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Žuža I, Nadarević T, Jakljević T, Bartolović N, Kovačić S. The Effect of Severe Coronary Calcification on Diagnostic Performance of Computed Tomography-Derived Fractional Flow Reserve Analyses in People with Coronary Artery Disease. Diagnostics (Basel) 2024; 14:1738. [PMID: 39202227 PMCID: PMC11353250 DOI: 10.3390/diagnostics14161738] [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] [Received: 06/25/2024] [Revised: 08/04/2024] [Accepted: 08/08/2024] [Indexed: 09/03/2024] Open
Abstract
BACKGROUND Negative CCTA can effectively exclude significant CAD, eliminating the need for further noninvasive or invasive testing. However, in the presence of severe CAD, the accuracy declines, thus necessitating additional testing. The aim of our study was to evaluate the diagnostic performance of noninvasive cFFR derived from CCTA, compared to ICA in detecting hemodynamically significant stenoses in participants with high CAC scores (>400). METHODS This study included 37 participants suspected of having CAD who underwent CCTA and ICA. CAC was calculated and cFFR analyses were performed using an on-site machine learning-based algorithm. Diagnostic accuracy parameters of CCTA and cFFR were calculated on a per-vessel level. RESULTS The median total CAC score was 870, with an IQR of 642-1370. Regarding CCTA, sensitivity and specificity for RCA were 60% and 67% with an AUC of 0.639; a LAD of 87% and 50% with an AUC of 0.688; an LCX of 33% and 90% with an AUC of 0.617, respectively. Regarding cFFR, sensitivity and specificity for RCA were 60% and 61% with an AUC of 0.606; a LAD of 75% and 54% with an AUC of 0.647; an LCX of 50% and 77% with an AUC of 0.647. No significant differences between AUCs of coronary CTA and cFFR for each vessel were found. CONCLUSIONS Our results showed poor diagnostic accuracy of CCTA and cFFR in determining significant ischemia-related lesions in participants with high CAC scores when compared to ICA. Based on our results and study limitations we cannot exclude cFFR as a method for determining significant stenoses in people with high CAC. A key issue is accurate and detailed lumen segmentation based on good-quality CCTA images.
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Affiliation(s)
- Iva Žuža
- Department of Diagnostic and Interventional Radiology, Clinical Hospital Centre Rijeka, 51000 Rijeka, Croatia; (T.N.); (N.B.); (S.K.)
| | - Tin Nadarević
- Department of Diagnostic and Interventional Radiology, Clinical Hospital Centre Rijeka, 51000 Rijeka, Croatia; (T.N.); (N.B.); (S.K.)
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia;
| | - Tomislav Jakljević
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia;
- Clinic for Heart and Vessel Diseases, Clinical Hospital Centre Rijeka, 51000 Rijeka, Croatia
| | - Nina Bartolović
- Department of Diagnostic and Interventional Radiology, Clinical Hospital Centre Rijeka, 51000 Rijeka, Croatia; (T.N.); (N.B.); (S.K.)
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia;
| | - Slavica Kovačić
- Department of Diagnostic and Interventional Radiology, Clinical Hospital Centre Rijeka, 51000 Rijeka, Croatia; (T.N.); (N.B.); (S.K.)
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia;
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Thribhuvan Reddy D, Grewal I, García Pinzon LF, Latchireddy B, Goraya S, Ali Alansari B, Gadwal A. The Role of Artificial Intelligence in Healthcare: Enhancing Coronary Computed Tomography Angiography for Coronary Artery Disease Management. Cureus 2024; 16:e61523. [PMID: 38957241 PMCID: PMC11218716 DOI: 10.7759/cureus.61523] [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: 06/02/2024] [Indexed: 07/04/2024] Open
Abstract
This review aims to explore the potential of artificial intelligence (AI) in coronary CT angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because CAD is still a major cause of death worldwide, effective and accurate diagnostic methods are required to identify and manage the condition. CCTA certainly is a noninvasive alternative for diagnosing CAD, but it requires a large amount of data as input. We intend to discuss the idea of incorporating AI into CCTA, which enhances its diagnostic accuracy and operational efficiency. Using such AI technologies as machine learning (ML) and deep learning (DL) tools, CCTA images are automated to perfection and the analysis is significantly refined. It enables the characterization of a plaque, assesses the severity of the stenosis, and makes more accurate risk stratifications than traditional methods, with pinpoint accuracy. Automating routine tasks through AI-driven CCTA will reduce the radiologists' workload considerably, which is a standard benefit of such technologies. More importantly, it would enable radiologists to allocate more time and expertise to complex cases, thereby improving overall patient care. However, the field of AI in CCTA is not without its challenges, which include data protection, algorithm transparency, as well as criteria for standardization encoding. Despite such obstacles, it appears that the integration of AI technology into CCTA in the future holds great promise for keeping CAD itself in check, thereby aiding the fight against this disease and begetting better clinical outcomes and more optimized modes of healthcare. Future research on AI algorithms for CCTA, making ethical use of AI, and thereby overcoming the technical and clinical barriers to widespread adoption of this new tool, will hopefully pave the way for profound AI-driven transformations in healthcare.
