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Mancone M, Mézquita AJV, Birtolo LI, Maurovich-Horvat P, Kofoed KF, Benedek T, Donnelly P, Rodriguez-Palomares J, Erglis A, Štěchovský C, Šakalytė G, Ađić NČ, Gutberlet M, Diez I, Davis G, Zimmermann E, Kępka C, Vidakovic R, Francone M, Ilnicka-Suckiel M, Plank F, Knuuti J, Faria R, Schröder S, Berry C, Saba L, Ruzsics B, Rieckmann N, Kubiak C, Hansen KS, Müller-Nordhorn J, Merkely B, Sigvardsen PE, Benedek I, Orr C, Valente FX, Zvaigzne L, Suchánek V, Jankauskas A, Ađić F, Woinke M, Keane S, Lecumberri I, Thwaite E, Kruk M, Jovanovic V, Kuśmierz D, Feuchtner G, Pietilä M, Ribeiro VG, Drosch T, Delles C, Palmisano V, Fisher M, Drobni ZD, Kragelund C, Aurelian R, Kelly S, Del Blanco BG, Rubio A, Boussoussou M, Hove JD, Rodean I, Regan S, Calabria HC, Becker D, Larsen L, Hodas R, Napp AE, Haase R, Feger S, Mohamed M, Neumann K, Dreger H, Rief M, Wieske V, Douglas PS, Estrella M, Bosserdt M, Martus P, Serna-Higuita LM, Dodd JD, Dewey M. Impact of smoking in patients with suspected coronary artery disease in the randomised DISCHARGE trial. Eur Radiol 2024; 34:4127-4141. [PMID: 37991508 DOI: 10.1007/s00330-023-10355-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/24/2023] [Accepted: 08/28/2023] [Indexed: 11/23/2023]
Abstract
OBJECTIVES To investigate if the effect of cardiac computed tomography (CT) vs. invasive coronary angiography (ICA) on cardiovascular events differs based on smoking status. MATERIALS AND METHODS This pre-specified subgroup analysis of the pragmatic, prospective, multicentre, randomised DISCHARGE trial (NCT02400229) involved 3561 patients with suspected coronary artery disease (CAD). The primary endpoint was major adverse cardiovascular events (MACE: cardiovascular death, non-fatal myocardial infarction, or stroke). Secondary endpoints included an expanded MACE composite (MACE, transient ischaemic attack, or major procedure-related complications). RESULTS Of 3445 randomised patients with smoking data (mean age 59.1 years + / - 9.7, 1151 men), at 3.5-year follow-up, the effect of CT vs. ICA on MACE was consistent across smoking groups (p for interaction = 0.98). The percutaneous coronary intervention rate was significantly lower with a CT-first strategy in smokers and former smokers (p = 0.01 for both). A CT-first strategy reduced the hazard of major procedure-related complications (HR: 0.21, 95% CI: 0.03, 0.81; p = 0.045) across smoking groups. In current smokers, the expanded MACE composite was lower in the CT- compared to the ICA-first strategy (2.3% (8) vs 6.0% (18), HR: 0.38; 95% CI: 0.17, 0.88). The rate of non-obstructive CAD was significantly higher in all three smoking groups in the CT-first strategy. CONCLUSION For patients with stable chest pain referred for ICA, the clinical outcomes of CT were consistent across smoking status. The CT-first approach led to a higher detection rate of non-obstructive CAD and fewer major procedure-related complications in smokers. CLINICAL RELEVANCE STATEMENT This pre-specified sub-analysis of the DISCHARGE trial confirms that a CT-first strategy in patients with stable chest pain referred for invasive coronary angiography with an intermediate pre-test probability of coronary artery disease is as effective as and safer than invasive coronary angiography, irrespective of smoking status. TRIAL REGISTRATION ClinicalTrials.gov NCT02400229. KEY POINTS • No randomised studies have assessed smoking status on CT effectiveness in symptomatic patients referred for invasive coronary angiography. • A CT-first strategy results in comparable adverse events, fewer complications, and increased coronary artery disease detection, irrespective of smoking status. • A CT-first strategy is safe and effective for stable chest pain patients with intermediate pre-test probability for CAD, including never smokers.
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Affiliation(s)
- Massimo Mancone
- Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy
| | - Aldo J Vázquez Mézquita
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Lucia Ilaria Birtolo
- Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy
| | - Pal Maurovich-Horvat
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
- Department of Radiology, Medical Imaging Center, Semmelweis University, Budapest, Hungary
| | - Klaus F Kofoed
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet & Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Radiology, Copenhagen University Hospital - Rigshospitalet & Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Theodora Benedek
- Department of Internal Medicine, Clinic of Cardiology, George Emil Palade University of Medicine, Pharmacy, Science and Technology, Targu Mures, Romania
- County Clinical Emergency Hospital Targu Mures, Targu Mures, Romania
| | - Patrick Donnelly
- Department of Cardiology, Southeastern Health and Social Care Trust, Belfast, UK
| | - Jose Rodriguez-Palomares
- Department of Cardiology, Hospital Universitario Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigacion Biomedica en Red, Madrid, Spain
| | - Andrejs Erglis
- Department of Cardiology, Paul Stradins Clinical University Hospital, Riga, Latvia
- Faculty of Medicine, University of Latvia, Riga, Latvia
| | - Cyril Štěchovský
- Department of Cardiology, Motol University Hospital, Prague, Czech Republic
| | - Gintare Šakalytė
- Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
- Department of Cardiology, Hospital of Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Nada Čemerlić Ađić
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
- Department of Cardiology, Institute for Cardiovascular Diseases of Vojvodina, Novi Sad, Serbia
| | - Matthias Gutberlet
- Department of Radiology, University of Leipzig Heart Centre, Leipzig, Germany
| | - Ignacio Diez
- Department of Cardiology, Basurto Hospital, Bilbao, Spain
| | - Gershan Davis
- Department of Cardiology, Aintree University Hospital, Liverpool, UK
- Edge Hill University, Ormskirk, UK
| | - Elke Zimmermann
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Cezary Kępka
- National Institute of Cardiology, Warsaw, Poland
| | - Radosav Vidakovic
- Department of Cardiology, Internal Medicine Clinic, Clinical Hospital Center Zemun, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Marco Francone
- Department of Radiological Sciences, Sapienza University of Rome, Rome, Italy
- Department of Biomedical Sciences, Humanitas University and IRCCS Humanitas Research Hospital, Milan, Italy
| | | | - Fabian Plank
- Department of Internal Medicine III, Department of Cardiology, Innsbruck Medical University, Innsbruck, Austria
- Department of Radiology, Innsbruck Medical University, Innsbruck, Austria
| | - Juhanni Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Rita Faria
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia-Espinho, Vila Nova de Gaia, Portugal
| | | | - Colin Berry
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Golden Jubilee National Hospital, Clydebank, UK
| | - Luca Saba
- Department of Radiology, University of Cagliari, Cagliari, CA, Italy
| | - Balazs Ruzsics
- Department of Cardiology, Liverpool University Hospital NHS FT, Liverpool, UK
- Liverpool Centre for Cardiovascular Studies, University of Liverpool, Liverpool, UK
| | - Nina Rieckmann
- Institute of Public Health, Charité, Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Christine Kubiak
- ECRIN-ERIC (European Clinical Research Infrastructure Network-European Research Infrastructure Consortium), Paris, France
| | - Kristian Schultz Hansen
- Department of Public Health, Section for Health Services Research, University of Copenhagen, Copenhagen, Denmark
| | | | - Bela Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
- Department of Radiology, Medical Imaging Center, Semmelweis University, Budapest, Hungary
| | - Per E Sigvardsen
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet & Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Radiology, Copenhagen University Hospital - Rigshospitalet & Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Imre Benedek
- Center of Advanced Research in Multimodality Cardiac Imaging, CardioMed Medical Center, Targu Mures, Romania
| | - Clare Orr
- Department of Cardiology, Southeastern Health and Social Care Trust, Belfast, UK
| | - Filipa Xavier Valente
- Department of Cardiology, Hospital Universitario Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigacion Biomedica en Red, Madrid, Spain
