1
|
Liga R, Korosoglou G. Editorial: Case reports in cardiovascular imaging 2023. Front Cardiovasc Med 2024; 11:1424893. [PMID: 38867849 PMCID: PMC11167077 DOI: 10.3389/fcvm.2024.1424893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 05/20/2024] [Indexed: 06/14/2024] Open
Affiliation(s)
- Riccardo Liga
- Department of Surgical Pathology, University of Pisa, Pisa, Italy
- Cardiothoracic and Vascular Department, University Hospital of Pisa, Pisa, Italy
| | - Grigorios Korosoglou
- Department of Cardiology, Vascular Medicine and Pneumology, GRN Hospital Weinheim, Weinheim, Germany
- Cardiac Imaging Center Weinheim, Hector Foundation, Weinheim, Germany
| |
Collapse
|
2
|
Hou Q, Wu W, Fang L, Zhang X, Sun C, Ji L, Yang M, Lei Z, Gao F, Wang J, Xie M, Chen S. Patient-specific computational fluid dynamics for hypertrophic obstructive cardiomyopathy. Int J Cardiol 2023; 389:131263. [PMID: 37574025 DOI: 10.1016/j.ijcard.2023.131263] [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: 05/15/2023] [Revised: 07/25/2023] [Accepted: 08/10/2023] [Indexed: 08/15/2023]
Abstract
BACKGROUND The heterogeneous morphologic and functional expression of hypertrophic obstructive cardiomyopathy (HOCM) is evidenced by established imaging, multimodality imaging is essential for a comprehensive assessment but may remain uncertain. This study aimed to develop a patient-specific hemodynamics assessment with cardiac computed tomography angiography (CCTA) based computational fluid dynamics (CFD) and prove its usability in cohorts of HOCM patients. METHODS A retrospective study was performed on eight HOCM patients with septal myectomy who had both preoperative and postoperative CCTA as well as transthoracic echocardiography (TTE). The three-dimensional models were reconstructed from CCTA data, following which patient-specific CFD simulations were performed to estimate the blood velocity, pressure gradient, and wall shear stress. The simulation output was compared with TTE. Based on CFD simulations, retrospective and blinded virtual myectomy was also performed, to predict the minimum resected volume for improving obstruction in patients. RESULT The complex HOCM anatomy was successfully reconstructed for all 8 patients. The CFD simulation accurately assessed the pressure gradient, flow velocity. There was a good correlation between the peak pressure gradient measured by CFD and TTE in the pre- and post-operative assessments (r = 0.87 and 0.84, respectively), and the flow velocity (r = 0.87 and 0.90, respectively). The volumes of minimal resection myocardium predicted by CFD and virtual myectomy were consistent with the actual resection volumes. CONCLUSION CCTA-based CFD for HOCM patients may play a unique role in the assessment of patient-specific morphology and hemodynamics. Combination with virtual myectomy might allow for optimizing therapy planning in septal myectomy. CLINICAL PERSPECTIVE CFD based CCTA may emerge as a complement to established imaging strategies, with accurate three-dimensional reconstruction and hemodynamic simulation of the left ventricle in this retrospective study. Combined with virtual myectomy, CFD simulation might allow for predicting the volume of resected myocardium for septal myectomy. Moving forward, this technology may be used by clinicians to better assess the conditions of HOCM patients, and guide the extent and depth of resection during septal myectomy. Therefore, further prospective clinical evaluation is clearly warranted.
