1
|
Zeng M, Chu M, Xu L, Yi B, Yu W, Sun Q, Zhang Y, Liu Y, Zhao C, Weng Z, He L, Qin Y, Xu Y, Liu H, Wang N, Feng X, Koniaeva E, Mohammad D, Hu S, Tu S, Yu B, Jia H. Value of Combined Optical Coherence Tomography and Optical Flow Ratio Measurements After Percutaneous Coronary Intervention. Can J Cardiol 2024:S0828-282X(24)00938-3. [PMID: 39245340 DOI: 10.1016/j.cjca.2024.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 08/29/2024] [Accepted: 09/03/2024] [Indexed: 09/10/2024] Open
Abstract
BACKGROUND Optical flow ratio (OFR) is a novel computational fractional flow reserve derived from optical coherence tomography (OCT). However, the impact of combining post-stenting morphology (OCT) and physiology (OFR) remains largely unknown. METHODS OCT and OFR were analysed at an independent core laboratory. Target lesion failure (TLF) was defined as the composite of cardiac death, target lesion myocardial infarction, and target lesion revascularisation. Suboptimal stent deployment was identified with at least 1 TLF-related OCT or OFR characteristic. RESULTS A total of 448 patients with acute coronary syndrome (459 vessels) were assessed. Stent expansion < 80%, minimal stent area < 4.5 mm2, stent edge lipid-rich plaque and OFR < 0.90 were independent predictors of TLF (all P < 0.001). Patients with OCT-suboptimal (adjusted hazard ratio [aHR] 7.88, 95% CI 2.73-22.72,-P < 0.001) or OFR-suboptimal (aHR 5.78, 95% CI 2.54-13.14; P < 0.001) stent deployment showed significantly higher risk of TLF compared with those with optimal stent deployment, with a significant interaction (Pinteraction < 0.001). OCT and OFR both-suboptimal stent deployment was confirmed as an independent predictor of TLF (aHR 9.39, 95% CI 4.25-20.76; P < 0.001). CONCLUSIONS Combined OCT and OFR conferred an optimal reclassification of stent deployment, which may aid in decision making regarding a tailored PCI strategy for optimal stent deployment.
Collapse
Affiliation(s)
- Ming Zeng
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Miao Chu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Liangxiao Xu
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Boling Yi
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Wei Yu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Qianhui Sun
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Yixuan Zhang
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Yue Liu
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Chen Zhao
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Ziqian Weng
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Luping He
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Yuhan Qin
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Yishuo Xu
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Huimin Liu
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Ning Wang
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Xue Feng
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Ekaterina Koniaeva
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Diler Mohammad
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Sining Hu
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - Bo Yu
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China.
| | - Haibo Jia
- Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, and Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China.
| |
Collapse
|
2
|
Fezzi S, Ding D, Mahfoud F, Huang J, Lansky AJ, Tu S, Wijns W. Illusion of revascularization: does anyone achieve optimal revascularization during percutaneous coronary intervention? Nat Rev Cardiol 2024; 21:652-662. [PMID: 38710772 DOI: 10.1038/s41569-024-01014-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/12/2024] [Indexed: 05/08/2024]
Abstract
This Perspective article is a form of 'pastiche', inspired by the 1993 review by Lincoff and Topol entitled 'Illusion of reperfusion', and explores how their concept continues to apply to percutaneous revascularization in patients with coronary artery disease and ischaemia. Just as Lincoff and Topol argued that reperfusion of acute myocardial infarction was facing unresolved obstacles that hampered clinical success in 1993, we propose that challenging issues are similarly jeopardizing the potential benefits of stent-based angioplasty today. By analysing the appropriateness and efficacy of percutaneous coronary intervention (PCI), we emphasize the limitations of relying solely on visual angiographic guidance, which frequently leads to inappropriate stenting and overtreatment in up to one-third of patients and the associated increased risk of periprocedural myocardial infarction. The lack of optimal revascularization observed in half of patients undergoing PCI confers risks such as suboptimal physiology after PCI, residual angina and long-term stent-related events, leaving an estimated 76% of patients with an 'illusion of revascularization'. These outcomes highlight the need to refine our diagnostic tools by integrating physiological assessments with targeted intracoronary imaging and emerging strategies, such as co-registration systems and angiography-based computational methods enhanced by artificial intelligence, to achieve optimal revascularization outcomes.
Collapse
Affiliation(s)
- Simone Fezzi
- The Lambe Institute for Translational Medicine, the Smart Sensors Laboratory and Curam, University of Galway, Galway, Ireland
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Daixin Ding
- The Lambe Institute for Translational Medicine, the Smart Sensors Laboratory and Curam, University of Galway, Galway, Ireland
- Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Felix Mahfoud
- Saarland University Hospital, Internal Medicine III, Cardiology, Angiology, Intensive Care Medicine, Homburg/Saar, Germany
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- University Heart Center Basel, Department of Cardiology, University Basel, Basel, Switzerland
| | - Jiayue Huang
- The Lambe Institute for Translational Medicine, the Smart Sensors Laboratory and Curam, University of Galway, Galway, Ireland
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Alexandra J Lansky
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Shengxian Tu
- Department of Cardiology, Ren Ji Hospital, School of Medicine, and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - William Wijns
- The Lambe Institute for Translational Medicine, the Smart Sensors Laboratory and Curam, University of Galway, Galway, Ireland.
| |
Collapse
|
3
|
Hu T, Qiu Q, Xie N, Sun M, Jia Q, Huang M. Prognostic value of optical flow ratio for cardiovascular outcomes in patients after percutaneous coronary stent implantation. Front Cardiovasc Med 2023; 10:1247053. [PMID: 38155983 PMCID: PMC10753062 DOI: 10.3389/fcvm.2023.1247053] [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: 06/25/2023] [Accepted: 11/20/2023] [Indexed: 12/30/2023] Open
Abstract
Background The relationship between the optical flow ratio (OFR) and clinical outcomes in patients with coronary artery disease (CAD) after percutaneous coronary stent implantation (PCI) remains unknown. Objective To examine the correlation between post-PCI OFR and clinical outcomes in patients with CAD following PCI. Methods Patients who underwent optical coherence tomography (OCT) guided PCI at Guangdong Provincial People's Hospital were retrospectively and continuously enrolled. Clinical data, post-PCI OCT characteristics, and OFR measurements were collected and analyzed to identify predictors of target vessel failure (TVF) after PCI. Results Among 354 enrolled patients, 26 suffered TVF during a median follow-up of 484 (IQR: 400-774) days. Post-PCI OFR was significantly lower in the TVF group than in the non-TVF group (0.89 vs. 0.93; P = 0.001). In multivariable Cox regression analysis, post-PCI OFR (HR per 0.1 increase: 0.60; 95% CI: 0.41-0.89; P = 0.011), large stent edge dissection (HR: 3.85; 95% CI: 1.51-9.84; P = 0.005) and thin-cap fibroatheroma (TCFA) (HR: 2.95; 95% CI: 1.19-7.35; P = 0.020) in the non-stented segment were independently associated with TVF. In addition, the inclusion of post-PCI OFR to baseline characteristics and post-PCI OCT findings improved the predictive power of the model to distinguish subsequent TVF after PCI (0.838 vs. 0.796; P = 0.028). Conclusion The post-PCI OFR serves as an independent determinant of risk for TVF in individuals with CAD after PCI. The inclusion of post-PCI OFR assessments, alongside baseline characteristics and post-PCI OCT findings, substantially enhances the capacity to differentiate the subsequent manifestation of TVF in CAD patients following PCI.
