Diffusion-Weighted Imaging of Breast Cancer: Correlation of the Apparent Diffusion Coefficient Value with Pathologic Prognostic Factors
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Original Article
P: 262-267
October 2019

Diffusion-Weighted Imaging of Breast Cancer: Correlation of the Apparent Diffusion Coefficient Value with Pathologic Prognostic Factors

Eur J Breast Health 2019;15(4):262-267
1. Department of Radiology, Koru Hospital, Ankara, Turkey
2. Department of Radiology, Başkent University School of Medicine, Ankara, Turkey
3. Department of Pathology, Başkent University School of Medicine, Ankara, Turkey
4. Department of General Surgery, Başkent University School of Medicine, Ankara, Turkey
No information available.
No information available
Received Date: 26.03.2019
Accepted Date: 24.06.2019
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ABSTRACT

Objective:

The aim was to evaluate relationship between apparent diffusion coefficient (ADC) values with pathologic prognostic factors in breast carcinoma (BC).

Materials and Methods:

83 patients were enrolled in this study. Prognostic factors included age, tumor size, expression of estrogen receptor (ER) and progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), nuclear grade (NG), lymph node involvement and histologic type. The relationship between ADC and prognostic factors was determined using Independent sample t-test, ANOVA, Pearson correlation and relative operating characteristics (ROC) analysis.

Results:

There was no significant difference between ADC and prognostic factors, including age, tumor size, ER, HER2 and histologic type. The PRpositive tumors (p=0.03) and axillary lymph node involvement (p=0.000) showed a significant association with lower ADC values. The ADC values were significantly lower in high-grade tumors than low-grade tumors (p=0.000). ROC analysis showed an optimal ADC threshold of 0.66 (×10-3 mm2/s) for differentiating low-grade tumors from high-grade tumors (sensitivity, 85.5%; specificity, 81%; area under curve, 0.90).

Conclusion:

The lower ADC values of BC were significantly associated with positive expression of PR, LN positivity and high-grade tumor. Especially, ADC values were valuable in predicting NG subgroups

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