Fully automated radiotherapy treatment planning: A scan to plan challenge.
Gooding, Mark J Aluwini, Shafak Guerrero Urbano, Teresa McQuinlan, Yasmin Om, Deborah Staal, Floor H E Perennec, Tanguy Azzarouali, Sana Cardenas, Carlos E Carver, Antony
Gooding, Mark J
Aluwini, Shafak
Guerrero Urbano, Teresa
McQuinlan, Yasmin
Om, Deborah
Staal, Floor H E
Perennec, Tanguy
Azzarouali, Sana
Cardenas, Carlos E
Carver, Antony
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2024-09-01
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Abstract
Background and purpose: Over the past decade, tools for automation of various sub-tasks in radiotherapy planning have been introduced, such as auto-contouring and auto-planning. The purpose of this study was to benchmark what degree of automation is possible.
Materials and methods: A challenge to perform automated treatment planning for prostate and prostate bed radiotherapy was set up. Participants were provided with simulation CTs and a treatment prescription and were asked to use automated tools to produce a deliverable radiotherapy treatment plan with as little human intervention as possible. Plans were scored for their adherence to the protocol when assessed using consensus expert contours.
Results: Thirteen entries were received. The top submission adhered to 81.8% of the minimum objectives across all cases using the consensus contour, meeting all objectives in one of the ten cases. The same system met 89.5% of objectives when assessed with their own auto-contours, meeting all objectives in four of the ten cases. The majority of systems used in the challenge had regulatory clearance (Auto-contouring: 82.5%, Auto-planning: 77%). Despite the 'hard' rule that participants should not check or edit contours or plans, 69% reported looking at their results before submission.
Conclusions: Automation of the full planning workflow from simulation CT to deliverable treatment plan is possible for prostate and prostate bed radiotherapy. While many generated plans were found to require none or minor adjustment to be regarded as clinically acceptable, the result indicated there is still a lack of trust in such systems preventing full automation.
Citation
Gooding MJ, Aluwini S, Guerrero Urbano T, McQuinlan Y, Om D, Staal FHE, Perennec T, Azzarouali S, Cardenas CE, Carver A, Korreman SS, Bibault JE. Fully automated radiotherapy treatment planning: A scan to plan challenge. Radiother Oncol. 2024 Nov;200:110513. doi: 10.1016/j.radonc.2024.110513. Epub 2024 Sep 1.
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Article