Literature DB >> 23706826

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

S Suppiah1, K Rahmat, M N Mohd-Shah, C A Azlan, L K Tan, Y F A Aziz, A Vijayananthan, A L Wui, C H Yip.   

Abstract

AIM: To investigate the diagnostic accuracy of single-voxel proton magnetic resonance spectroscopy (SV (1)H MRS) by quantifying total choline-containing compounds (tCho) in differentiating malignant from benign lesions, and subsequently, to analyse the relationship of tCho levels in malignant breast lesions with their histopathological subtypes.
MATERIALS AND METHODS: A prospective study of SV 1H MRS was performed following dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in 61 women using a 3 T MR system. All lesions (n = 57) were analysed for characteristics of morphology, contrast-enhancement kinetics, and tCho peak heights at SV (1)H MRS that were two-times above baseline. Subsequently, the tCho in selected lesions (n = 32) was quantified by calculating the area under the curve, and a tCho concentration equal to or greater than the cut-off value was considered to represent malignancy. The relationship between tCho in invasive ductal carcinomas (IDCs) and their Bloom & Richardson grading of malignancy was assessed.
RESULTS: Fifty-two patients (57 lesions; 42 malignant and 15 benign) were analysed. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), of predicting malignancy were 100, 73.3, 91.3, and 100%, respectively, using DCE-MRI and 95.2, 93.3, 97.6, and 87.5%, respectively, using SV (1)H MRS. The tCho cut-off for receiver operating characteristic (ROC) curve was 0.33 mmol/l. The relationship between tCho levels in malignant breast lesions with their histopathological subtypes was not statistically significant (p = 0.3).
CONCLUSION: Good correlation between tCho peaks and malignancy, enables SV (1)H MRS to be used as a clinically applicable, simple, yet non-invasive tool for improved specificity and diagnostic accuracy in detecting breast cancer.
Copyright © 2013 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23706826     DOI: 10.1016/j.crad.2013.04.002

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  9 in total

Review 1.  The Efficiency of Diffusion Weighted MRI and MR Spectroscopy On Breast MR Imaging.

Authors:  Canan Altay; Pınar Balcı
Journal:  J Breast Health       Date:  2014-10-01

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

Authors:  Dongzhi Cen; Li Xu
Journal:  J Cancer Res Clin Oncol       Date:  2014-03-06       Impact factor: 4.553

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

Authors:  Jieying Tan; Li Xu; Wenqing Yao; Yun Wan; Shuqin Zhou; Sherman Xuegang Xin
Journal:  Tumour Biol       Date:  2014-09-27

Review 4.  Focus on the glycerophosphocholine pathway in choline phospholipid metabolism of cancer.

Authors:  Kanchan Sonkar; Vinay Ayyappan; Caitlin M Tressler; Oluwatobi Adelaja; Ruoqing Cai; Menglin Cheng; Kristine Glunde
Journal:  NMR Biomed       Date:  2019-06-11       Impact factor: 4.044

5.  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 6.  Proton magnetic resonance spectroscopy in oncology: the fingerprints of cancer?

Authors:  Roberto García-Figueiras; Sandra Baleato-González; Anwar R Padhani; Laura Oleaga; Joan C Vilanova; Antonio Luna; Juan Carlos Cobas Gómez
Journal:  Diagn Interv Radiol       Date:  2016 Jan-Feb       Impact factor: 2.630

7.  A pilot evaluation of magnetic resonance imaging characteristics seen with solid papillary carcinomas of the breast in 4 patients.

Authors:  Lina Zhang; Ling Zhuang; Chang Shi; Yanwei Miao; Weisheng Zhang; Qingwei Song; Jianyun Kang; Zhijin Lang; Xuegang Xin; Ailian Liu; Jiani Hu
Journal:  BMC Cancer       Date:  2017-08-07       Impact factor: 4.430

8.  Clinical relevance of total choline (tCho) quantification in suspicious lesions on multiparametric breast MRI.

Authors:  Claudia Sodano; Paola Clauser; Matthias Dietzel; Panagiotis Kapetas; Katja Pinker; Thomas H Helbich; Alexander Gussew; Pascal Andreas Baltzer
Journal:  Eur Radiol       Date:  2020-02-17       Impact factor: 5.315

Review 9.  In vivo MR spectroscopy for breast cancer diagnosis.

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

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