Quantitative assessment of angiogenesis in the chick embryo and its chorioallantoic membrane by computerised analysis of angiographic images.
We studied, in vivo, the angiogenesis process in the chick embryo and its chorioallantoic membrane (CAM) using digital subtraction angiography (DSA) in conjunction with computer-assisted image analysis. In a series of fertilised eggs, angiography was carried out at days 8, 10, 12 and 14 of embryonic development. The angiographic images were digitised and subsequently processed for a specific image analysis. A set of specific morphological parameters has been defined to allow an analytical characterisation of the vascularity status. Vessels were classified into three categories according to their diameter (50-100, 100-200, and > 200 microm). The data were normalised and statistically evaluated. Graphs showing the development of angiogenesis were obtained. Total vascular area revealed a continuous rise, whereas, total vascular length increased until day 12 and then it started decreasing. These morphometric parameters in the first two vessel categories progressively increased throughout the entire period of development, whereas in the third category they increased until day 10 and then they started decreasing. By applying a vascular casting technique CAM vessels were visualised and compared with those extracted from the processed angiographic image. The comparison revealed that there is exact matching for the first two vessel categories (diameters higher than 100 microm) while the matching of the third category (diameters between 50 and 100 microm) is approximate.
Nikiforidis
G
G
Department of Medical Physics, University Hospital, University of Patras School of Medicine, Rio, Greece.
Papazafiropoulos
D
D
Siablis
D
D
Karnabatidis
D
D
Hatjikondi
O
O
Dimopoulos
J
J
D000482:Allantois / Q000098:blood supply*; D015901:Angiography, Digital Subtraction / Q000379:methods*; D000818:Animals; D002642:Chick Embryo / Q000098:blood supply*; D002823:Chorion / Q000098:blood supply*; D007091:Image Processing, Computer-Assisted; D018919:Neovascularization, Physiologic