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Using in vivo EPID images to detect and quantify patient anatomy changes with gradient dose segmented analysis by Steers, Jennifer M.; Zavala Bojorquez, Jorge; Moore, Kevin; Bojechko, Casey is a Medicine article available to read on EtoBox.

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## Purpose: To investigate the utility of gradient dose segmented analysis (gdsa) in combination with in vivo electronic portal imaging device (epid) images to predict changes in the ptv mean dose for patient cases. also, we use the gdsa to retrospectively analyze patients treated in our clinic to assess deviations for different treatment sites and use time-series data to observe any day-to-day changes. ## Methods: In vivo epid transit images acquired on the varian halcyon were analyzed for simulated errors in a phantom, including gas bubbles, weight loss, patient shifts, and an arm erroneously in the field. gdsa threshold parameters were tuned to maximize the coefficient of determination (r ) between gdsa metrics and the change in the ptv mean dose (d ) as estimated in a treatment planning system (tps). similarly for a gamma analysis, the gamma criteria were adjusted to maximize r between gamma pass rate and the change in the ptv d from the tps. the predictive accuracy of these models was tested on patient data measuring the mean and standard deviation of the difference in the predicted change in ptv d and the change in ptv d measured in the tps. this analysis was extended retrosp

Who reads Using in vivo EPID images to detect and quantify patient anatomy changes with gradient dose segmented analysis?

Author

Steers, Jennifer M.; Zavala Bojorquez, Jorge; Moore, Kevin; Bojechko, Casey

Publisher

American Institute of Physics; Wiley (John Wiley & Sons); John Wiley and Sons Inc.; Wiley; Research Square (ISSN 0094-2405)

Published

2020

Language

EN

Field

Medicine (Health Sciences)