Collapse
Affiliation(s)
- Quanfei Hou
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China
| | - Wenqian Wu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China
| | - Lingyun Fang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China
| | - Xin Zhang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China
| | - Chenchen Sun
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China
| | - Li Ji
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China
| | - Ming Yang
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China; Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziqiao Lei
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China; Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fan Gao
- Department of Simulation Science and Technology, Boea Wisdom (Hangzhou) Network Technology Co., Ltd, Hangzhou 310000, China
| | - Jing Wang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China.
| | - Mingxing Xie
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Clinical Research Center for Medical Imaging, Wuhan, China.
| | - Shu Chen
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| |
Collapse
|
3
|
Mehta CR, Naeem A, Patel Y. Cardiac Computed Tomography Angiography in CAD Risk Stratification and Revascularization Planning. Diagnostics (Basel) 2023; 13:2902. [PMID: 37761268 PMCID: PMC10530183 DOI: 10.3390/diagnostics13182902] [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: 07/26/2023] [Revised: 08/25/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
PURPOSE OF REVIEW Functional stress testing is frequently used to assess for coronary artery disease (CAD) in symptomatic, stable patients with low to intermediate pretest probability. However, patients with highly vulnerable plaque may have preserved luminal patency and, consequently, a falsely negative stress test. Cardiac computed tomography angiography (CCTA) has emerged at the forefront of primary prevention screening and has excellent agency in ruling out obstructive CAD with high negative predictive value while simultaneously characterizing nonobstructive plaque for high-risk features, which invariably alters risk-stratification and pre-procedural decision making. RECENT FINDINGS We review the literature detailing the utility of CCTA in its ability to risk-stratify patients with CAD based on calcium scoring as well as high-risk phenotypic features and to qualify the functional significance of stenotic lesions. SUMMARY Calcium scores ≥ 100 should prompt consideration of statin and aspirin therapy. Spotty calcifications < 3 mm, increased non-calcified plaque > 4 mm3 per mm of the vessel wall, low attenuation < 30 HU soft plaque and necrotic core with a rim of higher attenuation < 130 HU, and a positive remodeling index ratio > 1.1 all confer additive risk for acute plaque rupture when present. Elevations in the perivascular fat attenuation index > -70.1 HU are a strong predictor of all-cause mortality and can further the risk stratification of patients in the setting of a non-to-minimal plaque burden. Lastly, a CT-derived fractional flow reserve (FFRCT) < 0.75 or values from 0.76 to 0.80 in conjunction with additional risk factors is suggestive of flow-limiting disease that would benefit from invasive testing. The wealth of information available through CCTA can allow clinicians to risk-stratify patients at elevated risk for an acute ischemic event and engage in advanced revascularization planning.
Collapse
Affiliation(s)
- Chirag R. Mehta
- Department of Cardiology, The Warren Alpert Medical School of Brown University, Providence, RI 02903, USA (Y.P.)
| | | | | |
Collapse
|
4
|
Yang S, Koo BK. Coronary Physiology-Based Approaches for Plaque Vulnerability: Implications for Risk Prediction and Treatment Strategies. Korean Circ J 2023; 53:581-593. [PMID: 37653694 PMCID: PMC10475684 DOI: 10.4070/kcj.2023.0117] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 05/19/2023] [Indexed: 09/02/2023] Open
Abstract
In the catheterization laboratory, the measurement of physiological indexes can help identify functionally significant lesions and has become one of the standard methods to guide treatment decision-making. Plaque vulnerability refers to a coronary plaque susceptible to rupture, enabling risk prediction before coronary events, and it can be detected by defining a certain type of plaque morphology on coronary imaging modalities. Although coronary physiology and plaque vulnerability have been considered different attributes of coronary artery disease, the underlying pathophysiological basis and clinical data indicate a strong correlation between coronary hemodynamic properties and vulnerable plaque. In prediction of coronary events, emerging data have suggested independent and additional implications of a physiology-based approach to a plaque-based approach. This review covers the fundamental interplay between coronary physiology and plaque morphology during disease progression with clinical data supporting this relationship and examines the clinical relevance of physiological indexes in prediction of clinical outcomes and therapeutic decision-making along with plaque vulnerability.
