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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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Litmanovich D, Hurwitz Koweek LM, Ghoshhajra BB, Agarwal PP, Bourque JM, Brown RKJ, Davis AM, Fuss C, Johri AM, Kligerman SJ, Malik SB, Maroules CD, Meyersohn NM, Vasu S, Villines TC, Abbara S. ACR Appropriateness Criteria® Chronic Chest Pain-High Probability of Coronary Artery Disease: 2021 Update. J Am Coll Radiol 2022; 19:S1-S18. [PMID: 35550795 DOI: 10.1016/j.jacr.2022.02.021] [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: 02/11/2022] [Accepted: 02/19/2022] [Indexed: 10/18/2022]
Abstract
Management of patients with chronic chest pain in the setting of high probability of coronary artery disease (CAD) relies heavily on imaging for determining or excluding presence and severity of myocardial ischemia, hibernation, scarring, and/or the presence, site, and severity of obstructive coronary lesions, as well as course of management and long-term prognosis. In patients with no known ischemic heart disease, imaging is valuable in determining and documenting the presence, extent, and severity of obstructive coronary narrowing and presence of myocardial ischemia. In patients with known ischemic heart disease, imaging findings are important in determining the management of patients with chronic myocardial ischemia and can serve as a decision-making tool for medical therapy, angioplasty, stenting, or surgery. This document summarizes the recent growing body of evidence on various imaging tests and makes recommendations for imaging based on the available data and expert opinion. This document is focused on epicardial CAD and does not discuss the microvascular disease as the cause for CAD. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Diana Litmanovich
- Harvard Medical School, Boston, Massachusetts; and Chief, Cardiothoracic imaging Section, Beth Israel Deaconess Medical Center.
| | - Lynne M Hurwitz Koweek
- Panel Chair, Duke University Medical Center, Durham, North Carolina; Panel Chair ACR AUG committee
| | - Brian B Ghoshhajra
- Panel Vice-Chair, Division Chief, Cardiovascular Imaging, Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Prachi P Agarwal
- Division Director of Cardiothoracic Radiology and Co-Director of Congenital Cardiovascular MR Imaging, University of Michigan, Ann Arbor, Michigan
| | - Jamieson M Bourque
- Medical Director of Nuclear Cardiology and the Stress Laboratory, University of Virginia Health System, Charlottesville, Virginia; Nuclear cardiology expert
| | - Richard K J Brown
- University of Michigan Health System, Ann Arbor, Michigan; and Vice Chair of Clinical Operations, Department of Radiology and Imaging Sciences, University of Utah
| | - Andrew M Davis
- The University of Chicago Medical Center, Chicago, Illinois; American College of Physicians; and Associate Vice-Chair for Quality, Department of Medicine, University of Chicago
| | - Cristina Fuss
- Oregon Health & Science University, Portland, Oregon; SCCT Member of the Board; Section Chief Cardiothoracic Imaging Department of Diagnostic Radiology, Oregon Health & Science University; ABR OLA Cardiac Committee; and NASCI Program Vice-Chair
| | - Amer M Johri
- Queen's University, Kingston, Ontario, Canada; Cardiology Expert; and ASE Board Member
| | | | - Sachin B Malik
- Division Chief Thoracic and Cardiovascular Imaging, Director of Cardiac MRI, Director of MRI, VA Palo Alto Health Care System, Palo Alto, California and Stanford University, Stanford, California
| | | | - Nandini M Meyersohn
- Fellowship Program Director, Massachusetts General Hospital, Boston, Massachusetts
| | - Sujethra Vasu
- Director, Cardiac MRI and Cardiac CT, Wake Forest University Health Sciences, Winston Salem, North Carolina; Society for Cardiovascular Magnetic Resonance
| | - Todd C Villines
- University of Virginia Health Center, Charlottesville, Virginia; Society of Cardiovascular Computed Tomography
| | - Suhny Abbara
- Specialty Chair, UT Southwestern Medical Center, Dallas, Texas
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Lange A, Huntress H, Steindl J, Palka P. Incremental role of CT coronary angiography in the assessment of left ventricular diastolic function. Open Heart 2021; 8:e001566. [PMID: 33741690 PMCID: PMC7986954 DOI: 10.1136/openhrt-2020-001566] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 02/24/2021] [Accepted: 02/24/2021] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE To determine whether Computed Tomography (CT) coronary angiography (CTCA) has clinical value for the assessment of left ventricular (LV) diastolic dysfunction (DD) beyond traditional information on coronary artery anatomy. METHOD In this retrospective study, a consecutive group of 72 patients (mean age 59±13 years)-who met the eligibility criteria of sinus rhythm, no significant valvular abnormalities, and who had transthoracic echocardiogram (TTE)-were analysed. The CTCA was prospectively triggered during diastole. Outcomes of interest were CTCA derived LV and left atrial (LA) volumes, diastolic expansion (DE) index: LV volume÷LA volume and DE fraction (DEF): [(LV volume-LA volume)÷LV volume]×100. TTE-LA volume was measured as maximum, minimum and pre-A. Studied patients were divided according to the current classification of LVDD as a reference standard. A small subgroup of nine patients underwent further invasive cardiac catheterisation. RESULTS CTCA-LV and LA volumes were larger compared with TTE, 37%±20% and 11%±21%, respectively. CTCA-LA volume correlated well with all TTE-LA volumes (maximum: R2=0.58; pre-A wave: R2=0.39; minimum: R2=0.26; p<0.0001) with the smallest differences in maximum LA volume (9±32 mL; mean±2 SD). The DE and DEF correlated with both LA function and LVDD. DE >1.65 and DE <1.40 have good specificity (85% and 88%, respectively), and positive predictive value to differentiate LVDD. DE and DEF were dependent on the patients' age but independent of other variables. CONCLUSIONS CTCA derived diastasis volume indices can provide additional quantifiable information on LVDD.
