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Fig. 1 | BMC Gastroenterology

Fig. 1

From: Impact of cone-beam computed tomography with automated feeder detection software on the survival outcome of patients with hepatocellular carcinoma during treatment with conventional transarterial chemoembolization

Fig. 1

Cone-beam computed tomography (CBCT) with automated tumor-feeder detection software assisted conventional transarterial chemoembolization (cTACE). A Gadoxetic acid-enhanced MRI in the arterial phase in a 58-year-old male with chronic viral hepatitis-B cirrhosis showing two hyperenhancing nodules (arrows) in liver segment 5. Hepatobiliary phase imaging at 20 min after injection shows two hypointense nodules (arrows) against the background of enhancing liver parenchyma, which may indicate HCC. BC Dual-phase CBCT during hepatic arteriography could depict all tumors (arrows) with corona enhancement (arrowheads). D Common hepatic arteriogram showed two faint tumor stains (arrows). However, the tumor-feeders were unclear. E Automated tumor-feeder detection software identified the feeders (arrowhead) of each tumor (arrows). F Tumor-feeder (arrowhead) was selectively embolized during cTACE. Complete tumor staining (arrows) was demonstrated from spot image on digital subtraction angiography. GH CBCT immediately after cTACE showed dense iodized oil accumulation in all tumors (arrows) with a sufficient safety margin (arrowheads). I Enhanced CT performed 1 year after selective cTACE showed dense iodized oil accumulation in all tumors without tumor recurrence

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