Gindes Liat, Pretorius Dolores H, Romine Lorene E, Kfir Menashe, D'Agostini Deborah, Hull Andrew, Achiron Reuven
Department of Obstetrics and Gynecology, Chaim Sheba Medical Center, Tel-Hashomer, 52621 Ramat Gan, Israel.
J Ultrasound Med. 2009 Aug;28(8):977-88. doi: 10.7863/jum.2009.28.8.977.
The purpose of this study was to identify fetal abdominal vasculature with 3-dimensional (3D) ultrasonography and to describe a systematic method for analysis of volume data sets.
Three-dimensional volumes of the fetal abdomen were acquired prospectively in 30 patients between 15 and 34 weeks' gestation with color Doppler, high-definition (HD) flow, power Doppler, and B-flow imaging. All volumes were analyzed offline by 2 examiners separately. The feasibility of identifying the fetal abdominal blood vessels was analyzed. A standardized approach was applied to identify specific vessels by correlating the images with known anatomic landmarks.
The volumes were rotated into an anatomic orientation in the multiplanar mode, and then the vessels were identified in the following order: aorta (30 of 30), celiac trunk (29 of 30), superior mesenteric vein (28 of 30 and 26 of 30 for readers 1 and 2, respectively), superior mesenteric artery (29 of 30), left renal artery (25 of 30 and 26 of 30), right renal artery (27 of 30), common iliac arteries (30 of 30), umbilical arteries (26 of 27), external iliac arteries (20 of 22), umbilical vein (29 of 30), ductus venosus (30 of 30), hepatic vein (29 of 30), right portal vein (29 of 30), inferior vena cava (28 of 30), adrenal artery (2 of 30), hepatic artery (24 of 30 and 23 of 30), splenic artery (24 of 30 and 23 of 30), gastric artery (14 of 30 and 9 of 30), splenic vein (19 of 30 and 15 of 30), and renal vein (1 of 30). A step-by-step systematic approach to identify the abdominal vasculature from the ultrasonographic volume data set was developed.
Fetal abdominal vessels can be easily visualized when a systematic analysis is performed on 3D data set volumes. Visualization of the vessels was optimal when volumes were acquired with HD flow imaging.
