Quantification of coronary artery lumen volume by digital angiography: in vivo validation.
BACKGROUND
Coronary artery lumen volume may potentially have several advantages over the commonly used variables, such as percent stenosis or minimal lumen diameter, in the assessment of coronary artery disease. The goal of this study is to validate a quantitative assessment of lumen volume using a video densitometry technique.


RESULTS
Coronary arteriography was performed in 9 swine (body weight 20 to 55 kg) after power injection of contrast material (2 mL/s for 3 seconds) into the left main coronary artery. Phase-matched subtracted images were used to quantify regional lumen volume by a video densitometry technique. The in vivo volume measurements were validated by a polymer cast of the coronary arterial tree made at physiological pressure. The measured cast volume (V(C)) and video densitometric regional lumen volume (V(VD)) were related by V(VD)=1.06 V(C)-0.01 mL (r=0.99). The root mean square and systematic errors for these measurements were 17% and -3%, respectively.


CONCLUSIONS
A video densitometry technique for quantification of coronary lumen volume was validated both in vitro and in vivo in a swine animal model. The present results demonstrated the feasibility and potential utility of the video densitometry technique for accurate measurement of regional lumen volume in vivo. This study contributes to the understanding of the angiographic methods used for the assessment of coronary artery disease and indicates that this technique can potentially be used for quantification of diffuse coronary artery disease during routine coronary arteriography.
Molloi
S
S
Department of Radiological Sciences, University of California-Irvine, University of California-San Diego, USA.
Kassab
G S
GS
Zhou
Y
Y
D015901:Angiography, Digital Subtraction; D000818:Animals; D003287:Contrast Media; D017023:Coronary Angiography / Q000379:methods*; D003331:Coronary Vessels / Q000502:physiology*; D003720:Densitometry / Q000295:instrumentation / Q000379:methods; D005240:Feasibility Studies; D066298:In Vitro Techniques; D019047:Phantoms, Imaging; D011856:Radiographic Image Enhancement / Q000379:methods; D012044:Regression Analysis; D015203:Reproducibility of Results; D013552:Swine; D014654:Vascular Patency / Q000502:physiology*
D003287:Contrast Media