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Affiliation(s)
| | - Inayat Grewal
- Department of Medicine, Government Medical College and Hospital, Chandigarh, IND
| | | | | | - Simran Goraya
- Department of Medicine, Kharkiv National Medical University, Kharkiv, UKR
| | | | - Aishwarya Gadwal
- Department of Radiodiagnosis, St. John's Medical College and Hospital, Bengaluru, IND
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Yu L, He W, Qin W, Wang K, Guo W, Wang S. Noninvasive computed tomography derived fractional flow reserve simulation based on microvascular tree model reconstruction. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2023; 39:e3643. [PMID: 36054275 DOI: 10.1002/cnm.3643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 07/22/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
To establish a novel method for noninvasive computed tomography derived fractional flow reserve (CT-FFR) simulation based on microvascular tree model reconstruction and to evaluate the feasibility and diagnostic performance of the novel method in coronary artery disease compared with invasive fractional flow reserve (FFR). Twenty patients (20 vessels) who underwent coronary computed tomography angiography (CCTA) and invasive FFR were retrospectively studied. The anatomic epicardial coronary artery model was reconstructed based on CCTA image, and the microvascular tree model was simulated based on patient-specific anatomical structures and physiological principles. Numerical simulation was subsequently performed using the CFD method with full consideration of the variation of viscosity in microvascular. Two patients with the FFR value of .80 were selected for adjusting the parameters of the model, while the remaining 18 patients were selected as a validation cohort. After simulation, CT-FFR was compared with invasive FFR with a threshold of .80. Eleven (55%) patients had an abnormal FFR that was less than or equal to .80. Compared with invasive FFR, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of CT-FFR with an optimal threshold of .80 were 100%, 77.8%, 81.8%, 100%, 88.89%, respectively. There were a good correlation and consistency between CT-FFR and invasive FFR. Time per patient of CT-FFR analysis was less than 15 min. CT-FFR based on microvascular tree model reconstruction is feasible with good diagnostic performance. It requires a short processing time with excellent accuracy. Large multicenter prospective studies are required for further demonstrating the diagnostic performance of this novel model in myocardium ischemia evaluation.
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Affiliation(s)
- Long Yu
- Department of aeronautics and astronautics, Fudan University, Shanghai, China
| | - Wei He
- Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wang Qin
- Department of aeronautics and astronautics, Fudan University, Shanghai, China
| | - Keqiang Wang
- Institute of Panvascular Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Weifeng Guo
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shengzhang Wang
- Department of aeronautics and astronautics, Fudan University, Shanghai, China
- Institute of Biomedical Engineering Technology, Academy for Engineering and Technology, Fudan University, Shanghai, China
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Becker LM, Peper J, Verhappen BJLA, Swart LA, Dedic A, van Dockum WG, van der Ent M, Royaards KJ, Niezen A, Hensen JHJ, van Kuijk JP, Mohamed Hoesein FAA, Leiner T, Bruning TA, Swaans MJ. Real world impact of added FFR-CT to coronary CT angiography on clinical decision-making and patient prognosis - IMPACT FFR study. Eur Radiol 2023; 33:5465-5475. [PMID: 36920521 PMCID: PMC10326083 DOI: 10.1007/s00330-023-09517-z] [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: 06/24/2022] [Revised: 01/04/2023] [Accepted: 02/06/2023] [Indexed: 03/16/2023]
Abstract
OBJECTIVES The addition of CT-derived fractional flow reserve (FFR-CT) increases the diagnostic accuracy of coronary CT angiography (CCTA). We assessed the impact of FFR-CT in routine clinical practice on clinical decision-making and patient prognosis in patients suspected of stable coronary artery disease (CAD). METHODS This retrospective, single-center study compared a cohort that received CCTA with FFR-CT to a historical cohort that received CCTA before FFR-CT was available. We assessed the clinical management decisions after FFR-CT and CCTA and the rate of major adverse cardiac events (MACEs) during the 1-year follow-up using chi-square tests for independence. Kaplan-Meier curves were used to