Correlation between 2- and 3-dimensional assessment of tumor volume and vascular density by ultrasonography in a transgenic mouse model of mammary carcinoma.
OBJECTIVE
Visualization and quantification of angiogenesis are instrumental in development of antiangiogenic therapy. Although both 2-dimensional (2D) and 3-dimensional (3D) ultrasonography have been used to monitor tumor growth and vasculature development, the correlation between them has not been sufficiently investigated. We hereby investigated the 2D and 3D sonographic correlation for tumor volume and vascular density confirmed by histologic assessment in the polyoma virus middle T antigen (PyMT) mouse model of mammary carcinoma.


METHODS
Female PyMT mouse tumors were evaluated by ultrasonography in the 2D region of interest (ROI), 3D tumor volume, and 2D and 3D microvascular density after a bolus infusion of a nontargeted contrast-enhanced microbubble agent. Texas Red-dextran was used for quantitative histologic assessment of the tumor microvascular density.


RESULTS
The individual 2D tumor ROI area correlated with the 3D tumor volume throughout the 2-week period. However, the extent of the increase in the 3D volume (380%; P < .01; n = 10) was higher than that of the 2D ROI area (72%; P < .01; n = 8-11). A significant and comparable increase in vascular density accessed by both 2D (87%; P < .05; n = 8) and 3D (64%; P < .05; n = 8) imaging was documented. Vascular density obtained through 3D imaging correlated significantly with 2D measurement. These data were confirmed by Texas Red-dextran quantification of vascular density. Conclusions. This study showed a valid application of sonographically based imaging technology in tumor volume and vascular density assessment as well as their 2D and 3D correlation, of which tumor vascular density measured by 2D ultrasonography appeared to be better correlated with the 3D data. Our data indicate that ultrasonography can be applied for real-time, accurate, noninvasive imaging of the tumor volume and vascular density in preclinical models.
Zhao
Lei
L
Discovery Translational Medicine, Wyeth Research, 500 Arcola Rd, Collegeville, PA 19426, USA. zhaoleo1997@yahoo.com
Zhan
Yutian
Y
Rutkowski
J Lynn
JL
Feuerstein
Giora Z
GZ
Wang
Xinkang
X
D000818:Animals; D003287:Contrast Media; D005260:Female; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D016014:Linear Models; D015674:Mammary Neoplasms, Animal / Q000000981:diagnostic imaging* / Q000473:pathology; D051379:Mice; D008822:Mice, Transgenic; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging*; D047368:Tumor Burden; D014463:Ultrasonography; D014966:Xanthenes
D003287:Contrast Media; D014966:Xanthenes; C034657:Texas red