Presentation + Paper
4 April 2022 Visual grading characteristic (VGC) analysis of uterine artery embolisation (UAE) image quality assessment by interventional radiologists and interventional radiographers
Author Affiliations +
Abstract
Visual grading characteristic (VGC) analysis was used to investigate the performance of interventional radiologists and interventional radiographers when assessing uterine artery embolisation (UAE) image quality. The observers rated the image quality of 20 randomised DSA (digital subtraction angiography) series using a five-point rating scale, which compared Group A (optimised UAE radiation dose; n = 50) with a reference Group B (control group; n = 50). VGC analysis resulted in an area under the VGC curve (AUCVGC) of 0.52 for interventional radiologists (P = 0.83) and 0.55 for interventional radiographers (P = 0.61). Radiation dose reduction had no effect on observer image quality assessments.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Don J. Nocum, John Robinson, Mark Halaki, Magnus Båth, Nejc Mekiš, Eisen Liang, Nadine Thompson, Michelle Moscova, and Warren Reed "Visual grading characteristic (VGC) analysis of uterine artery embolisation (UAE) image quality assessment by interventional radiologists and interventional radiographers", Proc. SPIE 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, 120350I (4 April 2022); https://doi.org/10.1117/12.2612548
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KEYWORDS
Image quality

Visualization

Visual analytics

Angiography

Statistical analysis

Medical imaging

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