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Affiliation(s)
- Aleksandra Lange
- Queensland Cardiovascular Group, Wesley Medical Research Limited, St Andrew's War Memorial Hospital, Brisbane, Queensland, Australia
| | - Harry Huntress
- Queensland Cardiovascular Group, Wesley Medical Research Limited, St Andrew's War Memorial Hospital, Brisbane, Queensland, Australia
| | - Jesse Steindl
- Queensland Cardiovascular Group, Wesley Medical Research Limited, St Andrew's War Memorial Hospital, Brisbane, Queensland, Australia
| | - Przemyslaw Palka
- Queensland Cardiovascular Group, Wesley Medical Research Limited, St Andrew's War Memorial Hospital, Brisbane, Queensland, Australia
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Lu Y, Wang T, Zhan R, Wang X, Ruan X, Qi R, Huang S. Effects of epicardial adipose tissue volume and density on cardiac structure and function in patients free of coronary artery disease. Jpn J Radiol 2020; 38:666-675. [PMID: 32193792 DOI: 10.1007/s11604-020-00951-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 03/08/2020] [Indexed: 12/17/2022]
Abstract
PURPOSE To determine the association of epicardial adipose tissue (EAT) volume and density with cardiac geometry and function. METHODS We included 178 consecutive patients who performed coronary computed tomography angiography but were not diagnosed with coronary artery disease (CAD). The EAT volume, density, and following cardiac structure and function parameters were measured: left ventricular ejection fraction, left ventricular mass (LVM), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular stroke volume (LVSV), left ventricular end-diastolic diameter (LVEDD), interventricular septal thickness (IVST) and posterior wall thickness (PWT). All the parameters were standardized using the height2.7. RESULTS A significant correlation was found between larger EAT volume and increased LVM, LVEDV, LVESV, LVSV, LVEDD, IVST and corresponding standardized indexes (P < 0.05 for all). Higher EAT density significantly correlated with increased LVM, LVEDV, LVESV, LVSV, LVEDD, IVST, PWT and corresponding standardized indexes (P < 0.05 for all). The largest cardiac structure and function parameters were observed in the population with above-median EAT volume and density. CONCLUSION Both large EAT volume and high EAT density were associated with cardiac structure and function in patients with no CAD. The EAT density may render complementary information to EAT volume regarding cardiac geometry changes.
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Affiliation(s)
- Yang Lu
- Department of Radiology, The Second Affiliated Hospital of Nantong University, No. 6 HaiErXiang (North) Road, Chongchuan District, Nantong, 226001, Jiangsu, China
| | - Tianle Wang
- Department of Radiology, The Second Affiliated Hospital of Nantong University, No. 6 HaiErXiang (North) Road, Chongchuan District, Nantong, 226001, Jiangsu, China
| | - Rui Zhan
- Department of Radiology, The Second Affiliated Hospital of Nantong University, No. 6 HaiErXiang (North) Road, Chongchuan District, Nantong, 226001, Jiangsu, China
| | - Xiaoyu Wang
- Department of Radiology, The Second Affiliated Hospital of Nantong University, No. 6 HaiErXiang (North) Road, Chongchuan District, Nantong, 226001, Jiangsu, China
| | - Xiwu Ruan
- Department of Radiology, The Second Affiliated Hospital of Nantong University, No. 6 HaiErXiang (North) Road, Chongchuan District, Nantong, 226001, Jiangsu, China
| | - Rongxing Qi
- Department of Radiology, The Second Affiliated Hospital of Nantong University, No. 6 HaiErXiang (North) Road, Chongchuan District, Nantong, 226001, Jiangsu, China.
| | - Sheng Huang
- Department of Radiology, The Second Affiliated Hospital of Nantong University, No. 6 HaiErXiang (North) Road, Chongchuan District, Nantong, 226001, Jiangsu, China.
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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: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/15/2019] [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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Extracardiac findings on coronary computed tomography angiography in patients without significant coronary artery disease. Eur Radiol 2018; 29:1714-1723. [PMID: 30255246 DOI: 10.1007/s00330-018-5688-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 07/09/2018] [Accepted: 07/30/2018] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To analyse extracardiac findings in patients without significant coronary artery disease (CAD) in general and in symptomatic patients in particular. METHODS We searched the Radiology Information System database for coronary computed tomography angiographies (CTA) performed from 2000-2014 and retrospectively enrolled 3,898 patients without significant CAD (coronary stenosis < 50%) in CTA. In 2,330 symptomatic patients, we analysed the spectrum of extracardiac findings and identified pathologies potentially explaining chest pain. Finally, we investigated variables affecting the number of extracardiac findings detected in CTA. RESULTS Overall extracardiac findings were found in 1,177 patients (30.2%; 95%CI, 28.8-31.7%). 94 patients (2.4%; 95%CI, 2.0-2.9%) had extracardiac findings with a recommendation for follow-up, sixteen patients (0.4%; 95%CI, 0.3-0.7%) had incidental urgent, and another three patients (0.1%; 95%CI, 0.1-0.2%) had incidental malignant extracardiac findings. 185 of 2,330 symptomatic patients (7.9%; 95%CI, 6.9-9.1%) revealed extracardiac findings potentially explaining chest pain after exclusion of significant CAD. The number of extracardiac findings increased significantly with patient age (p < 0.001) and the cumulative experience of the CT reader (p < 0.001). CONCLUSION 30.2% of patients undergoing CTA for exclusion of CAD had ECF, and 7.9% of symptomatic patients without significant CAD on their examination had findings that could potentially explain their symptoms. KEY POINTS • Of patients undergoing CTA, 2.8% have relevant incidental extracardiac findings. • CTA could identify the differential diagnosis of chest pain when excluding significant CAD. • Patient age and reader's professional experience influence the number of detected ECFs.