visualize the occurrence of safety outcomes over time. RESULTS A total of 360 patients at low to intermediate risk of CAD were included, 224 in the CCTA only group, and 136 in the FFR-CT group. During follow-up, 13 MACE occurred in 12 patients, 9 (4.0%) in the CCTA group, and three (2.2%) in the FFR-CT group. Clinical management decisions differed significantly between both groups. After CCTA, 60 patients (26.5%) received optimal medical therapy (OMT) only, 115 (51.3%) invasive coronary angiography (ICA), and 49 (21.9%) single positron emission CT (SPECT). After FFR-CT, 106 patients (77.9%) received OMT only, 27 (19.9%) ICA, and three (2.2%) SPECT (p < 0.001 for all three options). The revascularization rate after ICA was similar between groups (p = 0.15). However, patients in the CCTA group more often underwent revascularization (p = 0.007). CONCLUSION Addition of FFR-CT to CCTA led to a reduction in (invasive) diagnostic testing and less revascularizations without observed difference in outcomes after 1 year. KEY POINTS • Previous studies have shown that computed tomography-derived fractional flow reserve improves the accuracy of coronary computed tomography angiography without changes in acquisition protocols. • This study shows that use of computed tomography-derived fractional flow reserve as gatekeeper to invasive coronary angiography in patients suspected of stable coronary artery disease leads to less invasive testing and revascularization without observed difference in outcomes after 1 year. • This could lead to a significant reduction in costs, complications and (retrospectively unnecessary) usage of diagnostic testing capacity, and a significant increase in patient satisfaction.
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Affiliation(s)
- Leonie M Becker
- Department of Cardiology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Joyce Peper
- Department of Cardiology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bram J L A Verhappen
- Department of Cardiology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands
| | - Laurens A Swart
- Department of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Admir Dedic
- Department of Cardiology, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands
| | | | | | - Kees-Jan Royaards
- Department of Cardiology, Maasstad Hospital, Rotterdam, The Netherlands
| | - André Niezen
- Department of Radiology, Maasstad Hospital, Rotterdam, The Netherlands
| | - Jan-Hein J Hensen
- Department of Radiology, Maasstad Hospital, Rotterdam, The Netherlands
| | - Jan-Peter van Kuijk
- Department of Cardiology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands
| | | | - Tim Leiner
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Radiology, Mayo Clinic Rochester Minnesota, Rochester, USA
| | - Tobias A Bruning
- Department of Cardiology, Maasstad Hospital, Rotterdam, The Netherlands
| | - Martin J Swaans
- Department of Cardiology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands
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Alzhanov N, Ng EYK, Su X, Zhao Y. CFD Computation of Flow Fractional Reserve (FFR) in Coronary Artery Trees Using a Novel Physiologically Based Algorithm (PBA) Under 3D Steady and Pulsatile Flow Conditions. Bioengineering (Basel) 2023; 10:bioengineering10030309. [PMID: 36978700 PMCID: PMC10045432 DOI: 10.3390/bioengineering10030309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/01/2023] [Accepted: 02/06/2023] [Indexed: 03/06/2023] Open
Abstract
A novel physiologically based algorithm (PBA) for the computation of fractional flow reserve (FFR) in coronary artery trees (CATs) using computational fluid dynamics (CFD) is proposed and developed. The PBA was based on an extension of Murray’s law and additional inlet conditions prescribed iteratively and was implemented in OpenFOAM v1912 for testing and validation. 3D models of CATs were created using CT scans and computational meshes, and the results were compared to invasive coronary angiographic (ICA) data to validate the accuracy and effectiveness of the PBA. The discrepancy between the calculated and experimental FFR was within 2.33–5.26% in the steady-state and transient simulations, respectively, when convergence was reached. The PBA was a reliable and physiologically sound technique compared to a current lumped parameter model (LPM), which is based on empirical scaling correlations and requires nonlinear iterative computing for convergence. The accuracy of the PBA method was further confirmed using an FDA nozzle, which demonstrated good alignment with the CFD-validated values.
