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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. Correction to: 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; 32:8052-8053. [PMID: 35467114 DOI: 10.1007/s00330-022-08760-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Kuneman J, Mahdiui ME, van Rosendael A, Patel M, Norgaard B, Fairbairn T, Nieman K, Akasaka T, Berman D, Koweek L, Pontone G, Kawasaki T, Sand NPR, Jensen J, Amano T, Poon M, Ovrehus KA, Sonck J, Rabbat M, De Bruyne B, Rogers C, Matsuo H, Bax J, Leipsic J, Knuuti J. CORONARY VOLUME TO LEFT VENTRICULAR MASS RATIO DERIVED FROM CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY IN PATIENTS WITH DIABETES MELLITUS. J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)02679-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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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: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Fairbairn TA, Koweek L, Bax JJ, Matsuo H, Norgaard B, Nieman K, Sand NP, Ovrehus KA, Pontone G, Raff G, Rabbat M, Amano T, Kawasaki T, Akasaka T, Kitabata H, Chinnaiyan K, Sonck J, Poon M, De Bruyne B, Rogers C, Patel M, Berman D, Leipsic J. GENDER DIFFERENCES IN CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY DERIVED FRACTIONAL FLOW RESERVE: LESSONS FROM ADVANCE. J Am Coll Cardiol 2019. [DOI: 10.1016/s0735-1097(19)32051-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Schuetz GM, Schlattmann P, Achenbach S, Budoff M, Garcia MJ, Roehle R, Pontone G, Meijboom WB, Andreini D, Alkadhi H, Honoris L, Bettencourt N, Hausleiter J, Leschka S, Gerber BL, Meijs MF, Shabestari AA, Sato A, Zimmermann E, Schoepf UJ, Diederichsen A, Halon DA, Mendoza-Rodriguez V, Hamdan A, Nørgaard BL, Brodoefel H, Ovrehus KA, Jenkins SM, Halvorsen BA, Rixe J, Sheikh M, Langer C, Martuscelli E, Romagnoli A, Scholte AJ, Marcus RP, Ulimoen GR, Nieman K, Mickley H, Nikolaou K, Tardif JC, Johnson TR, Muraglia S, Chow BJ, Maintz D, Laule M, Dewey M. Individual patient data meta-analysis for the clinical assessment of coronary computed tomography angiography: protocol of the Collaborative Meta-Analysis of Cardiac CT (CoMe-CCT). Syst Rev 2013; 2:13. [PMID: 23414575 PMCID: PMC3576350 DOI: 10.1186/2046-4053-2-13] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2012] [Accepted: 01/17/2013] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Coronary computed tomography angiography has become the foremost noninvasive imaging modality of the coronary arteries and is used as an alternative to the reference standard, conventional coronary angiography, for direct visualization and detection of coronary artery stenoses in patients with suspected coronary artery disease. Nevertheless, there is considerable debate regarding the optimal target population to maximize clinical performance and patient benefit. The most obvious indication for noninvasive coronary computed tomography angiography in patients with suspected coronary artery disease would be to reliably exclude significant stenosis and, thus, avoid unnecessary invasive conventional coronary angiography. To do this, a test should have, at clinically appropriate pretest likelihoods, minimal false-negative outcomes resulting in a high negative predictive value. However, little is known about the influence of patient characteristics on the clinical predictive values of coronary computed tomography angiography. Previous regular systematic reviews and meta-analyses had to rely on limited summary patient cohort data offered by primary studies. Performing an individual patient data meta-analysis will enable a much more detailed and powerful analysis and thus increase representativeness and generalizability of the results. The individual patient data meta-analysis is registered with the PROSPERO database (CoMe-CCT, CRD42012002780). METHODS/DESIGN The analysis will include individual patient data from published and unpublished prospective diagnostic accuracy studies comparing coronary computed tomography angiography with conventional coronary angiography. These studies will be identified performing a systematic search in several electronic databases. Corresponding authors will be contacted and asked to provide obligatory and additional data. Risk factors, previous test results and symptoms of individual patients will be used to estimate the pretest likelihood of coronary artery disease. A bivariate random-effects model will be used to calculate pooled mean negative and positive predictive values as well as sensitivity and specificity. The primary outcome of interest will be positive and negative predictive values of coronary computed tomography angiography for the presence of coronary artery disease as a function of pretest likelihood of coronary artery disease, analyzed by meta-regression. As a secondary endpoint, factors that may influence the diagnostic performance and clinical value of computed tomography, such as heart rate and body mass index of patients, number of detector rows, and administration of beta blockade and nitroglycerin, will be investigated by integrating them as further covariates into the bivariate random-effects model. DISCUSSION This collaborative individual patient data meta-analysis should provide answers to the pivotal question of which patients benefit most from noninvasive coronary computed tomography angiography and thus help to adequately select the right patients for this test.
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Affiliation(s)
- Georg M Schuetz
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, Berlin 10117, Germany
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Ovrehus KA, Bøtker HE, Jensen JM, Munkholm H, Johnsen SP, Nørgaard BL. Influence of coronary computed tomographic angiography on patient treatment and prognosis in patients with suspected stable angina pectoris. Am J Cardiol 2011; 107:1473-9. [PMID: 21420047 DOI: 10.1016/j.amjcard.2011.01.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2010] [Revised: 01/14/2011] [Accepted: 01/18/2011] [Indexed: 01/08/2023]
Abstract
We evaluated the influence of coronary computed tomographic angiography (CTA) as a first-line diagnostic test on patient treatment and prognosis. A total of 1,055 consecutive patients with suspected stable angina pectoris (mean age 55 ± 10 years, 56% women) and a low to intermediate pretest likelihood of coronary artery disease (CAD) were included in the present study. The patients were followed for a median of 18 months. The use of downstream diagnostic testing and medical therapy after CTA were recorded. The CTA result was normal in 49%, and nonobstructive and obstructive CAD (≥50% stenosis) was demonstrated in 31% and 15% of the patients, respectively. Coronary CTA was inconclusive in 5% of the patients. The use of antiplatelet therapy decreased with normal findings from CTA, and the use of antiplatelet and lipid-lowering agents increased in patients with CAD. Additional testing was performed in 2% of patients with normal CTA findings and in 7% and 82% of patients with nonobstructive or obstructive CAD, respectively. No patients without CAD, 0.9% of patients with nonobstructive CAD, and 1.9% of patients with obstructive CAD met the primary end point (cardiovascular death and myocardial infarction, p = 0.008). No patients without CAD, 1.5% of patients with nonobstructive CAD, and 30% patients with obstructive CAD met the secondary end point (cardiovascular death, myocardial infarction, and coronary revascularization, p <0.0001). In conclusion, in patients suspected of having angina, the findings from CTA influence patient treatment without resulting in excessive additional testing. Coronary CTA provides important prognostic information, with excellent intermediate-term outcomes in patients with normal CTA findings.
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