| | - Ligita Zvaigzne
- Department of Cardiology, Paul Stradins Clinical University Hospital, Riga, Latvia
| | - Vojtěch Suchánek
- Department of Radiology, Motol University Hospital, Prague, Czech Republic
| | - Antanas Jankauskas
- Department of Radiology, Kaunas Clinics, Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Filip Ađić
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
- Department of Cardiology, Institute for Cardiovascular Diseases of Vojvodina, Novi Sad, Serbia
| | - Michael Woinke
- Department of Cardiology, University of Leipzig Heart Centre, Leipzig, Germany
| | - Stephen Keane
- Department of Cardiology, St. Vincent's University Hospital, Dublin, Ireland
| | | | - Erica Thwaite
- Department of Radiology, Aintree University Hospital, Liverpool, UK
| | - Mariusz Kruk
- National Institute of Cardiology, Warsaw, Poland
| | - Vladimir Jovanovic
- Department of Cardiology, Internal Medicine Clinic, Clinical Hospital Center Zemun, Belgrade, Serbia
| | - Donata Kuśmierz
- Department of Radiology, Provincial Specialist Hospital in Wroclaw, Wroclaw, Poland
| | - Gudren Feuchtner
- Department of Radiology, Innsbruck Medical University, Innsbruck, Austria
| | - Mikko Pietilä
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
- Administrative Centre, Health Care District of Southwestern Finland, Turku, Finland
| | - Vasco Gama Ribeiro
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia-Espinho, Vila Nova de Gaia, Portugal
| | - Tanja Drosch
- Department of Cardiology, Alb Fils Kliniken, Göppingen, Germany
| | - Christian Delles
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Vitanio Palmisano
- Department of Radiology, University of Cagliari, Cagliari, CA, Italy
- Department of Radiology and Neuroradiology, SS. Annunziata Hospital, Taranto, Italy
| | - Michael Fisher
- Department of Cardiology, Liverpool University Hospital NHS FT, Liverpool, UK
- Liverpool Centre for Cardiovascular Studies, University of Liverpool, Liverpool, UK
| | - Zsófia D Drobni
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Charlotte Kragelund
- Department of Cardiology, Nordsjællands Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Rosca Aurelian
- Department of Internal Medicine, Clinic of Cardiology, George Emil Palade University of Medicine, Pharmacy, Science and Technology, Targu Mures, Romania
| | - Stephanie Kelly
- Department of Cardiology, Southeastern Health and Social Care Trust, Belfast, UK
| | - Bruno Garcia Del Blanco
- Department of Cardiology, Hospital Universitario Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigacion Biomedica en Red, Madrid, Spain
| | - Ainhoa Rubio
- Department of Cardiology, Basurto Hospital, Bilbao, Spain
| | | | - Jens D Hove
- Department of Cardiology, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ioana Rodean
- Center of Advanced Research in Multimodality Cardiac Imaging, CardioMed Medical Center, Targu Mures, Romania
| | - Susan Regan
- Department of Cardiology, Southeastern Health and Social Care Trust, Belfast, UK
| | - Hug Cuéllar Calabria
- Department of Cardiology, Hospital Universitario Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Dávid Becker
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Linnea Larsen
- Department of Cardiology, Herlev-Gentofte Hospital, Hellerup, Denmark
| | - Roxana Hodas
- Department of Internal Medicine, Clinic of Cardiology, George Emil Palade University of Medicine, Pharmacy, Science and Technology, Targu Mures, Romania
| | - Adriane E Napp
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Robert Haase
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Sarah Feger
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Mahmoud Mohamed
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Konrad Neumann
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Henryk Dreger
- Deutsches Herzzentrum der Charité (DHZC), Department of Cardiology and Angiology, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany
- Deutsches Herzzentrum Der Charité (DHZC), Partner Site, Berlin, Germany
| | - Matthias Rief
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Viktoria Wieske
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Pamela S Douglas
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Melanie Estrella
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Maria Bosserdt
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Peter Martus
- Department of Clinical Epidemiology and Applied Biostatistics, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Lina M Serna-Higuita
- Department of Clinical Epidemiology and Applied Biostatistics, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Jonathan D Dodd
- Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland.
- School of Medicine, University College Dublin, Dublin, Ireland.
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Deutsches Herzzentrum Der Charité (DHZC), Partner Site Berlin, Berlin, Germany
- Berlin University Alliance, Berlin, Germany
- Deutsches Herzzentrum Der Charité (DHZC), Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
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2
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Mohamed M, Bosserdt M, Wieske V, Dubourg B, Alkadhi H, Garcia MJ, Leschka S, Zimmermann E, Shabestari AA, Nørgaard BL, Meijs MFL, Øvrehus KA, Diederichsen ACP, Knuuti J, Halvorsen BA, Mendoza-Rodriguez V, Wan YL, Bettencourt N, Martuscelli E, Buechel RR, Mickley H, Sun K, Muraglia S, Kaufmann PA, Herzog BA, Tardif JC, Schütz GM, Laule M, Newby DE, Achenbach S, Budoff M, Haase R, Biavati F, Mézquita AV, Schlattmann P, Dewey M. Combination of computed tomography angiography with coronary artery calcium score for improved diagnosis of coronary artery disease: a collaborative meta-analysis of stable chest pain patients referred for invasive coronary angiography. Eur Radiol 2024; 34:2426-2436. [PMID: 37831139 PMCID: PMC10957619 DOI: 10.1007/s00330-023-10223-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/29/2023] [Accepted: 07/30/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVES Coronary computed tomography angiography (CCTA) has higher diagnostic accuracy than coronary artery calcium (CAC) score for detecting obstructive coronary artery disease (CAD) in patients with stable chest pain, while the added diagnostic value of combining CCTA with CAC is unknown. We investigated whether combining coronary CCTA with CAC score can improve the diagnosis of obstructive CAD compared with CCTA alone. METHODS A total of 2315 patients (858 women, 37%) aged 61.1 ± 10.2 from 29 original studies were included to build two CAD prediction models based on either CCTA alone or CCTA combined with the CAC score. CAD was defined as at least 50% coronary diameter stenosis on invasive coronary angiography. Models were built by using generalized linear mixed-effects models with a random intercept set for the original study. The two CAD prediction models were compared by the likelihood ratio test, while their diagnostic performance was compared using the area under the receiver-operating-characteristic curve (AUC). Net benefit (benefit of true positive versus harm of false positive) was assessed by decision curve analysis. RESULTS CAD prevalence was 43.5% (1007/2315). Combining CCTA with CAC improved CAD diagnosis compared with CCTA alone (AUC: 87% [95% CI: 86 to 89%] vs. 80% [95% CI: 78 to 82%]; p < 0.001), likelihood ratio test 236.3, df: 1, p < 0.001, showing a higher net benefit across almost all threshold probabilities. CONCLUSION Adding the CAC score to CCTA findings in patients with stable chest pain improves the diagnostic performance in detecting CAD and the net benefit compared with CCTA alone. CLINICAL RELEVANCE STATEMENT CAC scoring CT performed before coronary CTA and included in the diagnostic model can improve obstructive CAD diagnosis, especially when CCTA is non-diagnostic. KEY POINTS • The combination of coronary artery calcium with coronary computed tomography angiography showed significantly higher AUC (87%, 95% confidence interval [CI]: 86 to 89%) for diagnosis of coronary artery disease compared to coronary computed tomography angiography alone (80%, 95% CI: 78 to 82%, p < 0.001). • Diagnostic improvement was mostly seen in patients with non-diagnostic C. • The improvement in diagnostic performance and the net benefit was consistent across age groups, chest pain types, and genders.
