Literature DB >> 16040903

Adding in vivo quantitative 1H MR spectroscopy to improve diagnostic accuracy of breast MR imaging: preliminary results of observer performance study at 4.0 T.

Sina Meisamy1, Patrick J Bolan, Eva H Baker, Matthew G Pollema, Chap T Le, Frederick Kelcz, Mary C Lechner, Barbara A Luikens, Richard A Carlson, Kathy R Brandt, Kimberly K Amrami, Michael T Nelson, Lenore I Everson, Tim H Emory, Todd M Tuttle, Douglas Yee, Michael Garwood.   

Abstract

PURPOSE: To determine whether the addition of in vivo quantitative hydrogen 1 (1H) magnetic resonance (MR) spectroscopy can improve the radiologist's diagnostic accuracy in interpreting breast MR images to distinguish benign from malignant lesions.
MATERIALS AND METHODS: The study was approved by the institutional review board and, where appropriate, was compliant with the Health Insurance Portability and Accountability Act. All patients provided written informed consent. Fifty-five breast MR imaging cases-one lesion each in 55 patients aged 24-66 years with biopsy-confirmed findings-were retrospectively evaluated by four radiologists. Patients were examined with contrast material-enhanced fat-suppressed T1-weighted 4.0-T MR imaging. The concentration of total choline-containing compounds (tCho) was quantified by using single-voxel 1H MR spectroscopy. For each case, the radiologists were asked to give the percentage probability of malignancy, the Breast Imaging and Reporting Data System category, and a recommendation for patient treatment. Two interpretations were performed for each case: The initial interpretation was based on the lesion's morphologic features and time-signal intensity curve, and the second interpretation was based on the lesion's morphologic features, time-signal intensity curve, and tCho concentration. Receiver operating characteristic (ROC), Wilcoxon signed rank, kappa statistic, and accuracy (based on the area under the ROC curve) analyses were performed.
RESULTS: Of the 55 lesions evaluated, 35 were invasive carcinomas and 20 were benign. The addition of 1H MR spectroscopy resulted in higher sensitivity, specificity, accuracy, and interobserver agreement for all four radiologists. More specifically, two of the four radiologists achieved a significant improvement in sensitivity (P=.03, P=.03), and all four radiologists achieved a significant improvement in accuracy (P = .01, P = .05, P = .009, P < .001).
CONCLUSION: Current study results suggest that the addition of quantitative 1H MR spectroscopy to the breast MR imaging examination may help to improve the radiologist's ability to distinguish benign from malignant breast lesions.

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Mesh:

Year:  2005        PMID: 16040903     DOI: 10.1148/radiol.2362040836

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  34 in total

1.  In vivo proton MR spectroscopy of pancreatic neuroendocrine tumors in a multiple endocrine neoplasia type 1 conditional knockout mouse model.

Authors:  Min-Hui Cui; Craig A Branch; Sean M Cahill; Thomas J Quinn; Asha Adem; Steven K Libutti; Ziqiang Yuan
Journal:  Magn Reson Med       Date:  2014-11-13       Impact factor: 4.668

2.  (1)H MR spectroscopy with external reference solution at 1.5 T for differentiating malignant and benign breast lesions: comparison using qualitative and quantitative approaches.

Authors:  Waka Mizukoshi; Eito Kozawa; Kaiji Inoue; Naoko Saito; Naoko Nishi; Toshiaki Saeki; Fumiko Kimura
Journal:  Eur Radiol       Date:  2012-07-10       Impact factor: 5.315

3.  [Functional and molecular imaging of breast tumors].

Authors:  K Pinker; P Brader; G Karanikas; K El-Rabadi; W Bogner; S Gruber; M Reisegger; S Trattnig; T H Helbich
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

4.  MR Spectroscopy in the diagnosis and treatment of breast cancer.

Authors:  Michael T Nelson; Lenore I Everson; Michael Garwood; Tim Emory; Patrick J Bolan
Journal:  Semin Breast Dis       Date:  2008-06-01

5.  A high spatial resolution 1H magnetic resonance spectroscopic imaging technique for breast cancer with a short echo time.

Authors:  Jiani Hu; Yingjian Yu; Zhifeng Kou; Wei Huang; Quan Jiang; Yang Xuan; Tao Li; Vivek Sehgal; Cassann Blake; E Mark Haacke; Renate L Soulen
Journal:  Magn Reson Imaging       Date:  2007-09-27       Impact factor: 2.546

Review 6.  Metabolite quantification and high-field MRS in breast cancer.

Authors:  Ihab S Haddadin; Adeka McIntosh; Sina Meisamy; Curt Corum; Angela L Styczynski Snyder; Nathaniel J Powell; Michael T Nelson; Douglas Yee; Michael Garwood; Patrick J Bolan
Journal:  NMR Biomed       Date:  2009-01       Impact factor: 4.044

Review 7.  Biochemical characterization of breast tumors by in vivo and in vitro magnetic resonance spectroscopy (MRS).

Authors:  Uma Sharma; Naranamangalam R Jagannathan
Journal:  Biophys Rev       Date:  2009-01-17

8.  Feasibility of single-voxel MRS measurement of apparent diffusion coefficient of water in breast tumors.

Authors:  C A Corum; A D McIntosh; P J Bolan; M Nelson; A L Snyder; N J Powell; J Boyum; T H Emory; D Yee; T M Tuttle; L I Everson; M Garwood
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

Review 9.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

Review 10.  Multiparametric MR Imaging of Breast Cancer.

Authors:  Habib Rahbar; Savannah C Partridge
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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