Collapse
Affiliation(s)
- Seokhun Yang
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul National University of College Medicine, Seoul, Korea
| | - Bon-Kwon Koo
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul National University of College Medicine, Seoul, Korea.
| |
Collapse
|
5
|
Liu Z, Ding Y, Dou G, Wang X, Shan D, He B, Jing J, Li T, Chen Y, Yang J. Global trans-lesional computed tomography-derived fractional flow reserve gradient is associated with clinical outcomes in diabetic patients with non-obstructive coronary artery disease. Cardiovasc Diabetol 2023; 22:186. [PMID: 37496009 PMCID: PMC10373274 DOI: 10.1186/s12933-023-01901-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 06/23/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Coronary computed tomography angiography (CCTA)-derived fractional flow reserve (CT-FFR) enables physiological assessment and risk stratification, which is of significance in diabetic patients with nonobstructive coronary artery disease (CAD). We aim to evaluate prognostic value of the global trans-lesional CT-FFR gradient (GΔCT-FFR), a novel metric, in patients with diabetes without flow-limiting stenosis. METHODS Patients with diabetes suspected of having CAD were prospectively enrolled. GΔCT-FFR was calculated as the sum of trans-lesional CT-FFR gradient in all epicardial vessels greater than 2 mm. Patients were stratified into low-gradient without flow-limiting group (CT-FFR > 0.75 and GΔCT-FFR < 0.20), high-gradient without flow-limiting group (CT-FFR > 0.75 and GΔCT-FFR ≥ 0.20), and flow-limiting group (CT-FFR ≤ 0.75). Discriminant ability for major adverse cardiovascular events (MACE) prediction was compared among 4 models [model 1: Framingham risk score; model 2: model 1 + Leiden score; model 3: model 2 + high-risk plaques (HRP); model 4: model 3 + GΔCT-FFR] to determine incremental prognostic value of GΔCT-FFR. RESULTS Of 1215 patients (60.1 ± 10.3 years, 53.7% male), 11.3% suffered from MACE after a median follow-up of 57.3 months. GΔCT-FFR (HR: 2.88, 95% CI 1.76-4.70, P < 0.001) remained independent risk factors of MACE in multivariable analysis. Compared with the low-gradient without flow-limiting group, the high-gradient without flow-limiting group (HR: 2.86, 95% CI 1.75-4.68, P < 0.001) was associated with higher risk of MACE. Among the 4 risk models, model 4, which included GΔCT-FFR, showed the highest C-statistics (C-statistics: 0.75, P = 0.002) as well as a significant net reclassification improvement (NRI) beyond model 3 (NRI: 0.605, P < 0.001). CONCLUSIONS In diabetic patients with non-obstructive CAD, GΔCT-FFR was associated with clinical outcomes at 5 year follow-up, which illuminates a novel and feasible approach to improved risk stratification for a global hemodynamic assessment of coronary artery in diabetic patients.
Collapse
Affiliation(s)
- Zinuan Liu
- Medical School of Chinese PLA, Beijing, China
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Yipu Ding
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
- School of Medicine, Nankai University, Tianjin, China
| | - Guanhua Dou
- Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Xi Wang
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Dongkai Shan
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Bai He
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Jing Jing
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Tao Li
- Department of Radiology, The First Medical Center of PLA General Hospital, Beijing, China
| | - Yundai Chen
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China.
| | - Junjie Yang
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China.