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Affiliation(s)
- Mahmoud Mohamed
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Maria Bosserdt
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Viktoria Wieske
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Benjamin Dubourg
- Radiology Department, Clinique Saint Augustin, 112-114 avenue d'Arès, 33000, Bordeaux, France
| | - Hatem Alkadhi
- Diagnostic and Interventional, Radiology University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Mario J Garcia
- Department of Cardiology, Montefiore, University Hospital for the Albert Einstein College of Medicine, New York City, NY, USA
| | - Sebastian Leschka
- Department of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Elke Zimmermann
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Abbas A Shabestari
- Department of Radiology, Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus Universtity Hospital, Aarhus, Denmark
| | - Matthijs F L Meijs
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, Netherlands
| | | | | | - Juhani Knuuti
- Turku University Hospital and University of Turku, Turku, Finland
| | | | | | - Yung-Liang Wan
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, 333, Taoyuan City, Taiwan
| | - Nuno Bettencourt
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal
| | - Eugenio Martuscelli
- Department of Internal Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Hans Mickley
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Kai Sun
- Department of Radiology, Baotou Central Hospital, Inner Mongolia Province, Baotou, China
| | | | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | | | | | - Georg M Schütz
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Laule
- Department of Cardiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Stephan Achenbach
- Department of Cardiology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Matthew Budoff
- Department of Cardiology, Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | - Robert Haase
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Federico Biavati
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Berlin Institute of Health, 10117, Berlin, Germany.
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Diller GP, Gerwing M, Boroni Grazioli S, De-Torres-Alba F, Radke RM, Vormbrock J, Baumgartner H, Kaleschke G, Orwat S. Utility of Coronary Computed Tomography Angiography in Patients Undergoing Transcatheter Aortic Valve Implantation: A Meta-Analysis and Meta-Regression Based on Published Data from 7458 Patients. J Clin Med 2024; 13:631. [PMID: 38276138 PMCID: PMC10816478 DOI: 10.3390/jcm13020631] [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: 12/28/2023] [Revised: 01/12/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Coronary CT angiography (CCTA) may detect coronary artery disease (CAD) in transcatheter aortic valve implantation (TAVI) patients and may obviate invasive coronary angiography (ICA) in selected patients. We assessed the diagnostic accuracy of CCTA for detecting CAD in TAVI patients based on published data. METHODS Meta-analysis and meta-regression were performed based on a comprehensive electronic search, including relevant studies assessing the diagnostic accuracy of CCTA in the setting of TAVI patients compared to ICA. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), were calculated on a patient and per segment level. RESULTS Overall, 27 studies (total of 7458 patients) were included. On the patient level, the CCTA's pooled sensitivity and NPV were 95% (95% CI: 93-97%) and 97% (95% CI: 95-98%), respectively, while the specificity and PPV were at 73% (95% CI: 62-82%) and 64% (95% CI: 57-71%), respectively. On the segmental coronary vessel level, the sensitivity and NPV were 90% (95% CI: 79-96%) and 98% (95% CI: 97-99%). CONCLUSIONS This meta-analysis highlights CCTA's potential as a first-line diagnostic tool although its limited PPV and specificity may pose challenges when interpreting heavily calcified arteries. This study underscores the need for further research and protocol standardization in this area.
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Affiliation(s)
- Gerhard-Paul Diller
- Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany (G.K.); (S.O.)
| | - Mirjam Gerwing
- Clinic of Radiology, University Hospital Muenster, 48149 Muenster, Germany
| | - Simona Boroni Grazioli
- Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany (G.K.); (S.O.)
| | - Fernando De-Torres-Alba
- Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany (G.K.); (S.O.)
| | - Robert M. Radke
- Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany (G.K.); (S.O.)
| | - Julia Vormbrock
- Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany (G.K.); (S.O.)
| | - Helmut Baumgartner
- Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany (G.K.); (S.O.)
| | - Gerrit Kaleschke
- Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany (G.K.); (S.O.)
| | - Stefan Orwat
- Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany (G.K.); (S.O.)
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4
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Wieske V, Walther M, Dubourg B, Alkadhi H, Nørgaard BL, Meijs MFL, Diederichsen ACP, Wan YL, Mickley H, Nikolaou K, Shabestari AA, Halvorsen BA, Martuscelli E, Sun K, Herzog BA, Marcus RP, Leschka S, Garcia MJ, Ovrehus KA, Knuuti J, Mendoza-Rodriguez V, Bettencourt N, Muraglia S, Buechel RR, Kaufmann PA, Zimmermann E, Tardif JC, Budoff MJ, Schlattmann P, Dewey M. Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium. Eur Radiol 2022; 32:5233-5245. [PMID: 35267094 PMCID: PMC9279219 DOI: 10.1007/s00330-022-08619-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/05/2022] [Accepted: 01/28/2022] [Indexed: 11/29/2022]
Abstract
Objectives There is conflicting evidence about the comparative diagnostic accuracy of the Agatston score versus computed tomography angiography (CTA) in patients with suspected obstructive coronary artery disease (CAD). Purpose To determine whether CTA is superior to the Agatston score in the diagnosis of CAD. Methods In total 2452 patients with stable chest pain and a clinical indication for invasive coronary angiography (ICA) for suspected CAD were included by the Collaborative Meta-analysis of Cardiac CT (COME-CCT) Consortium. An Agatston score of > 400 was considered positive, and obstructive CAD defined as at least 50% coronary diameter stenosis on ICA was used as the reference standard. Results Obstructive CAD was diagnosed in 44.9% of patients (1100/2452). The median Agatston score was 74. Diagnostic accuracy of CTA for the detection of obstructive CAD (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) was significantly higher than that of the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). Among patients with an Agatston score of zero, 17% (101/600) had obstructive CAD. Diagnostic accuracy of CTA was not significantly different in patients with low to intermediate (1 to < 100, 100–400) versus moderate to high Agatston scores (401–1000, > 1000). Conclusions Results in our international cohort show CTA to have significantly higher diagnostic accuracy than the Agatston score in patients with stable chest pain, suspected CAD, and a clinical indication for ICA. Diagnostic performance of CTA is not affected by a higher Agatston score while an Agatston score of zero does not reliably exclude obstructive CAD. Key Points • CTA showed significantly higher diagnostic accuracy (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) for diagnosis of coronary artery disease when compared to the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). • Diagnostic performance of CTA was not affected by increased amount of calcium and was not significantly different in patients with low to intermediate (1 to <100, 100–400) versus moderate to high Agatston scores (401–1000, > 1000). • Seventeen percent of patients with an Agatston score of zero showed obstructive coronary artery disease by invasive angiography showing absence of coronary artery calcium cannot reliably exclude coronary artery disease. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-022-08619-4.
