis and radiation dose reduction. In this review, we will discuss current standards and future improvements in CCT.
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Affiliation(s)
- Patrizia Toia
- Department of Biomedicine, Neurosciences and Advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Ludovico La Grutta
- Department of Health Promotion Sciences Maternal and Infantile Care, Internal Medicine and Medical Specialities (ProMISE), University of Palermo, Palermo, Italy
| | - Giulia Sollami
- Department of Biomedicine, Neurosciences and Advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Alberto Clemente
- Fondazione Toscana G. Monasterio CNR - Regione Toscana, Pisa and Massa, Italy
| | - Cesare Gagliardo
- Department of Biomedicine, Neurosciences and Advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Massimo Galia
- Department of Biomedicine, Neurosciences and Advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Area Vasta 1, ASUR Marche, Urbino (PU), Italy
| | - Massimo Midiri
- Department of Biomedicine, Neurosciences and Advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
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Omarov YA, Sukhinina TS, Veselova TN, Shakhnovich RM, Zhukova NS, Merkulova IN, Pevzner DV, Ternovoy SK, Staroverov II. [Possibilities of Stress Computed Tomography Myocardial Perfusion Imaging in the Diagnosis of Ischemic Heart Disease]. ACTA ACUST UNITED AC 2020; 60:122-131. [PMID: 33228515 DOI: 10.18087/cardio.2020.10.n1028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 02/17/2020] [Indexed: 11/18/2022]
Abstract
Computed tomography angiography (CT-angiography, CTA) allows noninvasive visualization of coronary arteries (CA). This method is highly sensitive in detecting coronary atherosclerosis. However, standard CTA does not allow evaluation of the hemodynamic significance of found CA stenoses, which requires additional functional tests for detection of myocardial ischemia. This review focuses on possibilities of clinical use, limitations, technical aspects, and prospects of a combination of CT-angiography and CT myocardial perfusion imaging in diagnostics of ischemic heart disease.
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Affiliation(s)
- Y A Omarov
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - T S Sukhinina
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - T N Veselova
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - R M Shakhnovich
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - N S Zhukova
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - I N Merkulova
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - D V Pevzner
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - S K Ternovoy
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow; First Moscow State Medical University, Sechenov Moscow State Medical University (Sechenov University), Moscow
| | - I I Staroverov
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
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47
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Khav N, Ihdayhid AR, Ko B. CT-Derived Fractional Flow Reserve (CT-FFR) in the Evaluation of Coronary Artery Disease. Heart Lung Circ 2020; 29:1621-1632. [DOI: 10.1016/j.hlc.2020.05.099] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 04/06/2020] [Accepted: 05/11/2020] [Indexed: 10/24/2022]
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48
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Gabara L, Hinton J, Gilpin TR, Curzen N. Fractional flow reserve derived from coronary computed tomography: where are we now and where are we heading? Future Cardiol 2020; 17:723-741. [PMID: 32951466 DOI: 10.2217/fca-2020-0058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Computed tomography coronary angiography is emerging as the preferred diagnostic tool for patients with chest pain. Additional knowledge of the extent and distribution of myocardial ischemia enables tailored patient management. Computed tomography-derived fractional flow reserve (FFRCT) employs computed tomography coronary angiography raw data processed via complex computational fluid dynamics and produces a surrogate of the invasive fractional flow reserve (FFR) thus delivering anatomical and physiological assessment in a single test. FFRCT has been extensively validated against invasive FFR and observational clinical studies have consistently demonstrated its utility as gatekeeper to invasive angiography while also reducing downstream clinical events and costs. Novel workstation-based models of estimating FFR are now being tested. Ongoing and future research results will define their role in clinical practice.