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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: 0.1] [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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8
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Rief M, Chen MY, Vavere AL, Kendziora B, Miller JM, Bandettini WP, Cox C, George RT, Lima J, Di Carli M, Plotkin M, Zimmermann E, Laule M, Schlattmann P, Arai AE, Dewey M. Coronary Artery Disease: Analysis of Diagnostic Performance of CT Perfusion and MR Perfusion Imaging in Comparison with Quantitative Coronary Angiography and SPECT-Multicenter Prospective Trial. Radiology 2017; 286:461-470. [PMID: 28956734 DOI: 10.1148/radiol.2017162447] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Purpose To compare the diagnostic performance of stress myocardial computed tomography (CT) perfusion with that of stress myocardial magnetic resonance (MR) perfusion imaging in the detection of coronary artery disease (CAD). Materials and Methods All patients gave written informed consent prior to inclusion in this institutional review board-approved study. This two-center substudy of the prospective Combined Noninvasive Coronary Angiography and Myocardial Perfusion Imaging Using 320-Detector Row Computed Tomography (CORE320) multicenter trial included 92 patients (mean age, 63.1 years ± 8.1 [standard deviation]; 73% male). All patients underwent perfusion CT and perfusion MR imaging with either adenosine or regadenoson stress. The predefined reference standards were combined quantitative coronary angiography (QCA) and single-photon emission CT (SPECT) or QCA alone. Results from coronary CT angiography were not included, and diagnostic performance was evaluated with the Mantel-Haenszel test stratified by disease status. Results The prevalence of CAD was 39% (36 of 92) according to QCA and SPECT and 64% (59 of 92) according to QCA alone. When compared with QCA and SPECT, per-patient diagnostic accuracy of perfusion CT and perfusion MR imaging was 63% (58 of 92) and 75% (69 of 92), respectively (P = .11); sensitivity was 92% (33 of 36) and 83% (30 of 36), respectively (P = .45); and specificity was 45% (25 of 56) and 70% (39 of 56), respectively (P < .01). When compared with QCA alone, diagnostic accuracy of CT perfusion and MR perfusion imaging was 82% (75 of 92) and 74% (68 of 92), respectively (P = .27); sensitivity was 90% (53 of 59) and 69% (41 of 59), respectively (P < .01); and specificity was 67% (22 of 33) and 82% (27 of 33), respectively (P = .27). Conclusion This multicenter study shows that the diagnostic performance of perfusion CT is similar to that of perfusion MR imaging in the detection of CAD. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Matthias Rief
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Marcus Y Chen
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Andrea L Vavere
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Benjamin Kendziora
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Julie M Miller
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - W Patricia Bandettini
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Christopher Cox
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Richard T George
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - João Lima
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Marcelo Di Carli
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Michail Plotkin
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Elke Zimmermann
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Michael Laule
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Peter Schlattmann
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Andrew E Arai
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Marc Dewey
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
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9
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Akers SR, Panchal V, Ho VB, Beache GM, Brown RK, Ghoshhajra BB, Greenberg SB, Hsu JY, Kicska GA, Min JK, Stillman AE, Stojanovska J, Abbara S, Jacobs JE. ACR Appropriateness Criteria ® Chronic Chest Pain—High Probability of Coronary Artery Disease. J Am Coll Radiol 2017; 14:S71-S80. [DOI: 10.1016/j.jacr.2017.01.034] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 01/18/2017] [Accepted: 01/20/2017] [Indexed: 11/29/2022]
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10
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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: 35] [Impact Index Per Article: 3.9] [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, Rief M, Martus P, Kendziora B, Feger S, Dreger H, Priem S, Knebel F, Böhm M, Schlattmann P, Hamm B, Schönenberger E, Laule M, Zimmermann E. Evaluation of computed tomography in patients with atypical angina or chest pain clinically referred for invasive coronary angiography: randomised controlled trial. BMJ 2016; 355:i5441. [PMID: 27777234 PMCID: PMC5076567 DOI: 10.1136/bmj.i5441] [Citation(s) in RCA: 83] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVE To evaluate whether invasive coronary angiography or computed tomography (CT) should be performed in patients clinically referred for coronary angiography with an intermediate probability of coronary artery disease. DESIGN Prospective randomised single centre trial. SETTING University hospital in Germany. PARTICIPANTS 340 patients with suspected coronary artery disease and a clinical indication for coronary angiography on the basis of atypical angina or chest pain. INTERVENTIONS 168 patients were randomised to CT and 172 to coronary angiography. After randomisation one patient declined CT and 10 patients declined coronary angiography, leaving 167 patients (88 women) and 162 patients (78 women) for analysis. Allocation could not be blinded, but blinded independent investigators assessed outcomes. MAIN OUTCOME MEASURE The primary outcome measure was major procedural complications within 48 hours of the last procedure related to CT or angiography. RESULTS Cardiac CT reduced the need for coronary angiography from 100% to 14% (95% confidence interval 9% to 20%, P<0.001) and was associated with a significantly greater diagnostic yield from coronary angiography: 75% (53% to 90%) v 15% (10% to 22%), P<0.001. Major procedural complications were uncommon (0.3%) and similar across groups. Minor procedural complications were less common in the CT group than in the coronary angiography group: 3.6% (1% to 8%) v 10.5% (6% to 16%), P=0.014. CT shortened the median length of stay in the angiography group from 52.9 hours (interquartile range 49.5-76.4 hours) to 30.0 hours (3.5-77.3 hours, P<0.001). Overall median exposure to radiation was similar between the CT and angiography groups: 5.0 mSv (interquartile range 4.2-8.7 mSv) v 6.4 mSv (3.4-10.7 mSv), P=0.45. After a median follow-up of 3.3 years, major adverse cardiovascular events had occurred in seven of 167 patients in the CT group (4.2%) and six of 162 (3.7%) in the coronary angiography group (adjusted hazard ratio 0.90, 95% confidence interval 0.30 to 2.69, P=0.86). 79% of patients stated that they would prefer CT for subsequent testing. The study was conducted at a University hospital in Germany and thus the performance of CT may be different in routine clinical practice. The prevalence was lower than expected, resulting in an underpowered study for the predefined primary outcome. CONCLUSIONS CT increased the diagnostic yield and was a safe gatekeeper for coronary angiography with no increase in long term events. The length of stay was shortened by 22.9 hours with CT, and patients preferred non-invasive testing.Trial registration ClinicalTrials.gov NCT00844220.
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Affiliation(s)
- Marc Dewey
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Matthias Rief
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Peter Martus
- Institute for Clinical Epidemiology and Applied Biometry, Tübingen, Germany
| | - Benjamin Kendziora
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Sarah Feger
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Henryk Dreger
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Sascha Priem
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Fabian Knebel
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Marko Böhm
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Documentation, Jena, Germany
| | - Bernd Hamm
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Eva Schönenberger
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Michael Laule
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
| | - Elke Zimmermann
- Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Germany
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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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Yang L, Xu L, Schoepf UJ, Wichmann JL, Fox MA, Yan J, Fan Z, Zhang Z. Prospectively ECG-Triggered Sequential Dual-Source Coronary CT Angiography in Patients with Atrial Fibrillation: Influence of Heart Rate on Image Quality and Evaluation of Diagnostic Accuracy. PLoS One 2015. [PMID: 26221952 PMCID: PMC4519310 DOI: 10.1371/journal.pone.0134194] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Objectives To evaluate the effects of mean heart rate (HR) and heart rate variation (HRV) on image quality and diagnostic accuracy of prospectively ECG-triggered sequential dual-source coronary CT angiography (CCTA) in patients with atrial fibrillation (AF). Methods Eighty-five patients (49 women, 36 men; mean age 62.1±9.5 years) with persistent AF underwent prospectively ECG-triggered sequential second-generation dual-source CCTA. Tube current and voltage were adjusted according to body mass index (BMI) and iterative reconstruction was used. Image quality of coronary segments (four-point scale) and presence of significant stenosis (>50%) were evaluated. Diagnostic accuracy was analyzed in 30 of the 85 patients who underwent additional invasive coronary angiography (ICA). Results Only 8 of 1102 (0.7%) segments demonstrated poor image quality. No significant impact on image quality was found for mean HR (94.9±21.8 bpm; r=0.034, p=0.758; F=0.413, p=0.663) or HRV (67.5±22.8 bpm; r=0.097, p=0.377; F=0.111, p=0.895). On per-segment analysis, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 89.7% (26/29), 99.4% (355/357), 92.9% (26/28), and 99.2% (355/358), respectively, with excellent correlation (kappa=0.91) with ICA. Mean effective dose was 3.3±1.0 mSv. Conclusions Prospectively ECG-triggered sequential dual-source CCTA provides diagnostic image quality and good diagnostic accuracy for detection of coronary stenosis in AF patients without significant influence by HR or HRV.
