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Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions

BACKGROUND: To determine, in a meta-analysis, the diagnostic performance of quantitative diffusion-weighted (DW) MR imaging in patients with breast lesions. METHODS: English and Chinese studies published prior to June 2009 to assess the diagnostic performance of quantitative DWI in patients with bre...

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Autores principales: Chen, Xin, Li, Wen-ling, Zhang, Yi-li, Wu, Qian, Guo, You-min, Bai, Zhi-lan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024311/
https://www.ncbi.nlm.nih.gov/pubmed/21189150
http://dx.doi.org/10.1186/1471-2407-10-693
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author Chen, Xin
Li, Wen-ling
Zhang, Yi-li
Wu, Qian
Guo, You-min
Bai, Zhi-lan
author_facet Chen, Xin
Li, Wen-ling
Zhang, Yi-li
Wu, Qian
Guo, You-min
Bai, Zhi-lan
author_sort Chen, Xin
collection PubMed
description BACKGROUND: To determine, in a meta-analysis, the diagnostic performance of quantitative diffusion-weighted (DW) MR imaging in patients with breast lesions. METHODS: English and Chinese studies published prior to June 2009 to assess the diagnostic performance of quantitative DWI in patients with breast lesions were reviewed and summarized with reference to the inclusion and exclusion criteria. Methodological quality was assessed by using the quality assessment of diagnostic studies (QUADAS) instrument. Publication bias analysis was performed by using Comprehensive Meta-analysis version 2. Meta-Disc version 1.4 was used to describe primary results and explore homogeneity by Chi-square test and inconsistency index; to explore threshold effect by receiver operator characteristic (ROC) space and Spearman correlation coefficient; and to pool weighted sensitivity and specificity by fixed or random effect model. A summary ROC (sROC) curve was constructed to calculate the area under the curve (AUC). RESULTS: Of 65 eligible studies, 13 with 615 malignant and 349 benign lesions were included in the original meta-analysis, among which heterogeneity arising from factors other than threshold effect and publication bias was explored. Methodological quality was moderate. The pooled weighted sensitivity and specificity with corresponding 95% confidence interval (CI) in one homogenous subgroup of studies using maximum b = 1000 s/mm(2 )were 0.84 (0.80, 0.87) and 0.84 (0.79, 0.88) respectively. AUC of sROC was 0.9085. Sensitivity analysis demonstrated that the pooled estimates were stable and reliable. CONCLUSIONS: Quantitative DWI has a higher specificity to differentiate between benign and malignant breast lesions compared to that of contrast-enhanced MRI. However, large scale randomized control trials (RCTs) are necessary to assess its clinical value because of disunified diffusion gradient factor b and diagnosis threshold.
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spelling pubmed-30243112011-01-21 Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions Chen, Xin Li, Wen-ling Zhang, Yi-li Wu, Qian Guo, You-min Bai, Zhi-lan BMC Cancer Research Article BACKGROUND: To determine, in a meta-analysis, the diagnostic performance of quantitative diffusion-weighted (DW) MR imaging in patients with breast lesions. METHODS: English and Chinese studies published prior to June 2009 to assess the diagnostic performance of quantitative DWI in patients with breast lesions were reviewed and summarized with reference to the inclusion and exclusion criteria. Methodological quality was assessed by using the quality assessment of diagnostic studies (QUADAS) instrument. Publication bias analysis was performed by using Comprehensive Meta-analysis version 2. Meta-Disc version 1.4 was used to describe primary results and explore homogeneity by Chi-square test and inconsistency index; to explore threshold effect by receiver operator characteristic (ROC) space and Spearman correlation coefficient; and to pool weighted sensitivity and specificity by fixed or random effect model. A summary ROC (sROC) curve was constructed to calculate the area under the curve (AUC). RESULTS: Of 65 eligible studies, 13 with 615 malignant and 349 benign lesions were included in the original meta-analysis, among which heterogeneity arising from factors other than threshold effect and publication bias was explored. Methodological quality was moderate. The pooled weighted sensitivity and specificity with corresponding 95% confidence interval (CI) in one homogenous subgroup of studies using maximum b = 1000 s/mm(2 )were 0.84 (0.80, 0.87) and 0.84 (0.79, 0.88) respectively. AUC of sROC was 0.9085. Sensitivity analysis demonstrated that the pooled estimates were stable and reliable. CONCLUSIONS: Quantitative DWI has a higher specificity to differentiate between benign and malignant breast lesions compared to that of contrast-enhanced MRI. However, large scale randomized control trials (RCTs) are necessary to assess its clinical value because of disunified diffusion gradient factor b and diagnosis threshold. BioMed Central 2010-12-29 /pmc/articles/PMC3024311/ /pubmed/21189150 http://dx.doi.org/10.1186/1471-2407-10-693 Text en Copyright ©2010 Chen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Xin
Li, Wen-ling
Zhang, Yi-li
Wu, Qian
Guo, You-min
Bai, Zhi-lan
Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions
title Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions
title_full Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions
title_fullStr Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions
title_full_unstemmed Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions
title_short Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions
title_sort meta-analysis of quantitative diffusion-weighted mr imaging in the differential diagnosis of breast lesions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024311/
https://www.ncbi.nlm.nih.gov/pubmed/21189150
http://dx.doi.org/10.1186/1471-2407-10-693
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