Literature DB >> 21448950

Diagnostic usefulness of water-to-fat ratio and choline concentration in malignant and benign breast lesions and normal breast parenchyma: an in vivo (1) H MRS study.

Sunitha B Thakur1, Sandra B Brennan, Nicole M Ishill, Elizabeth A Morris, Laura Liberman, D David Dershaw, Lia Bartella, Jason A Koutcher, Wei Huang.   

Abstract

PURPOSE: To compare total choline concentrations ([Cho]) and water-to-fat (W/F) ratios of subtypes of malignant lesions, benign lesions, and normal breast parenchyma and determine their usefulness in breast cancer diagnosis. Reference standard was histology.
MATERIALS AND METHODS: In this HIPPA compliant study, proton MRS was performed on 93 patients with suspicious lesions (>1 cm) who underwent MRI-guided interventional procedures, and on 27 prospectively accrued women enrolled for screening MRI. (W/F) and [Cho] values were calculated using MRS data.
RESULTS: Among 88 MRS-evaluable histologically-confirmed lesions, 40 invasive ductal carcinoma (IDC); 10 invasive lobular carcinoma (ILC); 4 ductal carcinoma in situ (DCIS); 3 invasive mammary carcinoma (IMC); 31 benign. No significant difference observed in (W/F) between benign lesions and normal breast tissue. The area under curve (AUC) of receiver operating characteristic (ROC) curves for discriminating the malignant group from the benign group were 0.97, 0.72, and 0.99 using [Cho], (W/F) and their combination as biomarkers, respectively. (W/F) performs significantly (P < 0.0001;AUC = 0.96) better than [Cho] (AUC = 0.52) in differentiating IDC and ILC lesions.
CONCLUSION: Although [Cho] and (W/F) are good biomarkers for differentiating malignancy, [Cho] is a better marker. Combining both can further improve diagnostic accuracy. IDC and ILC lesions have similar [Cho] levels but are discriminated using (W/F) values.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21448950     DOI: 10.1002/jmri.22493

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  13 in total

Review 1.  Proton MR spectroscopy in the breast: Technical innovations and clinical applications.

Authors:  Reza Fardanesh; Maria Adele Marino; Daly Avendano; Doris Leithner; Katja Pinker; Sunitha B Thakur
Journal:  J Magn Reson Imaging       Date:  2019-03-07       Impact factor: 4.813

Review 2.  Background, current role, and potential applications of radiogenomics.

Authors:  Katja Pinker; Fuki Shitano; Evis Sala; Richard K Do; Robert J Young; Andreas G Wibmer; Hedvig Hricak; Elizabeth J Sutton; Elizabeth A Morris
Journal:  J Magn Reson Imaging       Date:  2017-11-02       Impact factor: 4.813

Review 3.  Near-infrared optical mammography for breast cancer detection with intrinsic contrast.

Authors:  Sergio Fantini; Angelo Sassaroli
Journal:  Ann Biomed Eng       Date:  2011-10-05       Impact factor: 3.934

4.  Quantitative in vivo proton MR spectroscopic assessment of lipid metabolism: Value for breast cancer diagnosis and prognosis.

Authors:  Sunitha B Thakur; Joao V Horvat; Ileana Hancu; Olivia M Sutton; Blanca Bernard-Davila; Michael Weber; Jung Hun Oh; Maria Adele Marino; Daly Avendano; Doris Leithner; Sandra Brennan; Dilip Giri; Elizabeth Manderski; Elizabeth A Morris; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2019-01-03       Impact factor: 4.813

Review 5.  In vivo proton magnetic resonance spectroscopy of breast cancer: a review of the literature.

Authors:  Jonathan K P Begley; Thomas W Redpath; Patrick J Bolan; Fiona J Gilbert
Journal:  Breast Cancer Res       Date:  2012-04-19       Impact factor: 6.466

6.  Diagnostic value of breast proton magnetic resonance spectroscopy at 1.5T in different histopathological types.

Authors:  Hyeon-Man Baek
Journal:  ScientificWorldJournal       Date:  2012-05-01

Review 7.  Breast Tissue Metabolism by Magnetic Resonance Spectroscopy.

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

8.  Non-invasive optical estimate of tissue composition to differentiate malignant from benign breast lesions: A pilot study.

Authors:  Paola Taroni; Anna Maria Paganoni; Francesca Ieva; Antonio Pifferi; Giovanna Quarto; Francesca Abbate; Enrico Cassano; Rinaldo Cubeddu
Journal:  Sci Rep       Date:  2017-01-16       Impact factor: 4.379

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

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