Breast lesion characterization using whole-lesion histogram analysis with stretched-exponential diffusion model

Background

Diffusion-weighted imaging (DWI) has been studied in breast imaging and can provide more information about diffusion, perfusion and other physiological interests than standard pulse sequences. The stretched-exponential model has previously been shown to be more reliable than conventional DWI techniques, but different diagnostic sensitivities were found from study to study.

Purpose

This work investigated the characteristics of whole-lesion histogram parameters derived from the stretched-exponential diffusion model for benign and malignant breast lesions, compared them with conventional apparent diffusion coefficient (ADC), and further determined which histogram metrics can be best used to differentiate malignant from benign lesions.

Study Type

This was a prospective study.

Population

Seventy females were included in the study.

Field Strength/Sequence

Multi-b value DWI was performed on a 1.5T scanner.

Assessment

Histogram parameters of whole lesions for distributed diffusion coefficient (DDC), heterogeneity index (α), and ADC were calculated by two radiologists and compared among benign lesions, ductal carcinoma in situ (DCIS), and invasive carcinoma confirmed by pathology.

Statistical Tests

Nonparametric tests were performed for comparisons among invasive carcinoma, DCIS, and benign lesions. Comparisons of receiver operating characteristic (ROC) curves were performed to show the ability to discriminate malignant from benign lesions.

Results

The majority of histogram parameters (mean/min/max, skewness/kurtosis, 10–90^th percentile values) from DDC, α, and ADC were significantly different among invasive carcinoma, DCIS, and benign lesions. DDC_10% (area under curve [AUC] = 0.931), ADC_10% (AUC = 0.893), and α_mean (AUC = 0.787) were found to be the best metrics in differentiating benign from malignant tumors among all histogram parameters derived from ADC and α, respectively. The combination of DDC_10% and α_mean, using logistic regression, yielded the highest sensitivity (90.2%) and specificity (95.5%).

Data Conclusion

DDC_10% and α_mean derived from the stretched-exponential model provides more information and better diagnostic performance in differentiating malignancy from benign lesions than ADC parameters derived from a monoexponential model.

Level of Evidence: 2

Technical Efficacy: Stage 2

J. Magn. Reson. Imaging 2017.

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