2015
DOI: 10.1111/hepr.12556
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Efficacy of automated tumor‐feeder detection software using cone‐beam computed tomography technology in transarterial embolization through extrahepatic collateral vessels for malignant hepatic tumors

Abstract: AFD has a sufficient ability to identify extrahepatic tumor-feeders and may improve the safety and local effects of TACE/TAE of extrahepatic collaterals.

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Cited by 13 publications
(8 citation statements)
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“…In particular, the AFD software was better than DSA in terms of highlevel detectability of tumor feeders arising from the cystic, left gastric, and right colic arteries (Fig. 5) [4]. The AFD software can increase the effectiveness and safety of TACE/ TAE through such extrahepatic collaterals.…”
Section: Efficacy Of the Afd Software In Tace/tae Of Extrahepatic Colmentioning
confidence: 98%
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“…In particular, the AFD software was better than DSA in terms of highlevel detectability of tumor feeders arising from the cystic, left gastric, and right colic arteries (Fig. 5) [4]. The AFD software can increase the effectiveness and safety of TACE/ TAE through such extrahepatic collaterals.…”
Section: Efficacy Of the Afd Software In Tace/tae Of Extrahepatic Colmentioning
confidence: 98%
“…In TACE for HCC, the virtual target lesion should include a safety margin for treatment around the tumor (approximately 5 mm wide for tumors < 25 mm and 10 mm wide for tumors !25 mm). If the tumors are supplied by extrahepatic collaterals such as the cystic, gastric, or colonic artery, the safety margin should not be included to avoid nontarget embolization [4]. The target lesion is automatically superimposed on the 3-D arteriogram from CBCTA images by using a volume-rendering technique.…”
Section: Afd Softwarementioning
confidence: 99%
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“…The use of dedicated software has been shown to improve the detection of vessels supplying tumours when compared to conventional DSA or manual CBCT two-dimensional (2D) multiplanar reconstructions (10, 12, 13); however, previous studies have not fully examined the potential impact of A-CBCT vessel segmentation in conjunction with display software from a variety of intraprocedural and operator perspectives.…”
Section: Introductionmentioning
confidence: 99%