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Affiliation(s)
- Viktoria Wieske
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Mario Walther
- Department of Fundamental Sciences, Jena University of Applied Sciences, Jena, Germany
| | - Benjamin Dubourg
- Cardiac Imaging Unit, Department of Radiology, Rouen University Hospital, Rouen, France
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Matthijs F L Meijs
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, Netherlands
| | | | - Yung-Liang Wan
- Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Chang Gung Memorial Hospital at Linkou, Taoyaun City, Taiwan
| | - Hans Mickley
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
| | - Abbas A Shabestari
- Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Eugenio Martuscelli
- Department of Internal Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Kai Sun
- Department of Radiology, Baotou Central Hospital, Baotou, Inner Mongolia Province, China
| | | | - Roy P Marcus
- Cantonal Hospital of Lucerne, Lucerne, Switzerland
| | - Sebastian Leschka
- Department of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Mario J Garcia
- Department of Cardiology, Montefiore, University Hospital for the Albert Einstein College of Medicine, New York, NY, USA
| | | | - Juhani Knuuti
- Turku University Hospital and University of Turku, Turku, Finland
| | | | - Nuno Bettencourt
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal
| | | | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Elke Zimmermann
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | | | | | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
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5
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Patel N, Li D, Nakanishi R, Fatima B, Andreini D, Pontone G, Conte E, O'Rourke R, Jayawardena E, Hamilton-Craig C, Nimmagadda M, Budoff MJ. Comparison of Whole Heart Computed Tomography Scanners for Image Quality Lower Radiation Dosing in Coronary Computed Tomography Angiography: The CONVERGE Registry. Acad Radiol 2019; 26:1443-1449. [PMID: 30683612 DOI: 10.1016/j.acra.2019.01.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 12/31/2018] [Accepted: 01/02/2019] [Indexed: 11/30/2022]
Abstract
RATIONALE AND OBJECTIVES Novel technology in coronary computed tomographic angiography allows assessment of coronary artery disease with high image quality (IQ). There are currently two wide detector "whole heart" coverage scanners available, which avoid misregistration artifacts. However, there are no data directly comparing IQ between the two scanners. The aim of the current study is to investigate if IQ is different between the most scanners of GE and Toshiba broad detector scanners. MATERIALS AND METHODS Prospective, observational, multicenter international cohort study comparing 236 consecutive patients who underwent coronary computed tomographic angiography using whole-heart scanners; 126 patients on scanner S1 ( Aquilion ONE Vision, Toshiba), and 110 patients on scanner S2 (Revolution CT, GE Healthcare). Hounsfield units were measured using regions of interest in the descending aorta at 6 points (cranial slice, level of the visualized first, second, third, and fourth spines, and the caudal slice). We also compared the coverage length (z-axis) of the full width field of view between a single rotation of the two scanners. RESULTS Evaluating mean CT attenuation values Hounsfield units through the scan range, are progressively reduced across the descending aorta in the S1 group, resulting in the larger difference of contrast brightness between the cranial and caudal slices compared to the S2 group (absolute difference: S2 13.0 ± 4.4 vs S1 141.9 ± 16.4, p < 0.0001; Percent difference: 19.3 ± 2.1 vs -3.4 ± 1.2, <0.0001). The standard deviation (SD) is similar at the cranial slice between the two scanners, however, the S1 group demonstrated higher SD-differential from cranial to caudal than S2 group. Median radiation exposure was significantly lower for the S2 scanner 1.50 ± 0.75 mSv vs the S1 system 1.9 mSv (IQR 1.7-2.7 mSv) (p = 0.01). Z-axis coverage was larger for the S2 scanner 152.5 mm (244 slices × 0.625 mm/slice) than 133 mm for S1 (266 slices × 0.5 mm/slice). CONCLUSION Although both "volume" scanners cover the whole heart z-axis with one beat, scans using the S1 scanner have a larger variability in attenuation values throughout the scan range, resulting in 20% increase in nonuniformity from cranial to caudal slice. Additionally, SD variation across the field of view, a metric of noise, is larger when using the S1 scanner vs the S2 scanner. These results indicate that the GE Revolution CT has more uniform contrast enhancement and more coverage, lower radiation and lower image noise compared to the Toshiba Aquilion ONE Vision system.
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Affiliation(s)
- Nirali Patel
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA
| | - Dong Li
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA
| | - Rine Nakanishi
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA; Department of Cardiovascular Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Badiha Fatima
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA
| | - Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Italy
| | | | | | - Rachael O'Rourke
- Department of Medical Imaging, The Prince Charles Hospital, Brisbane, Queensland Australia; University of Queensland, Brisbane, Queensland, Australia
| | - Eranthi Jayawardena
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA
| | - Christian Hamilton-Craig
- Department of Medical Imaging, The Prince Charles Hospital, Brisbane, Queensland Australia; University of Queensland, Brisbane, Queensland, Australia
| | - Manojna Nimmagadda
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA
| | - Matthew J Budoff
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA.
