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Seminal vesicle inter- and intra-fraction motion during radiotherapy for prostate cancer: A review

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Abstract

A review of studies on seminal vesicle motion was performed to improve the understanding of these treatment uncertainties. This will aid planning target volume margin reduction, which is necessary for hypofractionation of high-risk prostate cancer. Embase, Medline, Web of science Core collection, Cochrane CENTRAL register of trials and Google scholar were searched for publications including 3D information on seminal vesicle motion. In total 646 publications were found of which 22 publications were eligible for inclusion. The mean, systematic and random error of inter- and intra-fraction translations are reported, as well as rotations. The translations of the seminal vesicles is smallest in the left–right direction, whereas the rotation was largest around this axis. Although rectal and bladder filling status were the main cause for seminal vesicle motion, no apparent effect on magnitude of motion was seen when different bladder and rectal preparation protocols were used. Inter- and intra-fraction motion of the seminal vesicles is significant. In the studies, systematic and random errors range between 1–7 mm and 1–5 mm respectively, and are largely uncorrelated to prostate motion. The maximum correlation between seminal vesicle and prostate motion was reported with an R2 of 0.7, while 3 other studies report lower and/or non-significant correlations. Five studies report a planning target volume margin of approximately 8 mm. This margin is in line with the results of four relevant dosimetric studies. Mitigating the inter- and intra-fraction motion of the seminal vesicles, including prostate tracking, has the potential to reduce planning target volume margins.

Original languageEnglish
Pages (from-to)15-24
Number of pages10
JournalRadiotherapy and Oncology
Volume169
DOIs
Publication statusPublished - Apr 2022

Bibliographical note

Funding Information:
This work was in part funded by a research grant of Accuray Inc. , Sunnyvale, USA.

Publisher Copyright: © 2022 The Authors

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This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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