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Witt UE, Müller ML, Beyer RE, Wieditz J, Salem S, Hashemi D, Chen W, Cvetkovic M, Nolden AC, Doeblin P, Blum M, Thiede G, Huppertz A, Steen H, Remppis BA, Falk V, Friede T, Kelle S. A simplified approach to discriminate between healthy subjects and patients with heart failure using cardiac magnetic resonance myocardial deformation imaging. EUROPEAN HEART JOURNAL. IMAGING METHODS AND PRACTICE 2024; 2:qyae093. [PMID: 39318449 PMCID: PMC11421468 DOI: 10.1093/ehjimp/qyae093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 09/06/2024] [Indexed: 09/26/2024]
Abstract
Aims Left ventricular global longitudinal strain (LV-GLS) shows promise as a marker to detect early heart failure (HF). This study sought to (i) establish cardiac magnetic resonance imaging (CMR)-derived LV-GLS cut-offs to differentiate healthy from HF for both acquisition-based and post-processing techniques, (ii) assess agreement, and (iii) provide a method to convert LV-GLS between both techniques. Methods and results A secondary analysis of a prospective study enrolling healthy subjects (n = 19) and HF patients (n = 56) was conducted. LV-GLS was measured using fast strain-encoded imaging (fSENC) and feature tracking (FT). Receiver operating characteristic (ROC) analyses were performed to derive and evaluate LV-GLS cut-offs discriminating between healthy, HF with mild deformation impairment (DI), and HF with severe DI. Linear regression and Bland-Altman analyses assessed agreement. Cut-offs discriminating between healthy and HF were identified at -19.3% and -15.1% for fSENC and FT, respectively. Cut-offs of -15.8% (fSENC) and -10.8% (FT) further distinguished mild from severe DI. No significant differences in area under ROC curve were identified between fSENC and FT. Bland-Altman analysis revealed a bias of -4.01%, 95% CI -4.42, -3.50 for FT, considering fSENC as reference. Linear regression suggested a factor of 0.76 to rescale fSENC-derived LV-GLS to FT. Using this factor on fSENC-derived cut-offs yielded rescaled FT LV-GLS cut-offs of -14.7% (healthy vs. HF) and -12% (mild vs. severe DI). Conclusion LV-GLS distinguishes healthy from HF with high accuracy. Each measurement technique requires distinct cut-offs, but rescaling factors facilitate conversion. An FT-based LV-GLS ≥ -15% simplifies HF detection in clinical routine.
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Affiliation(s)
- Undine Ella Witt
- Department of Cardiology, Deutsches Herzzentrum der Charité, Angiology and Intensive Care Medicine, Augustenburger Platz 1, Berlin 13353, Germany
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- Herzinstitut Berlin, Kardiologische Gemeinschaftspraxis, Berlin, Germany
| | - Maximilian Leo Müller
- Department of Cardiology, Deutsches Herzzentrum der Charité, Angiology and Intensive Care Medicine, Augustenburger Platz 1, Berlin 13353, Germany
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Rebecca Elisabeth Beyer
- Department of Cardiology, Deutsches Herzzentrum der Charité, Angiology and Intensive Care Medicine, Augustenburger Platz 1, Berlin 13353, Germany
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Johannes Wieditz
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
| | - Susanna Salem
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
| | - Djawid Hashemi
- Department of Cardiology, Deutsches Herzzentrum der Charité, Angiology and Intensive Care Medicine, Augustenburger Platz 1, Berlin 13353, Germany
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Wensu Chen
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
- Department of Cardiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Mina Cvetkovic
- Department of Cardiology, Deutsches Herzzentrum der Charité, Angiology and Intensive Care Medicine, Augustenburger Platz 1, Berlin 13353, Germany
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
| | - Anna Clara Nolden
- Department of Cardiology, Deutsches Herzzentrum der Charité, Angiology and Intensive Care Medicine, Augustenburger Platz 1, Berlin 13353, Germany
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Patrick Doeblin
- Department of Cardiology, Deutsches Herzzentrum der Charité, Angiology and Intensive Care Medicine, Augustenburger Platz 1, Berlin 13353, Germany
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Moritz Blum
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany
- BIH Biomedical Innovation Academy, BIH Charité Junior Clinician Scientist Program, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, Berlin 10117, Germany
| | - Gisela Thiede
- Department of Cardiology, Deutsches Herzzentrum der Charité, Angiology and Intensive Care Medicine, Augustenburger Platz 1, Berlin 13353, Germany
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Alexander Huppertz
- University Outpatient Clinic, Sports Medicine and Sports Orthopaedics, University of Potsdam, Potsdam, Germany
| | - Henning Steen
- Department of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
| | | | - Volkmar Falk
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, Berlin 13353, Germany
- Department of Health Sciences and Technology, Institute of Translational Medicine, Translational Cardiovascular Technologies, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland
| | - Tim Friede
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Cardiology, Deutsches Herzzentrum der Charité, Angiology and Intensive Care Medicine, Augustenburger Platz 1, Berlin 13353, Germany
- Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité—Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
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Dong T, Wang TKM. Nuances in Defining Normal Ranges for Chamber Quantification With Cardiovascular Magnetic Resonance. Circ Cardiovasc Imaging 2024; 17:e016488. [PMID: 38377240 DOI: 10.1161/circimaging.124.016488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Affiliation(s)
- Tiffany Dong
- Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH (T.D., T.K.M.W.)
