Cardiovascular Magnetic Resonance Versus Histopathologic Study for Diagnosis of Benign and Malignant Cardiac Tumours: A Systematic Review and Meta-Analysis
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BACKGROUND: The gold standard for diagnosis of cardiac tumours is histopathological examination. Cardiovascular magnetic resonance (CMR) is a valuable non-invasive, radiation-free tool for identifying and characterizing cardiac tumours. Our aim is to understand CMR diagnosis of cardiac tumours by distinguishing benign vs. malignant tumours compared to the gold standard. METHODS: A systematic search was performed in the PubMed, Web of Science, and Scopus databases up to December 2022, and the results were reviewed by 2 independent investigators. Studies reporting CMR diagnosis were included in a meta-analysis, and pooled measures were obtained. The risk of bias was assessed using the Quality Assessment Tools from the National Institutes of Health. RESULTS: A total of 2,321 results was obtained; 10 studies were eligible, including one identified by citation search. Eight studies were included in the meta-analysis, which presented a pooled sensitivity of 93% and specificity of 94%, a diagnostic odds ratio of 185, and an area under the curve of 0.98 for CMR diagnosis of benign vs. malignant tumours. Additionally, 4 studies evaluated whether CMR diagnosis of cardiac tumours matched specific histopathological subtypes, with 73.6% achieving the correct diagnosis. CONCLUSIONS: To the best of our knowledge, this is the first published systematic review on CMR diagnosis of cardiac tumours. Compared to histopathological results, the ability to discriminate benign from malignant tumours was good but not outstanding. However, significant heterogeneity may have had an impact on our findings.
Abstract
BACKGROUND: The gold standard for diagnosis of cardiac tumours is histopathological examination. Cardiovascular magnetic resonance (CMR) is a valuable non-invasive, radiation-free tool for identifying and characterizing cardiac tumours. Our aim is to understand CMR diagnosis of cardiac tumours by distinguishing benign vs. malignant tumours compared to the gold standard. METHODS: A systematic search was performed in the PubMed, Web of Science, and Scopus databases up to December 2022, and the results were reviewed by 2 independent investigators. Studies reporting CMR diagnosis were included in a meta-analysis, and pooled measures were obtained. The risk of bias was assessed using the Quality Assessment Tools from the National Institutes of Health. RESULTS: A total of 2,321 results was obtained; 10 studies were eligible, including one identified by citation search. Eight studies were included in the meta-analysis, which presented a pooled sensitivity of 93% and specificity of 94%, a diagnostic odds ratio of 185, and an area under the curve of 0.98 for CMR diagnosis of benign vs. malignant tumours. Additionally, 4 studies evaluated whether CMR diagnosis of cardiac tumours matched specific histopathological subtypes, with 73.6% achieving the correct diagnosis. CONCLUSIONS: To the best of our knowledge, this is the first published systematic review on CMR diagnosis of cardiac tumours. Compared to histopathological results, the ability to discriminate benign from malignant tumours was good but not outstanding. However, significant heterogeneity may have had an impact on our findings.
참고문헌 (24)
- Bussani R, "Cardiac tumors : diagnosis, prognosis, and treatment", Curr Cardiol Rep, 22, pp.169~ (2020)
- Tyebally S, "Cardiac tumors : JACC CardioOncology state-of-the-art review", JACC CardioOncol, 2, pp.293~311 (2020)
- Maleszewski JJ, "Pathology, imaging, and treatment of cardiac tumours", Nat Rev Cardiol, 14, pp.536~549 (2017)
- Aggeli C, "Cardiac masses : the role of cardiovascular imaging in the differential diagnosis", Diagnostics(Basel), 10, pp.1088~ (2020)
- Motwani M, "MR imaging of cardiac tumors and masses : a review of methods and clinical applications", Radiology, 268, pp.26~43 (2013)
- Braggion-Santos MF, "Magnetic resonance imaging evaluation of cardiac masses", Arq Bras Cardiol, 101, pp.263~272 (2013)
- Poterucha TJ, "Cardiac tumors : clinical presentation, diagnosis, and management", Curr Treat Options Oncol, 20, pp.66~ (2019)
- McInnes MDF, "Preferred reporting items for a systematic review and meta-analysis of diagnostic test accuracy studies : the PRISMA-DTA statement", JAMA, 319, pp.388~396 (2018)
- Okeh UM, "Evaluating measures of indicators of diagnostic test performance : fundamental meanings and formulars", J Biomet Biostat, 3, pp.132~ (2012)
- Higgins JP, "Measuring inconsistency in meta-analyses", BMJ, 327, pp.557~560 (2003)
- Dwamena B, "Meta-analytical Integration of Diagnostic Accuracy Studies in Stata" (2007), Stata Users Group
- Harbord R, "METANDI: Stata Module to Perform Meta-Analysis of Diagnostic Accuracy" (2008), Boston College Department of Economics
- "Quality assessment tool for observational cohort and cross-sectional studies" (2021)[URL]
- Fussen S, "Cardiovascular magnetic resonance imaging for diagnosis and clinical management of suspected cardiac masses and tumours", Eur Heart J, 32, pp.1551~1560 (2011)
- Giusca S, "Incremental value of cardiac magnetic resonance for the evaluation of cardiac tumors in adults : experience of a high volume tertiary cardiology centre", Int J Cardiovasc Imaging, 33, pp.879~888 (2017)
- Hoffmann U, "Usefulness of magnetic resonance imaging of cardiac and paracardiac masses", Am J Cardiol, 92, pp.890~895 (2003)
- Kassi M, "Differentiating benign from malignant cardiac tumors with cardiac magnetic resonance imaging", J Thorac Cardiovasc Surg, 157, pp.1912~1922 (2019)[DOI]
- Lemasle M, "Contribution and performance of multimodal imaging in the diagnosis and management of cardiac masses", Int J Cardiovasc Imaging, 36, pp.971~981 (2020)
- Mousavi N, "Assessment of cardiac masses by cardiac magnetic resonance imaging : histological correlation and clinical outcomes", J Am Heart Assoc, 8, pp.e007829~ (2019)
- Shenoy C, "Cardiovascular magnetic resonance imaging in suspected cardiac tumour : a multicentre outcomes study", Eur Heart J, 43, pp.71~80 (2021)
- Tumma R, "Evaluation of cardiac masses by CMR-strengths and pitfalls : a tertiary center experience", Int J Cardiovasc Imaging, 32, pp.913~920 (2016)
- Zhu D, "Cardiac MRI-based multi-modality imaging in clinical decision-making : preliminary assessment of a management algorithm for patients with suspected cardiac mass", Int J Cardiol, 203, pp.474~481 (2016)
- Patel R, "Diagnostic performance of cardiac magnetic resonance imaging and echocardiography in evaluation of cardiac and paracardiac masses", Am J Cardiol, 117, pp.135~140 (2016)
- Glas AS, "The diagnostic odds ratio : a single indicator of test performance", J Clin Epidemiol, 56, pp.1129~1135 (2003)