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6
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Haase R, Schlattmann P, Gueret P, Andreini D, Pontone G, Alkadhi H, Hausleiter J, Garcia MJ, Leschka S, Meijboom WB, Zimmermann E, Gerber B, Schoepf UJ, Shabestari AA, Nørgaard BL, Meijs MFL, Sato A, Ovrehus KA, Diederichsen ACP, Jenkins SMM, Knuuti J, Hamdan A, Halvorsen BA, Mendoza-Rodriguez V, Rochitte CE, Rixe J, Wan YL, Langer C, Bettencourt N, Martuscelli E, Ghostine S, Buechel RR, Nikolaou K, Mickley H, Yang L, Zhang Z, Chen MY, Halon DA, Rief M, Sun K, Hirt-Moch B, Niinuma H, Marcus RP, Muraglia S, Jakamy R, Chow BJ, Kaufmann PA, Tardif JC, Nomura C, Kofoed KF, Laissy JP, Arbab-Zadeh A, Kitagawa K, Laham R, Jinzaki M, Hoe J, Rybicki FJ, Scholte A, Paul N, Tan SY, Yoshioka K, Röhle R, Schuetz GM, Schueler S, Coenen MH, Wieske V, Achenbach S, Budoff MJ, Laule M, Newby DE, Dewey M. Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data. BMJ 2019; 365:l1945. [PMID: 31189617 PMCID: PMC6561308 DOI: 10.1136/bmj.l1945] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To determine whether coronary computed tomography angiography (CTA) should be performed in patients with any clinical probability of coronary artery disease (CAD), and whether the diagnostic performance differs between subgroups of patients. DESIGN Prospectively designed meta-analysis of individual patient data from prospective diagnostic accuracy studies. DATA SOURCES Medline, Embase, and Web of Science for published studies. Unpublished studies were identified via direct contact with participating investigators. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Prospective diagnostic accuracy studies that compared coronary CTA with coronary angiography as the reference standard, using at least a 50% diameter reduction as a cutoff value for obstructive CAD. All patients needed to have a clinical indication for coronary angiography due to suspected CAD, and both tests had to be performed in all patients. Results had to be provided using 2×2 or 3×2 cross tabulations for the comparison of CTA with coronary angiography. Primary outcomes were the positive and negative predictive values of CTA as a function of clinical pretest probability of obstructive CAD, analysed by a generalised linear mixed model; calculations were performed including and excluding non-diagnostic CTA results. The no-treat/treat threshold model was used to determine the range of appropriate pretest probabilities for CTA. The threshold model was based on obtained post-test probabilities of less than 15% in case of negative CTA and above 50% in case of positive CTA. Sex, angina pectoris type, age, and number of computed tomography detector rows were used as clinical variables to analyse the diagnostic performance in relevant subgroups. RESULTS Individual patient data from 5332 patients from 65 prospective diagnostic accuracy studies were retrieved. For a pretest probability range of 7-67%, the treat threshold of more than 50% and the no-treat threshold of less than 15% post-test probability were obtained using CTA. At a pretest probability of 7%, the positive predictive value of CTA was 50.9% (95% confidence interval 43.3% to 57.7%) and the negative predictive value of CTA was 97.8% (96.4% to 98.7%); corresponding values at a pretest probability of 67% were 82.7% (78.3% to 86.2%) and 85.0% (80.2% to 88.9%), respectively. The overall sensitivity of CTA was 95.2% (92.6% to 96.9%) and the specificity was 79.2% (74.9% to 82.9%). CTA using more than 64 detector rows was associated with a higher empirical sensitivity than CTA using up to 64 rows (93.4% v 86.5%, P=0.002) and specificity (84.4% v 72.6%, P<0.001). The area under the receiver-operating-characteristic curve for CTA was 0.897 (0.889 to 0.906), and the diagnostic performance of CTA was slightly lower in women than in with men (area under the curve 0.874 (0.858 to 0.890) v 0.907 (0.897 to 0.916), P<0.001). The diagnostic performance of CTA was slightly lower in patients older than 75 (0.864 (0.834 to 0.894), P=0.018 v all other age groups) and was not significantly influenced by angina pectoris type (typical angina 0.895 (0.873 to 0.917), atypical angina 0.898 (0.884 to 0.913), non-anginal chest pain 0.884 (0.870 to 0.899), other chest discomfort 0.915 (0.897 to 0.934)). CONCLUSIONS In a no-treat/treat threshold model, the diagnosis of obstructive CAD using coronary CTA in patients with stable chest pain was most accurate when the clinical pretest probability was between 7% and 67%. Performance of CTA was not influenced by the angina pectoris type and was slightly higher in men and lower in older patients. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42012002780.
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Affiliation(s)
- Robert Haase
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Pascal Gueret
- Department of Cardiology, Henri Mondor Hospital, University Paris Est Créteil, Créteil, France
| | - Daniele Andreini
- Department of Cardiology and Radiology, Centro Cardiologico Monzino IRCCS, University of Milan, Milan, Italy
| | | | - Hatem Alkadhi
- Department of Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Jörg Hausleiter
- Medizinische Klinik und Poliklinik I, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Mario J Garcia
- Department of Cardiology, Montefiore, University Hospital for the Albert Einstein College of Medicine, NY, USA
| | - Sebastian Leschka
- Department of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Willem B Meijboom
- Department of Cardiology, Erasmus University Medical Centre, Rotterdam, Netherlands
| | - Elke Zimmermann
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Bernhard Gerber
- Department of Cardiology, Clinique Universitaire St Luc, Institut de Recherche Clinique et Expérimentale, Brussels, Belgium
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Abbas A Shabestari
- Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus Universtity Hostipal, Aarhus, Denmark
| | - Matthijs F L Meijs
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Akira Sato
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | | | - Axel C P Diederichsen
- Department of Cardiology, Glasgow Royal Infirmary and Stobhill Hospital, Glasgow, UK
| | - Shona M M Jenkins
- Department of Cardiology, Glasgow Royal Infirmary and Stobhill Hospital, Glasgow, UK
| | - Juhani Knuuti
- Turku University Hospital and University of Turku, Turku, Finland
| | - Ashraf Hamdan
- Department of Cardiovascular Imaging, Department of Cardiology, Rabin Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | | | | | - Carlos E Rochitte
- Heart Institute, InCor, University of São Paulo Medical School, São Paulo, Brazil
| | - Johannes Rixe
- Department of Cardiology, Kerckhoff Heart Centre, Bad Nauheim, Germany
| | - Yung Liang Wan
- Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Chang Gung Memorial Hospital at Linkou, Taoyaun City, Taiwan
| | - Christoph Langer
- Heart and Diabetes Center NRW in Bad Oeynhausen, University Clinic of the Ruhr-University Bochum, Bochum, Germany
| | - Nuno Bettencourt
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal
| | - Eugenio Martuscelli
- Department of Internal Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Said Ghostine
- Department of Cardiology, Centre Chirurgical Marie Lannelongue, Le Plessis Robinson, France
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
| | - Hans Mickley
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Lin Yang
- Department of Radiology, Beijing Anzhen Hospital, Beijing, China
| | - Zhaqoi Zhang
- Department of Radiology, Beijing Anzhen Hospital, Beijing, China
| | - Marcus Y Chen
- National Heart and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - David A Halon
- Cardiovascular Clinical Research Unit, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Matthias Rief
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Kai Sun
- Department of Radiology, Baotou Central Hospital, Inner Mongolia Province, China
| | - Beatrice Hirt-Moch
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
| | | | - Roy P Marcus
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | | | - Réda Jakamy
- Department of Cardiology, University Hospital Pitié-Salpêtrière, Paris, France
| | - Benjamin J Chow
- University of Ottawa, Heart Institute, Ottawa, Ontario, Canada
| | - Philipp A Kaufmann
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
| | | | | | - Klaus F Kofoed
- The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jean-Pierre Laissy
- Department of Diagnostic Imaging and Interventional Radiology, Bichat University Hospital, Paris, France
| | - Armin Arbab-Zadeh
- Division of Cardiology, Johns Hopkins Hospital, Johns Hopkins University, Baltimore, MD, USA
| | | | - Roger Laham
- BIDMC/Harvard Medical School, Department of Cardiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, MA, USA
| | | | - John Hoe
- Department of Radiology, Mount Elizabeth Hospital, Singapore
| | - Frank J Rybicki
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Arthur Scholte
- Department of Cardiology, Leiden University Medical Centre, Leiden, Netherlands
| | - Narinder Paul
- Department of Medical Imaging, Western University, London, Ontario, Canada
| | - Swee Y Tan
- National Heart Centre, Singapore, Singapore