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Affiliation(s)
- Lin Yang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- * E-mail:
| | - U. Joseph Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America
| | - Julian L. Wichmann
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America
| | - Mary A. Fox
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America
| | - Jing Yan
- Siemens Healthcare China, 278 Zhouzhu Road, Shanghai, China
| | - Zhanming Fan
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Zhaoqi Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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van der Pol CB, McInnes MDF, Petrcich W, Tunis AS, Hanna R. Is quality and completeness of reporting of systematic reviews and meta-analyses published in high impact radiology journals associated with citation rates? PLoS One 2015; 10:e0119892. [PMID: 25775455 PMCID: PMC4361663 DOI: 10.1371/journal.pone.0119892] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Accepted: 01/20/2015] [Indexed: 01/01/2023] Open
Abstract
PURPOSE The purpose of this study is to determine whether study quality and completeness of reporting of systematic reviews (SR) and meta-analyses (MA) published in high impact factor (IF) radiology journals is associated with citation rates. METHODS All SR and MA published in English between Jan 2007-Dec 2011, in radiology journals with an IF >2.75, were identified on Ovid MEDLINE. The Assessing the Methodologic Quality of Systematic Reviews (AMSTAR) checklist for study quality, and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist for study completeness, was applied to each SR & MA. Each SR & MA was then searched in Google Scholar to yield a citation rate. Spearman correlation coefficients were used to assess the relationship between AMSTAR and PRISMA results with citation rate. Multivariate analyses were performed to account for the effect of journal IF and journal 5-year IF on correlation with citation rate. Values were reported as medians with interquartile range (IQR) provided. RESULTS 129 studies from 11 journals were included (50 SR and 79 MA). Median AMSTAR result was 8.0/11 (IQR: 5-9) and median PRISMA result was 23.0/27 (IQR: 21-25). The median citation rate for SR & MA was 0.73 citations/month post-publication (IQR: 0.40-1.17). There was a positive correlation between both AMSTAR and PRISMA results and SR & MA citation rate; ρ=0.323 (P=0.0002) and ρ=0.327 (P=0.0002) respectively. Positive correlation persisted for AMSTAR and PRISMA results after journal IF was partialed out; ρ=0.243 (P=0.006) and ρ=0.256 (P=0.004), and after journal 5-year IF was partialed out; ρ=0.235 (P=0.008) and ρ=0.243 (P=0.006) respectively. CONCLUSION There is a positive correlation between the quality and the completeness of a reported SR or MA with citation rate which persists when adjusted for journal IF and journal 5-year IF.
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Affiliation(s)
| | - Matthew D. F. McInnes
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - William Petrcich
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Adam S. Tunis
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Ramez Hanna
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
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Kauling RM, Post MC, Rensing BJWM, Verzijlbergen JF, Schaap J. Hybrid SPECT/CCTA Imaging in the Work-up of Patients with Suspected Coronary Artery Disease. CURRENT CARDIOVASCULAR IMAGING REPORTS 2015. [DOI: 10.1007/s12410-014-9316-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Li W, Li X, Wang M, Ge X, Li F, Huang B, Peng J, Li G, Lu L, Yu Z, Ma J, Xu L, Jin M, Si H, Wan R. Association between red cell distribution width and the risk of heart events in patients with coronary artery disease. Exp Ther Med 2015; 9:1508-1514. [PMID: 25780460 PMCID: PMC4353804 DOI: 10.3892/etm.2015.2244] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Accepted: 01/13/2015] [Indexed: 01/01/2023] Open
Abstract
Red cell distribution width (RDW) has been found to be a novel prognostic biomarker in patients with coronary artery disease (CAD); however, the association between RDW and the risk of heart events in patients with CAD is yet to be fully elucidated. Thus, the aim of the present study was to determine whether an elevated RDW was associated with the Framingham risk score (FRS) in patients with CAD. Data were retrospectively collected from Affiliated Dongyang Hospital of Wenzhou Medical University (Dongyang, China). The patients had undergone a coronary angiography and their clinical data were integrated. The patients (male, 260; female, 132) were divided into two groups based on the results of the coronary angiography, namely the CAD (n=283) and control groups (n=109). The FRS was calculated for all the subjects, and complete blood count testing with biochemical measurements was performed. The mean RDW level was 13.7±1.8% in the CAD group and 13.1±1.0% in the control group, while the mean FRS was 9.0±4.9 in the CAD group and 6.4±3.9 in the control group. The RDW and FRS were significantly higher in the CAD group compared with the control group (P<0.001). No statistically significant differences were observed between the groups with regard to the hematocrit, mean corpuscular volume, platelets, glucose, urea, albumin, aspartate aminotransferase, total cholesterol, triglycerides (TG), high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and N-terminal pro-brain natriuretic peptide (P>0.05). The RDW was shown to significantly correlate with the red blood cell (RBC) count (r=-0.133, P=0.029), hemoglobin level (r=-0.207, P=0.001) and TG level (r=0.226, P<0.001) within the laboratory parameters, as well as the FRS (r=0.206, P<0.001). In the stepwise multivariate linear regression, which included the RBC count, hemoglobin level, TG level and RDW, the FRS was predicted by hemoglobin (r2=0.034, P=0.001), TG (r2=0.059, P<0.001) and RDW (r2=0.030, P=0.003) parameters. Therefore, a novel association was revealed between higher levels of RDW and an elevated FRS in patients with CAD, which raises the possibility that a simple marker, RDW, may be associated with an increased risk of heart events in CAD patients.
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Affiliation(s)
- Weimin Li
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Xiaoting Li
- Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310000, P.R. China
| | - Maofeng Wang
- Department of Clinical Laboratory Medicine, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Xuan Ge
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Feixiang Li
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Bian Huang
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Jiren Peng
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Guohong Li
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Liang Lu
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Zhuoyuan Yu
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Jiaojiao Ma
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Liaohang Xu
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Meijuan Jin
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Hongping Si
- Department of Cardiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
| | - Rugen Wan
- Department of Clinical Laboratory Medicine, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, P.R. China
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Noninvasive physiologic assessment of coronary stenoses using cardiac CT. BIOMED RESEARCH INTERNATIONAL 2015; 2015:435737. [PMID: 25685790 PMCID: PMC4320886 DOI: 10.1155/2015/435737] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2014] [Revised: 09/29/2014] [Accepted: 10/06/2014] [Indexed: 11/17/2022]
Abstract
Coronary CT angiography (CCTA) has become an important noninvasive imaging modality in the diagnosis of coronary artery disease (CAD). CCTA enables accurate evaluation of coronary artery stenosis. However, CCTA provides limited information on the physiological significance of stenotic lesions. A noninvasive "one-stop-shop" diagnostic test that can provide both anatomical significance and functional significance of stenotic lesions would be beneficial in the diagnosis and management of CAD. Recently, with the introduction of novel techniques, such as myocardial CT perfusion, CT-derived fractional flow reserve (FFRCT), and transluminal attenuation gradient (TAG), CCTA has emerged as a noninvasive method for the assessment of both anatomy of coronary lesions and its physiological consequences during a single study. This review provides an overview of the current status of new CT techniques for the physiologic assessments of CAD.