| | - Tom Kai Ming Wang
- Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH (T.D., T.K.M.W.)
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Bagheri A, Khani M, Ghadirzadeh E, Moradi A, Bayat F, Salehi Mashhad Sari SP, Paraandavaji E, Akbari T, Hermis AH. Left atrial and ventricular deformation: alterations and predictive value of echocardiography parameters in end-stage renal disease patients after kidney transplantation. EUROPEAN HEART JOURNAL. IMAGING METHODS AND PRACTICE 2024; 2:qyae027. [PMID: 39045190 PMCID: PMC11195754 DOI: 10.1093/ehjimp/qyae027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 03/26/2024] [Indexed: 07/25/2024]
Abstract
Aims End-stage renal disease (ESRD) patients are prone to alterations in cardiac haemodynamics specifically on the left ventricle (LV) and left atrial (LA) functions usually due to factors like uraemia, fluid overload, and inflammation. While studies on LV function in ESRD exist, research on LA function is limited. Successful kidney transplant (KTx) is believed to reverse pathological cardiac remodelling, and monitoring changes in cardiac strain before and after transplantation may guide pre- and post-transplant care. This study has two main objectives: to investigate alterations in LA and LV strain and other echocardiographic parameters after KTx and to identify independent factors predicting impaired strain parameters post-KTx. Methods and results We conducted a prospective cohort study of 49 ESRD patients who underwent KTx. Echocardiography was performed at baseline and at 3 months after KTx. LV end-diastolic volume, LV end-systolic volume, LV end-diastolic diameter, LV ejection fraction (LVEF), E/e', maximum LA volume index (LAVi), LV global longitudinal strain (LVGLS), and all LA strain values, including booster (LASb), conduit (LAScd), and reservoir (LASr), improved significantly after KTx (P < 0.05). Regarding independent predictors of impaired LA and LV strains, pre-KTx values of LVEF, LAVi, and NT-proBNP were associated with LVGLS impairment after KTx; pre-KTx values of LAVi and LVEF were associated with LASr impairment after KTx. Conclusion The present study provided valuable evidence on the effects of KTx on uraemic cardiomyopathy demonstrated by LA strain and LV strain improvements and indicated pre-KTx LVEF and LAVi as significant independent predictors of LVGLS and LASr impairment after KTx.
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Affiliation(s)
- Abdulhamid Bagheri
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Velenjak, Tajrish, Arabi ave, Bldg No. 2, 7th floor, P.O. BOX: 19615-1178, Tehran, Iran
| | - Mohammad Khani
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Velenjak, Tajrish, Arabi ave, Bldg No. 2, 7th floor, P.O. BOX: 19615-1178, Tehran, Iran
| | - Erfan Ghadirzadeh
- Cardiovascular Research Center, Mazandaran University of Medical Sciences, Sari, Iran
| | - Amir Moradi
- Atherosclerosis Research Center, Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Fariba Bayat
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Velenjak, Tajrish, Arabi ave, Bldg No. 2, 7th floor, P.O. BOX: 19615-1178, Tehran, Iran
| | | | - Elham Paraandavaji
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Velenjak, Tajrish, Arabi ave, Bldg No. 2, 7th floor, P.O. BOX: 19615-1178, Tehran, Iran
| | - Tooba Akbari
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Velenjak, Tajrish, Arabi ave, Bldg No. 2, 7th floor, P.O. BOX: 19615-1178, Tehran, Iran
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Desai MY, Mehra N, Hajj Ali A. On Its Journey From a Novelty to a Workhorse: Is Left Ventricular Strain Assessment in Hypertrophic Cardiomyopathy There Yet? J Am Soc Echocardiogr 2023; 36:205-207. [PMID: 36522239 DOI: 10.1016/j.echo.2022.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 11/28/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022]
Affiliation(s)
- Milind Y Desai
- Hypertrophic Cardiomyopathy Center, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, Ohio.