| | | | - Robert Röhle
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Georg M Schuetz
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Sabine Schueler
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Maria H Coenen
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Viktoria Wieske
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Stephan Achenbach
- Department of Cardiology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | | | - Michael Laule
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - David E Newby
- British Heart Foundation, University of Edinburgh, Edinburgh, UK
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
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7
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Roehle R, Wieske V, Schuetz GM, Gueret P, Andreini D, Meijboom WB, Pontone G, Garcia M, Alkadhi H, Honoris L, Hausleiter J, Bettencourt N, Zimmermann E, Leschka S, Gerber B, Rochitte C, Schoepf UJ, Shabestari AA, Nørgaard B, Sato A, Knuuti J, Meijs MFL, Brodoefel H, Jenkins SMM, Øvrehus KA, Diederichsen ACP, Hamdan A, Halvorsen BA, Mendoza Rodriguez V, Wan YL, Rixe J, Sheikh M, Langer C, Ghostine S, Martuscelli E, Niinuma H, Scholte A, Nikolaou K, Ulimoen G, Zhang Z, Mickley H, Nieman K, Kaufmann PA, Buechel RR, Herzog BA, Clouse M, Halon DA, Leipsic J, Bush D, Jakamy R, Sun K, Yang L, Johnson T, Laissy JP, Marcus R, Muraglia S, Tardif JC, Chow B, Paul N, Maintz D, Hoe J, de Roos A, Haase R, Laule M, Schlattmann P, Dewey M. Applicability and accuracy of pretest probability calculations implemented in the NICE clinical guideline for decision making about imaging in patients with chest pain of recent onset. Eur Radiol 2018; 28:4006-4017. [PMID: 29556770 DOI: 10.1007/s00330-018-5322-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 12/13/2017] [Accepted: 01/10/2018] [Indexed: 01/18/2023]
Abstract
OBJECTIVES To analyse the implementation, applicability and accuracy of the pretest probability calculation provided by NICE clinical guideline 95 for decision making about imaging in patients with chest pain of recent onset. METHODS The definitions for pretest probability calculation in the original Duke clinical score and the NICE guideline were compared. We also calculated the agreement and disagreement in pretest probability and the resulting imaging and management groups based on individual patient data from the Collaborative Meta-Analysis of Cardiac CT (CoMe-CCT). RESULTS 4,673 individual patient data from the CoMe-CCT Consortium were analysed. Major differences in definitions in the Duke clinical score and NICE guideline were found for the predictors age and number of risk factors. Pretest probability calculation using guideline criteria was only possible for 30.8 % (1,439/4,673) of patients despite availability of all required data due to ambiguity in guideline definitions for risk factors and age groups. Agreement regarding patient management groups was found in only 70 % (366/523) of patients in whom pretest probability calculation was possible according to both models. CONCLUSIONS Our results suggest that pretest probability calculation for clinical decision making about cardiac imaging as implemented in the NICE clinical guideline for patients has relevant limitations. KEY POINTS • Duke clinical score is not implemented correctly in NICE guideline 95. • Pretest probability assessment in NICE guideline 95 is impossible for most patients. • Improved clinical decision making requires accurate pretest probability calculation. • These refinements are essential for appropriate use of cardiac CT.
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Affiliation(s)
- Robert Roehle
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Viktoria Wieske
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Georg M Schuetz
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Pascal Gueret
- Cardiology Department, Henri Mondor Hospital, University Paris Est Creteil, Créteil, France
| | - Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy.,Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | | | | | - Mario Garcia
- Montefiore, the University Hospital for the Albert Einstein College of Medicine, New York City, NY, USA
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | | | - Jörg Hausleiter
- Medizinische Klinik und Poliklinik I, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Nuno Bettencourt
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia/Espinho, Gaia, Portugal
| | - Elke Zimmermann
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Sebastian Leschka
- Department of Radiology and Nuclear Medicine Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Bernhard Gerber
- Division of Cardiology, Cardiovascular Center, Cliniques Universitaires St. Luc, Institut de Recherche Clinique et Experimentale, Brussels, Belgium
| | - Carlos Rochitte
- Heart Institute - InCor - University of São Paulo Medical School, São Paulo, Brazil
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Abbas Arjmand Shabestari
- Department of Radiology, Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Bjarne Nørgaard
- Department Cardiology B, Aarhus University Hospital Skejby, Aarhus, Denmark
| | - Akira Sato
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Juhani Knuuti
- Turku University Hospital and University of Turku, Turku, Finland
| | - Matthijs F L Meijs
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Harald Brodoefel
- Department of Radiology, University of Regensburg, Regensburg, Germany
| | | | - Kristian Altern Øvrehus
- Department of Cardiology, Odense University Hospital, Odense, Denmark.,Department of Cardiology Lillebælt Hospital -Vejle, Vejle, Denmark
| | | | - Ashraf Hamdan
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany.,Heart Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | | | - Yung Liang Wan
- Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Johannes Rixe
- Medizinische Klinik I (Kardiologie, Angiologie), Universitätsklinikum Giessen und Marburg GmbH, Giessen, Germany
| | - Mehraj Sheikh
- Department of Radiology, Faculty of Medicine, Kuwait University, Kuwait City, Kuwait.,Mubarak Al Kabeer Hospital, Jabriya, Kuwait
| | - Christoph Langer
- Klinik für Innere Medizin III mit Schwerpunkt Kardiologie und Angiologie, UKSH, Kiel, Germany.,Kardiologische Klinik, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Bad Oeynhausen, Germany
| | - Said Ghostine
- Cardiologie diagnostique et interventionnelle, Centre Chirurgical Marie Lannelongue, Le Plessis Robinson, France
| | - Eugenio Martuscelli
- Department of Internal Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Hiroyuki Niinuma
- Department of Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Arthur Scholte
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | | | - Zhaoqi Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hans Mickley
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Koen Nieman
- Department of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Ronny Ralf Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Bernhard A Herzog
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Melvin Clouse
- Department of Radiology, Beth Israel Deaconess, Harvard University, Boston, MA, USA
| | - David A Halon
- Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center, Haifa, Israel.,Ruth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel
| | - Jonathan Leipsic
- Department of Radiology and Division of Cardiology UBC, St Paul's Hospital, Vancouver, Canada
| | - David Bush
- Department of Cardiology, Johns Hopkins University, Baltimore, MD, USA.,Department of Cardiology, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA
| | - Reda Jakamy
- Department of Interventional Cardiology, University Hospital Cochin, Paris, France
| | - Kai Sun
- Department of Radiology, Baotou Central Hospital, Baotou Shi, Inner Mongolia Province, China
| | - Lin Yang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Thorsten Johnson
- Department of Clinical Radiology, Hospital Grosshadern of the University of Munich, Munich, Germany
| | - Jean-Pierre Laissy
- Department of Diagnostic Imaging and Interventional Radiology, Bichat University Hospital, Paris, France
| | - Roy Marcus
- Department of Clinical Radiology, Munich, Ludwig-Maximilians-University of Munich, Munich, Germany
| | | | - Jean-Claude Tardif
- Research Center Montreal Heart Institute, Université de Montréal, Montréal, Canada
| | - Benjamin Chow
- University of Ottawa, Heart Institute, Ottawa, Canada
| | - Narinder Paul
- Joint Department of Medical Imaging, University Health Network, Mount Sinai and Women's College Hospitals, Toronto, Canada.,University of Toronto, Toronto, Canada
| | - David Maintz
- Institute and Polyclinic for Diagnostic Radiology, University of Cologne, Cologne, Germany
| | - John Hoe
- Department of Diagnostic Radiology, Mt Elizabeth Hospital, Singapore, Singapore
| | - Albert de Roos
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Robert Haase
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Michael Laule
- Department of Cardiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany
| | - Peter Schlattmann
- Department of Medical Statistics, Informatics and Documentation, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany.