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Hamdan A, Wellnhofer E, Konen E, Kelle S, Goitein O, Andrada B, Raanani E, Segev A, Barbash I, Klempfner R, Goldenberg I, Guetta V. Coronary CT angiography for the detection of coronary artery stenosis in patients referred for transcatheter aortic valve replacement. J Cardiovasc Comput Tomogr 2014; 9:31-41. [PMID: 25576406 DOI: 10.1016/j.jcct.2014.11.008] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Revised: 11/12/2014] [Accepted: 11/26/2014] [Indexed: 11/25/2022]
Abstract
BACKGROUND Coronary CT has become the foremost noninvasive imaging modality for detecting coronary stenoses in patients with suspected coronary artery disease. Nevertheless, little is known about its performance in patients undergoing transcatheter aortic valve replacement (TAVR). OBJECTIVE This study investigates the diagnostic performance of coronary CT angiography in patients referred for TAVR. METHODS One hundred and fifteen consecutive patients with severe aortic stenosis underwent CT angiography with retrospective electrocardiography triggered acquisition and an iterative reconstruction algorithm, of whom 23 (20%) had prior coronary artery bypass graft (CABG) surgery. Diagnostic accuracy of CT for detecting significant coronary stenosis (≥ 50% luminal diameter stenosis in segments ≥ 2 mm) in the left main, proximal, or middle segments of coronary arteries and bypass grafts was compared with that of invasive coronary angiography. RESULTS In the overall study population, the sensitivity, specificity, and positive and negative predictive value of CT angiography for the detection of coronary segment or bypass graft lesions were 96% (47 of 49), 73% (48 of 66), 72% (47 of 65), and 96% (48 of 50), respectively. The per-patient diagnostic yield of CT angiography was consistent among patients without prior CABG (93% [28 of 30], 73% [45 of 62], 62% [28 of 45], and 96% [45 of 47], respectively) and among patients with prior CABG (100% [19 of 19], 75% [3 of 4], 95% [19 of 20], and 100% [3 of 3], respectively). CONCLUSION Among patients referred for TAVR, coronary CT angiography with retrospective gating and iterative reconstruction may allow detection of significant stenosis in the proximal or middle segments of coronary arteries and could permit the evaluation of patients after bypass grafts.
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Affiliation(s)
- Ashraf Hamdan
- Heart Center, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel; Department of Diagnostic Imaging, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel.
| | - Ernst Wellnhofer
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
| | - Eli Konen
- Department of Diagnostic Imaging, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
| | - Orly Goitein
- Department of Diagnostic Imaging, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel; Department of Cardiac Surgery, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
| | - Bogdan Andrada
- Heart Center, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
| | - Ehud Raanani
- Department of Cardiac Surgery, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
| | - Amit Segev
- Heart Center, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
| | - Israel Barbash
- Heart Center, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
| | - Robert Klempfner
- Heart Center, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
| | - Ilan Goldenberg
- Heart Center, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
| | - Victor Guetta
- Heart Center, Sheba Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
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McInnes M, Tunis AS. Association of study quality with completeness of reporting. Radiology 2014; 272:303-4. [PMID: 24956054 DOI: 10.1148/radiol.14140830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Matthew McInnes
- Department of Medical Imaging, Ottawa Hospital, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
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Beyond Trisomy 21: Additional Chromosomal Anomalies Detected through Routine Aneuploidy Screening. J Clin Med 2014; 3:388-415. [PMID: 26237381 PMCID: PMC4449689 DOI: 10.3390/jcm3020388] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2014] [Revised: 02/06/2014] [Accepted: 02/18/2014] [Indexed: 01/28/2023] Open
Abstract
Prenatal screening is often misconstrued by patients as screening for trisomy 21 alone; however, other chromosomal anomalies are often detected. This study aimed to systematically review the literature and use diagnostic meta-analysis to derive pooled detection and false positive rates for aneuploidies other than trisomy 21 with different prenatal screening tests. Non-invasive prenatal testing had the highest detection (DR) and lowest false positive (FPR) rates for trisomy 13 (DR: 90.3%; FPR: 0.2%), trisomy 18 (DR: 98.1%; FPR: 0.2%), and 45,X (DR: 92.2%; FPR: 0.1%); however, most estimates came from high-risk samples. The first trimester combined test also had high DRs for all conditions studied (trisomy 13 DR: 83.1%; FPR: 4.4%; trisomy 18 DR: 91.9%; FPR: 3.5%; 45,X DR: 70.1%; FPR: 5.4%; triploidy DR: 100%; FPR: 6.3%). Second trimester triple screening had the lowest DRs and highest FPRs for all conditions (trisomy 13 DR: 43.9%; FPR: 8.1%; trisomy 18 DR: 70.5%; FPR: 3.3%; 45,X DR: 77.2%; FPR: 9.3%). Prenatal screening tests differ in their ability to accurately detect chromosomal anomalies. Patients should be counseled about the ability of prenatal screening to detect anomalies other than trisomy 21 prior to undergoing screening.
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Li M, Du XM, Jin ZT, Peng ZH, Ding J, Li L. The diagnostic performance of coronary artery angiography with 64-MSCT and post 64-MSCT: systematic review and meta-analysis. PLoS One 2014; 9:e84937. [PMID: 24465453 PMCID: PMC3897406 DOI: 10.1371/journal.pone.0084937] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2013] [Accepted: 11/20/2013] [Indexed: 12/27/2022] Open
Abstract
PURPOSE To comprehensively investigate the diagnostic performance of coronary artery angiography with 64-MDCT and post 64-MDCT. MATERIALS AND METHODS PubMed was searched for all published studies that evaluated coronary arteries with 64-MDCT and post 64-MDCT. The clinical diagnostic role was evaluated by applying the likelihood ratios (LRs) to calculate the post-test probability based on Bayes' theorem. RESULTS 91 studies that met our inclusion criteria were ultimately included in the analysis. The pooled positive and negative LRs at patient level were 8.91 (95% CI, 7.53, 10.54) and 0.02 (CI, 0.01, 0.03), respectively. For studies that did not claim that non-evaluable segments were included, the pooled positive and negative LRs were 11.16 (CI, 8.90, 14.00) and 0.01 (CI, 0.01, 0.03), respectively. For studies including uninterruptable results, the diagnostic performance decreased, with the pooled positive LR 7.40 (CI, 6.00, 9.13) and negative LR 0.02 (CI, 0.01, 0.03). The areas under the summary ROC curve were 0.98 (CI, 0.97 to 0.99) for 64-MDCT and 0.96 (CI, 0.94 to 0.98) for post 64-MDCT, respectively. For references explicitly stating that the non-assessable segments were included during analysis, a post-test probability of negative results >95% and a positive post-test probability <95% could be obtained for patients with a pre-test probability of <73% for coronary artery disease (CAD). On the other hand, when the pre-test probability of CAD was >73%, the diagnostic role was reversed, with a positive post-test probability of CAD >95% and a negative post-test probability of CAD <95%. CONCLUSION The diagnostic performance of post 64-MDCT does not increase as compared with 64-MDCT. CTA, overall, is a test of exclusion for patients with a pre-test probability of CAD<73%, while for patients with a pre-test probability of CAD>73%, CTA is a test used to confirm the presence of CAD.
