Literature DB >> 25260884

In vivo post-contrast 1H-MRS evaluation of malignant and benign breast lesions: a meta-analysis.

Jieying Tan1, Li Xu, Wenqing Yao, Yun Wan, Shuqin Zhou, Sherman Xuegang Xin.   

Abstract

The aim of this study is to perform a meta-analysis to evaluate the diagnostic performance of the in vivo post-contrast proton magnetic resonance spectroscopy (MRS) for benign/malignant discrimination of focal breast lesions. Sixteen studies with a total of 661 malignant breast lesions and 388 benign breast lesions were included. The pooled sensitivity and specificity of post-contrast 1H-MRS were 74 % (95 % confidence interval (CI) 70-77 %) and 78 % (95 % CI 73-82 %), respectively. The positive likelihood ratio (PLR) and the negative likelihood ratio (NLR) were 4.00 (95 % CI 2.74-5.84) and 0.25 (95 % CI 0.17-0.37), respectively. From the fitted summary receiver operating characteristics curve (SROC), the AUC and Q* index were 0.89 and 0.83. Publication bias was present (t = 2.43, P = 0.029). Meta-regression analysis suggested that neither threshold effect nor evaluated covariates including method of choline analysis, strength of field, pulse sequence, repetition time (TR), and time interval were sources of heterogeneity (all P values >0.05). In vivo post-contrast 1H-MRS was useful for differentiation between malignant and benign focal breast lesions. However, pooled diagnostic measures might be overestimated. The standardization of the acquisition protocol as well as the post-processing method for post-contrast proton MRS need to be established for the future study.

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Year:  2014        PMID: 25260884     DOI: 10.1007/s13277-014-2635-0

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  34 in total

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2.  Re: Improved diagnostic accuracy in differentiating malignant and benign lesions using single-voxel proton MRS of the breast at 3 T MRI.

Authors:  B Battal; Y Bozkurt; S Hamcan; V Akgun
Journal:  Clin Radiol       Date:  2013-10-23       Impact factor: 2.350

3.  1H MR spectroscopy and diffusion-weighted imaging of the breast: are they useful tools for characterizing breast lesions before biopsy?

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4.  Differential diagnosis between malignant and benign breast lesions using single-voxel proton MRS: a meta-analysis.

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Journal:  J Cancer Res Clin Oncol       Date:  2014-03-06       Impact factor: 4.553

5.  Three-dimensional proton MR spectroscopic imaging at 3 T for the differentiation of benign and malignant breast lesions.

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Journal:  Radiology       Date:  2011-10-13       Impact factor: 11.105

6.  Improved diagnostic accuracy in differentiating malignant and benign lesions using single-voxel proton MRS of the breast at 3 T MRI.

Authors:  S Suppiah; K Rahmat; M N Mohd-Shah; C A Azlan; L K Tan; Y F A Aziz; A Vijayananthan; A L Wui; C H Yip
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  6 in total

1.  Reply to: "in vivo post-contrast 1H-MRS evaluation of malignant and benign breast lesions: a meta-analysis".

Authors:  Li Xu
Journal:  Tumour Biol       Date:  2015-08-13

2.  Comments on "In vivo post-contrast 1H-MRS evaluation of malignant and benign breast lesions: a meta-analysis".

Authors:  Zhenyin Liu; Jing Zhang
Journal:  Tumour Biol       Date:  2015-05-22

3.  1H-MRS evaluation of breast lesions by using total choline signal-to-noise ratio as an indicator of malignancy: a meta-analysis.

Authors:  Xin Wang; Xiang Jiang Wang; Hui Sheng Song; Long Hua Chen
Journal:  Med Oncol       Date:  2015-04-21       Impact factor: 3.064

Review 4.  Clinical Breast MR Using MRS or DWI: Who Is the Winner?

Authors:  Francesco Sardanelli; Luca Alessandro Carbonaro; Stefania Montemezzi; Carlo Cavedon; Rubina Manuela Trimboli
Journal:  Front Oncol       Date:  2016-10-28       Impact factor: 6.244

Review 5.  Breast Tissue Metabolism by Magnetic Resonance Spectroscopy.

Authors:  Naranamangalam R Jagannathan; Uma Sharma
Journal:  Metabolites       Date:  2017-06-07

Review 6.  In vivo MR spectroscopy for breast cancer diagnosis.

Authors:  Uma Sharma; Naranamangalam Raghunathan Jagannathan
Journal:  BJR Open       Date:  2019-07-02
  6 in total

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