| | - Nandini Mehra
- Hypertrophic Cardiomyopathy Center, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, Ohio
| | - Adel Hajj Ali
- Hypertrophic Cardiomyopathy Center, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, Ohio
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Singulane CC, Miyoshi T, Mor-Avi V, Cotella JI, Schreckenberg M, Blankenhagen M, Hitschrich N, Addetia K, Amuthan V, Citro R, Daimon M, Gutiérrez-Fajardo P, Kasliwal R, Kirkpatrick JN, Monaghan MJ, Muraru D, Ogunyankin KO, Park SW, Tude Rodrigues AC, Ronderos R, Sadeghpour A, Scalia GM, Takeuchi M, Tsang W, Tucay ES, Zhang Y, Asch FM, Lang RM. Age-, Sex-, and Race-Based Normal Values for Left Ventricular Circumferential Strain from the World Alliance Societies of Echocardiography Study. J Am Soc Echocardiogr 2022:S0894-7317(22)00702-7. [PMID: 36592875 DOI: 10.1016/j.echo.2022.12.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 10/17/2022] [Accepted: 12/23/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND Left ventricular (LV) circumferential strain has received less attention than longitudinal deformation, which has recently become part of routine clinical practice. Among other reasons, this is because of the lack of established normal values. Accordingly, the aim of this study was to establish normative values for LV circumferential strain and determine sex-, age-, and race-related differences in a large cohort of healthy adults. METHODS Complete two-dimensional transthoracic echocardiograms were obtained in 1,572 healthy subjects (51% men), enrolled in the World Alliance Societies of Echocardiography Normal Values Study. Subjects were divided into three age groups (<35, 35-55, and >55 years) and stratified by sex and by race. Vendor-independent semiautomated speckle-tracking software was used to determine LV regional circumferential strain and global circumferential strain (GCS) values. Limits of normal for each measurement were defined as 95% of the corresponding sex and age group falling between the 2.5th and 97.5th percentiles. Intergroup differences were analyzed using unpaired t tests. RESULTS Circumferential strain showed a gradient, with lower magnitude at the mitral valve level, increasing progressively toward the apex. Compared with men, women had statistically higher magnitudes of regional and global strain. Older age was associated with a stepwise increase in GCS despite an unaffected ejection fraction, a decrease in LV volume, and relatively stable global longitudinal strain in men, with a small gradual decrease in women. Asian subjects demonstrated significantly higher GCS magnitudes than whites of both sexes and blacks among women only. In contrast, no significant differences in GCS were found between white and black subjects of either sex. Importantly, despite statistical significance of these differences across sex, age, and race, circumferential strain values were similar in all groups, with variations of the order of magnitude of 1% to 2%. Notably, no differences in GCS were found among brands of imaging equipment. CONCLUSION This study established normal values of LV regional circumferential strain and GCS and identified sex-, age-, and race-related differences when present.
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Affiliation(s)
| | - Tatsuya Miyoshi
- MedStar Health Research Institute, Washington, District of Columbia
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Denisa Muraru
- Istituto Auxologico Italiano, IRCCS, San Luca Hospital, and University of Milano-Bicocca, Milan, Italy
| | | | | | | | - Ricardo Ronderos
- Instituto Cardiovascular de Buenos Aires, Buenos Aires, Argentina
| | - Anita Sadeghpour
- Rajaie Cardiovascular Medical and Research Center, Echocardiography Research Center, IUMS, Tehran, Iran
| | | | - Masaaki Takeuchi
- University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Wendy Tsang
- Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | | | - Yun Zhang
- Qilu Hospital of Shandong University, Jinan, China
| | - Federico M Asch
- MedStar Health Research Institute, Washington, District of Columbia
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Klein AL, Wang TKM. Straining to See the Future in Subclinical Heart Failure. JACC: CARDIOVASCULAR IMAGING 2022; 15:1388-1390. [DOI: 10.1016/j.jcmg.2022.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 04/14/2022] [Indexed: 10/18/2022]
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7
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Takeuchi M. Left atrial strain: An option to facilitate classification of diastolic dysfunction grade? Int J Cardiol 2022; 351:115-117. [PMID: 34999184 DOI: 10.1016/j.ijcard.2022.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 01/02/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Masaaki Takeuchi
- Department of Laboratory and Transfusion Medicine, Hospital of University of Occupational and Environmental Health, School of Medicine, 1-1 Iseigaoka, Yahatanishi, Kitakyushu 807-8556, Japan.