Collapse
Affiliation(s)
- Tianyu Hu
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qinghua Qiu
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Nianjin Xie
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Mingming Sun
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qianjun Jia
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Meiping Huang
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| |
Collapse
|
4
|
Barbato E, Gallinoro E, Abdel-Wahab M, Andreini D, Carrié D, Di Mario C, Dudek D, Escaned J, Fajadet J, Guagliumi G, Hill J, McEntegart M, Mashayekhi K, Mezilis N, Onuma Y, Reczuch K, Shlofmitz R, Stefanini G, Tarantini G, Toth GG, Vaquerizo B, Wijns W, Ribichini FL. Management strategies for heavily calcified coronary stenoses: an EAPCI clinical consensus statement in collaboration with the EURO4C-PCR group. Eur Heart J 2023; 44:4340-4356. [PMID: 37208199 DOI: 10.1093/eurheartj/ehad342] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 05/21/2023] Open
Abstract
Since the publication of the 2015 EAPCI consensus on rotational atherectomy, the number of percutaneous coronary interventions (PCI) performed in patients with severely calcified coronary artery disease has grown substantially. This has been prompted on one side by the clinical demand for the continuous increase in life expectancy, the sustained expansion of the primary PCI networks worldwide, and the routine performance of revascularization procedures in elderly patients; on the other side, the availability of new and dedicated technologies such as orbital atherectomy and intravascular lithotripsy, as well as the optimization of the rotational atherectomy system, has increased operators' confidence in attempting more challenging PCI. This current EAPCI clinical consensus statement prepared in collaboration with the EURO4C-PCR group describes the comprehensive management of patients with heavily calcified coronary stenoses, starting with how to use non-invasive and invasive imaging to assess calcium burden and inform procedural planning. Objective and practical guidance is provided on the selection of the optimal interventional tool and technique based on the specific calcium morphology and anatomic location. Finally, the specific clinical implications of treating these patients are considered, including the prevention and management of complications and the importance of adequate training and education.
Collapse
Affiliation(s)
- Emanuele Barbato
- Department of Clinical and Molecular Medicine, Sapienza University, Via di Grottarossa n. 1035, Rome, 00189, Italy
| | - Emanuele Gallinoro
- Division of University Cardiology, IRCCS Galeazzi-Sant'Ambrogio Hospital, University of Milan, Milan, Italy
| | | | - Daniele Andreini
- Division of University Cardiology, IRCCS Galeazzi-Sant'Ambrogio Hospital, University of Milan, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Didier Carrié
- Service de Cardiologie B, CHU Rangueil, Université Paul Sabatier, Toulouse, France
| | - Carlo Di Mario
- Interventional Structural Cardiology Division, Department of Clinical & Experimental Medicine, Careggi University Hospital, Florence, Italy
| | - Dariusz Dudek
- Institute of Cardiology, Jagiellonian University, Collegium Medicum, Krakow, Poland
| | - Javier Escaned
- Hospital Clínico San Carlos IDISCC, Complutense University of Madrid, Madrid, Spain
| | | | | | - Jonathan Hill
- Department of Cardiology, Royal Brompton Hospital, London, UK
| | - Margaret McEntegart
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, UK
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Kambis Mashayekhi
- Department of Internal Medicine and Cardiology, MediClin Heart Institute Lahr/Baden, Lahr & Division of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | | | - Yoshinobu Onuma
- Department of Cardiology, Cardiovascular Center, Fujita Health University Hospital, Toyoake, Japan
- Department of Cardiology, National University of Ireland, Galway, Ireland
| | - Krzyszstof Reczuch
- Institute of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland
| | | | - Giulio Stefanini
- Humanitas Clinical and Research Hospital IRCCS & Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Giuseppe Tarantini
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Gabor G Toth
- University Heart Center Graz, Medical University of Graz, Graz, Austria
| | - Beatriz Vaquerizo
- Unidad de Cardiología Intervencionista, Hospital del Mar, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - William Wijns
- The Lambe Institute for Translational Medicine, The Smart Sensors Laboratory, Corrib Core Laboratory and Curam, National University of Ireland, Galway, Ireland
| | - Flavio L Ribichini
- Cardiovascular Section of the Department of Medicine, University of Verona, Verona, Italy
| |
Collapse
|
5
|
Koo BK, Lee JM, Hwang D, Park S, Shiono Y, Yonetsu T, Lee SH, Kawase Y, Ahn JM, Matsuo H, Shin ES, Hu X, Ding D, Fezzi S, Tu S, Low AF, Kubo T, Nam CW, Yong AS, Harding SA, Xu B, Hur SH, Choo GH, Tan HC, Mullasari A, Hsieh IC, Kakuta T, Akasaka T, Wang J, Tahk SJ, Fearon WF, Escaned J, Park SJ. Practical Application of Coronary Physiologic Assessment: Asia-Pacific Expert Consensus Document: Part 1. JACC. ASIA 2023; 3:689-706. [PMID: 38095005 PMCID: PMC10715899 DOI: 10.1016/j.jacasi.2023.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/13/2023] [Accepted: 07/08/2023] [Indexed: 12/30/2023]
Abstract
Coronary physiologic assessment is performed to measure coronary pressure, flow, and resistance or their surrogates to enable the selection of appropriate management strategy and its optimization for patients with coronary artery disease. The value of physiologic assessment is supported by a large body of evidence that has led to major recommendations in clinical practice guidelines. This expert consensus document aims to convey practical and balanced recommendations and future perspectives for coronary physiologic assessment for physicians and patients in the Asia-Pacific region based on updated information in the field that including both wire- and image-based physiologic assessment. This is Part 1 of the whole consensus document, which describes the general concept of coronary physiology, as well as practical information on the clinical application of physiologic indices and novel image-based physiologic assessment.
Collapse
Affiliation(s)
- Bon-Kwon Koo
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea
| | - Joo Myung Lee
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Doyeon Hwang
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea
| | - Sungjoon Park
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea
| | - Yasutsugu Shiono
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan
| | - Taishi Yonetsu
- Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seung Hun Lee
- Department of Internal Medicine, Chonnam National University Hospital, Gwangju, Korea
| | - Yoshiaki Kawase
- Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan
| | - Jung-Min Ahn
- Division of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hitoshi Matsuo
- Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan
| | - Eun-Seok Shin
- Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Xinyang Hu
- Department of Cardiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Daixin Ding
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland
| | - Simone Fezzi
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Adrian F. Low
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; National University Heart Centre, National University Health System, Singapore
| | - Takashi Kubo
- Department of Cardiology, Tokyo Medical University, Hachioji Medical Center, Tokyo, Japan
| | - Chang-Wook Nam
- Department of Internal Medicine and Cardiovascular Research Institute, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Andy S.C. Yong
- Department of Cardiology, Concord Hospital, University of Sydney, Sydney, Australia
| | - Scott A. Harding
- Department of Cardiology, Wellington Hospital, Wellington, New Zealand
| | - Bo Xu
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Seung-Ho Hur
- Department of Internal Medicine and Cardiovascular Research Institute, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Gim Hooi Choo
- Department of Cardiology, Cardiac Vascular Sentral KL (CVSKL), Kuala Lumpur, Malaysia
| | - Huay Cheem Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; National University Heart Centre, National University Health System, Singapore
| | - Ajit Mullasari
- Department of Cardiology, Madras Medical Mission, Chennai, India
| | - I-Chang Hsieh
- Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou and Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Tsunekazu Kakuta
- Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Takashi Akasaka
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan
| | - Jian'an Wang
- Department of Cardiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Seung-Jea Tahk
- Department of Cardiology, Ajou University Medical Center, Suwon, Korea
| | - William F. Fearon
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA
| | - Javier Escaned
- Hospital Clinico San Carlos IDISSC, Complutense University of Madrid, Madrid, Spain
| | - Seung-Jung Park
- Division of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| |
Collapse
|
6
|
Hamaya R, Goto S, Hwang D, Zhang J, Yang S, Lee JM, Hoshino M, Nam CW, Shin ES, Doh JH, Chen SL, Toth GG, Piroth Z, Hakeem A, Uretsky BF, Hokama Y, Tanaka N, Lim HS, Ito T, Matsuo A, Azzalini L, Leesar MA, Collet C, Koo BK, De Bruyne B, Kakuta T. Machine-learning-based prediction of fractional flow reserve after percutaneous coronary intervention. Atherosclerosis 2023; 383:117310. [PMID: 37797507 DOI: 10.1016/j.atherosclerosis.2023.117310] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND AND AIMS Post-percutaneous coronary intervention (PCI) fractional flow reserve (FFR) reflects residual atherosclerotic burden and is associated with future events. How much post-PCI FFR can be predicted based on baseline basic information and the clinical relevance have not been investigated. METHODS We compiled a multicenter registry of patients undergoing pre- and post-PCI FFR. Machine-learning (ML) algorithms were designed to predict post-PCI FFR levels from baseline demographics, quantitative coronary angiography, and pre-PCI FFR. FFR deviation was defined as actual minus ML-predicted post-PCI FFR levels, and its association with incident target vessel failure (TVF) was evaluated. RESULTS Median (IQR) pre- and post-PCI FFR values were 0.71 (0.61, 0.77) and 0.88 (0.84, 0.93), respectively. The Spearman correlation coefficient of the actual and predicted post-PCI FFR was 0.54 (95% CI: 0.52, 0.57). FFR deviation was non-linearly associated with incident TVF (HR [95% CI] with Q3 as reference: 1.65 [1.14, 2.39] in Q1, 1.42 [0.98, 2.08] in Q2, 0.81 [0.53, 1.26] in Q4, and 1.04 [0.69, 1.56] in Q5). A model with polynomial function of continuous FFR deviation indicated increasing TVF risk for FFR deviation ≤0 but plateau risk with FFR deviation >0. CONCLUSIONS An ML-based algorithm using baseline data moderately predicted post-PCI FFR. The deviation of post-PCI FFR from the predicted value was associated with higher vessel-oriented event.
