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. 2014 Jul 13;5(7):585-9.
doi: 10.7150/jca.9785. eCollection 2014.

3.0T MR-CAD: Clinical Value in Diagnosis of Breast Tumor Compared with Conventional MRI

Affiliations

3.0T MR-CAD: Clinical Value in Diagnosis of Breast Tumor Compared with Conventional MRI

Yu-Hui Liu et al. J Cancer. .

Abstract

Purpose: to explore the clinical value of 3.0T magnetic resonance (MR) imaging compared with computer-aided MR diagnosis (MR-CAD) in differential diagnosis of benign and malignant breast tumors.

Materials and methods: MRI method and MR-CAD method was used in the diagnosis of a total of 93 breast lesions of 78 patients, based on the morphological and time-intensity-curve (TIC) analysis. The accuracy of the two modalities in differentiating malignant and benign breast tumor was compared.

Results: MR-CAD method yielded a statistically better accuracy than MRI method. For 51 mass-like lesions, MRI and MR-CAD had no difference in diagnosing accuracy, but MR-CAD had better accuracy in 42 non-mass-like lesions.

Conclusion: MR-CAD had a notable advantage over MRI in differential diagnosis of benign and malignant breast tumors, especially non-mass-like tumor.

Keywords: 3.0T magnetic resonance imaging; computer-aided MR diagnosis.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interest exists.

Figures

Figure 1
Figure 1
Diagram showing the morphologic analysis procedure.
Figure 2
Figure 2
A patient with histologically proven infiltrative ductal carcinoma with a history of five years after right beast radical mastectomy. A non-mass-like lesion was identified in the inner upper quadrant of left breast, which was diagnosed as benign lesion based on morphological analysis by using dynamic contrast enhanced MRI (A~H indicating time serial dynamics) on workstation.
Figure 3
Figure 3
Same case with Figure 2. A diagnosis of malignant tumor was made by using MR-CAD, which revealed a good percentage of area of quick wash-in and wash-out within the lesion.
Figure 4
Figure 4
Diagram showing the time intensity curve (TIC) analysis procedure.

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