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Detection of choline signal in human breast lesions with chemical‐shift imaging
Author(s) -
Baek HyeonMan,
Chen JeonHor,
Yu Hon J.,
Mehta Rita,
Nalcioglu Orhan,
Su MinYing
Publication year - 2008
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.21309
Subject(s) - choline , signal (programming language) , breast imaging , medicine , radiology , computer science , mammography , breast cancer , cancer , programming language
Purpose To investigate the application of MR spectroscopy using chemical‐shift imaging (CSI) for characterizing human breast lesions at 1.5T, and to evaluate the diagnostic performance using ROC (receiver operating characteristics) analysis. Materials and Methods Thirty‐six patients (35–73 years old, mean 52), with 27 malignant and 9 benign lesions, underwent anatomical imaging, dynamic contrast‐enhanced MR imaging, and CSI. The ROC analysis was performed and the cutoff point yielding the highest accuracy was found to be a choline (Cho) signal‐to‐noise ratio (SNR) >3.2. Results The mean Cho SNR was 2.8 ± 0.8 (range, 1.8–4.3) for the benign group and 5.9 ± 3.4 (2.1–17.5) for the malignant group ( P = 0.01). Based on the criterion of Cho SNR >3.2 as malignant, CSI correctly diagnosed 22 of 27 malignant lesions and 7 of 9 benign lesions, resulting in a sensitivity of 81%, specificity of 78%, and overall accuracy of 81%. If the criterion was set higher at Cho SNR >4.0 the specificity improved to 89% but sensitivity was lowered to 67%. Conclusion The ROC analysis presented in this work could be used to set an objective diagnostic criterion depending on preferred emphasis on sensitivity or specificity. J. Magn. Reson. Imaging 2008;27:1114–1121. © 2008 Wiley‐Liss, Inc.