Collapse
Affiliation(s)
- Rikuta Hamaya
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Shinichi Goto
- One Brave Idea and Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Doyeon Hwang
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Jinlong Zhang
- Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Seokhun Yang
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Joo Myung Lee
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Division of Cardiology, Department of Medicine, Heart Vascular Stroke Institute, Seoul, Republic of Korea
| | - Masahiro Hoshino
- Tsuchiura Kyodo General Hospital, Department of Cardiology, Tsuchiura City, Japan
| | - Chang-Wook Nam
- Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Eun-Seok Shin
- Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, South Korea
| | - Joon-Hyung Doh
- Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, South Korea
| | - Shao-Liang Chen
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Gabor G Toth
- University Heart Centre Graz, Medical University, Graz, Austria
| | - Zsolt Piroth
- Gottsegen Hungarian Institute of Cardiology, Budapest, Hungary
| | - Abdul Hakeem
- Division of Cardiovascular Diseases & Hypertension, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Barry F Uretsky
- Central Arkansas VA Health System/University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Yohei Hokama
- Department of Cardiology, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan
| | - Nobuhiro Tanaka
- Department of Cardiology, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan
| | - Hong-Seok Lim
- Department of Cardiology, Ajou University School of Medicine, Suwon, South Korea
| | - Tsuyoshi Ito
- Department of Cardiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Akiko Matsuo
- Department of Cardiology, Kyoto Second Red Cross Hospital, Kyoto, Japan
| | - Lorenzo Azzalini
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Massoud A Leesar
- Division of Cardiovascular Diseases, University of Cincinnati, Cincinnati, OH, USA
| | | | - Bon-Kwon Koo
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Bernard De Bruyne
- Cardiovascular Center Aalst, Aalst, Belgium; Department of Cardiology, University of Lausanne, Switzerland
| | - Tsunekazu Kakuta
- Tsuchiura Kyodo General Hospital, Department of Cardiology, Tsuchiura City, Japan.
| |
Collapse
|
7
|
Xu T, Yu W, Ding D, Li C, Huang J, Kubo T, Wijns W, Tu S. Diagnostic Performance of Intracoronary Optical Coherence Tomography-Modulated Quantitative Flow Ratio for Assessing Coronary Stenosis. JOURNAL OF THE SOCIETY FOR CARDIOVASCULAR ANGIOGRAPHY & INTERVENTIONS 2023; 2:101043. [PMID: 39132390 PMCID: PMC11308763 DOI: 10.1016/j.jscai.2023.101043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/26/2023] [Accepted: 05/08/2023] [Indexed: 08/13/2024]
Abstract
Background A novel method for fast computation of Murray law-based quantitative flow ratio (μQFR) from coregistered angiography and optical coherence tomography (OCT) was recently developed. This study aimed to evaluate the diagnostic performance of this OCT-modulated μQFR (OCT-μFR). Methods Patients who underwent coronary angiography, OCT, and fractional flow reserve (FFR) were retrospectively enrolled. μQFR was computed from a single angiographic projection. Subsequently, OCT image pullback was coregistered with the angiogram, and OCT-μFR was calculated based on the coregistered data. The same cut-off value of 0.80 was used for OCT-μFR, μQFR, and FFR to define ischemia. Results A paired comparison of OCT-μFR and μQFR was performed in 269 vessels from 218 patients. The mean FFR was 0.81 ± 0.11, and 45.0% of vessels had an FFR ≤0.80. OCT-μFR showed a better correlation with FFR than μQFR (r = 0.83 vs 0.76, P = .018) and numerically higher diagnostic performance (area under the curve [AUC] = 0.95 vs 0.92, P = .057). Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio for OCT-μFR to identify ischemia-causing stenosis were 89.3%, 93.2%, 91.5%, 91.4%, 13.2, and 0.1, respectively. In addition, OCT-μFR showed significantly higher diagnostic performance compared with μQFR in vessels with suboptimal angiographic image quality (AUC = 0.93 vs 0.87, P = .028) and tandem lesions (AUC = 0.94 vs 0.87, P = .017). Conclusions Computation of OCT-μFR was feasible and accurately identified physiologically significant coronary stenosis with simultaneous morphological assessment. In vessels with suboptimal angiographic image quality or tandem lesions, OCT-μFR had a higher diagnostic performance than angiography-based μQFR.
Collapse
Affiliation(s)
- Tianxiao Xu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Yu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Daixin Ding
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- The Lambe Institute for Translational Medicine, The Smart Sensors Laboratory and Curam, National University of Ireland, Galway, Ireland
| | - Chunming Li
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Jiayue Huang
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- The Lambe Institute for Translational Medicine, The Smart Sensors Laboratory and Curam, National University of Ireland, Galway, Ireland
| | - Takashi Kubo
- Hachioji Medical Center, Tokyo Medical University, Tokyo, Japan
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan
| | - William Wijns
- The Lambe Institute for Translational Medicine, The Smart Sensors Laboratory and Curam, National University of Ireland, Galway, Ireland
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
8
|
Hu F, Ding D, Westra J, Li Y, Yu W, Wang Z, Kubo T, Chico JLG, Chen Y, Wijns W, Tu S. Diagnostic accuracy of optical flow ratio: an individual patient-data meta-analysis. EUROINTERVENTION 2023; 19:e145-e154. [PMID: 36950895 PMCID: PMC10242661 DOI: 10.4244/eij-d-22-01098] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 01/18/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND Optical flow ratio (OFR) is a novel method for the fast computation of fractional flow reserve (FFR) from optical coherence tomography. AIMS We aimed to evaluate the diagnostic accuracy of OFR in assessing intermediate coronary stenosis using wire-based FFR as the reference. METHODS We performed an individual patient-level meta-analysis of all available studies with paired OFR and FFR assessments. The primary outcome was vessel-level diagnostic concordance of the OFR and FFR, using a cut-off of ≤0.80 to define ischaemia and ≤0.90 to define suboptimal post-percutaneous coronary intervention (PCI) physiology. This meta-analysis was registered in PROSPERO (CRD42021287726). RESULTS Five studies were finally included, providing 574 patients and 626 vessels (404 pre-PCI and 222 post-PCI) with paired OFR and FFR from 9 international centres. Vessel-level diagnostic concordance of the OFR and FFR was 91% (95% confidence interval [CI]: 88%-94%), 87% (95% CI: 82%-91%), and 90% (95% CI: 87%-92%) in pre-PCI, post-PCI, and overall, respectively. The overall sensitivity, specificity, and positive and negative predictive values were 84% (95% CI: 79%-88%), 94% (95% CI: 92%-96%), 90% (95% CI: 86%-93%), and 89% (95% CI: 86%-92%), respectively. Multivariate logistic regression indicated that a low pullback speed (odds ratio [OR] 7.02, 95% CI: 1.68-29.43; p=0.008) was associated with a higher risk of obtaining OFR values at least 0.10 higher than FFR. Increasing the minimal lumen area was associated with a lower risk of obtaining an OFR at least 0.10 lower than FFR (OR 0.39, 95% CI: 0.18-0.82; p=0.013). CONCLUSIONS This individual patient data meta-analysis demonstrated a high diagnostic accuracy of OFR. OFR has the potential to provide an improved integration of intracoronary imaging and physiological assessment for the accurate evaluation of coronary artery disease.
