Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI Model.

Andreassen, Maren M Sjaastad; Rodríguez-Soto, Ana E; Conlin, Christopher C; Vidić, Igor; Seibert, Tyler M; Wallace, Anne M; Zare, Somaye; Kuperman, Joshua et al. · Clin Cancer Res · 2021

prospective_cohort · Level II

Where this comes from

Abstract

Diffusion-weighted MRI (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between predefined benign and malignant breast lesions. However, how well DW-MRI discriminates cancer from all other breast tissue voxels in a clinical setting is unknown. Here we explore the voxelwise ability to distinguish cancer from healthy breast tissue using signal contributions from the newly developed three-component multi-b-value DW-MRI model. Patients with pathology-proven breast cancer from two datasets (<i>n</i> = 81 and <i>n</i> = 25) underwent multi-b-value DW-MRI. The three-component signal contributions <i>C</i> <sub>1</sub> and <i>C</i> <sub>2</sub> and their product, <i>C</i> <sub>1</sub> <i>C</i> <sub>2</sub>, and signal fractions <i>F</i> <sub>1</sub>, <i>F</i> <sub>2</sub>, and <i>F</i> <sub>1</sub> <i>F</i> <sub>2</sub> were compared with the image defined on maximum b-value (<i>DWI</i> <sub>max</sub>), conventional apparent diffusion coefficient (<i>ADC</i>), and apparent diffusion kurtosis (<i>K</i> <sub>app</sub>). The ability to discriminate between cancer and healthy breast tissue was assessed by the false-positive rate given a sensitivity of 80% (FPR<sub>80</sub>) and ROC AUC. Mean FPR<sub>80</sub> for both datasets was 0.016 [95% confidence interval (CI), 0.008-0.024] for <i>C</i> <sub>1</sub> <i>C</i> <sub>2</sub>, 0.136 (95% CI, 0.092-0.180) for <i>C</i> <sub>1</sub>, 0.068 (95% CI, 0.049-0.087) for <i>C</i> <sub>2</sub>, 0.462 (95% CI, 0.425-0.499) for <i>F</i> <sub>1</sub> <i>F</i> <sub>2</sub>, 0.832 (95% CI, 0.797-0.868) for <i>F</i> <sub>1</sub>, 0.176 (95% CI, 0.150-0.203) for <i>F</i> <sub>2</sub>, 0.159 (95% CI, 0.114-0.204) for <i>DWI</i> <sub>max</sub>, 0.731 (95% CI, 0.692-0.770) for <i>ADC</i>, and 0.684 (95% CI, 0.660-0.709) for <i>K</i> <sub>app</sub>. Mean ROC AUC for <i>C</i> <sub>1</sub> <i>C</i> <sub>2</sub> was 0.984 (95% CI, 0.977-0.991). The <i>C</i> <sub>1</sub> <i>C</i> <sub>2</sub> parameter of the three-component model yields a clinically useful discrimination between cancer and healthy breast tissue, superior to other DW-MRI methods and obliviating predefining lesions. This novel DW-MRI method may serve as noncontrast alternative to standard-of-care dynamic contrast-enhanced MRI.

Medical subject headings