Abstract
<div>Abstract<p>While there is an increasing role of ultrasound for breast cancer screening in patients with dense breast, conventional anatomical ultrasound lacks sensitivity and specificity for early breast cancer detection. In this study, we assessed the potential of ultrasound molecular imaging using clinically translatable vascular endothelial growth factor receptor type 2 (VEGFR2)-targeted microbubbles (MB<sub>VEGFR2</sub>) to improve the diagnostic accuracy of ultrasound in earlier detection of breast cancer and ductal carcinoma <i>in situ</i> (DCIS) in a transgenic mouse model [FVB/N-Tg(MMTV-PyMT)634Mul]. <i>In vivo</i> binding specificity studies (<i>n</i> = 26 tumors) showed that ultrasound imaging signal was significantly higher (<i>P</i> < 0.001) using MB<sub>VEGFR2</sub> than nontargeted microbubbles and imaging signal significantly decreased (<i>P</i> < 0.001) by blocking antibodies. Ultrasound molecular imaging signal significantly increased (<i>P</i> < 0.001) when breast tissue (<i>n</i> = 315 glands) progressed from normal [1.65 ± 0.17 arbitrary units (a.u.)] to hyperplasia (4.21 ± 1.16), DCIS (15.95 ± 1.31), and invasive cancer (78.1 ± 6.31) and highly correlated with <i>ex vivo</i> VEGFR2 expression [<i>R</i><sup>2</sup> = 0.84; 95% confidence interval (CI), 0.72–0.91; <i>P</i> < 0.001]. At an imaging signal threshold of 4.6 a.u., ultrasound molecular imaging differentiated benign from malignant entities with a sensitivity of 84% (95% CI, 78–88) and specificity of 89% (95% CI, 81–94). In a prospective screening trail (<i>n</i> = 63 glands), diagnostic performance of detecting DCIS and breast cancer was assessed and two independent readers correctly diagnosed malignant disease in more than 95% of cases and highly agreed between each other [intraclass correlation coefficient (ICC) = 0.98; 95% CI, 97–99]. These results suggest that VEGFR2-targeted ultrasound molecular imaging allows highly accurate detection of DCIS and breast cancer in transgenic mice and may be a promising approach for early breast cancer detection in women. <i>Cancer Res; 73(6); 1689–98. ©2012 AACR</i>.</p></div>
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