| |
Collapse
|
6
|
Zhou M, Yu Y, Chen R, Liu X, Hu Y, Ma Z, Gao L, Jian W, Wang L. Wall shear stress and its role in atherosclerosis. Front Cardiovasc Med 2023; 10:1083547. [PMID: 37077735 PMCID: PMC10106633 DOI: 10.3389/fcvm.2023.1083547] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 03/09/2023] [Indexed: 04/05/2023] Open
Abstract
Atherosclerosis (AS) is the major form of cardiovascular disease and the leading cause of morbidity and mortality in countries around the world. Atherosclerosis combines the interactions of systemic risk factors, haemodynamic factors, and biological factors, in which biomechanical and biochemical cues strongly regulate the process of atherosclerosis. The development of atherosclerosis is directly related to hemodynamic disorders and is the most important parameter in the biomechanics of atherosclerosis. The complex blood flow in arteries forms rich WSS vectorial features, including the newly proposed WSS topological skeleton to identify and classify the WSS fixed points and manifolds in complex vascular geometries. The onset of plaque usually occurs in the low WSS area, and the plaque development alters the local WSS topography. low WSS promotes atherosclerosis, while high WSS prevents atherosclerosis. Upon further progression of plaques, high WSS is associated with the formation of vulnerable plaque phenotype. Different types of shear stress can lead to focal differences in plaque composition and to spatial variations in the susceptibility to plaque rupture, atherosclerosis progression and thrombus formation. WSS can potentially gain insight into the initial lesions of AS and the vulnerable phenotype that gradually develops over time. The characteristics of WSS are studied through computational fluid dynamics (CFD) modeling. With the continuous improvement of computer performance-cost ratio, WSS as one of the effective parameters for early diagnosis of atherosclerosis has become a reality and will be worth actively promoting in clinical practice. The research on the pathogenesis of atherosclerosis based on WSS is gradually an academic consensus. This article will comprehensively review the systemic risk factors, hemodynamics and biological factors involved in the formation of atherosclerosis, and combine the application of CFD in hemodynamics, focusing on the mechanism of WSS and the complex interactions between WSS and plaque biological factors. It is expected to lay a foundation for revealing the pathophysiological mechanisms related to abnormal WSS in the progression and transformation of human atherosclerotic plaques.
Collapse
Affiliation(s)
- Manli Zhou
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Yunfeng Yu
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China
- The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Ruiyi Chen
- The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Xingci Liu
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China
- The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Yilei Hu
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Zhiyan Ma
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Lingwei Gao
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Weixiong Jian
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China
- National Key Discipline of Traditional Chinese Medicine Diagnostics, Hunan Provincial Key Laboratory, Hunan University of Chinese Medicine, Changsha, China
- Correspondence: Weixiong Jian Liping Wang
| | - Liping Wang
- College of Rehabilitation Medicine and Health Care, Hunan University of Medicine, Huaihua, China
- Correspondence: Weixiong Jian Liping Wang
| |
Collapse
|
7
|
Giacobbe G, Granata V, Trovato P, Fusco R, Simonetti I, De Muzio F, Cutolo C, Palumbo P, Borgheresi A, Flammia F, Cozzi D, Gabelloni M, Grassi F, Miele V, Barile A, Giovagnoni A, Gandolfo N. Gender Medicine in Clinical Radiology Practice. J Pers Med 2023; 13:jpm13020223. [PMID: 36836457 PMCID: PMC9966684 DOI: 10.3390/jpm13020223] [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: 12/24/2022] [Revised: 01/18/2023] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
Gender Medicine is rapidly emerging as a branch of medicine that studies how many diseases common to men and women differ in terms of prevention, clinical manifestations, diagnostic-therapeutic approach, prognosis, and psychological and social impact. Nowadays, the presentation and identification of many pathological conditions pose unique diagnostic challenges. However, women have always been paradoxically underestimated in epidemiological studies, drug trials, as well as clinical trials, so many clinical conditions affecting the female population are often underestimated and/or delayed and may result in inadequate clinical management. Knowing and valuing these differences in healthcare, thus taking into account individual variability, will make it possible to ensure that each individual receives the best care through the personalization of therapies, the guarantee of diagnostic-therapeutic pathways declined according to gender, as well as through the promotion of gender-specific prevention initiatives. This article aims to assess potential gender differences in clinical-radiological practice extracted from the literature and their impact on health and healthcare. Indeed, in this context, radiomics and radiogenomics are rapidly emerging as new frontiers of imaging in precision medicine. The development of clinical practice support tools supported by artificial intelligence allows through quantitative analysis to characterize tissues noninvasively with the ultimate goal of extracting directly from images indications of disease aggressiveness, prognosis, and therapeutic response. The integration of quantitative data with gene expression and patient clinical data, with the help of structured reporting as well, will in the near future give rise to decision support models for clinical practice that will hopefully improve diagnostic accuracy and prognostic power as well as ensure a more advanced level of precision medicine.
