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The contribution of diffusion tensor imaging and magnetic resonance spectroscopy for the differentiation of breast lesions at 3T

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Auteur
Tsougos, I.; Svolos, P.; Kousi, E.; Athanassiou, E.; Theodorou, K.; Arvanitis, D.; Fezoulidis, I.; Vassiou, K.
Date
2014
DOI
10.1177/0284185113492152
Sujet
Spectroscopy
diffusion tensor imaging
breast tumor
3T
PROTON MR SPECTROSCOPY
POSITIVE PREDICTIVE-VALUE
MAMMARY
EPITHELIAL-CELLS
IN-VIVO
PHOSPHOLIPID-METABOLISM
INTERPRETATION
MODEL
CHOLINE PEAK
CANCER
H-1
MALIGNANCY
Radiology, Nuclear Medicine & Medical Imaging
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Résumé
Background: Conventional breast magnetic resonance imaging (MRI), including dynamic contrast-enhanced MR mammography (DCE-MRM), may lead to ambiguous diagnosis and unnecessary biopsies. Purpose: To investigate the contribution of proton MR spectroscopy (IH-MRS) combined with diffusion tensor imaging (DTI) metrics in the discrimination between benign and malignant breast lesions. Material and Methods: Fifty-one women with known breast abnormalities from conventional imaging were examined on a 3T MR scanner. DTI was performed during breast MRI, and fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were measured in the breast lesions and the contralateral normal breast. FA and ADC were compared between malignant lesions, benign lesions, and normal tissue. IH-MRS was performed after gadolinium administration and choline peak was qualitatively evaluated. Results: In our study IH-MRS showed a sensitivity of 93.5%, specificity 80%, and accuracy 88.2%. FA was significantly higher in breast carcinomas compared to benign lesions. However, no significant difference was observed in ADC between benign and malignant lesions. The combination of Cho presence and FA achieved higher levels of accuracy and specificity in discriminating malignant from benign lesions over Cho presence or FA alone. Conclusion: In conclusion, applying DTI and IH-MRS together, adds incremental diagnostic value in the characterization of breast lesions and may sufficiently improve the low specificity of conventional breast MRI.
URI
http://hdl.handle.net/11615/34070
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