Updating approach for lexicographic optimization-based planning to improve cervical cancer plan quality

BACKGROUND: To investigate the capability of a not-yet commercially available fully automated lexicographic optimization (LO) planning algorithm, called mCycle (Elekta AB, Stockholm, Sweden), to further improve the plan quality of an already-validated Wish List (WL) pushing on the organs-at-risk (OA...

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Detalles Bibliográficos
Autores principales: Caricato, Paolo, Trivellato, Sara, Pellegrini, Roberto, Montanari, Gianluca, Daniotti, Martina Camilla, Bordigoni, Bianca, Faccenda, Valeria, Panizza, Denis, Meregalli, Sofia, Bonetto, Elisa, Voet, Peter, Arcangeli, Stefano, De Ponti, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541351/
https://www.ncbi.nlm.nih.gov/pubmed/37775613
http://dx.doi.org/10.1007/s12672-023-00800-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541351/
https://www.ncbi.nlm.nih.gov/pubmed/37775613
http://dx.doi.org/10.1007/s12672-023-00800-5

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