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Affiliation(s)
- Nursultan Alzhanov
- Mechanical and Aerospace Engineering Department, School of Engineering, Nazarbayev University, Asana 010000, Kazakhstan
| | - Eddie Y. K. Ng
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Xiaohui Su
- School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Yong Zhao
- Mechanical and Aerospace Engineering Department, School of Engineering, Nazarbayev University, Asana 010000, Kazakhstan
- Correspondence:
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Baeßler B, Götz M, Antoniades C, Heidenreich JF, Leiner T, Beer M. Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective. Front Cardiovasc Med 2023; 10:1120361. [PMID: 36873406 PMCID: PMC9978503 DOI: 10.3389/fcvm.2023.1120361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/25/2023] [Indexed: 02/18/2023] Open
Abstract
Coronary computed tomography angiography (CCTA) is increasingly the cornerstone in the management of patients with chronic coronary syndromes. This fact is reflected by current guidelines, which show a fundamental shift towards non-invasive imaging - especially CCTA. The guidelines for acute and stable coronary artery disease (CAD) of the European Society of Cardiology from 2019 and 2020 emphasize this shift. However, to fulfill this new role, a broader availability in adjunct with increased robustness of data acquisition and speed of data reporting of CCTA is needed. Artificial intelligence (AI) has made enormous progress for all imaging methodologies concerning (semi)-automatic tools for data acquisition and data post-processing, with outreach toward decision support systems. Besides onco- and neuroimaging, cardiac imaging is one of the main areas of application. Most current AI developments in the scenario of cardiac imaging are related to data postprocessing. However, AI applications (including radiomics) for CCTA also should enclose data acquisition (especially the fact of dose reduction) and data interpretation (presence and extent of CAD). The main effort will be to integrate these AI-driven processes into the clinical workflow, and to combine imaging data/results with further clinical data, thus - beyond the diagnosis of CAD- enabling prediction and forecast of morbidity and mortality. Furthermore, data fusing for therapy planning (e.g., invasive angiography/TAVI planning) will be warranted. The aim of this review is to present a holistic overview of AI applications in CCTA (including radiomics) under the umbrella of clinical workflows and clinical decision-making. The review first summarizes and analyzes applications for the main role of CCTA, i.e., to non-invasively rule out stable coronary artery disease. In the second step, AI applications for additional diagnostic purposes, i.e., to improve diagnostic power (CAC = coronary artery classifications), improve differential diagnosis (CT-FFR and CT perfusion), and finally improve prognosis (again CAC plus epi- and pericardial fat analysis) are reviewed.
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Affiliation(s)
- Bettina Baeßler
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany
| | - Michael Götz
- Division of Experimental Radiology, Department for Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
| | - Charalambos Antoniades
- British Heart Foundation Chair of Cardiovascular Medicine, Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom
| | - Julius F. Heidenreich
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany
| | - Tim Leiner
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Meinrad Beer
- Department for Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
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Eslami V, Safi M, Namazi MH, Pishgahi M, Eftekharzade A, Eftekharzadeh SA. Value of Delta Fractional Flow Reserve (ΔFFR) For Predicting Coronary Ischemic Lesions. Galen Med J 2021; 9:e1528. [PMID: 34466551 PMCID: PMC8344029 DOI: 10.31661/gmj.v9i0.1528] [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: 02/14/2019] [Revised: 08/05/2020] [Accepted: 08/09/2020] [Indexed: 12/03/2022] Open
Abstract
Background: The decrease in fractional flow reserve (FFR) after adenosine administration from baseline FFR value (termed as ΔFFR) may reflect the compensatory capacity of the microvascular circulation and thus may predict significant coronary stenotic lesions. We aimed to investigate whether baseline FFR and ΔFFR can help identify the coronary ischemic lesion and its severity. Materials and Methods: This cross-sectional study was performed on 154 consecutive patients (Mean age 62.42 ± 9.36 years) that underwent coronary angiography and with definitive intermediate coronary lesions at any of the coronary vessels. FFR was calculated by dividing the mean distal intracoronary pressure by the mean arterial pressure. ΔFFR was also defined as the difference between baseline FFR and hyperemic FFR (considering FFR<0.75 as the criteria for ischemia). Results: The area under receiver-operating characteristic curve for baseline FFR was found as 0.933, and for ΔFFR was 0.946 indicated high values of both indices for predicting ischemic lesions. The best cut-off point for baseline FFR and ΔFFR for discriminating ischemic lesions from the normal condition was 89.5 (yielding a sensitivity of 92.2% and a specificity of 68.0%) and 9.5 (yielding a sensitivity of 96.0% and a specificity of 85.3%), respectively. Conclusion: Our study could successfully demonstrate the high value of both baseline FFR and ΔFFR for predicting coronary ischemic lesions with the cut-off values of <89.5 and >9.5, respectively.
