Literature DB >> 23614364

Morphological distribution and internal enhancement architecture of contrast-enhanced magnetic resonance imaging in the diagnosis of non-mass-like breast lesions: a meta-analysis.

Zhenzhen Shao1, Haitao Wang, Xubin Li, Peifang Liu, Shuping Zhang, Shan Cao.   

Abstract

The aim of this study is to assess the diagnostic performance of contrast-enhanced magnetic resonance (MR) imaging in patients with non-mass-like breast lesions in a meta-analysis. Literature study was performed on PubMed data base on the diagnostic performance of MR imaging in patients with non-mass-like breast lesions. Details of the relevant studies were reviewed and a meta-analysis was performed to estimate the overall sensitivity and specificity of contrast-enhanced MR imaging of non-mass-like breast lesions. A summary receiver operating characteristic curve (sROC) was developed to explore the threshold effect by ROC space. Spearman correlation coefficient was calculated using Meta-Disc version 1.4 to analyze the heterogeneity between studies. A total of 858 non-mass-like lesions from 15 studies were included in the meta-analysis (sample size range: 27-131). Pooled weighted estimates of sensitivity and specificity were 50% (95% CI: 46%, 53%) and 80% (95% CI: 77%, 83%), respectively. The heterogeneity among studies was caused by other factors other than threshold effect. The findings were influenced by cancer prevalence (p = 0.0359). Subgroup analyses indicated that the sensitivity and specificity in studies with combined diagnostic criterion was higher than that in studies with single diagnostic criterion. In evaluation of non-mass-like breast lesions, contrast-enhanced MRI has high specificity and relatively lower sensitivity.
© 2013 Wiley Periodicals, Inc.

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Year:  2013        PMID: 23614364     DOI: 10.1111/tbj.12101

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  6 in total

1.  The MRI characteristics of non-mass enhancement lesions of the breast: associations with malignancy.

Authors:  Hale Aydin
Journal:  Br J Radiol       Date:  2019-01-29       Impact factor: 3.039

2.  Dynamic contrast-enhanced breast magnetic resonance imaging findings that affect the magnetic resonance-directed ultrasound correlation of non-mass enhancement lesions: a single-center retrospective study.

Authors:  Almila Coskun Bilge; Pinar Ilhan Demir; Hale Aydin; Isil Esen Bostanci
Journal:  Br J Radiol       Date:  2022-01-07       Impact factor: 3.629

3.  The Effect of the Leptin and Leptin Receptor Expression on the Efficacy of Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Yan Kong; Qian Dong; Hong Ji; Meixiang Sang; Yan Ding; Meng Zhao; Huichai Yang; Cuizhi Geng
Journal:  Med Sci Monit       Date:  2019-04-24

4.  Additive value of texture analysis based on breast MRI for distinguishing between benign and malignant non-mass enhancement in premenopausal women.

Authors:  Yu Tan; Hui Mai; Zhiqing Huang; Li Zhang; Chengwei Li; Songxin Wu; Huang Huang; Wen Tang; Yongxi Liu; Kuiming Jiang
Journal:  BMC Med Imaging       Date:  2021-03-12       Impact factor: 1.930

5.  Non-Mass Enhancements on DCE-MRI: Development and Validation of a Radiomics-Based Signature for Breast Cancer Diagnoses.

Authors:  Yan Li; Zhenlu L Yang; Wenzhi Z Lv; Yanjin J Qin; Caili L Tang; Xu Yan; Yihao H Guo; Liming M Xia; Tao Ai
Journal:  Front Oncol       Date:  2021-09-22       Impact factor: 6.244

6.  Significance of Additional Non-Mass Enhancement in Patients with Breast Cancer on Preoperative 3T Dynamic Contrast Enhanced MRI of the Breast.

Authors:  Yun Hee Cho; Kyu Ran Cho; Eun Kyung Park; Bo Kyoung Seo; Ok Hee Woo; Sung Bum Cho; Jeoung Won Bae
Journal:  Iran J Radiol       Date:  2016-01-23       Impact factor: 0.212

  6 in total

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