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Affiliation(s)
- Min Li
- Department of Medical Imaging, Jinan Military General Hospital, Jinan, Shandong Province, China
| | - Xiang-min Du
- Department of Medical Engineering, Jinan Military General Hospital, Jinan, Shandong Province, China
| | - Zhi-tao Jin
- Department of Cardiology, General Hospital of the Second Artillery, Beijing, China
| | - Zhao-hui Peng
- Department of Medical Imaging, Jinan Military General Hospital, Jinan, Shandong Province, China
| | - Juan Ding
- Department of Medical Imaging, Jinan Military General Hospital, Jinan, Shandong Province, China
| | - Li Li
- Department of Medical Imaging, Jinan Military General Hospital, Jinan, Shandong Province, China
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Tunis AS, McInnes MDF, Hanna R, Esmail K. Association of Study Quality with Completeness of Reporting: Have Completeness of Reporting and Quality of Systematic Reviews and Meta-Analyses in Major Radiology Journals Changed Since Publication of the PRISMA Statement? Radiology 2013; 269:413-26. [DOI: 10.1148/radiol.13130273] [Citation(s) in RCA: 122] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Sun G, Li M, Jiang ZW, Xu L, Peng ZH, Ding J, Li L, Jin ZT. Diagnostic accuracy of dual-source CT coronary angiography in patients with atrial fibrillation: Meta analysis. Eur J Radiol 2013; 82:1749-54. [DOI: 10.1016/j.ejrad.2013.04.034] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2012] [Revised: 03/23/2013] [Accepted: 04/27/2013] [Indexed: 12/31/2022]
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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: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [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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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 MFL, Shabestari AA, Sato A, Zimmermann E, Schoepf UJ, Diederichsen A, Halon DA, Mendoza-Rodriguez V, Hamdan A, Nørgaard BL, Brodoefel H, Øvrehus KA, Jenkins SMM, Halvorsen BA, Rixe J, Sheikh M, Langer C, Martuscelli E, Romagnoli A, Scholte AJHA, Marcus RP, Ulimoen GR, Nieman K, Mickley H, Nikolaou K, Tardif JC, Johnson TRC, Muraglia S, Chow BJW, 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: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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
UNLABELLED 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
| | - Peter Schlattmann
- Department of Medical Statistics, Informatics and Documentation (PS), University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Stephan Achenbach
- Medizinische Klinik 2, Universitätsklinikum Erlangen, Ulmenweg 18, Erlangen, 91054, Germany
| | - Matthew Budoff
- Los Angeles Biomedical Research Institute, 1124 W Carson Street, Torrance, CA, 90502, USA
| | - Mario J Garcia
- Division of Cardiology, Montefiore Medical Center - Albert Einstein College of Medicine, 211 East 210th Street, Bronx, NY, 10467, USA
| | - Robert Roehle
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, Berlin 10117, Germany
| | - Gianluca Pontone
- Centro Cardiologico Monzino, IRCCS, Via C. Parea 4, Milan, 20134, Italy
| | - Willem Bob Meijboom
- Department of Cardiology, Erasmus Medical Center, ‘s Gravendijkwal 230, Postbus 2040, Rotterdam, CA, 3000, The Netherlands
| | - Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Via C. Parea 4, Milan, 20134, Italy
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Lily Honoris
- Los Angeles Biomedical Research Institute, 1124 W Carson Street, Torrance, CA, 90502, USA
| | - Nuno Bettencourt
- Cardiovascular CT and Cardiac Magnetic Resonance Laboratory, Cardiovascular Diagnostic and Intervention Unit - Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia Hospita, Rua Conceição Fernandes, V.N. Gaia, 4434-502, Portugal
| | - Jörg Hausleiter
- Klinik für Herz- und Kreislauferkrankungen im Erwachsenenalter, Deutsches Herzzentrum München, Klinik an der Technischen Universität München, München, Germany
| | - Sebastian Leschka
- Institute of Radiology, Kantonsspital St. Gallen, Rorschacher Strasse 95, St. Gallen, 9007, Switzerland
| | - Bernhard L Gerber
- Department of Cardiology, Cliniques Universitaires St. Luc, Universite Catholique de Louvain, Brussels, Belgium
| | - Matthijs FL Meijs
- Department of Cardiology, University Medical Center Utrecht, H 100, 3584 CX,, Utrecht, HP E03.511, The Netherlands
| | - Abbas Arjmand Shabestari
- Department of Radiology, Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Akira Sato
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
| | - Elke Zimmermann
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, Berlin 10117, Germany
| | - Uwe J Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Axel Diederichsen
- Department of Cardiology, Odense University Hospital, Sdr. Boulevard 29, Odense C, 5000, Denmark
| | - David A Halon
- Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Vladimir Mendoza-Rodriguez
- National Institute of Cardiology and Cardiovascular Surgery, ”Manuel Fajardo” Medical Sciences Faculty, Medical Sciences University of Havana, Tomography Department, Vedado, Plaza de La Revoluciòn, The Havana, Cuba
| | - Ashraf Hamdan
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
- Heart Center, Chaim Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel-Aviv University, Tel Hashomer, Israel
| | - Bjarne L Nørgaard
- Department of Cardiology B, Aarhus University Hospital Skejby, Aarhus N, DK- 8200, Denmark
| | - Harald Brodoefel
- University Department of Radiology, University Hospital Tübingen, Hoppe-Seyler-Straße 3, Tübingen, 72076, Germany
| | | | | | - Bjørn A Halvorsen
- Department of Cardiology, Ostfold County Hospital, Fredrikstad, N-1603, Norway
| | - Johannes Rixe
- Medizinische Klinik I (Kardiologie, Angiologie), Universitätsklinikum Giessen und Marburg GmbH, Standort Giessen, Klinikstr. 33, Giessen, 35392, Germany
| | - Mehraj Sheikh
- Department of Radiology, Faculty of Medicine, Kuwait University, PO Box 24923, Safat, 13110, Kuwait
| | - Christoph Langer
- Klinik für Innere Medizin III mit Schwerpunkt Kardiologie und Angiologie, UKSH, Campus Kiel, Schittenhelmstr. 12, Kiel, D-24105, Germany
- Kardiologische Klinik, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Georgstr. 11, Bad Oeynhausen, 32545, Germany
| | - Eugenio Martuscelli
- Division of Cardiology, Department of Internal Medicine, University of Rome Tor Vergata, Viale Oxford 81, Rome, 00133, Italy
| | - Andrea Romagnoli
- Department of Radiology, University of Rome Tor Vergata, Viale Oxford 81, Rome, 00133, Italy
| | - Arthur JHA Scholte