Collapse
Affiliation(s)
- Fukang Hu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Daixin Ding
- The Lambe Institute for Translational Research, Smart Sensors Laboratory and CURAM, University of Galway, Galway, Ireland
| | - Jelmer Westra
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Yingguang Li
- Kunshan Industrial Technology Research Institute, Suzhou, People's Republic of China
| | - Wei Yu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Zhiqing Wang
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian, China
| | - Takashi Kubo
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan
| | | | - Yundai Chen
- Department of Cardiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - William Wijns
- The Lambe Institute for Translational Research, Smart Sensors Laboratory and CURAM, University of Galway, Galway, Ireland
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| |
Collapse
|
9
|
Ding D, Tu S, Li Y, Li C, Yu W, Liu X, Leone AM, Aurigemma C, Romagnoli E, Vergallo R, Trani C, Wijns W, Burzotta F. Quantitative flow ratio modulated by intracoronary optical coherence tomography for predicting physiological efficacy of percutaneous coronary intervention. Catheter Cardiovasc Interv 2023. [PMID: 37172214 DOI: 10.1002/ccd.30681] [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: 01/13/2023] [Revised: 03/07/2023] [Accepted: 04/30/2023] [Indexed: 05/14/2023]
Abstract
BACKGROUND The combination of coronary imaging assessment and blood flow perturbation estimation has the potential to improve percutaneous coronary intervention (PCI) guidance. OBJECTIVES We aimed to evaluate a novel method for fast computation of Murray law-based quantitative flow ratio (μQFR) from coregistered optical coherence tomography (OCT) and angiography (OCT-modulated μQFR, OCT-μQFR) in predicting physiological efficacy of PCI. METHODS Patients treated by OCT-guided PCI in the OCT-arm of the Fractional Flow Reserve versus Optical Coherence Tomography to Guide RevasculariZAtion of Intermediate Coronary Stenoses trial (FORZA, NCT01824030) were included. Based on angiography and OCT before PCI, simulated residual OCT-μQFR was computed by assuming full stent expansion to the intended-to-treat segment. Plaque composition was automatically characterized using a validated artificial intelligence algorithm. Actual post-PCI OCT-μQFR pullback was computed based on coregistration of angiography and OCT acquired immediately after PCI. Suboptimal functional stenting result was defined as OCT-μQFR ≤ 0.90. RESULTS Paired simulated residual OCT-μQFR and actual post-PCI OCT-μQFR were obtained in 76 vessels from 74 patients. Simulated residual OCT-μQFR showed good correlation (r = 0.80, p < 0.001), agreement (mean difference = -0.02 ± 0.02, p < 0.001), and diagnostic concordance (79%, 95% confidence interval: 70%-88%) with actual post-PCI OCT-μQFR. Actual post-PCI in-stent OCT-μQFR had a median value of 0.02 and was associated with left anterior descending artery lesion location (β = 0.38, p < 0.001), higher baseline total plaque burden (β = 0.25, p = 0.031), and fibrous plaque volume (β = 0.24, p = 0.026). CONCLUSIONS This study based on patients enrolled in a prospective OCT-guidance PCI trial shows that simulated residual OCT-μQFR had good correlation, agreement, and diagnostic concordance with actual post-PCI OCT-μQFR. In OCT-guided procedures, OCT-μQFR in-stent pressure drop was low and was significantly predicted by pre-PCI vessel/plaque characteristics.
Collapse
Affiliation(s)
- Daixin Ding
- Smart Sensors Laboratory and CÚRAM, Lambe Institute for Translational Research, University of Galway, Galway, Ireland
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yingguang Li
- International Smart Medical Devices Innovation Center, Kunshan Industrial Technology Research Institute, Suzhou, China
| | - Chunming Li
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Yu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Xun Liu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Antonio Maria Leone
- Institute of Cardiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Institute of Cardiology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Cristina Aurigemma
- Institute of Cardiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Enrico Romagnoli
- Institute of Cardiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Rocco Vergallo
- Institute of Cardiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Carlo Trani
- Institute of Cardiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Institute of Cardiology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - William Wijns
- Smart Sensors Laboratory and CÚRAM, Lambe Institute for Translational Research, University of Galway, Galway, Ireland
| | - Francesco Burzotta
- Institute of Cardiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Institute of Cardiology, Università Cattolica del Sacro Cuore, Rome, Italy
| |
Collapse
|
10
|
Andersen BK, Ding D, Mogensen LJH, Tu S, Holm NR, Westra J, Wijns W. Predictive value of post-percutaneous coronary intervention fractional flow reserve: a systematic review and meta-analysis. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2023; 9:99-108. [PMID: 36026514 DOI: 10.1093/ehjqcco/qcac053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 07/14/2022] [Accepted: 08/17/2022] [Indexed: 11/12/2022]
Abstract
AIMS We aimed to investigate the relationship between post-percutaneous coronary intervention (PCI) fractional flow reserve (FFR) and clinical outcome using a systematic review with a study-level meta-analysis. METHODS AND RESULTS MEDLINE, Embase, and CENTRAL were systematically searched for articles with clinical follow-up reporting mean or median final post-PCI FFR. The main outcome was a composite of major adverse cardiac events (MACE) including all-cause death, myocardial infarction (MI), and target vessel revascularization (TVR). Meta-regression analyses were performed on mean post-PCI FFR values. A total of 62 studies with 12 340 patients and 12 923 stented vessels were included, with follow-ups ranging from 1 to 89 months. Post-PCI FFR was not continuously associated with the rate of 1-year MACE or 1-year TVR using meta-regression models accounting for heterogeneous follow-up lengths. For studies comparing high vs. low post-PCI FFR, low post-PCI FFR was associated with high risk ratio for MACE {1.97 [95% confidence interval (CI):1.45-2.67]}, all-cause death [1.59 (95% CI: 1.08-2.34)], MI [3.18 (95% CI: 1.84-5.50)], TVR [2.08 (95% CI: 1.63-2.65)] and angina status [2.50 (95% CI: 1.53-4.06)] using different optimal cut-off values spanning from 0.80 to 0.95. CONCLUSION We found no clear continuous association between post-PCI FFR and clinical outcomes in this systematic study-level meta-analysis. In a subset of studies investigating binary classification, high post-PCI FFR was associated with a better clinical outcome than low post-PCI FFR.We investigated the relationship between post-percutaneous coronary intervention (PCI) fractional flow reserve (FFR) and rate of major adverse cardiac events (MACE), including all-cause death, myocardial infarction (MI), and target vessel revascularization (TVR), using a systematic review and study-level meta-analysis, pooling 12 340 patients from 62 studies. Mean post-PCI FFR was not continuously associated with a 1-year MACE rate accounting for heterogenous follow-up lengths. Still, the risk ratio favoured high post-PCI FFR for reduced MACE, all-cause death, MI, TVR, and better angina status using different cut-offs.