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Affiliation(s)
- Vahid Eslami
- Shahid Beheshti University of Medical Sciences, Cardiovascular Research Center, Tehran, Iran
| | - Morteza Safi
- Shahid Beheshti University of Medical Sciences, Cardiovascular Research Center, Tehran, Iran
| | - Mohammad hasan Namazi
- Shahid Beheshti University of Medical Sciences, Cardiovascular Research Center, Tehran, Iran
| | - Mehdi Pishgahi
- Shahid Beheshti University of Medical Sciences, Cardiovascular Research Center, Tehran, Iran
| | - Amir Eftekharzade
- Shahid Beheshti University of Medical Sciences, Cardiovascular Research Center, Tehran, Iran
| | - Sayyed Ali Eftekharzadeh
- Shahid Beheshti University of Medical Sciences, Cardiovascular Research Center, Tehran, Iran
- Correspondence to: Sayyed Ali Eftekharzadeh, Shahid Beheshti University of Medical Sciences, Cardiovascular Research Center, Tehran, Iran Telephone Number: 09121811609 Email Address:
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Coronary computed tomography angiography using model-based iterative reconstruction algorithms in the detection of significant coronary stenosis: how the plaque type influences the diagnostic performance. Pol J Radiol 2019; 84:e522-e529. [PMID: 32082450 PMCID: PMC7016499 DOI: 10.5114/pjr.2019.91259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 11/04/2019] [Indexed: 01/14/2023] Open
Abstract
Purpose To evaluate the ability of coronary computed tomography angiography (CCTA) with model-based iterative reconstruction (MBIR) algorithm in detecting significant coronary artery stenosis compared with invasive coronary angiography (ICA). Material and methods We retrospectively identified 55 patients who underwent CCTA using the MBIR algorithm with evidence of at least one significant stenosis (≥ 50%) and an ICA within three months. Patients were stratified based on calcium score; stenoses were classified by type and by coronary segment involved. Dose-length-product was compared with the literature data obtained with previous reconstruction algorithms. Coronary artery stenosis was estimated on ICAs based on a qualitative method. Results CCTA data were confirmed by ICA in 89% of subjects, and in 73% and 94% of patients with CS < 400 and ≥ 400, respectively. ICA confirmed 81% of calcific stenoses, 91% of mixed, and 67% of soft plaques. Both the dose exposure of patients with prospective acquisition (34) and the exposure of the whole population were significantly lower than the standard of reference (p < 0.001 and p = 0.007). Conclusions CCTA with MBIR is valuable in detecting significant coronary artery stenosis with a solid reduction of radiation dose. Diagnostic performance was influenced by plaque composition, being lower compared with ICA for patients with lower CAC score and soft plaques; the visualisation of an intraluminal hypodensity could cause false positives, particularly in D1 and MO segments.
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Carson JM, Roobottom C, Alcock R, Nithiarasu P. Computational instantaneous wave-free ratio (IFR) for patient-specific coronary artery stenoses using 1D network models. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2019; 35:e3255. [PMID: 31469943 PMCID: PMC7003475 DOI: 10.1002/cnm.3255] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 07/22/2019] [Accepted: 08/21/2019] [Indexed: 05/05/2023]
Abstract
In this work, we estimate the diagnostic threshold of the instantaneous wave-free ratio (iFR) through the use of a one-dimensional haemodynamic framework. To this end, we first compared the computed fractional flow reserve (cFFR) predicted from a 1D computational framework with invasive clinical measurements. The framework shows excellent promise and utilises minimal patient data from a cohort of 52 patients with a total of 66 stenoses. The diagnostic accuracy of the cFFR model was 75.76%, with a sensitivity of 71.43%, a specificity of 77.78%, a positive predictive value of 60%, and a negative predictive value of 85.37%. The validated model was then used to estimate the diagnostic threshold of iFR. The model determined a quadratic relationship between cFFR and the ciFR. The iFR diagnostic threshold was determined to be 0.8910 from a receiver operating characteristic curve that is in the range of 0.89 to 0.9 that is normally reported in clinical studies.