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, P.O. Box 9600, 2300, RC Leiden, the Netherlands
| | - Roy P Marcus
- Department of Clinical Radiology, Ludwig-Maximilians-University of Munich, Marchioninistrasse 15, Munich, 81377, Germany
| | - Geir R Ulimoen
- Department of Radiology, Akershus University Hospital, Lorenskog, Norway
| | - Koen Nieman
- Department of Cardiology, Erasmus Medical Center, ‘s Gravendijkwal 230, Postbus 2040, Rotterdam, CA, 3000, The Netherlands
- Department of Radiology, Erasmus University Medical Center, 's Gravendijkwal 230, Rotterdam, CE, 3015, The Netherlands
| | - Hans Mickley
- Department of Cardiology, Odense University Hospital, Sdr. Boulevard 29, Odense C, 5000, Denmark
| | - Konstantin Nikolaou
- Department of Clinical Radiology, Ludwig-Maximilians-University of Munich, Marchioninistrasse 15, Munich, 81377, Germany
| | - Jean-Claude Tardif
- Montreal Heart Institute, Université de Montréal, 5000 Belanger Street, Montreal, PQ H1T 1C8, Canada
| | - Thorsten RC Johnson
- Department of Clinical Radiology, Ludwig-Maximilians-University of Munich, Marchioninistrasse 15, Munich, 81377, Germany
| | - Simone Muraglia
- Department of Cardiology, S. Chiara Hospital, L.go Medaglie d’Oro 1, Trento, 38100, Italy
| | - Benjamin JW Chow
- University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON K1Y 4W7, Canada
| | - David Maintz
- Department of Radiology, University of Cologne, Kerpener Str. 62, Köln, 50937, Germany
- Department of Radiology, University of Münster, Albert-Schweitzer-Campus 1, Münster, 48149, Germany
| | - Michael Laule
- Department of Cardiology, Charité – Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, Berlin, 10117, Germany
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, Berlin 10117, Germany
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Methodological quality of diagnostic accuracy studies on non-invasive coronary CT angiography: influence of QUADAS (Quality Assessment of Diagnostic Accuracy Studies included in systematic reviews) items on sensitivity and specificity. Eur Radiol 2013; 23:1603-22. [PMID: 23322410 DOI: 10.1007/s00330-012-2763-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2012] [Revised: 11/29/2012] [Accepted: 12/10/2012] [Indexed: 12/27/2022]
Abstract
OBJECTIVES To evaluate the methodological quality of diagnostic accuracy studies on coronary computed tomography (CT) angiography using the QUADAS (Quality Assessment of Diagnostic Accuracy Studies included in systematic reviews) tool. METHODS Each QUADAS item was individually defined to adapt it to the special requirements of studies on coronary CT angiography. Two independent investigators analysed 118 studies using 12 QUADAS items. Meta-regression and pooled analyses were performed to identify possible effects of methodological quality items on estimates of diagnostic accuracy. RESULTS The overall methodological quality of coronary CT studies was merely moderate. They fulfilled a median of 7.5 out of 12 items. Only 9 of the 118 studies fulfilled more than 75 % of possible QUADAS items. One QUADAS item ("Uninterpretable Results") showed a significant influence (P = 0.02) on estimates of diagnostic accuracy with "no fulfilment" increasing specificity from 86 to 90 %. Furthermore, pooled analysis revealed that each QUADAS item that is not fulfilled has the potential to change estimates of diagnostic accuracy. CONCLUSIONS The methodological quality of studies investigating the diagnostic accuracy of non-invasive coronary CT is only moderate and was found to affect the sensitivity and specificity. An improvement is highly desirable because good methodology is crucial for adequately assessing imaging technologies. KEY POINTS • Good methodological quality is a basic requirement in diagnostic accuracy studies. • Most coronary CT angiography studies have only been of moderate design quality. • Weak methodological quality will affect the sensitivity and specificity. • No improvement in methodological quality was observed over time. • Authors should consider the QUADAS checklist when undertaking accuracy studies.
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Michaud K, Grabherr S, Jackowski C, Bollmann MD, Doenz F, Mangin P. Postmortem imaging of sudden cardiac death. Int J Legal Med 2013; 128:127-37. [PMID: 23322013 DOI: 10.1007/s00414-013-0819-6] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2012] [Accepted: 01/04/2013] [Indexed: 12/25/2022]
Abstract
Postmortem imaging is increasingly used in forensic practice in cases of natural deaths related to cardiovascular diseases, which represent the most common causes of death in developed countries. While radiological examination is generally considered to be a good complement for conventional autopsy, it was thought to have limited application in cardiovascular pathology. At present, multidetector computed tomography (MDCT), CT angiography, and cardiac magnetic resonance imaging (MRI) are used in postmortem radiological investigation of cardiovascular pathologies. This review presents the actual state of postmortem imaging for cardiovascular pathologies in cases of sudden cardiac death (SCD), taking into consideration both the advantages and limitations. The radiological evaluation of ischemic heart disease (IHD), the most frequent cause of SCD in the general population of industrialized countries, includes the examination of the coronary arteries and myocardium. Postmortem CT angiography (PMCTA) is very useful for the detection of stenoses and occlusions of coronary arteries but less so for the identification of ischemic myocardium. MRI is the method of choice for the radiological investigation of the myocardium in clinical practice, but its accessibility and application are still limited in postmortem practice. There are very few reports implicating postmortem radiology in the investigation of other causes of SCD, such as cardiomyopathies, coronary artery abnormalities, and valvular pathologies. Cardiomyopathies representing the most frequent cause of SCD in young athletes cannot be diagnosed by echocardiography, the most widely available technique in clinical practice for the functional evaluation of the heart and the detection of cardiomyopathies. PMCTA and MRI have the potential to detect advanced stages of diseases when morphological substrate is present, but these methods have yet to be sufficiently validated for postmortem cases. Genetically determined channelopathies cannot be detected radiologically. This review underlines the need to establish the role of postmortem radiology in the diagnosis of SCD.
