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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Determining the library size for the optimal output plan in the RapidPlan knowledge-based planning system using

Subhra S Biswal^1,2, Biplab Sarkar^1,2, Monika Goyal²

¹Department of Radiation Oncology, Apollo Multispeciality Hospitals, Kolkata, West Bengal-700054, India.

The British Journal of Radiology

|April 19, 2024

Summary

A minimal number of trade-off explored (TO) plans, as few as 20, are sufficient for building effective RapidPlan (RP) libraries. This finding indicates that the number of constituent plans does not significantly impact dosimetric output quality in knowledge-based planning.

Keywords:

RapidPlan knowledge-based planning library size multicriteria optimization optimal output plan

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Area of Science:

Radiation Oncology
Medical Physics
Radiotherapy Planning

Background:

Knowledge-based planning (KBP) in radiotherapy aims to automate treatment plan generation.
RapidPlan (RP) is a KBP system that utilizes libraries of previously created treatment plans.
The optimal size of these libraries for effective plan generation is not well-defined.

Purpose of the Study:

To determine the minimum number of trade-off explored (TO) plans required to build a RapidPlan (RP) library for optimal clinical treatment plan generation.
To assess the impact of library size on dosimetric outcomes for head and neck (HN) and cervix cancer treatment plans.

Main Methods:

Two RP models were developed for HN and cervix sites using 100 TO plans each.
Libraries were created using subsets of 20, 40, 60, 80, and 100 TO plans.
Treatment plans were validated using 70 validation patients (VP) per site.
Dosimetric parameters of RP-generated plans were compared against TO plans (TO_VP) using statistical analyses.

Main Results:

Minimal and clinically insignificant dosimetric variations were observed among output plans generated from RP libraries of varying sizes.
Planning target volume (PTV) coverage remained consistently high across all tested library sizes.
Organ at risk (OAR) dose variations were generally within clinically acceptable limits, with few exceptions.

Conclusions:

The number of constituent plans in an RP library is not critical for achieving optimal dosimetric output when trade-off exploration is employed.
An optimal clinical treatment plan can be generated using a library composed of as few as 20 TO plans.
This study simplifies the process of building KBP libraries without compromising treatment plan quality.