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Computed tomography versus invasive coronary angiography: design and methods of the pragmatic randomised multicentre DISCHARGE trial. Eur Radiol 2016; 27:2957-2968. [PMID: 27864607 DOI: 10.1007/s00330-016-4620-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 09/07/2016] [Accepted: 09/26/2016] [Indexed: 01/10/2023]
Abstract
OBJECTIVES More than 3.5 million invasive coronary angiographies (ICA) are performed in Europe annually. Approximately 2 million of these invasive procedures might be reduced by noninvasive tests because no coronary intervention is performed. Computed tomography (CT) is the most accurate noninvasive test for detection and exclusion of coronary artery disease (CAD). To investigate the comparative effectiveness of CT and ICA, we designed the European pragmatic multicentre DISCHARGE trial funded by the 7th Framework Programme of the European Union (EC-GA 603266). METHODS In this trial, patients with a low-to-intermediate pretest probability (10-60 %) of suspected CAD and a clinical indication for ICA because of stable chest pain will be randomised in a 1-to-1 ratio to CT or ICA. CT and ICA findings guide subsequent management decisions by the local heart teams according to current evidence and European guidelines. RESULTS Major adverse cardiovascular events (MACE) defined as cardiovascular death, myocardial infarction and stroke as a composite endpoint will be the primary outcome measure. Secondary and other outcomes include cost-effectiveness, radiation exposure, health-related quality of life (HRQoL), socioeconomic status, lifestyle, adverse events related to CT/ICA, and gender differences. CONCLUSIONS The DISCHARGE trial will assess the comparative effectiveness of CT and ICA. KEY POINTS • Coronary artery disease (CAD) is a major cause of morbidity and mortality. • Invasive coronary angiography (ICA) is the reference standard for detection of CAD. • Noninvasive computed tomography angiography excludes CAD with high sensitivity. • CT may effectively reduce the approximately 2 million negative ICAs in Europe. • DISCHARGE addresses this hypothesis in patients with low-to-intermediate pretest probability for CAD.
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Dewey M, Schlattmann P. Investigating Patients for CAD Before Cardiac Valve Surgery: Is CT Angiography Enough? JACC Cardiovasc Imaging 2016; 9:1071-1073. [PMID: 27344414 DOI: 10.1016/j.jcmg.2015.11.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 11/12/2015] [Indexed: 11/26/2022]
Affiliation(s)
- Marc Dewey
- Department of Radiology, Charité Universitätsmedizin, Berlin, Germany.
| | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
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10
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Rief M, Feger S, Martus P, Laule M, Dewey M, Schönenberger E. Acceptance of Combined Coronary CT Angiography and Myocardial CT Perfusion versus Conventional Coronary Angiography in Patients with Coronary Stents--Intraindividual Comparison. PLoS One 2015; 10:e0136737. [PMID: 26327127 PMCID: PMC4556695 DOI: 10.1371/journal.pone.0136737] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Accepted: 08/03/2015] [Indexed: 11/19/2022] Open
Abstract
Objectives To evaluate how well patients with coronary stents accept combined coronary computed tomography angiography (CTA) and myocardial CT perfusion (CTP) compared with conventional coronary angiography (CCA). Background While combined CTA and CTP may improve diagnostic accuracy compared with CTA alone, patient acceptance of CTA/CTP remains to be defined. Methods A total of 90 patients with coronary stents prospectively underwent CTA/CTP (both with contrast agent, CTP with adenosine) and CCA as part of the CARS-320 study. In this group, an intraindividual comparison of patient acceptance of CTA, CTP, and CCA was performed. Results CTP was experienced to be significantly more painful than CTA (p<0.001) and was associated with a higher frequency of dyspnea (p<0.001). Comparison of CTA/CTP with CCA revealed no significant differences in terms of pain (p = 0.141) and comfort (p = 0.377). Concern before CTA/CTP and CCA and overall satisfaction were likewise not significantly different (p = 0.097 and p = 0.123, respectively). Nevertheless, about two thirds (n = 60, 68%) preferred CTA/CTP to CCA (p<0.001). Moreover, patients felt less helpless during CTA/CTP than during CCA (p = 0.026). Lack of invasiveness and absence of pain were the most frequently mentioned advantages of CTA/CTP over CCA in our patient population. Conclusions CCA and combined CTA/CTP are equally well accepted by patients; however, more patients prefer CTA/CTP. CTP was associated with more intense pain than CTA and more frequently caused dyspnea than CTA alone. Trial Registration ClinicalTrials.gov NCT00967876
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Affiliation(s)
- Matthias Rief
- Department of Radiology, Charité, Medical School, Berlin, Germany
| | - Sarah Feger
- Department of Radiology, Charité, Medical School, Berlin, Germany
| | - Peter Martus
- Institute for Clinical Epidemiology and Applied Biostatistics, Eberhard Karls University Tübingen, Germany
| | - Michael Laule
- Department of Cardiology, Charité, Medical School, Berlin, Germany
| | - Marc Dewey
- Department of Radiology, Charité, Medical School, Berlin, Germany
- * E-mail:
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11
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Liu H, Zhou J, Feng QL, Gu HT, Wan G, Zhang HM, Xie YJ, Li XS. Fetal echocardiography for congenital heart disease diagnosis: a meta-analysis, power analysis and missing data analysis. Eur J Prev Cardiol 2014; 22:1531-47. [DOI: 10.1177/2047487314551547] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Accepted: 08/26/2014] [Indexed: 12/18/2022]
Affiliation(s)
- Hong Liu
- Department of Cardiothoracic Surgery, First Affiliated Hospital of Nanjing Medical University, PR China
- Collaborative Group of Congenital Heart Disease, Department of Pediatric Cardiology, Jiangsu Women’s and Children’s Health of Nanjing Medical University, PR China
- Research Institute of Heart, Lung and Blood Vessel Diseases, Jiangsu Provincial Academy of Clinical Medicine, PR China
| | - Jie Zhou
- Study Group of Echocardiography, Department of Sonographic Diagnostic Medicine, First Affiliated Hospital of Nanjing Medical University, PR China
| | - Qiao-Ling Feng
- Key Laboratory of Diagnostic Medicine of Education Ministry, Institute of Laboratory Medicine, Chongqing Medical University, PR China
| | - Hai-Tao Gu
- Department of Cardiothoracic Surgery, First Affiliated Hospital of Nanjing Medical University, PR China
- Collaborative Group of Congenital Heart Disease, Department of Pediatric Cardiology, Jiangsu Women’s and Children’s Health of Nanjing Medical University, PR China
- Research Institute of Heart, Lung and Blood Vessel Diseases, Jiangsu Provincial Academy of Clinical Medicine, PR China
| | - Gang Wan