Collapse
Affiliation(s)
- Giuliana Giacobbe
- General and Emergency Radiology Department, “Antonio Cardarelli” Hospital, 80131 Naples, Italy
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Piero Trovato
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Naples, Italy
- Correspondence:
| | - Igino Simonetti
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Federica De Muzio
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy
| | - Carmen Cutolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84084 Salerno, Italy
| | - Pierpaolo Palumbo
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, 67100 L’Aquila, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
| | - Alessandra Borgheresi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy
- Department of Radiology, University Hospital “Azienda Ospedaliera Universitaria delle Marche”, Via Conca 71, 60126 Ancona, Italy
| | - Federica Flammia
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Diletta Cozzi
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Michela Gabelloni
- Department of Translational Research, Diagnostic and Interventional Radiology, University of Pisa, 56126 Pisa, Italy
| | - Francesca Grassi
- Division of Radiology, “Università degli Studi della Campania Luigi Vanvitelli”, 80138 Naples, Italy
| | - Vittorio Miele
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Antonio Barile
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, 67100 L’Aquila, Italy
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy
- Department of Radiology, University Hospital “Azienda Ospedaliera Universitaria delle Marche”, Via Conca 71, 60126 Ancona, Italy
| | - Nicoletta Gandolfo
- Diagnostic Imaging Department, Villa Scassi Hospital-ASL 3, Corso Scassi 1, 16149 Genoa, Italy
| |
Collapse
|
8
|
Schultz J, van den Hoogen IJ, Kuneman JH, de Graaf MA, Kamperidis V, Broersen A, Jukema JW, Sakellarios A, Nikopoulos S, Tsarapatsani K, Naka K, Michalis L, Fotiadis DI, Maaniitty T, Saraste A, Bax JJ, Knuuti J. Coronary computed tomography angiography-based endothelial wall shear stress in normal coronary arteries. Int J Cardiovasc Imaging 2023; 39:441-450. [PMID: 36255544 PMCID: PMC9870961 DOI: 10.1007/s10554-022-02739-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 09/27/2022] [Indexed: 01/27/2023]
Abstract
Endothelial wall shear stress (ESS) is a biomechanical force which plays a role in the formation and evolution of atherosclerotic lesions. The purpose of this study is to evaluate coronary computed tomography angiography (CCTA)-based ESS in coronary arteries without atherosclerosis, and to assess factors affecting ESS values. CCTA images from patients with suspected coronary artery disease were analyzed to identify coronary arteries without atherosclerosis. Minimal and maximal ESS values were calculated for 3-mm segments. Factors potentially affecting ESS values were examined, including sex, lumen diameter and distance from the ostium. Segments were categorized according to lumen diameter tertiles into small (< 2.6 mm), intermediate (2.6-3.2 mm) or large (≥ 3.2 mm) segments. A total of 349 normal vessels from 168 patients (mean age 59 ± 9 years, 39% men) were included. ESS was highest in the left anterior descending artery compared to the left circumflex artery and right coronary artery (minimal ESS 2.3 Pa vs. 1.9 Pa vs. 1.6 Pa, p < 0.001 and maximal ESS 3.7 Pa vs. 3.0 Pa vs. 2.5 Pa, p < 0.001). Men had lower ESS values than women, also after adjusting for lumen diameter (p < 0.001). ESS values were highest in small segments compared to intermediate or large segments (minimal ESS 3.8 Pa vs. 1.7 Pa vs. 1.2 Pa, p < 0.001 and maximal ESS 6.0 Pa vs. 2.6 Pa vs. 2.0 Pa, p < 0.001). A weak to strong correlation was found between ESS and distance from the ostium (ρ = 0.22-0.62, p < 0.001). CCTA-based ESS values increase rapidly and become widely scattered with decreasing lumen diameter. This needs to be taken into account when assessing the added value of ESS beyond lumen diameter in highly stenotic lesions.
