2015
DOI: 10.1007/s00270-015-1213-1
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Usefulness of Cone-Beam Computed Tomography and Automatic Vessel Detection Software in Emergency Transarterial Embolization

Abstract: C-arm CBCT and AVD software during TAE of angiographically challenging arterial bleedings is feasible and may facilitate successful embolization. Staff training in CBCT imaging and software manipulation is necessary.

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Cited by 26 publications
(29 citation statements)
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“…Even transient movement during image acquisition negatively affects the quality of the entire image, resulting in risk of misinterpretation. 9,10 However, in our experience, the combination with the AVD software helps in the interpretation of the CBCT data set and provides the correct path to the bleeder also in the case of mild motion artefacts (Figure 3a-d).…”
Section: Advances In Imaging Guidancementioning
confidence: 99%
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“…Even transient movement during image acquisition negatively affects the quality of the entire image, resulting in risk of misinterpretation. 9,10 However, in our experience, the combination with the AVD software helps in the interpretation of the CBCT data set and provides the correct path to the bleeder also in the case of mild motion artefacts (Figure 3a-d).…”
Section: Advances In Imaging Guidancementioning
confidence: 99%
“…The feasibility and utility of CBCT and vessel-tracking software has primarily been proven in targeted chemoembolization of liver malignancies and benign prostate hyperplasia, with a reported detection accuracy of around 90% in detecting feeding branches. [8][9][10] Iwazawa and Carrafiello reported first experiences in emergency transarterial embolization. 9,10 On the basis of the data reported above, the use of angiographic CBCT and AVD software during embolization of arterial bleedings can improve operator confidence with embolization techniques in emergency settings, reduce overall procedural time and total contrast media administration and ultimately have an impact on treatment outcome.…”
Section: Advances In Imaging Guidancementioning
confidence: 99%
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