HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Use of metrics to quantify IMRT and VMAT treatment plan complexity: A systematic review and perspectives

Abstract : Purpose: Fixed-field intensity modulated radiation therapy (FF-IMRT) or volumetric modulated arc therapy (VMAT) beams complexity is due to fluence fluctuation. Pre-treatment Quality Assurance (PTQA) failure could be linked to it. Several plan complexity metrics (PCM) have been published to quantify this complexity but in a heterogeneous formalism. This review proposes to gather different PCM and to discuss their eventual PTQA failure identifier abilities. Methods and materials: A systematic literature search and outcome extraction from MEDLINE/PubMed (National Center for Biotechnology Information, NCBI) was performed. First, a list and a synthesis of available PCM is made in a homogeneous formalism. Second, main results relying on the link between PCM and PTQA results but also on other uses are listed. Results: A total of 163 studies were identified and n = 19 were selected after inclusion and exclusion criteria application. Difference is made between fluence and degree of freedom (DOF)-based PCM. Results about the PCM potential as PTQA failure identifier are described and synthesized. Others uses are also found in quality, big data, machine learning and audit procedure. Conclusions: A state of the art is made thanks to this homogeneous PCM classification. For now, PCM should be seen as a planning procedure quality indicator although PTQA failure identifier results are mitigated. However limited clinical use seems possible for some cases. Yet, addressing the general PTQA failure prediction case could be possible with the big data or machine learning help.
Document type :
Journal articles
Complete list of metadata

http://hal.in2p3.fr/hal-02288887
Contributor : Accord Elsevier Ccsd Connect in order to contact the contributor
Submitted on : Monday, October 25, 2021 - 2:23:11 PM
Last modification on : Wednesday, April 27, 2022 - 3:47:37 AM
Long-term archiving on: : Wednesday, January 26, 2022 - 8:36:27 PM

File

S1120179719301310.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License

Identifiers

Citation

Mikael Antoine, Flavien Ralite, Charles Soustiel, Thomas Marsac, Paul Sargos, et al.. Use of metrics to quantify IMRT and VMAT treatment plan complexity: A systematic review and perspectives. Physica Medica, Elsevier, 2019, 64, pp.98-108. ⟨10.1016/j.ejmp.2019.05.024⟩. ⟨hal-02288887⟩

Share

Metrics

Record views

128

Files downloads

90