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. 2022 Oct;11(10):1683–1696. doi: 10.21037/gs-22-493

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2022 Gland Surgery. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

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Example of a ROI-driven workflow for analyzing contrast-enhanced ultrasound images. Delimitation ROI (blue) delineates the processing area, excluding any non-echo data such as text, color bars, or image borders. ROI 1 (green) included the entire tumor boundary on conventional ultrasound with reference to the contrast-enhanced image. ROI 2 (yellow) included 1mm circles that targeted the greatest enhancement point, aided by the color-coded imaging and peak enhancement values generated by VueBox. ROI 3 (red) encircled a large surrounding normal gland including the same image acquisition plane in the same depth and without obvious vessels. Time-intensity curves were generated, and the color-coded perfusion parameters were analyzed. ROI, regions of interest.