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Affiliation(s)
- Lavinia Gabara
- Coronary Research Group, University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, SO16 6YD, UK.,Faculty of Medicine, University of Southampton, 12 University Road, Southampton, SO17 1BJ, UK
| | - Jonathan Hinton
- Coronary Research Group, University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, SO16 6YD, UK.,Faculty of Medicine, University of Southampton, 12 University Road, Southampton, SO17 1BJ, UK
| | - Thomas Russell Gilpin
- Coronary Research Group, University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, SO16 6YD, UK.,Faculty of Medicine, University of Southampton, 12 University Road, Southampton, SO17 1BJ, UK
| | - Nick Curzen
- Coronary Research Group, University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, SO16 6YD, UK.,Faculty of Medicine, University of Southampton, 12 University Road, Southampton, SO17 1BJ, UK
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49
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Abdelrahman KM, Chen MY, Dey AK, Virmani R, Finn AV, Khamis RY, Choi AD, Min JK, Williams MC, Buckler AJ, Taylor CA, Rogers C, Samady H, Antoniades C, Shaw LJ, Budoff MJ, Hoffmann U, Blankstein R, Narula J, Mehta NN. Coronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies: JACC State-of-the-Art Review. J Am Coll Cardiol 2020; 76:1226-1243. [PMID: 32883417 PMCID: PMC7480405 DOI: 10.1016/j.jacc.2020.06.076] [Citation(s) in RCA: 124] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 05/08/2020] [Accepted: 06/10/2020] [Indexed: 12/14/2022]
Abstract
Evaluation of coronary artery disease (CAD) using coronary computed tomography angiography (CCTA) has seen a paradigm shift in the last decade. Evidence increasingly supports the clinical utility of CCTA across various stages of CAD, from the detection of early subclinical disease to the assessment of acute chest pain. Additionally, CCTA can be used to noninvasively quantify plaque burden and identify high-risk plaque, aiding in diagnosis, prognosis, and treatment. This is especially important in the evaluation of CAD in immune-driven conditions with increased cardiovascular disease prevalence. Emerging applications of CCTA based on hemodynamic indices and plaque characterization may provide personalized risk assessment, affect disease detection, and further guide therapy. This review provides an update on the evidence, clinical applications, and emerging technologies surrounding CCTA as highlighted at the 2019 National Heart, Lung and Blood Institute CCTA Summit.
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Affiliation(s)
- Khaled M Abdelrahman
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Marcus Y Chen
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Amit K Dey
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, Maryland
| | - Aloke V Finn
- Department of Pathology, CVPath Institute, Gaithersburg, Maryland
| | - Ramzi Y Khamis
- Vascular Sciences Section, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Andrew D Choi
- Division of Cardiology and Department of Radiology, The George Washington University School of Medicine, Washington, DC
| | - James K Min
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York
| | - Michelle C Williams
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, Queen's Medical Research Institute University of Edinburgh, Edinburgh, United Kingdom
| | | | | | | | - Habib Samady
- Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia
| | - Charalambos Antoniades
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Leslee J Shaw
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York
| | - Matthew J Budoff
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Udo Hoffmann
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ron Blankstein
- Departments of Medicine (Cardiovascular Division) and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jagat Narula
- Zena and Michael A. Wiener Cardiovascular Institute, Marie-Josée and Henry R. Kravis Center for Cardiovascular Health Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, New York, New York
| | - Nehal N Mehta
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
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50
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Tian XW, Ma AL, Zhou RB, Jiang LJ, Hao Y, Zou XG. Advances in Cardiac Computed Tomography Functional Imaging Technology. Cardiology 2020; 145:615-622. [PMID: 32829331 DOI: 10.1159/000505317] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 12/09/2019] [Indexed: 11/19/2022]
Abstract
Cardiovascular disease (CVD) is the leading cause of death among patients in China, and cardiac computed tomography (CT) is one of the most commonly used examination methods for CVD. Coronary artery CT angiography can be used for the morphologic evaluation of the coronary artery. At present, cardiac CT functional imaging has become an important direction of development of CT. At present, common CT functional imaging technologies include transluminal attenuation gradient, stress dynamic CT myocardial perfusion imaging, and CT-fractional flow reserve. These three imaging modes are introduced and analyzed in this review.
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Affiliation(s)
- Xu-Wei Tian
- Department of Radiology, Department of Medical Imaging, The First People's Hospital Kashgar Region, Kashgar, China
| | - Ai-Lin Ma
- Department of Radiology, Department of Medical Imaging, The First People's Hospital Kashgar Region, Kashgar, China
| | - Ren-Bing Zhou
- Department of Radiology, Department of Medical Imaging, The First People's Hospital Kashgar Region, Kashgar, China
| | - Liu-Jiang Jiang
- Department of Radiology, Department of Medical Imaging, The First People's Hospital Kashgar Region, Kashgar, China
| | - Yue Hao
- Department of Radiology, Department of Medical Imaging, The First People's Hospital Kashgar Region, Kashgar, China
| | - Xiao-Guang Zou
- Department of Radiology, Department of Medical Imaging, The First People's Hospital Kashgar Region, Kashgar, China,
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