Collapse
Affiliation(s)
- Jussi Schultz
- grid.410552.70000 0004 0628 215XTurku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, 20520 Turku, Finland
| | - Inge J. van den Hoogen
- grid.10419.3d0000000089452978Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jurrien H. Kuneman
- grid.10419.3d0000000089452978Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michiel A. de Graaf
- grid.10419.3d0000000089452978Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Vasileios Kamperidis
- Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Alexander Broersen
- grid.10419.3d0000000089452978Department of Radiology, Division of Image Processing, Leiden University Medical Center, Leiden, The Netherlands
| | - J. Wouter Jukema
- grid.10419.3d0000000089452978Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands ,grid.411737.7Netherlands Heart Institute, Utrecht, The Netherlands
| | - Antonis Sakellarios
- Department of Biomedical Research, FORTH-IMBB, Ioannina, Greece ,grid.9594.10000 0001 2108 7481Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece
| | - Sotirios Nikopoulos
- grid.9594.10000 0001 2108 7481Department of Cardiology, Medical School, University of Ioannina, Ioannina, Greece
| | - Konstantina Tsarapatsani
- Department of Biomedical Research, FORTH-IMBB, Ioannina, Greece ,grid.9594.10000 0001 2108 7481Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece
| | - Katerina Naka
- grid.9594.10000 0001 2108 7481Department of Cardiology, Medical School, University of Ioannina, Ioannina, Greece
| | - Lampros Michalis
- grid.9594.10000 0001 2108 7481Department of Cardiology, Medical School, University of Ioannina, Ioannina, Greece
| | - Dimitrios I. Fotiadis
- Department of Biomedical Research, FORTH-IMBB, Ioannina, Greece ,grid.9594.10000 0001 2108 7481Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece
| | - Teemu Maaniitty
- grid.410552.70000 0004 0628 215XTurku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, 20520 Turku, Finland
| | - Antti Saraste
- grid.410552.70000 0004 0628 215XTurku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, 20520 Turku, Finland ,grid.410552.70000 0004 0628 215XHeart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Jeroen J. Bax
- grid.10419.3d0000000089452978Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands ,grid.410552.70000 0004 0628 215XHeart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Juhani Knuuti
- grid.410552.70000 0004 0628 215XTurku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, 20520 Turku, Finland ,grid.10419.3d0000000089452978Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| |
Collapse
|
9
|
van den Hoogen IJ, Schultz J, Kuneman JH, de Graaf MA, Kamperidis V, Broersen A, Jukema JW, Sakellarios A, Nikopoulos S, Kyriakidis S, Naka KK, Michalis L, Fotiadis DI, Maaniitty T, Saraste A, Bax JJ, Knuuti J. Detailed behaviour of endothelial wall shear stress across coronary lesions from non-invasive imaging with coronary computed tomography angiography. Eur Heart J Cardiovasc Imaging 2022; 23:1708-1716. [PMID: 35616068 PMCID: PMC10017098 DOI: 10.1093/ehjci/jeac095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 03/15/2022] [Accepted: 05/05/2022] [Indexed: 11/13/2022] Open
Abstract
AIMS Evolving evidence suggests that endothelial wall shear stress (ESS) plays a crucial role in the rupture and progression of coronary plaques by triggering biological signalling pathways. We aimed to investigate the patterns of ESS across coronary lesions from non-invasive imaging with coronary computed tomography angiography (CCTA), and to define plaque-associated ESS values in patients with coronary artery disease (CAD). METHODS AND RESULTS Symptomatic patients with CAD who underwent a clinically indicated CCTA scan were identified. Separate core laboratories performed blinded analysis of CCTA for anatomical and ESS features of coronary atherosclerosis. ESS was assessed using dedicated software, providing minimal and maximal ESS values for each 3 mm segment. Each coronary lesion was divided into upstream, start, minimal luminal area (MLA), end and downstream segments. Also, ESS ratios were calculated using the upstream segment as a reference. From 122 patients (mean age 64 ± 7 years, 57% men), a total of 237 lesions were analyzed. Minimal and maximal ESS values varied across the lesions with the highest values at the MLA segment [minimal ESS 3.97 Pa (IQR 1.93-8.92 Pa) and maximal ESS 5.64 Pa (IQR 3.13-11.21 Pa), respectively]. Furthermore, minimal and maximal ESS values were positively associated with stenosis severity (P < 0.001), percent atheroma volume (P < 0.001), and lesion length (P ≤ 0.023) at the MLA segment. Using ESS ratios, similar associations were observed for stenosis severity and lesion length. CONCLUSIONS Detailed behaviour of ESS across coronary lesions can be derived from routine non-invasive CCTA imaging. This may further improve risk stratification.
