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Pre-optimization method for quick prediction of achievability of clinical goals in intensity modulated radiation therapy

A radiation therapy and target technology, applied in the field of oncology treatment and radiation therapy, can solve the problems of unavailable, plan optimization unable to converge, unobtainable, etc.

Active Publication Date: 2018-10-23
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Conversely, in some cases the desired dose distribution may not be available or may not be available for a given preselected setting (e.g. beam / patient orientation, number of pulses)
In this case, plan optimization will fail to converge to the ideal solution

Method used

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  • Pre-optimization method for quick prediction of achievability of clinical goals in intensity modulated radiation therapy
  • Pre-optimization method for quick prediction of achievability of clinical goals in intensity modulated radiation therapy
  • Pre-optimization method for quick prediction of achievability of clinical goals in intensity modulated radiation therapy

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Embodiment Construction

[0019] In the methods disclosed herein, prior to performing computationally intensive intensity-modulated radiation therapy (IMRT) plan optimization, clinicians (e.g., oncologists, dosimetrists, etc.) The chosen IMRT geometry can generate an estimate of the likelihood of an IMRT plan.

[0020] More specifically, an estimate of the realizability is determined for the IMRT geometry that includes the target volume to be irradiated (usually a cancerous tumor but possibly some other malignant volume, such as a highly metastatic region of an organ) , an organ at risk of damage (OAR) due to undesired radiation exposure, and at least one radiation beam. Achievability estimates are calculated based on the relative spatial arrangement of the target area, the OAR, and the at least one radiation beam. In an illustrative embodiment, the achievability estimate is not based on the target volume or any dose target for the OAR (the latter typically being the maximum allowable dose).

[0021]...

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Abstract

An achievability estimate is computed for an intensity modulated radiation therapy (IMRT) geometry (32) including a target volume, an organ at risk (OAR), and at least one radiation beam. Namely, a geometric complexity (GC) metric is computed for the IMRT geometry that compares a number NT of beamlets of the at least one radiation beam available in the IMRT geometry for irradiating the target volume and a number n of these beamlets that also pass through the OAR. A GC metric ratio is computed of the GC metric for the IMRT geometry and the GC metric for a reference IMRT geometry for which an IMRT plan is achievable. If the clinician is satisfied with this estimate then optimization (38) of an IMRT plan for the IMRT geometry (32) is performed. Alternatively, a reference IMRT geometry is selected by comparing the GC metric with GC metrics of past IMRT plans.

Description

technical field [0001] The following generally relates to the field of radiation therapy, the field of intensity modulated radiation therapy (IMRT), the field of volume modulated arc therapy (VMAT), the field of oncology procedures and related fields. Background technique [0002] In a typical implementation of intensity-modulated radiation therapy (IMRT), a beam of high-energy particles (eg, electrons, photons, protons, ions) is generated by a linear particle accelerator (linac). A target volume of a tumor patient (eg a malignant tumor) is placed in the path of the radiation beam. To more precisely irradiate the target volume while limiting radiation exposure to adjacent organs at risk (OARs), a multi-leaf collimator (MLC) is used to block a designed portion of the radiation beam to provide the desired shape of the radiation beam. The MLC segments the radiation beam into "beamlets" that can be switched on or off by preprogrammed movements of the MLC's blades. For addition...

Claims

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Application Information

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IPC IPC(8): A61N5/10
CPCA61N5/1031A61N5/1045A61N2005/1074A61B6/50A61B6/5294
Inventor V·兰加纳坦P·库马尔K·A·布兹杜泽克
Owner KONINKLJIJKE PHILIPS NV
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