Cystic artery localization with a three-dimensional angiography vessel tracking system compared with conventional two-dimensional angiography. Academic Article uri icon

Overview

abstract

  • PURPOSE: During transcatheter hepatic therapy, the cystic artery feeding the gallbladder may inadvertently be exposed to tumor therapy. Localization of the cystic artery may help prevent exposure. The objective of this study was to compare the application of a vessel tracking system software based on three-dimensional (3D) angiography versus standard two-dimensional (2D) angiography for identifying the cystic artery and its origin. MATERIALS AND METHODS: A software system that can rapidly localize the cystic artery from a 3D common hepatic angiogram was applied in 25 patients and was compared with manual localization of the cystic artery with conventional 2D digital subtraction common hepatic angiograms. RESULTS: With the vessel tracking software prototype, 28 cystic arteries were retrogradely tracked in 25 of 25 cases. The origin sites were correctly located by the software in 27 of 28 cystic arteries, with one mistracked as a result of streak artifact. By contrast, on standard 2D hepatic angiography, the cystic artery was deemed visible with certainty in 12 of 25 cases (P < .001). The vessel tracking system revealed a 56% prevalence of extraanatomic distribution by the cystic artery, with the most common supply going to segment 5 liver parenchyma. CONCLUSIONS: The 3D vessel rapid tracking system has advantages over conventional 2D hepatic angiography in revealing the cystic artery and its origin site. It is also an important tool to identify the complete distribution of the cystic artery without superselective angiography. Supply to adjacent hepatic parenchyma or tumor by the cystic artery is not insignificant and should be considered during hepatic therapies.

publication date

  • May 5, 2011

Research

keywords

  • Angiography
  • Angiography, Digital Subtraction
  • Gallbladder
  • Hepatic Artery
  • Imaging, Three-Dimensional
  • Liver Neoplasms
  • Radiographic Image Interpretation, Computer-Assisted

Identity

Scopus Document Identifier

  • 80053327382

Digital Object Identifier (DOI)

  • 10.1016/j.jvir.2011.02.022

PubMed ID

  • 21546264

Additional Document Info

volume

  • 22

issue

  • 10