Collapse
Affiliation(s)
| | - Jussi Schultz
- Turku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku 20520, Finland
| | - Jurrien H Kuneman
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michiel A de Graaf
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Vasileios Kamperidis
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Alexander Broersen
- Department of Radiology, Division of Image Processing, Leiden University Medical Center, Leiden, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Antonis Sakellarios
- Department of Biomedical Research, FORTH-IMBB, Ioannina, Greece.,Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece
| | - Sotirios Nikopoulos
- Department of Cardiology, Medical School, University of Ioannina, Ioannina, Greece
| | - Savvas Kyriakidis
- Department of Biomedical Research, FORTH-IMBB, Ioannina, Greece.,Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece
| | - Katerina K Naka
- Department of Cardiology, Medical School, University of Ioannina, Ioannina, Greece
| | - Lampros Michalis
- Department of Cardiology, Medical School, University of Ioannina, Ioannina, Greece
| | - Dimitrios I Fotiadis
- Department of Biomedical Research, FORTH-IMBB, Ioannina, Greece.,Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece
| | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku 20520, Finland
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku 20520, Finland.,Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - 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.,Turku PET Centre, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku 20520, Finland
| |
Collapse
|
10
|
Lv L, Li H, Wu Z, Zeng W, Hua P, Yang S. An artificial intelligence-based platform for automatically estimating time-averaged wall shear stress in the ascending aorta. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2022; 3:525-534. [PMID: 36710907 PMCID: PMC9779925 DOI: 10.1093/ehjdh/ztac058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 11/07/2022]
Abstract
Aims Aortopathies are a series of disorders requiring multiple indicators to assess risk. Time-averaged wall shear stress (TAWSS) is currently considered as the primary indicator of aortopathies progression, which can only be calculated by Computational Fluid Dynamics (CFD). However, CFD's complexity and high computational cost, greatly limit its application. The study aimed to construct a deep learning platform which could accurately estimate TAWSS in ascending aorta. Methods and results A total of 154 patients who had thoracic computed tomography angiography were included and randomly divided into two parts: training set (90%, n = 139) and testing set (10%, n = 15). TAWSS were calculated via CFD. The artificial intelligence (AI)-based model was trained and assessed using the dice coefficient (DC), normalized mean absolute error (NMAE), and root mean square error (RMSE). Our AI platform brought into correspondence with the manual segmentation (DC = 0.86) and the CFD findings (NMAE, 7.8773% ± 4.7144%; RMSE, 0.0098 ± 0.0097), while saving 12000-fold computational cost. Conclusion The high-efficiency and robust AI platform can automatically estimate value and distribution of TAWSS in ascending aorta, which may be suitable for clinical applications and provide potential ideas for CFD-based problem solving.