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Affiliation(s)
- Jason M. Carson
- Zienkiewicz Centre for Computational Engineering, College of EngineeringSwansea UniversitySwanseaUK
- Data Science Building, Swansea University Medical SchoolSwansea UniversitySwanseaUK
- HDR UK Wales and Northern IrelandHealth Data Research UKLondonUK
| | - Carl Roobottom
- Derriford Hospital and Peninsula Medical SchoolPlymouth Hospitals NHS TrustPlymouthUK
| | - Robin Alcock
- Derriford Hospital and Peninsula Medical SchoolPlymouth Hospitals NHS TrustPlymouthUK
| | - Perumal Nithiarasu
- Zienkiewicz Centre for Computational Engineering, College of EngineeringSwansea UniversitySwanseaUK
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10
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Taron J, Foldyna B, Eslami P, Hoffmann U, Nikolaou K, Bamberg F. Cardiac Computed Tomography - More Than Coronary Arteries? A Clinical Update. ROFO-FORTSCHR RONTG 2019; 191:817-826. [PMID: 31250415 PMCID: PMC6839890 DOI: 10.1055/a-0924-5883] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Rapid improvement of scanner and postprocessing technology as well as the introduction of minimally invasive procedures requiring preoperative imaging have led to the broad utilization of cardiac computed tomography (CT) beyond coronary CT angiography (CTA). METHOD This review article presents an overview of recent literature on cardiac CT. The goal is to summarize the current guidelines on performing cardiac CT and to list established as well as emerging techniques with a special focus on extracoronary applications. RESULTS AND CONCLUSION Most recent guidelines for the appropriate use of cardiac CT include the evaluation of coronary artery disease, cardiac morphology, intra- and extracardiac structures, and functional and structural assessment of the myocardium under certain conditions. Besides coronary CTA, novel applications such as the calculation of a CT-derived fractional flow reserve (CT-FFR), assessment of myocardial function and perfusion imaging, as well as pre-interventional planning in valvular heart disease or prior pulmonary vein ablation in atrial fibrillation are becoming increasingly important. Especially these extracoronary applications are of growing interest in the field of cardiac CT and are expected to be gradually implemented in the daily clinical routine. KEY POINTS · Coronary artery imaging remains the main indication for cardiac CT. · Novel computational fluid dynamics allow the calculation of a CT-derived fractional flow reserve in patients with known or suspected coronary artery disease. · Cardiac CT delivers information on left ventricular volume as well as myocardial function and perfusion. · CT is the cardinal element for pre-interventional planning in transcatheter valve implantation and pulmonary vein isolation. CITATION FORMAT · Taron J, Foldyna B, Eslami P et al. Cardiac Computed Tomography - More Than Coronary Arteries? A Clinical Update. Fortschr Röntgenstr 2019; 191: 817 - 826.
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Affiliation(s)
- Jana Taron
- Cardiac MR PET CT Program, Massachusetts General-Hospital – Harvard Medical School, Boston, United States
- Department of Diagnostic and Interventional Radiology, University-Hospital Tübingen, Germany
| | - Borek Foldyna
- Cardiac MR PET CT Program, Massachusetts General-Hospital – Harvard Medical School, Boston, United States
| | - Parastou Eslami
- Cardiac MR PET CT Program, Massachusetts General-Hospital – Harvard Medical School, Boston, United States
| | - Udo Hoffmann
- Cardiac MR PET CT Program, Massachusetts General-Hospital – Harvard Medical School, Boston, United States
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University-Hospital Tübingen, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
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Emerging Role of Coronary Computed Tomography Angiography in Lipid-Lowering Therapy: a Bridge to Image-Guided Personalized Medicine. Curr Cardiol Rep 2019; 21:72. [DOI: 10.1007/s11886-019-1170-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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12
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Abstract
Advanced cardiac imaging, following technological advances, has progressed significantly; it now serves as a diagnostic as well as a prognostic tool. Heart failure patients demand constant follow-up with baseline imaging such as echocardiography or more advanced imaging such as stress imaging. Imaging guides treatment as well as interventional procedures for the improvement of heart failure patients. This review aims to summarise the latest imaging techniques in heart failure diagnosis and treatment.