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Wang TKM, Grimm RA, Rodriguez LL, Collier P, Griffin BP, Popović ZB. Defining the reference range for right ventricular systolic strain by echocardiography in healthy subjects: A meta-analysis. PLoS One 2021; 16:e0256547. [PMID: 34415965 PMCID: PMC8378693 DOI: 10.1371/journal.pone.0256547] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Accepted: 08/09/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Right ventricular (RV) systolic strain has recently demonstrated prognostic value in various cardiovascular diseases. Despite this, the reference range including the lower limit of normal (LLN) and factors associated with RV strain measurements are not well-established. This meta-analysis aimed to determine the mean and LLN of two- (2D) and three-dimensional (3D) right ventricular global (RVGLS), free wall (RVFWLS) and interventricular septal wall (IVSLS) longitudinal strains in healthy individuals and factors that affect strain measurements. METHODS In this meta-analysis, Pubmed, Embase and Cochrane databases were searched until 31 July 2020 for eligible studies reporting RVGLS, RVFWLS and/or IVSLS in at least 30 healthy subjects. We pooled the means and LLNs of RV strains by two- (2D) and three- (3D) dimensional echocardiography, and performed meta-regression analyses. RESULTS From 788 articles screened, 45 eligible studies totaling 4439 healthy subjects were eligible for analysis. Pooled means and LLNs with 95% confidence intervals for 2D- RV strains were RVGLS -23.4% (-24.2%, -22.6%) and -16.4% (-17.3%, -15.5%) in 27 studies; RVFWLS -26.9% (-28.0%, -25.9%) and -18.0% (-19.2%, -16.9%) in 32 studies; and IVSLS -20.4% (-22.0%, -18.9%) and -11.5% (-13.6%, -9.6%) in 10 studies, and similar results for 3D- RV strains. Right ventricular fractional area change and vendor software were associated with 2D-RVGLS and RVFWLS means and LLNs. CONCLUSION We reported the pooled means and LLNs of RV systolic strains in healthy subjects, to define thresholds for abnormal, borderline and normal strains. Important factors associated with RV systolic strains include right ventricular fractional area change and vendor software.
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Affiliation(s)
- Tom Kai Ming Wang
- Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
| | - Richard A. Grimm
- Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
| | - L. Leonardo Rodriguez
- Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
| | - Patrick Collier
- Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
| | - Brian P. Griffin
- Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
| | - Zoran B. Popović
- Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
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Wang TKM, Flamm SD, Schoenhagen P, Griffin BP, Rodriguez LL, Grimm RA, Xu B. Diagnostic and Prognostic Performance of Aortic Valve Calcium Score with Cardiac CT for Aortic Stenosis: A Meta-Analysis. Radiol Cardiothorac Imaging 2021; 3:e210075. [PMID: 34498008 PMCID: PMC8415142 DOI: 10.1148/ryct.2021210075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 04/29/2021] [Accepted: 08/02/2021] [Indexed: 04/12/2023]
Abstract
PURPOSE To evaluate the diagnostic and prognostic performance of the aortic valve calcium score (AVCS) with the Agatston method using CT in aortic stenosis (AS) and to assess mean AVCS according to AS severity. MATERIALS AND METHODS In this meta-analysis, PubMed, Embase, and Cochrane were searched from January 1, 1980, to December 31, 2020, for studies reporting sensitivity and specificity of AVCS using CT for severe AS, mean AVCS in severe and nonsevere AS, and/or hazard ratios for all-cause mortality in AS. Data were pooled using random effect models and meta-analysis software. RESULTS Twelve studies (six diagnostic, three prognostic, and 10 reporting mean AVCS by AS severity) were included for analysis. A total of 4101 patients (2255 with severe AS) were described in these 12 studies. Pooled sensitivity and specificity were 82% (95% CI: 80, 84) and 78% (95% CI: 75, 81), respectively. Pooled mean AVCS were 3219 (95% CI: 2795, 3643) for severe AS, compared with 1252 (95% CI: 863, 1640) for nonsevere AS, 1808 (95% CI: 1163, 2452) for moderate AS, and 584 (95% CI: 309, 859) for mild AS. Pooled hazard ratio for AVCS as a binary threshold to predict mortality was 2.11 (95% CI: 1.11, 4.12). CONCLUSION AVCS had moderate to high sensitivity and specificity for identifying severe AS and was also a useful prognostic imaging marker in AS. Mean AVCS categorized by AS severity may help guide clinical management.Keywords CT, Aortic Valve, Valves, Meta-Analysis© RSNA, 2021.
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