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Technical note: A software tool to extract complexity metrics from radiotherapy treatment plans.
Cavinato, Samuele; Scaggion, Alessandro; Paiusco, Marta.
Afiliación
  • Cavinato S; Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.
  • Scaggion A; Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.
  • Paiusco M; Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.
Med Phys ; 2024 Aug 26.
Article en En | MEDLINE | ID: mdl-39186793
ABSTRACT

BACKGROUND:

Complexity metrics are mathematical quantities designed to quantify aspects of radiotherapy treatment plans that may affect both their deliverability and dosimetric accuracy. Despite numerous studies investigating their utility, there remains a notable absence of shared tools for their extraction.

PURPOSE:

This study introduces UCoMX (Universal Complexity Metrics Extractor), a software package designed for the extraction of complexity metrics from the DICOM-RT plan files of radiotherapy treatments.

METHODS:

UCoMX is developed around two extraction engines VCoMX (VMAT Complexity Metrics Extractor) for VMAT/IMRT plans, and TCoMX (Tomotherapy Complexity Metrics Extractor) tailored for Helical Tomotherapy plans. The software, built using Matlab, is freely available in both Matlab-based and stand-alone versions. More than 90 complexity metrics, drawn from relevant literature, are implemented in the package 43 for VMAT/IMRT and 51 for Helical Tomotherapy.

RESULTS:

The package is designed to read DICOM-RT plan files generated by most commercially available Treatment Planning Systems (TPSs), across various treatment units. A reference dataset containing VMAT, IMRT, and Helical Tomotherapy plans is provided to serve as a reference for comparing UCoMX with other in-house systems available at other centers.

CONCLUSION:

UCoMX offers a straightforward solution for extracting complexity metrics from radiotherapy plans. Its versatility is enhanced through different versions, including Matlab-based and stand-alone, and its compatibility with a wide range of commercially available TPSs and treatment units. UCoMX presents a free, user-friendly tool empowering researchers to compute the complexity of treatment plans efficiently.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Med Phys Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Med Phys Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Estados Unidos