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Affiliation(s)
- Santhi Adigopula
- Heart and Vascular Institute, Cleveland Clinic Foundation, Cleveland Clinic Lerner School of Medicine Ohio, USA.,Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, United Arab Emirates
| | - Julia Grapsa
- Heart and Vascular Institute, Cleveland Clinic Foundation, Cleveland Clinic Lerner School of Medicine Ohio, USA.,Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, United Arab Emirates
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13
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Tahir H, Ahmad S, Awan MU, Omar B, Glass J, Cole J. Anomalous Origin of Left Anterior Descending Artery and Left Circumflex Artery from Right Coronary Sinus with Malignant Left Anterior Descending Artery Course: Role of Coronary CT Angiography Derived Fractional Flow Reserve in Decision Making. Cureus 2018; 10:e3220. [PMID: 30405995 PMCID: PMC6205891 DOI: 10.7759/cureus.3220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 08/28/2018] [Indexed: 11/18/2022] Open
Abstract
Congenital coronary anomalies are uncommon and are mostly asymptomatic; however, patients may have symptoms depending on the origin and course of anomalous artery. Very rarely, coronary anomalies can also lead to life-threatening complications especially in young athletes. A malignant course of the left main (LM) or left anterior descending (LAD) artery between aorta and pulmonary artery is considered the most significant risk factor for such complications. Various noninvasive tests are available to evaluate myocardial ischemia due to anomalous coronary artery. Coronary computed tomography (CT) angiogram derived fractional flow reserve (CT-FFR) is a noninvasive diagnostic test which has shown promising results in the hemodynamic assessment of obstructive coronary artery disease. However, its role in coronary anomalies has not been studied. We present a case of a 22-year-old male who presented with atypical chest pain and was found to have anomalous origin of left anterior descending (LAD) artery and left circumflex (LCX) artery from right coronary sinus. LAD had a malignant course for which CT-FFR was done which was hemodynamically nonsignificant. The decision was made to manage the patient conservatively.
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Affiliation(s)
| | - Sajjad Ahmad
- Cardiology, University of South Alabama, Mobile, USA
| | | | - Bassam Omar
- Cardiology, University of South Alabama, Mobile, USA
| | - Joey Glass
- Director Cardiac Ct, Cardiology Associates, Mobile, USA
| | - Jason Cole
- Medical Director, Cardiology Associates, Mobile, USA
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Agasthi P, Kanmanthareddy A, Khalil C, Egbuche O, Yarlagadda V, Sachdeva R, Arsanjani R. Comparison of Computed Tomography derived Fractional Flow Reserve to invasive Fractional Flow Reserve in Diagnosis of Functional Coronary Stenosis: A Meta-Analysis. Sci Rep 2018; 8:11535. [PMID: 30069020 PMCID: PMC6070545 DOI: 10.1038/s41598-018-29910-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 07/19/2018] [Indexed: 12/14/2022] Open
Abstract
Computed Tomography derived Fractional Flow Reserve (CTFFR) is an emerging non-invasive imaging modality to assess functional significance of coronary stenosis. We performed a meta-analysis to compare the diagnostic performance of CTFFR to invasive Fractional Flow reserve (FFR). Electronic search was performed to identify relevant articles. Pooled Estimates of sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-) and diagnostic odds ratio (DOR) with corresponding 95% confidence intervals (CI) were calculated at the patient level as well as the individual vessel level using hierarchical logistic regression, summary receiver operating characteristic (SROC) curve and area under the curve were estimated. Our search yielded 559 articles and of these 17 studies was included in the analysis. A total of 2,191 vessels in 1294 patients were analyzed. Pooled estimates of sensitivity, specificity, LR+, LR- and DOR with corresponding 95% CI at per-patient level were 83% (79-87), 72% (68-76), 3.0 (2.6-3.5), 0.23 (0.18-0.29) and 13 (9-18) respectively. Pooled estimates of sensitivity, specificity, LR+, LR- and DOR with corresponding 95% CI at per-vessel level were 85% (83-88), 76% (74-79), 3.6 (3.3-4.0), 0.19 (0.16-0.22) and 19 (15-24). The area under the SROC curve was 0.89 for both per patient level and at the per vessel level. In our meta-analysis, CTFFR demonstrated good diagnostic performance in identifying functionally significant coronary artery stenosis compared to the FFR.