Collapse
Affiliation(s)
| | | | - Zonglv Wu
- Department of Cardio-Vascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yan Jiang West Road, 510120 Guangzhou, China,Department of Cardiac Surgery, Guangzhou Women and Children's Medical Center, No. 9 Jinsui Road, 510623 Guangzhou, China
| | - Weike Zeng
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, 510120 Guangzhou, China
| | - Ping Hua
- Corresponding author. Tel: +86 13 609716875, Fax: +86 20 81332199, (P.H.); Tel: +86 13926168990, Fax: +86 20 81332199, (S.R.)
| | - Songran Yang
- Corresponding author. Tel: +86 13 609716875, Fax: +86 20 81332199, (P.H.); Tel: +86 13926168990, Fax: +86 20 81332199, (S.R.)
| |
Collapse
|
11
|
Tomizawa N, Nozaki Y, Fujimoto S, Takahashi D, Kudo A, Kamo Y, Aoshima C, Kawaguchi Y, Takamura K, Hiki M, Dohi T, Okazaki S, Kumamaru KK, Minamino T, Aoki S. Coronary flow disturbance assessed by vorticity as a cause of functionally significant stenosis. Eur Radiol 2022; 32:6859-6867. [PMID: 35778509 DOI: 10.1007/s00330-022-08974-2] [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: 01/27/2022] [Revised: 06/05/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Vorticity calculated using computational fluid dynamics (CFD) could assess the flow disturbance generated by coronary stenosis. The purpose of this study was to investigate whether vorticity would be an underlying cause of functionally significant stenosis assessed by invasive fractional flow reserve (FFR). METHODS This retrospective study included 113 patients who underwent coronary CT angiography showing intermediate stenosis and subsequent invasive FFR between December 2015 and March 2020. Vorticity at the stenosis site was calculated using a mesh-free CFD method. We also evaluated the minimum lumen area (MLA) and diameter stenosis (DS) of the lesion. Invasive FFR of ≤ 0.80 was considered functionally significant. Data were compared using Student's t-test and logistic regression analysis was performed. RESULTS Of the evaluated 144 vessels, 53 vessels (37%) showed FFR ≤ 0.80. Vorticity of significant stenosis was significantly higher than non-significant stenosis (569 ± 78 vs. 328 ± 34 s-1, p < 0.001). A significant negative relationship was present between vorticity and invasive FFR (R2 = 0.31, p < 0.001). Multivariate logistic regression analysis including MLA and DS showed that vorticity (per 100 s-1, odds ratio: 1.36, 95% confidence interval: 1.21-1.57, p < 0.001) was a statistically significant factor to detect functional significance. The area under the receiver operating characteristic curve statistically significantly increased when vorticity was combined with DS and MLA (0.76 vs. 0.87, p = 0.001). CONCLUSIONS Vorticity had a statistically significant negative relationship with invasive FFR independent of geometric stenosis. KEY POINTS • Flow disturbance caused by coronary stenosis could be evaluated by calculating vorticity which is defined as the norm of the rotation of the velocity vector. • Vorticity was statistically significantly higher in stenosis with functional significance than stenosis without. • Vorticity has an additive value to detect functionally significant stenosis over geometrical stenosis.
Collapse
Affiliation(s)
- Nobuo Tomizawa
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Yui Nozaki
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shinichiro Fujimoto
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Daigo Takahashi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ayako Kudo
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Kamo
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Chihiro Aoshima
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuko Kawaguchi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kazuhisa Takamura
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Makoto Hiki
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tomotaka Dohi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shinya Okazaki
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kanako K Kumamaru
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Tohru Minamino
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| |
Collapse
|
12
|
Kusmirek JE, Wieben O. Coronary Endothelial Wall Shear Stress: Another Piece of the Puzzle? Radiology 2021; 300:557-558. [PMID: 34184938 DOI: 10.1148/radiol.2021211116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Joanna E Kusmirek
- From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792 (J.E.K.); Departments of Medical Physics and Radiology, Wisconsin Institutes for Medical Research, Madison, Wis (O.W.)
| | - Oliver Wieben
- From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792 (J.E.K.); Departments of Medical Physics and Radiology, Wisconsin Institutes for Medical Research, Madison, Wis (O.W.)
| |
Collapse
|