Quantitative vascularity of breast masses by Doppler imaging: regional variations and diagnostic implications

• Published in: Journal of ultrasound in medicine 2000-07, Vol.19 (7), p.427-440
• Main Authors: Sehgal, C. M, Arger, P. H, Rowling, S. E, Conant, E. F, Reynolds, C, Patton, J. A
• Format: Article
• Language: English
• Subjects: Adult; Aged; Area Under Curve; Biological and medical sciences; Biopsy; Breast - pathology; Breast Neoplasms - blood supply; Breast Neoplasms - diagnosis; Breast Neoplasms - diagnostic imaging; Diagnosis, Differential; Female; Genital system. Mammary gland; Gynecology. Andrology. Obstetrics; Humans; Investigative techniques, diagnostic techniques (general aspects); Mammary gland diseases; Medical sciences; Microcirculation; Middle Aged; Neovascularization, Pathologic; ROC Curve; Sensitivity and Specificity; Tumors; Ultrasonic investigative techniques; Ultrasonography, Doppler; Ultrasonography, Mammary
• ISSN: 0278-4297; 1550-9613
• DOI: 10.7863/jum.2000.19.7.427

Seventy‐four biopsy proven breast masses were imaged by color and power Doppler imaging to evaluate vascular pattern of malignant and benign breast masses. The images were analyzed for vascularity. The measurements were made over the entire mass as well as regionally at its core, at its periphery, and in the tissue surrounding it. The surgical specimens were analyzed for microvessel density. The diagnostic performance of Doppler sonographic vascularity indices was evaluated by receiver operating characteristic analysis. The malignant masses were 14 to 54% more vascular than the benign masses. Both types of masses were more vascular by ultrasonography than the tissue surrounding them. Whereas benign masses were 2.2 times more vascular than the surrounding tissue, the malignant masses were 5.0 times more vascular. In a subset of patients the regional vascularity at the core, periphery, and surrounding tissue by Doppler imaging exhibited a strong correlation (R2 > 0.9) with the corresponding histologic microvessel density measurements. Although the malignant masses exhibited a strong gradient in vascularity, core > periphery > surrounding tissue, the benign masses had relatively uniform distribution of vascularity. The area under the receiver operating characteristic curve (A(Z)) for the Doppler indices ranged from 0.56 +/‐ 0.07 to 0.65 +/‐ 0.07. A nonlinear analysis including age‐specific values of Doppler indices improved the diagnostic performance to A(Z) = 0.85 +/‐ 0.06. In conclusion, quantitative Doppler imaging when used in combination with a nonlinear rule‐based approach has the potential for differentiating between malignant and benign masses.