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Affiliation(s)
- Pradyumna Agasthi
- Division of Cardiovascular Diseases, Mayo Clinic Arizona, Phoenix, Arizona, USA.
| | - Arun Kanmanthareddy
- Division of Cardiovascular Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Charl Khalil
- Division of Cardiovascular Diseases, Mayo Clinic Arizona, Phoenix, Arizona, USA
| | - Obiora Egbuche
- Division of Cardiology, Department of Medicine, Morehouse School of Medicine, Atlanta, Georgia
| | - Vivek Yarlagadda
- Department of Internal Medicine, Atlanticare Regional Medical Center, Atlantic City, New Jersey, USA
| | - Rajesh Sachdeva
- Division of Cardiology, Department of Medicine, Morehouse School of Medicine, Atlanta, Georgia
| | - Reza Arsanjani
- Division of Cardiovascular Diseases, Mayo Clinic Arizona, Phoenix, Arizona, USA
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15
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Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR. Int J Cardiovasc Imaging 2018; 34:1987-1996. [PMID: 30062537 DOI: 10.1007/s10554-018-1419-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 07/23/2018] [Indexed: 12/27/2022]
Abstract
To explore the diagnostic performance of a machine-learning-based (ML-based) computed fractional flow reserve (cFFR) derived from coronary computed tomography angiography (CCTA) in identifying ischemia-causing lesions verified by invasive FFR in catheter coronary angiography (ICA). We retrospectively studied 117 intermediate coronary artery lesions [40-80% diameter stenosis (DS)] from 105 patients (mean age 62 years, 32 female) who had undergone invasive FFR. CCTA images were used to compute cFFR values on the workstation. DS and the myocardium jeopardy index (MJI) of coronary stenosis were also assessed with CCTA. The diagnostic performance of cFFR was evaluated, including its correlation with invasive FFR and its diagnostic accuracy. Then, its performance was compared to that of combined DS and MJI. Of the 117 lesions, 36 (30.8%) had invasive FFR ≤ 0.80; 22 cFFR were measured as true positives and 74 cFFR as true negatives. The average time of cFFR assessment was 18 ± 7 min. The cFFR correlated strongly to invasive FFR (Spearman's coefficient 0.665, p < 0.01). When diagnosing invasive FFR ≤ 0.80, the accuracy of cFFR was 82% with an AUC of 0.864, which was significantly higher than that of DS (accuracy 75%, AUC 0.777, p = 0.013). The AUC of cFFR was not significantly different from that of combined DS and MJI (0.846, p = 0.743). cFFR ≤ 0.80 based on CCTA showed good diagnostic performance for detecting ischemia-producing lesions verified by invasive FFR. The short calculation time required renders cFFR promising for clinical use.
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Johnston CM, Krafft AJ, Russe MF, Rog-Zielinska EA. A new look at the heart-novel imaging techniques. Herzschrittmacherther Elektrophysiol 2017; 29:14-23. [PMID: 29242981 DOI: 10.1007/s00399-017-0546-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 11/24/2017] [Indexed: 01/20/2023]
Abstract
The development and successful implementation of cutting-edge imaging technologies to visualise cardiac anatomy and function is a key component of effective diagnostic efforts in cardiology. Here, we describe a number of recent exciting advances in the field of cardiology spanning from macro- to micro- to nano-scales of observation, including magnetic resonance imaging, computed tomography, optical mapping, photoacoustic imaging, and electron tomography. The methodologies discussed are currently making the transition from scientific research to routine clinical use, albeit at different paces. We discuss the most likely trajectory of this transition into clinical research and standard diagnostics, and highlight the key challenges and opportunities associated with each of the methodologies.
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Affiliation(s)
- C M Johnston
- Institute for Experimental Cardiovascular Medicine, University Heart Center, Medical Center - University of Freiburg, and Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - A J Krafft
- Department of Radiology, Medical Physics, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - M F Russe
- Department of Radiology, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - E A Rog-Zielinska
- Institute for Experimental Cardiovascular Medicine, University Heart Center, Medical Center - University of Freiburg, and Faculty of Medicine, University of Freiburg, Freiburg, Germany.
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Abstract
Coronary computed tomographic angiography has become a reliable diagnostic tool in the evaluation of patients with chest pain. Studies have shown this modality to be accurate and safe when compared with conventional methods of assessing patients with chest pain. We review the recent developments with coronary computed tomographic angiography and devote particular attention toward its application to triage patients in the emergency department.
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Affiliation(s)
- Nikhil Goyal
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA
| | - Arthur Stillman
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA
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