Cargando…

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

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 u...

Descripción completa

Detalles Bibliográficos
Autores principales: Dong, Honghuan, Kang, Linqing, Cheng, Sijia, Zhang, Rongju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636198/
https://www.ncbi.nlm.nih.gov/pubmed/34668649
http://dx.doi.org/10.1111/1759-7714.14187
_version_ 1784608485744312320
author Dong, Honghuan
Kang, Linqing
Cheng, Sijia
Zhang, Rongju
author_facet Dong, Honghuan
Kang, Linqing
Cheng, Sijia
Zhang, Rongju
author_sort Dong, Honghuan
collection PubMed
description 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 Online
Article
Text
id pubmed-8636198
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley & Sons Australia, Ltd
record_format MEDLINE/PubMed
spelling pubmed-86361982021-12-08 Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis Dong, Honghuan Kang, Linqing Cheng, Sijia Zhang, Rongju Thorac Cancer Original Articles 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. John Wiley & Sons Australia, Ltd 2021-10-20 2021-12 /pmc/articles/PMC8636198/ /pubmed/34668649 http://dx.doi.org/10.1111/1759-7714.14187 Text en © 2021 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Dong, Honghuan
Kang, Linqing
Cheng, Sijia
Zhang, Rongju
Diagnostic performance of dynamic contrast‐enhanced magnetic resonance imaging for breast cancer detection: An update meta‐analysis
title 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_short 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
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636198/
https://www.ncbi.nlm.nih.gov/pubmed/34668649
http://dx.doi.org/10.1111/1759-7714.14187
work_keys_str_mv AT donghonghuan diagnosticperformanceofdynamiccontrastenhancedmagneticresonanceimagingforbreastcancerdetectionanupdatemetaanalysis
AT kanglinqing diagnosticperformanceofdynamiccontrastenhancedmagneticresonanceimagingforbreastcancerdetectionanupdatemetaanalysis
AT chengsijia diagnosticperformanceofdynamiccontrastenhancedmagneticresonanceimagingforbreastcancerdetectionanupdatemetaanalysis
AT zhangrongju diagnosticperformanceofdynamiccontrastenhancedmagneticresonanceimagingforbreastcancerdetectionanupdatemetaanalysis