Alessandro Scaggion1, Marco Fusella2, Antonella Roggio3, Simonetta Bacco4, Nicola Pivato5, Marco Andrea Rossato6, Lucia Mariel Arana Peña7, Marta Paiusco8. 1. Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy. Electronic address: alessandro.scaggion@iov.veneto.it. 2. Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy. Electronic address: marco.fusella@iov.veneto.it. 3. Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy. Electronic address: antonella.rogggio@iov.veneto.it. 4. Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy. Electronic address: simonetta.bacco@iov.veneto.it. 5. Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy. Electronic address: nicola.pivato@iov.veneto.it. 6. Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy. Electronic address: marcoandrea.rossato@iov.veneto.it. 7. Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy; The Abdus Salam International Centre for Theoretical Physics, Strada Costiera 11, 34151 Trieste, Italy. Electronic address: larana_p@ictp.it. 8. Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy. Electronic address: marta.paiusco@iov.veneto.it.
Abstract
PURPOSE: This study measured to which extent RapidPlan can drive a reduction of the human-caused variability in prostate cancer treatment planning. METHODS: Seventy clinical prostate plans were used to train a RapidPlan model. Seven planners, with different levels of planning experience, were asked to plan a VMAT treatment for fifteen prostate cancer patients with and without RapidPlan assistance. The plans were compared on the basis of target coverage, conformance and OAR sparing. Inter-planner and intra-planner variability were assessed on the basis of the Plan Quality Metric formalism. Differences in mean values and InterQuartile Ranges between patients and operators were assessed. RESULTS: RapidPlan-assisted plans matched manual planning in terms of target coverage, homogeneity, conformance and bladder sparing but outperformed it for rectum and femoral heads sparing. 8 out of 15 patients showed a statistically significant increase in overall quality. Inter-planner variability is reduced in RapidPlan-assisted planning for rectum and femoral heads while bladder variability was constant. The inter-planner variability of the overall plan quality, IQR of PQM%, was approximately halved for all patients. RapidPlan assistance induced a larger increase in plan quality for less experienced planners. At the same time, a reduction in intra-planner variability is measured with a significant overall reduction. CONCLUSIONS: The assistance of RapidPlan during the optimization of treatments for prostate cancer induces a significant increase of plan quality and a contextual reduction of plan variability. RapidPlan is proven to be a valuable tool to leverage the planning skills of less experienced planners ensuring a better homogeneity of treatment plan quality.
PURPOSE: This study measured to which extent RapidPlan can drive a reduction of the human-caused variability in prostate cancer treatment planning. METHODS: Seventy clinical prostate plans were used to train a RapidPlan model. Seven planners, with different levels of planning experience, were asked to plan a VMAT treatment for fifteen prostate cancerpatients with and without RapidPlan assistance. The plans were compared on the basis of target coverage, conformance and OAR sparing. Inter-planner and intra-planner variability were assessed on the basis of the Plan Quality Metric formalism. Differences in mean values and InterQuartile Ranges between patients and operators were assessed. RESULTS: RapidPlan-assisted plans matched manual planning in terms of target coverage, homogeneity, conformance and bladder sparing but outperformed it for rectum and femoral heads sparing. 8 out of 15 patients showed a statistically significant increase in overall quality. Inter-planner variability is reduced in RapidPlan-assisted planning for rectum and femoral heads while bladder variability was constant. The inter-planner variability of the overall plan quality, IQR of PQM%, was approximately halved for all patients. RapidPlan assistance induced a larger increase in plan quality for less experienced planners. At the same time, a reduction in intra-planner variability is measured with a significant overall reduction. CONCLUSIONS: The assistance of RapidPlan during the optimization of treatments for prostate cancer induces a significant increase of plan quality and a contextual reduction of plan variability. RapidPlan is proven to be a valuable tool to leverage the planning skills of less experienced planners ensuring a better homogeneity of treatment plan quality.
Authors: E Claridge Mackonis; J Sykes; N Hardcastle; A Espinoza; A Brown; G Perez; B Evans; H Sheehan; A Haworth Journal: Phys Eng Sci Med Date: 2022-09-05
Authors: N Patrik Brodin; Leslie Schulte; Christian Velten; William Martin; Sydney Shen; Jin Shen; Amar Basavatia; Nitin Ohri; Madhur K Garg; Colin Carpenter; Wolfgang A Tomé Journal: J Appl Clin Med Phys Date: 2022-04-23 Impact factor: 2.243
Authors: April Smith; Andrew Granatowicz; Cole Stoltenberg; Shuo Wang; Xiaoying Liang; Charles A Enke; Andrew O Wahl; Sumin Zhou; Dandan Zheng Journal: Technol Cancer Res Treat Date: 2019 Jan-Dec