Collapse
Affiliation(s)
- Birgitte Krogsgaard Andersen
- Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 69, 8200 Aarhus, Skejby, Denmark.,Department of Internal Medicine, Horsens Regional Hospital, Horsens, Denmark
| | - Daixin Ding
- The Lambe Institute for Translational Medicine and Curam, National University of Ireland Galway, Galway, Ireland.,Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Lone Juul Hune Mogensen
- Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 69, 8200 Aarhus, Skejby, Denmark
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Niels Ramsing Holm
- Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 69, 8200 Aarhus, Skejby, Denmark
| | - Jelmer Westra
- Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 69, 8200 Aarhus, Skejby, Denmark
| | - William Wijns
- The Lambe Institute for Translational Medicine and Curam, National University of Ireland Galway, Galway, Ireland
| |
Collapse
|
11
|
Kumar S, Chu M, Sans-Roselló J, Fernández-Peregrina E, Kahsay Y, Gonzalo N, Salazar CH, Alfonso F, Tu S, Garcia-Garcia HM. In-Hospital Heart Failure in Patients With Takotsubo Cardiomyopathy Due to Coronary Artery Disease: An Artificial Intelligence and Optical Coherence Tomography Study. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2023; 47:40-45. [PMID: 36182565 DOI: 10.1016/j.carrev.2022.09.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 09/17/2022] [Accepted: 09/21/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND Takotsubo syndrome (TTS) is often associated with symptoms of heart failure (HF) during the acute phase of the disease. 3-dimensional optical coherence tomography (OCT) may be used to assess the extent of angiographically silent underlying coronary artery disease (CAD). This study aims to use an artificial intelligence algorithm to analyze OCT findings and to determine whether the presence of pre-existing CAD predisposes TTS patients to present HF at admission. METHODS This is an observational and retrospective study that enrolled TTS patients who underwent coronary angiography and OCT examination of left anterior descending (LAD) coronary artery. Plaque characterization was automatically analyzed via an artificial intelligence model from OCT images. An angiography-derived index of microcirculatory resistance (IMRangio) using the optic flow ratio (OFR) was calculated to assess its correlation with plaque volumes. RESULTS Thirty-seven patients were included (94.6 % women) with a median age of 82.0 years. Ten patients (27 %) showed some degree of HF at admission. Sixty-seven coronary non-obstructive plaques were analyzed. Tissue compositional analysis showed that patients with HF had an increased overall plaque volume (79.0 mm3 vs 28.6 mm3; p = 0.011) and longer plaque lesion length (12.8 mm vs 7.2 mm; p = 0.006). Patients with HF also showed an increased percentage of lipidic and calcified plaque tissue (26.4 % vs 13.4 %; p = 0.019 and 4.5 % vs 0.0 %; p = 0.001, respectively). A moderate positive correlation was found between global overall plaque volume and IMRangio. CONCLUSION Increased overall plaque volume was associated with the development of HF during the acute phase of TTS, suggesting that the presence of angiographically silent underlying CAD may play a prognostic role in these patients.
Collapse
Affiliation(s)
- Sant Kumar
- Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington DC, United States of America
| | - Miao Chu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Jordi Sans-Roselló
- Department of Cardiology, Parc Taulí Hospital Universitari, Sabadell, Barcelona, Spain; Department of Medicine, School of Medicine, Universidad Autonoma de Barcelona, 08003 Barcelona, Spain
| | - Estefanía Fernández-Peregrina
- Interventional Cardiology Unit, Department of Cardiology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute IIB-Sant Pau, Barcelona, Spain
| | - Yirga Kahsay
- Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington DC, United States of America
| | - Nieves Gonzalo
- Section of Interventional Cardiology, Hospital Clinico San Carlos, Madrid, Spain
| | | | - Fernando Alfonso
- Department of Cardiology, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP. CIBER-CV, Madrid, Spain
| | - Shengxian Tu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Hector M Garcia-Garcia
- Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington DC, United States of America.
| |
Collapse
|
12
|
Functional Patterns of Coronary Disease. JACC Cardiovasc Interv 2022; 15:2174-2191. [DOI: 10.1016/j.jcin.2022.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/07/2022] [Accepted: 07/12/2022] [Indexed: 11/09/2022]
|
13
|
Araki M, Park SJ, Dauerman HL, Uemura S, Kim JS, Di Mario C, Johnson TW, Guagliumi G, Kastrati A, Joner M, Holm NR, Alfonso F, Wijns W, Adriaenssens T, Nef H, Rioufol G, Amabile N, Souteyrand G, Meneveau N, Gerbaud E, Opolski MP, Gonzalo N, Tearney GJ, Bouma B, Aguirre AD, Mintz GS, Stone GW, Bourantas CV, Räber L, Gili S, Mizuno K, Kimura S, Shinke T, Hong MK, Jang Y, Cho JM, Yan BP, Porto I, Niccoli G, Montone RA, Thondapu V, Papafaklis MI, Michalis LK, Reynolds H, Saw J, Libby P, Weisz G, Iannaccone M, Gori T, Toutouzas K, Yonetsu T, Minami Y, Takano M, Raffel OC, Kurihara O, Soeda T, Sugiyama T, Kim HO, Lee T, Higuma T, Nakajima A, Yamamoto E, Bryniarski KL, Di Vito L, Vergallo R, Fracassi F, Russo M, Seegers LM, McNulty I, Park S, Feldman M, Escaned J, Prati F, Arbustini E, Pinto FJ, Waksman R, Garcia-Garcia HM, Maehara A, Ali Z, Finn AV, Virmani R, Kini AS, Daemen J, Kume T, Hibi K, Tanaka A, Akasaka T, Kubo T, Yasuda S, Croce K, Granada JF, Lerman A, Prasad A, Regar E, Saito Y, Sankardas MA, Subban V, Weissman NJ, Chen Y, Yu B, Nicholls SJ, Barlis P, West NEJ, Arbab-Zadeh A, Ye JC, Dijkstra J, Lee H, Narula J, Crea F, Nakamura S, Kakuta T, Fujimoto J, Fuster V, Jang IK. Optical coherence tomography in coronary atherosclerosis assessment and intervention. Nat Rev Cardiol 2022; 19:684-703. [PMID: 35449407 PMCID: PMC9982688 DOI: 10.1038/s41569-022-00687-9] [Citation(s) in RCA: 146] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/03/2022] [Indexed: 02/07/2023]
Abstract
Since optical coherence tomography (OCT) was first performed in humans two decades ago, this imaging modality has been widely adopted in research on coronary atherosclerosis and adopted clinically for the optimization of percutaneous coronary intervention. In the past 10 years, substantial advances have been made in the understanding of in vivo vascular biology using OCT. Identification by OCT of culprit plaque pathology could potentially lead to a major shift in the management of patients with acute coronary syndromes. Detection by OCT of healed coronary plaque has been important in our understanding of the mechanisms involved in plaque destabilization and healing with the rapid progression of atherosclerosis. Accurate detection by OCT of sequelae from percutaneous coronary interventions that might be missed by angiography could improve clinical outcomes. In addition, OCT has become an essential diagnostic modality for myocardial infarction with non-obstructive coronary arteries. Insight into neoatherosclerosis from OCT could improve our understanding of the mechanisms of very late stent thrombosis. The appropriate use of OCT depends on accurate interpretation and understanding of the clinical significance of OCT findings. In this Review, we summarize the state of the art in cardiac OCT and facilitate the uniform use of this modality in coronary atherosclerosis. Contributions have been made by clinicians and investigators worldwide with extensive experience in OCT, with the aim that this document will serve as a standard reference for future research and clinical application.
