Diffusion weighted imaging for the differentiation of breast tumors: From apparent diffusion coefficient to high order diffusion tensor imaging
| Autor: | Tone Frost Bathen, Pål Erik Goa, Jose R. Teruel, Torill Eidhammer Sjøbakk, Agnes Østlie, Hans E. Fjøsne |
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| Rok vydání: | 2015 |
| Předmět: |
Physics
Pathology medicine.medical_specialty Receiver operating characteristic medicine.disease 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Nuclear magnetic resonance Breast cancer 030220 oncology & carcinogenesis Fractional anisotropy medicine Cutoff Effective diffusion coefficient Radiology Nuclear Medicine and imaging Diffusion (business) Anisotropy Diffusion MRI |
| Zdroj: | Journal of Magnetic Resonance Imaging. 43:1111-1121 |
| ISSN: | 1053-1807 |
| Popis: | Background To compare “standard” diffusion weighted imaging, and diffusion tensor imaging (DTI) of 2nd and 4th-order for the differentiation of malignant and benign breast lesions. Methods Seventy-one patients were imaged at 3 Tesla with a 16-channel breast coil. A diffusion weighted MRI sequence including b = 0 and b = 700 in 30 directions was obtained for all patients. The image data were fitted to three different diffusion models: isotropic model – apparent diffusion coefficient (ADC), 2nd-order tensor model (the standard model used for DTI) and a 4th-order tensor model, with increased degrees of freedom to describe anisotropy. The ability of the fitted parameters in the different models to differentiate between malignant and benign tumors was analyzed. Results Seventy-two breast lesions were analyzed, out of which 38 corresponded to malignant and 34 to benign tumors. ADC (using any model) presented the highest discriminative ability of malignant from benign tumors with a receiver operating characteristic area under the curve (AUC) of 0.968, and sensitivity and specificity of 94.1% and 94.7% respectively for a 1.33 × 10−3 mm2/s cutoff. Anisotropy measurements presented high statistical significance between malignant and benign tumors (P < 0.001), but with lower discriminative ability of malignant from benign tumors than ADC (AUC of 0.896 and 0.897 for fractional anisotropy and generalized anisotropy respectively). Statistical significant difference was found between generalized anisotropy and fractional anisotropy for cancers (P < 0.001) but not for benign lesions (P = 0.87). Conclusion While anisotropy parameters have the potential to provide additional value for breast applications as demonstrated in this study, ADC exhibited the highest differentiation power between malignant and benign breast tumors. J. Magn. Reson. Imaging 2015. |
| Databáze: | OpenAIRE |
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