- Department of Radiology, General Clinical Center for Radiation Oncology, Affiliated Cancer Hospital of Guangxi Medical University, PR China
| | - Huo-Ming Zhang
- Institute of Fluid Measurement and Simulation, Department of Mechanics, College of Metrology & Measurement Engineering, China Jiliang University, PR China
| | - Yong-Jun Xie
- National Experimental Center for Medical Simulation of China, Laboratory of Anthropotomy & Histo-Embryology, School of Basic Medical Sciences, Chengdu Medical College, PR China
| | - Xiao-Song Li
- Department of Health Statistics, National Center for Chinese Clinical Trial Register, School of Public Health, Sichuan University Western China School of Medicine, PR China
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12
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Korosoglou G, Giusca S, Gitsioudis G, Erbel C, Katus HA. Cardiac magnetic resonance and computed tomography angiography for clinical imaging of stable coronary artery disease. Diagnostic classification and risk stratification. Front Physiol 2014; 5:291. [PMID: 25147526 PMCID: PMC4123729 DOI: 10.3389/fphys.2014.00291] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2014] [Accepted: 07/18/2014] [Indexed: 12/18/2022] Open
Abstract
Despite advances in the pharmacologic and interventional treatment of coronary artery disease (CAD), atherosclerosis remains the leading cause of death in Western societies. X-ray coronary angiography has been the modality of choice for diagnosing the presence and extent of CAD. However, this technique is invasive and provides limited information on the composition of atherosclerotic plaque. Coronary computed tomography angiography (CCTA) and cardiac magnetic resonance (CMR) have emerged as promising non-invasive techniques for the clinical imaging of CAD. Hereby, CCTA allows for visualization of coronary calcification, lumen narrowing and atherosclerotic plaque composition. In this regard, data from the CONFIRM Registry recently demonstrated that both atherosclerotic plaque burden and lumen narrowing exhibit incremental value for the prediction of future cardiac events. However, due to technical limitations with CCTA, resulting in false positive or negative results in the presence of severe calcification or motion artifacts, this technique cannot entirely replace invasive angiography at the present time. CMR on the other hand, provides accurate assessment of the myocardial function due to its high spatial and temporal resolution and intrinsic blood-to-tissue contrast. Hereby, regional wall motion and perfusion abnormalities, during dobutamine or vasodilator stress, precede the development of ST-segment depression and anginal symptoms enabling the detection of functionally significant CAD. While CT generally offers better spatial resolution, the versatility of CMR can provide information on myocardial function, perfusion, and viability, all without ionizing radiation for the patients. Technical developments with these 2 non-invasive imaging tools and their current implementation in the clinical imaging of CAD will be presented and discussed herein.
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Liu H, Zhou J, Feng QL, Wan G, Xie YJ, Gu HT. Minimally invasive endoscopic staging for mediastinal lymphadenopathy in lung cancer: a systematic review protocol. BMJ Open 2014; 4:e005707. [PMID: 25082423 PMCID: PMC4120311 DOI: 10.1136/bmjopen-2014-005707] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Minimally invasive endoscopic biopsy techniques have been widely available as potential alternatives for mediastinal lesions staging in patients with known or suspected lung cancer. Previous efforts have been made to evaluate the diagnostic performance of specific endoscopic modality alone at the level of the mediastinum for staging lung cancer, however, few studies focus on the accuracy of comparisons between different endoscopic modalities, especially at the level of any individual lymph node station. The objective of our study is to determine the diagnostic yields of different endoscopic modalities for staging mediastinal lymphadenopathy in lung cancer, especially concerning the individual lymph node station. METHODS/DESIGN A systematic electronic search of MEDLINE, EMBASE, SinoMed and ISI Web of Science were performed to identify studies evaluating endoscopic modalities accuracy with restriction of English and Chinese languages from inception to an update until May 2014. Data were extracted with the patient as the unit of analysis with regards to the abilities of different endoscopic modalities at the level of mediastinum and particular lymph node station. The methodological quality was assessed independently according to the Quality Assessment of Diagnostic Accuracy Study (QADAS) criteria. An exact binomial rendition of bivariate mixed-effects regression model was used to estimate the pooled sensitivity and specificity. Also, pre-post probability analysis, publication bias analysis and sensitivity analysis were performed for a synthesis of knowledge of this context. DISSEMINATION The findings will advance our better available knowledge of optimal clinical decision-making when dealing with staging of mediastinal metastasis in lung cancer. TRIAL REGISTRATION NUMBER PROSPERO-NIHR Prospective Register of Systematic Reviews (CRD42014009792).
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Affiliation(s)
- Hong Liu
- Department of Cardiothoracic Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jie Zhou
- Department of Ultrasonography, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiao-ling Feng
- Key Laboratory of Diagnostic Medicine of Education Ministry, Institute of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Gang Wan
- Department of Radiation Oncology, Affiliated Cancer Hospital of Guangxi Medical University, Nanning, China
| | - Yong-jun Xie
- National Center for Medical Simulation of China, Chengdu Medical College, Chengdu, China
- Department of Histo-anatomy, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, China
| | - Hai-tao Gu
- Department of Cardiothoracic Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Schoenhagen P, Dewey M. CT assessment of coronary artery disease: trends and clinical implications. JACC Cardiovasc Imaging 2013; 6:1072-1074. [PMID: 24135321 DOI: 10.1016/j.jcmg.2013.07.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2013] [Revised: 06/18/2013] [Accepted: 07/09/2013] [Indexed: 12/01/2022]
Affiliation(s)
- Paul Schoenhagen
- Cleveland Clinic, Imaging Institute and Heart and Vascular Institute, Cardiovascular Imaging, Cleveland, Ohio.
| | - Marc Dewey
- Department of Radiology, Charité, Berlin, Germany
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15
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Crown years for non-invasive cardiovascular imaging (Part IV): 30 years of cardiac computed tomography. Neth Heart J 2013; 21:315-8. [PMID: 23640578 PMCID: PMC3722385 DOI: 10.1007/s12471-013-0427-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
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