Collapse
Affiliation(s)
| | | | | | | | - Jung-Sun Kim
- Yonsei University College of Medicine, Seoul, South Korea
| | | | - Thomas W Johnson
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | | | - Adnan Kastrati
- Technische Universität München and Munich Heart Alliance, Munich, Germany
| | | | | | | | - William Wijns
- National University of Ireland Galway and Saolta University Healthcare Group, Galway, Ireland
| | | | | | - Gilles Rioufol
- Hospices Civils de Lyon and Claude Bernard University, Lyon, France
| | | | | | | | | | | | - Nieves Gonzalo
- Hospital Clinico San Carlos, IdISSC, Universidad Complutense, Madrid, Spain
| | | | - Brett Bouma
- Massachusetts General Hospital, Boston, MA, USA
| | | | - Gary S Mintz
- Cardiovascular Research Foundation, New York, NY, USA
| | - Gregg W Stone
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christos V Bourantas
- Barts Health NHS Trust, University College London and Queen Mary University London, London, UK
| | - Lorenz Räber
- Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | | | | | | | - Myeong-Ki Hong
- Yonsei University College of Medicine, Seoul, South Korea
| | - Yangsoo Jang
- Yonsei University College of Medicine, Seoul, South Korea
| | | | - Bryan P Yan
- Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Italo Porto
- University of Genoa, Genoa, Italy, San Martino Hospital, IRCCS for Oncology and Neurosciences, Genoa, Italy
| | | | - Rocco A Montone
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | | | | | - Harmony Reynolds
- New York University Grossman School of Medicine, New York, NY, USA
| | - Jacqueline Saw
- Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Peter Libby
- Brigham and Women's Hospital, Boston, MA, USA
| | - Giora Weisz
- New York Presbyterian Hospital, Columbia University Medical Center and Cardiovascular Research Foundation, New York, NY, USA
| | | | - Tommaso Gori
- Universitäts medizin Mainz and DZHK Rhein-Main, Mainz, Germany
| | | | | | | | | | | | - Osamu Kurihara
- Nippon Medical School Chiba Hokusoh Hospital, Chiba, Japan
| | | | | | | | - Tetsumin Lee
- Japanese Red Cross Musashino Hospital, Tokyo, Japan
| | - Takumi Higuma
- Kawasaki Municipal Tama Hospital, St. Marianna University School of Medicine, Kanagawa, Japan
| | | | - Erika Yamamoto
- Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Krzysztof L Bryniarski
- Jagiellonian University Medical College, Institute of Cardiology, Department of Interventional Cardiology, John Paul II Hospital, Krakow, Poland
| | | | | | | | - Michele Russo
- Catholic University of the Sacred Heart, Rome, Italy
| | | | | | - Sangjoon Park
- Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Marc Feldman
- University of Texas Health, San Antonio, TX, USA
| | | | - Francesco Prati
- UniCamillus - Saint Camillus International University of Health Sciences, Rome, Italy
| | - Eloisa Arbustini
- IRCCS Foundation University Hospital Policlinico San Matteo, Pavia, Italy
| | - Fausto J Pinto
- Santa Maria University Hospital, CHULN Center of Cardiology of the University of Lisbon, Lisbon School of Medicine, Lisbon Academic Medical Center, Lisbon, Portugal
| | - Ron Waksman
- MedStar Washington Hospital Center, Washington, DC, USA
| | | | - Akiko Maehara
- Cardiovascular Research Foundation, New York, NY, USA
| | - Ziad Ali
- Cardiovascular Research Foundation, New York, NY, USA
| | | | | | | | - Joost Daemen
- Erasmus University Medical Centre, Rotterdam, Netherlands
| | | | - Kiyoshi Hibi
- Yokohama City University Medical Center, Kanagawa, Japan
| | | | | | | | - Satoshi Yasuda
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kevin Croce
- Brigham and Women's Hospital, Boston, MA, USA
| | | | | | | | | | | | | | | | | | - Yundai Chen
- Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Bo Yu
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | - Peter Barlis
- University of Melbourne, Melbourne, Victoria, Australia
| | | | | | - Jong Chul Ye
- Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | | | - Hang Lee
- Massachusetts General Hospital, Boston, MA, USA
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Filippo Crea
- Catholic University of the Sacred Heart, Rome, Italy
| | | | | | - James Fujimoto
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Ik-Kyung Jang
- Massachusetts General Hospital, Boston, MA, USA.
- Kyung Hee University, Seoul, South Korea.
| |
Collapse
|
14
|
Fezzi S, Huang J, Lunardi M, Ding D, Ribichini FL, Tu S, Wijns W. Coronary physiology in the catheterisation laboratory: an A to Z practical guide. ASIAINTERVENTION 2022; 8:86-109. [PMID: 36798834 PMCID: PMC9890586 DOI: 10.4244/aij-d-22-00022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/21/2022] [Indexed: 11/16/2022]
Abstract
Coronary revascularisation, either percutaneous or surgical, aims to improve coronary flow and relieve myocardial ischaemia. The decision-making process in patients with coronary artery disease (CAD) remains largely based on invasive coronary angiography (ICA), even though until recently ICA could not assess the functional significance of coronary artery stenoses. Invasive wire-based approaches for physiological evaluations were developed to properly assess the ischaemic relevance of epicardial CAD. Fractional flow reserve (FFR) and later, instantaneous wave-free ratio (iFR), were shown to improve clinical outcomes in several patient subsets when used for coronary revascularisation guidance or deferral and for procedural optimisation of percutaneous coronary intervention (PCI) results. Despite accumulating evidence and positive guideline recommendations, the adoption of invasive physiology has remained quite low, mainly due to technical and economic issues as well as to operator-resistance to change. Coronary image-based computational physiology has been recently developed, with promising results in terms of accuracy and a reduction in computational time, costs, radiation exposure and risks for the patient. Lastly, the integration of intracoronary imaging and physiology allows for individualised PCI treatment, aiming at complete relief of ischaemia through optimised morpho-functional immediate procedural results. Instead of a conventional state-of-the-art review, this A to Z dictionary attempts to provide a practical guide for the application of coronary physiology in the catheterisation laboratory, exploring several methods, their pitfalls, and useful tips and tricks.