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Affiliation(s)
- Katarzyna Michaud
- University Center of Legal Medicine, Lausanne and Geneva, Rue du Bugnon 21, 1011, Lausanne, Switzerland,
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Schuetz GM, Schlattmann P, Dewey M. Use of 3x2 tables with an intention to diagnose approach to assess clinical performance of diagnostic tests: meta-analytical evaluation of coronary CT angiography studies. BMJ 2012; 345:e6717. [PMID: 23097549 PMCID: PMC3480336 DOI: 10.1136/bmj.e6717] [Citation(s) in RCA: 119] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/24/2012] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To determine whether a 3 × 2 table, using an intention to diagnose approach, is better than the "classic" 2 × 2 table at handling transparent reporting and non-evaluable results, when assessing the accuracy of a diagnostic test. DESIGN Based on a systematic search for diagnostic accuracy studies of coronary computed tomography (CT) angiography, full texts of relevant studies were evaluated to determine whether they could calculate an alternative 3 × 2 table. To quantify an overall effect, we pooled diagnostic accuracy values according to a meta-analytical approach. DATA SOURCES Medline (via PubMed), Embase (via Ovid), and ISI Web of Science electronic databases. ELIGIBILITY CRITERIA Prospective English or German language studies comparing coronary CT with conventional coronary angiography in all patients and providing sufficient data for a patient level analysis. RESULTS 120 studies (10,287 patients) were eligible. Studies varied greatly in their approaches to handling non-evaluable findings. We found 26 studies (including 2298 patients) that allowed us to calculate both 2 × 2 tables and 3 × 2 tables. Using a bivariate random effects model, we compared the 2 × 2 table with the 3 × 2 table, and found significant differences for pooled sensitivity (98.2 (95% confidence interval 96.7 to 99.1) v 92.7 (88.5 to 95.3)), area under the curve (0.99 (0.98 to 1.00) v 0.93 (0.91 to 0.95)), positive likelihood ratio (9.1 (6.2 to 13.3) v 4.4 (3.3 to 6.0)), and negative likelihood ratio (0.02 (0.01 to 0.04) v 0.09 (0.06 to 0.15); (P<0.05)). CONCLUSION Parameters for diagnostic performance significantly decrease if non-evaluable results are included by a 3 × 2 table for analysis (intention to diagnose approach). This approach provides a more realistic picture of the clinical potential of diagnostic tests.
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Affiliation(s)
- Georg M Schuetz
- Department of Radiology, The Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
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Ebersberger U, Eilot D, Goldenberg R, Lev A, Spears JR, Rowe GW, Gallagher NY, Halligan WT, Blanke P, Makowski MR, Krazinski AW, Silverman JR, Bamberg F, Leber AW, Hoffmann E, Schoepf UJ. Fully automated derivation of coronary artery calcium scores and cardiovascular risk assessment from contrast medium-enhanced coronary CT angiography studies. Eur Radiol 2012; 23:650-7. [PMID: 22983281 DOI: 10.1007/s00330-012-2652-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2012] [Revised: 08/13/2012] [Accepted: 08/19/2012] [Indexed: 10/27/2022]
Abstract
OBJECTIVES Performance evaluation of a fully automated system for calculating computed tomography (CT) coronary artery calcium scores from contrast medium-enhanced coronary CT angiography (cCTA) studies. METHODS One hundred and twenty-seven patients (58 ± 11 years, 71 men) who had undergone cCTA as well as an unenhanced CT calcium scoring study where included. Calcium scores were computed from cCTA by an automated image processing algorithm and compared with calcium scores obtained by standard manual assessment of unenhanced CT calcium scoring studies. Results were compared vis-a-vis (1) absolute calcium score values, (2) age-, gender- and race-dependent percentiles, and (3) commonly used calcium score risk classification categories. RESULTS One hundred and nineteen out of 127 (93.7%) studies were successfully processed. Mean Agatston calcium score values obtained by traditional non-contrast CT calcium scoring studies and derived from contrast medium-enhanced cCTA did not significantly differ (235.6 ± 430.5 vs 262.0 ± 499.5; P > 0.05). Calcium score risk categories and Multi-Ethnic Study of Atherosclerosis (MESA) percentiles showed very high correlation (Spearman rank correlation coefficient = 0.97, P < 0.0001/0.95, P < 0.0001) between the two approaches. CONCLUSIONS Calcium score values automatically computed from cCTA are highly correlated with standard unenhanced CT calcium scoring studies. These results suggest a radiation dose- and time-saving potential when deriving calcium scores from cCTA studies without a preceding unenhanced CT calcium scoring study.
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Affiliation(s)
- Ullrich Ebersberger
- Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, Charleston, SC 29425-2260, USA
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Li L, Li M, Sun G. Degraded Diagnostic Accuracy Caused by Coronary Artery Calcification. Radiology 2012; 263:936; author reply 937. [DOI: 10.1148/radiol.12112711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Michaud K, Grabherr S, Doenz F, Mangin P. Evaluation of postmortem MDCT and MDCT-angiography for the investigation of sudden cardiac death related to atherosclerotic coronary artery disease. Int J Cardiovasc Imaging 2012; 28:1807-22. [PMID: 22238022 DOI: 10.1007/s10554-012-0012-x] [Citation(s) in RCA: 74] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2011] [Accepted: 01/02/2012] [Indexed: 12/22/2022]
Abstract
The goal of this study was to evaluate the diagnostic value of postmortem multi-computed tomography (MDCT) and MDCT-angiography for sudden cardiac deaths related to ischemic heart disease. Twenty three cases were selected based on clinical history and the results of native MDCT, multiphase post-mortem CT-angiography and conventional autopsy were compared. Radiological examination showed calcification of coronary arteries in 78% of the cases, most of which were not detailed at autopsy. MDCT-angiography allowed better visualization of the coronary arteries than MDCT and permitted the evaluation of stenoses and occlusions. Of the 14 cases of coronary thrombosis detected at conventional autopsy, 11 were visible as stop of perfusion with CT-angiography and three were found to be partly perfused. One case had an old thrombosis with collateral circulation. One case had a coronary artery postmortem clot found with MDCT-angiography. Coronary artery calcifications are more easily detected and documented with radiological examination than with conventional autopsy. MDCT is of limited diagnostic value for ischemic heart disease. MDCT-angiography, when correctly interpreted, is a reasonable tool to view the morphology of coronary arteries, rule out significant coronary artery stenoses, identify occlusions and direct sampling for histological examination.
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Affiliation(s)
- Katarzyna Michaud
- University Center of Legal Medicine Lausanne-Geneva, Lausanne, Switzerland.
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