Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis

Abstract Objective To evaluate the diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) for breast cancer identification. Methods A comprehensive electronic systematic searching of Medline, Ovid, EMBASE, Web of Science, CNK, and Cochrane Library databases was perf...

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Autores principales:	Honghuan Dong, Linqing Kang, Sijia Cheng, Rongju Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	breast cancer DCE‐MRI diagnosis meta‐analysis Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/2717394790f0471c8a6bddcd817fd4fd
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spelling	oai:doaj.org-article:2717394790f0471c8a6bddcd817fd4fd2021-12-02T02:34:55ZDiagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis1759-77141759-770610.1111/1759-7714.14187https://doaj.org/article/2717394790f0471c8a6bddcd817fd4fd2021-12-01T00:00:00Zhttps://doi.org/10.1111/1759-7714.14187https://doaj.org/toc/1759-7706https://doaj.org/toc/1759-7714Abstract Objective To evaluate the diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) for breast cancer identification. Methods A comprehensive electronic systematic searching of Medline, Ovid, EMBASE, Web of Science, CNK, and Cochrane Library databases was performed up to 2 August 2021. Clinical studies associated with DCE‐MRI for breast cancer detection were screened and inlcuded in the meta‐analysis. The data of true positive(tp), false positive(fp), false negative(fn) and true negative(tn) was extracted from includded studies. The sensitivity, specificity, diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) were pooled under fixed or random effect models. Publication bias was evaluated by Deek's funnel plot. Results A final set of 15 studies with 1321 breast lesions were included in the present work. The pooled diagnostic sensitivity, specificity, and DOR were 0.87 (95% confidence interval [CI] 0.81–0.92), 0.74 (95% CI 0.68–0.80), and 18.83 (95% CI 9.07–36.54), respectively, and the area under the SROC was 0.86 (95% CI 0.82–0.88). Given a pretest probability of 50%, the positive post‐test probability was 77%, and the negative post‐test probability was 14%. Deek's funnel plot indicated low publication bias (p = 0.61). Conclusion DCE‐MRI is a noninvasive method of breast cancer diagnosis for suspected malignant breast lesions with relative high diagnostic sensitivity and specificity.Honghuan DongLinqing KangSijia ChengRongju ZhangWileyarticlebreast cancerDCE‐MRIdiagnosismeta‐analysisNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENThoracic Cancer, Vol 12, Iss 23, Pp 3201-3207 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	breast cancer DCE‐MRI diagnosis meta‐analysis Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	breast cancer DCE‐MRI diagnosis meta‐analysis Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Honghuan Dong Linqing Kang Sijia Cheng Rongju Zhang Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis
description	Abstract Objective To evaluate the diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) for breast cancer identification. Methods A comprehensive electronic systematic searching of Medline, Ovid, EMBASE, Web of Science, CNK, and Cochrane Library databases was performed up to 2 August 2021. Clinical studies associated with DCE‐MRI for breast cancer detection were screened and inlcuded in the meta‐analysis. The data of true positive(tp), false positive(fp), false negative(fn) and true negative(tn) was extracted from includded studies. The sensitivity, specificity, diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) were pooled under fixed or random effect models. Publication bias was evaluated by Deek's funnel plot. Results A final set of 15 studies with 1321 breast lesions were included in the present work. The pooled diagnostic sensitivity, specificity, and DOR were 0.87 (95% confidence interval [CI] 0.81–0.92), 0.74 (95% CI 0.68–0.80), and 18.83 (95% CI 9.07–36.54), respectively, and the area under the SROC was 0.86 (95% CI 0.82–0.88). Given a pretest probability of 50%, the positive post‐test probability was 77%, and the negative post‐test probability was 14%. Deek's funnel plot indicated low publication bias (p = 0.61). Conclusion DCE‐MRI is a noninvasive method of breast cancer diagnosis for suspected malignant breast lesions with relative high diagnostic sensitivity and specificity.
format	article
author	Honghuan Dong Linqing Kang Sijia Cheng Rongju Zhang
author_facet	Honghuan Dong Linqing Kang Sijia Cheng Rongju Zhang
author_sort	Honghuan Dong
title	Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis
title_short	Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis
title_full	Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis
title_fullStr	Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis
title_full_unstemmed	Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis
title_sort	diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: an update meta‐analysis
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/2717394790f0471c8a6bddcd817fd4fd
work_keys_str_mv	AT honghuandong diagnosticperformanceofdynamiccontrastenhancedmagneticresonanceimagingforbreastcancerdetectionanupdatemetaanalysis AT linqingkang diagnosticperformanceofdynamiccontrastenhancedmagneticresonanceimagingforbreastcancerdetectionanupdatemetaanalysis AT sijiacheng diagnosticperformanceofdynamiccontrastenhancedmagneticresonanceimagingforbreastcancerdetectionanupdatemetaanalysis AT rongjuzhang diagnosticperformanceofdynamiccontrastenhancedmagneticresonanceimagingforbreastcancerdetectionanupdatemetaanalysis
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Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis

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