The “treatment planning” component of managing a radiotherapy patient currently consumes
hours, even days, of human effort. The time and workforce demands of the current planning …

Machine learning (ML) has the potential to revolutionize the field of radiation oncology, but
there is much work to be done. In this article, we approach the radiotherapy process from a …

At its very core, radiation oncology involves a trade-off between the benefits and risks of
exposing tumors and normal tissue to relatively high doses of ionizing radiation. This trade …

Purpose The purposes of this work are to (a) investigate whether the use of auto‐planning
and multiple iterations improves quality of head and neck (HN) radiotherapy plans;(b) …

Purpose To assess the impact of prospectively sparing the parotid ducts via MRI sialography
on patient reported xerostomia for those receiving definitive radiotherapy (RT) for …

Purpose The purpose of this study was to assess the quality of treatment planning using the
PlanIQTM software and to investigate whether it is possible to improve the quality of …

Aim Philips recently integrated PlanIQ with Autoplan® in Pinnacle 3 TPS (V16. 2). The
objective of the present work is to quantitatively demonstrate how this integration improves …

Background and purpose The efficacy of clinical trials and the outcome of patient treatment
are dependent on the quality assurance (QA) of radiation therapy (RT) plans. There are two …

Background Although there have been many attempts to increase the therapeutic ratio of
radiotherapy for gastric mucosa-associated lymphoid tissue lymphoma (MALToma), only a …

The purpose of this work is to objectively assess variability of intercampus plan quality for
head‐and‐neck (HN) cancer and to test utility of a priori feasibility dose–volume histograms …