Collapse
Affiliation(s)
- Simone Fezzi
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Jiayue Huang
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Mattia Lunardi
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Daixin Ding
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Flavio L Ribichini
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian, China
| | - William Wijns
- The Lambe Institute for Translational Medicine, The Smart Sensors Lab and Curam, National University of Ireland, University Road, Galway, Ireland
| |
Collapse
|
15
|
Guan S, Gan Q, Han W, Zhai X, Wang M, Chen Y, Zhang L, Li T, Chang X, Liu H, Hong W, Li Z, Tu S, Qu X. Feasibility of Quantitative Flow Ratio Virtual Stenting for Guidance of Serial Coronary Lesions Intervention. J Am Heart Assoc 2022; 11:e025663. [PMID: 36129050 PMCID: PMC9673740 DOI: 10.1161/jaha.122.025663] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background Coronary physiology measurement in serial coronary lesions with multiple stenoses is challenging. Therefore, we evaluated the feasibility of Murray fractal law‐based quantitative flow ratio (μQFR) virtual stenting for guidance of serial coronary lesions intervention. Methods and Results Patients who underwent elective coronary angiography and had 2 serial de novo coronary lesions of 30% to 90% diameter stenosis by visual estimation were prospectively enrolled. μQFR and fractional flow reserve (FFR) were assessed after coronary angiography. In vessels with an FFR ≤0.80, the lesion with the larger pressure gradient was considered to be the primary lesion and treated firstly, followed by FFR measurement. The second lesion was stented when FFR ≤0.80. All μQFR and predicted μQFR after stenting were calculated from diagnostic coronary angiography before interventions, with the analysts masked to the FFR data. A total of 54 patients with 61 target vessels were interrogated. Percutaneous coronary intervention was performed in 44 vessels with FFR ≤0.80. After stenting the primary lesions, 14 nonprimary lesions had FFR ≤0.80 and a second drug‐eluting stent was implanted. There was excellent correlation (r=0.97, P<0.001) and good agreement (mean difference: 0.00±0.03) between baseline μQFR and FFR in identifying flow‐limiting lesions. Per‐vessel diagnostic accuracy of μQFR on de novo lesions was 96.7% (95% CI, 88.7%–99.6%). μQFR and FFR are highly consistent (93.2%) in identifying the primary lesion requiring revascularization. After stenting the primary lesions, per‐vessel diagnostic accuracy of predicted μQFR for identifying the significance of the nonprimary lesion was 90.9%. Predicted residual μQFR with virtual stenting was higher than final FFR (mean difference: 0.05±0.06). Conclusions In vessels with serial coronary lesions, virtual stenting by μQFR can identify the primary flow‐limiting lesion for revascularization.
Collapse
Affiliation(s)
- Shaofeng Guan
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Qian Gan
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Wenzheng Han
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Xinrong Zhai
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Ming Wang
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Yang Chen
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Liang Zhang
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Tianqi Li
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Xifeng Chang
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Hongyuan Liu
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Weilin Hong
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| | - Zehang Li
- Shanghai Jiao Tong University-Pulse Medical Imaging Joint Laboratory Shanghai China
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China
| | - Xinkai Qu
- Department of Cardiology Huadong Hospital Affiliated to Fudan University Shanghai China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai China
| |
Collapse
|
16
|
Hong H, Li C, Gutiérrez-Chico JL, Wang Z, Huang J, Chu M, Kubo T, Chen L, Wijns W, Tu S. Radial wall strain: a novel angiographic measure of plaque composition and vulnerability. EUROINTERVENTION 2022; 18:EIJ-D-22-00537. [PMID: 36073027 PMCID: PMC9853031 DOI: 10.4244/eij-d-22-00537] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 07/28/2022] [Indexed: 01/22/2023]
Abstract
BACKGROUND The lipid-to-cap ratio (LCR) and thin-cap fibroatheroma (TCFA) derived from optical coherence tomography (OCT) are indicative of plaque vulnerability. AIMS We aimed to explore the association of a novel method to estimate radial wall strain (RWS) from angiography with plaque composition and features of vulnerability assessed by OCT. METHODS Anonymised data from patients with intermediate stenosis who underwent coronary angiography (CAG) and OCT were analysed in a core laboratory. Angiography-derived RWSmax was computed as the maximum deformation of lumen diameter throughout the cardiac cycle, expressed as a percentage of the largest lumen diameter. The LCR and TCFA were automatically determined on OCT images by a recently validated algorithm based on artificial intelligence. RESULTS OCT and CAG images from 114 patients (124 vessels) were analysed. The average time for the analysis of RWSmax was 57 (39-82) seconds. The RWSmax in the interrogated plaques was 12% (10-15%) and correlated positively with the LCR (r=0.584; p<0.001) and lipidic plaque burden (r=0.411; p<0.001), and negatively with fibrous cap thickness (r= -0.439; p<0.001). An RWSmax >12% was an angiographic predictor for an LCR >0.33 (area under the curve [AUC]=0.86, 95% confidence interval [CI]: 0.78-0.91; p<0.001) and TCFA (AUC=0.72, 95% CI: 0.63-0.80; p<0.001). Lesions with RWSmax >12% had a higher prevalence of TCFA (22.0% versus 1.5%; p<0.001), thinner fibrous cap thickness (71 μm versus 101 μm; p<0.001), larger lipidic plaque burden (23.3% versus 15.4%; p<0.001), and higher maximum LCR (0.41 versus 0.18; p<0.001) compared to lesions with RWSmax ≤12%. CONCLUSIONS Angiography-derived RWS was significantly correlated with plaque composition and known OCT features of plaque vulnerability in patients with intermediate coronary stenosis.
Collapse
Affiliation(s)
- Huihong Hong
- Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Chunming Li
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Juan Luis Gutiérrez-Chico
- Department of Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiqing Wang
- Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jiayue Huang
- The Lambe Institute for Translational Medicine, The Smart Sensors Laboratory and Curam, National University of Ireland Galway, Galway, Ireland
| | - Miao Chu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Takashi Kubo
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan
| | - Lianglong Chen
- Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - William Wijns
- The Lambe Institute for Translational Medicine, The Smart Sensors Laboratory and Curam, National University of Ireland Galway, Galway, Ireland
| | - Shengxian Tu
- Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
17
|
Zhai C, Fan H, Zhu Y, Chen Y, Shen L. Coronary functional assessment in non-obstructive coronary artery disease: Present situation and future direction. Front Cardiovasc Med 2022; 9:934279. [PMID: 36082113 PMCID: PMC9445206 DOI: 10.3389/fcvm.2022.934279] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
Non-obstructive coronary artery disease (CAD), which is defined as coronary stenosis <50%, has been increasingly recognized as an emerging entity in clinical practice. Vasomotion abnormality and coronary microvascular dysfunction are two major mechanisms contributing to the occur of angina with non-obstructive CAD. Although routine coronary functional assessment is limited due to several disadvantages, functional evaluation can help to understand the pathophysiological mechanism and/or to exclude specific etiologies. In this review, we summarized the potential mechanisms involved in ischemia with non-obstructive coronary arteries (INOCA) and myocardial infarction with non-obstructive coronary arteries (MINOCA), the two major form of non-obstructive CAD. Additionally, we reviewed currently available functional assessment indices and their use in non-obstructive CAD. Furthermore, we speculated that novel technique combined anatomic and physiologic parameters might provide more individualized therapeutic choice for patients with non-obstructive CAD.
Collapse
Affiliation(s)
- Changlin Zhai
- Department of Cardiology, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Hongyan Fan
- Department of Cardiology, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Yujuan Zhu
- Department of Cardiology, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Yunqing Chen
- Department of Infectious Diseases, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Liang Shen
- Department of Cardiology, Affiliated Hospital of Jiaxing University, Jiaxing, China
- *Correspondence: Liang Shen
| |
Collapse
|
18
|
Sun H, Zhao C, Qin Y, Li C, Jia H, Yu B, Wang Z. In vivo detection of plaque erosion by intravascular optical coherence tomography using artificial intelligence. BIOMEDICAL OPTICS EXPRESS 2022; 13:3922-3938. [PMID: 35991920 PMCID: PMC9352282 DOI: 10.1364/boe.459623] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/14/2022] [Accepted: 05/27/2022] [Indexed: 05/11/2023]
Abstract
Plaque erosion is one of the most common underlying mechanisms for acute coronary syndrome (ACS). Optical coherence tomography (OCT) allows in vivo diagnosis of plaque erosion. However, challenge remains due to high inter- and intra-observer variability. We developed an artificial intelligence method based on deep learning for fully automated detection of plaque erosion in vivo, which achieved a recall of 0.800 ± 0.175, a precision of 0.734 ± 0.254, and an area under the precision-recall curve (AUC) of 0.707. Our proposed method is in good agreement with physicians, and can help improve the clinical diagnosis of plaque erosion and develop individualized treatment strategies for optimal management of ACS patients.
Collapse
Affiliation(s)
- Haoyue Sun
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
- Contributed equally
| | - Chen Zhao
- Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- The Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
- Contributed equally
| | - Yuhan Qin
- Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- The Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Chao Li
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Haibo Jia
- Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- The Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Bo Yu
- Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- The Key Laboratory of Medical Ischemia, Chinese Ministry of Education, Harbin, China
| | - Zhao Wang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| |
Collapse
|
19
|
Zhang J, Zhao N, Xu B, Xie L, Yin W, An Y, Yan H, Yu Y, Lu B. Angiographic Lesion Morphology Provides Incremental Value to Generalize Quantitative Flow Ratio for Predicting Myocardial Ischemia. Front Cardiovasc Med 2022; 9:872498. [PMID: 35734275 PMCID: PMC9207314 DOI: 10.3389/fcvm.2022.872498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/28/2022] [Indexed: 11/13/2022] Open
Abstract
AimThe quantitative flow ratio (QFR) is favorable for functional assessment of coronary artery stenosis without pressure wires and induction of hyperemia. The aim of this study was to explore whether angiographic lesion morphology provides incremental value to generalize QFR for predicting myocardial ischemia in unselected patients.MethodsThis study was a substudy to the CT-FFR CHINA trial, referring 345 participants from five centers with suspected coronary artery disease on coronary CT angiography for diagnostic invasive coronary angiography (ICA). Fractional flow reserve (FFR) was measured in all vessels with 30–90% diameter stenosis. QFR was calculated in 186 lesions from 159 participants in a blinded manner. In addition, parameters to characterize lesion features were recorded or measured, including left anterior descending arteries (LADs)-involved lesions, side branch located at stenotic lesion (BL), multiple lesions (ML), minimal lumen diameter (MLD), reference lumen diameter (RLD), percent diameter stenosis (%DS), lesion length (LL), and LL/MLD4. Logistic regression was used to construct two kinds of models by combining single or two lesion parameters with the QFR. The performances of these models were compared with that of QFR on a per-vessel level.ResultsA total of 148 participants (mean age: 59.5 years; 101 men) with 175 coronary arteries were included for final analysis. In total, 81 (46%) vessels were considered hemodynamically significant. QFR correctly classified 82.29% of the vessels using FFR with a cutoff of 0.80 as reference standard. The area under the receiver operating characteristic curve (AUC) of QFR was 0.86 with a sensitivity, specificity, positive predictive value, and negative predictive value of 80.25, 84.04, 81.25, and 83.16%, respectively. The combined models (QFR + LAD + MLD, QFR + LAD + %DS, QFR + BL + MLD, and QFR + BL + %DS) outperformed QFR with higher AUCs (0.91 vs. 0.86, P = 0.02; 0.91 vs. 0.86, P = 0.02; 0.91 vs. 0.86, P = 0.02; 0.90 vs. 0.86, P = 0.03, respectively). Compared with QFR, the sensitivity of the combined models (QFR + BL and QFR + MLD) was improved (91.36 vs. 80.25%, 91.36 vs. 80.25%, respectively, both P < 0.05) without compromised specificity or accuracy.ConclusionCombined with angiographic lesion parameters, QFR can be optimized for predicting myocardial ischemia in unselected patients.
Collapse
Affiliation(s)
- Jie Zhang
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na Zhao
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Xu
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lihua Xie
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weihua Yin
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yunqiang An
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hankun Yan
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yitong Yu
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bin Lu
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Bin Lu,
| |
Collapse
|
20
|
Alasnag M, Ahmed W, Al-Bawardy R, Shammeri OA, Biswas S, Johnson TW. Optimising PCI by Intracoronary Image-guidance. Front Cardiovasc Med 2022; 9:878801. [PMID: 35647055 PMCID: PMC9136172 DOI: 10.3389/fcvm.2022.878801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
Evidence to support the use of intracoronary imaging (ICI) in guiding percutaneous coronary intervention (PCI) is growing, with observational and randomized controlled trials demonstrating a benefit in acute procedural and clinical outcomes. ICI provides an opportunity to guide PCI, detailing the nature of the coronary disease, potentially influencing lesion preparation and stent selection. Following stent deployment, ICI offers a detailed assessment of lesion coverage, associated vessel trauma and stent expansion. Consensus statements have emphasized the role of ICI and detailed the parameters of stent optimization. However, intracoronary imaging is not adopted widely yet. Significant global differences in the uptake of ICI have been reported, with the vast majority of PCI being angiographically-guided. The three major barriers to the implementation of ICI include, in order of impact, prohibitive cost, prolongation of procedure time and local regulatory issues for use. However, it is our belief that a lack of education and the associated challenges of ICI interpretation provide the greatest barrier to adoption. We hope that this review of the role of ICI in PCI optimization will provide a platform for PCI operators to gain confidence in the utilization of ICI to enhance outcomes for their patients.
Collapse
Affiliation(s)
- Mirvat Alasnag
- Cardiac Center, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia
- *Correspondence: Mirvat Alasnag
| | - Waqar Ahmed
- Cardiac Center, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia
| | - Rasha Al-Bawardy
- King Faisal Cardiac Center, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, King Saud bin Abdulaziz University for Health Science, Jeddah, Saudi Arabia
| | | | - Sinjini Biswas
- Bristol Heart Institute, Translational Health Science, University of Bristol, Bristol, United Kingdom
| | - Thomas W. Johnson
- Bristol Heart Institute, Translational Health Science, University of Bristol, Bristol, United Kingdom
| |
Collapse
|
21
|
Takahashi T, Shin D, Kuno T, Lee JM, Latib A, Fearon WF, Maehara A, Kobayashi Y. Diagnostic performance of fractional flow reserve derived from coronary angiography, intravascular ultrasound, and optical coherence tomography; a meta-analysis. J Cardiol 2022; 80:1-8. [DOI: 10.1016/j.jjcc.2022.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/06/2022] [Accepted: 02/17/2022] [Indexed: 10/18/2022]
|
22
|
Gutiérrez-Chico J. Planning percutaneous interventions with optical flow ratio: "niu" odds in favour of imaging in the year of the Ox. EUROINTERVENTION 2021; 17:e958-e960. [PMID: 34916180 PMCID: PMC9707518 DOI: 10.4244/eijv17i12a160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Juan Gutiérrez-Chico
- Ruijin Hospital, 197 Ruijin 2nd Road, Huangpu District, 200025 Shanghai, China. E-mail:
| |
Collapse
|
23
|
Coronary physiologic assessment based on angiography and intracoronary imaging. J Cardiol 2021; 79:71-78. [PMID: 34384666 DOI: 10.1016/j.jjcc.2021.07.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 07/08/2021] [Indexed: 01/20/2023]
Abstract
Despite the current evidence supporting clinical benefits of fractional flow reserve (FFR), its uptake in the cardiac catheterization laboratory has been slow due to procedural cost and increased time with the need for maximum hyperemia. Recently, novel physiological indices derived from coronary angiography and intracoronary imaging have emerged to overcome issues with a wire-based FFR. Angiography-based FFR can be measured without vessel instrumentation and has shown excellent diagnostic performance using wire-based FFR as the reference standard. Thus, angiography-based FFR may facilitate coronary functional assessment before and after percutaneous coronary intervention (PCI). Angiography-based index of microcirculatory resistance (IMR) is another new computational index for assessing the coronary microcirculation. Although angiography-derived IMR remains in an early phase of development and requires further validation, its less-invasive nature may help broaden the adoption of microvascular functional assessment in various conditions such as myocardial infarction and cardiac allograft vasculopathy. Lastly, computational FFR based on intravascular ultrasound and optical coherence tomography allows detailed lesion assessment from both morphological and functional standpoints. Given a growing interest in physiology-guided PCI optimization strategies, intravascular imaging-based FFR may become the main assessment tool to confirm successful PCI.
Collapse
|