Autor según el artículo: Lambri, N; Dei, D; Hernandez, V; Castiglioni, I; Clerici, E; De Philippis, C; Loiacono, D; Navarria, P; Reggiori, G; Rusconi, R; Tomatis, S; Bramanti, S; Scorsetti, M; Mancosu, P
Departamento: Ciències Mèdiques Bàsiques
Autor/es de la URV: Hernandez Masgrau, Victor
Palabras clave: Total-body irradiation Total marrow irradiation (tmi) Total marrow and lymphoid irradiation (tmli) Robustness Retrospective studies Randomized-trial Radiotherapy, intensity-modulated Radiotherapy planning, computer-assisted Radiotherapy dosage Radiotherapy (rt) Radiotherapy Plan quality Plan complexity Organs at risk Metrics Lymphatic irradiation Leukemia Imrt Humans Feasibility Busulfan Bone marrow
Resumen: PurposeTo assess the impact of the planner's experience and optimization algorithm on the plan quality and complexity of total marrow and lymphoid irradiation (TMLI) delivered by means of volumetric modulated arc therapy (VMAT) over 2010-2022 at our institute. MethodsEighty-two consecutive TMLI plans were considered. Three complexity indices were computed to characterize the plans in terms of leaf gap size, irregularity of beam apertures, and modulation complexity. Dosimetric points of the target volume (D2%) and organs at risk (OAR) (Dmean) were automatically extracted to combine them with plan complexity and obtain a global quality score (GQS). The analysis was stratified based on the different optimization algorithms used over the years, including a knowledge-based (KB) model. Patient-specific quality assurance (QA) using Portal Dosimetry was performed retrospectively, and the gamma agreement index (GAI) was investigated in conjunction with plan complexity. ResultsPlan complexity significantly reduced over the years (r = -0.50, p < 0.01). Significant differences in plan complexity and plan dosimetric quality among the different algorithms were observed. Moreover, the KB model allowed to achieve significantly better dosimetric results to the OARs. The plan quality remained similar or even improved during the years and when moving to a newer algorithm, with GQS increasing from 0.019 +/- 0.002 to 0.025 +/- 0.003 (p < 0.01). The significant correlation between GQS and time (r = 0.33, p = 0.01) indicated that the planner's experience was relevant to improve the plan quality of TMLI plans. Significant correlations between the GAI and the complexity metrics (r = -0.71, p < 0.01) were also found. ConclusionBoth the planner's experience and algorithm version are crucial to achieve an optimal plan quality in TMLI plans. Thus, the impact of the optimization algorithm should be carefully evaluated when a new algorithm is introduced and in system upgrades. Knowledge-based strategies can be useful to increase standardization and improve plan quality of TMLI treatments.
Áreas temáticas: Radiology, nuclear medicine and imaging Radiology, nuclear medicine & medical imaging Radiation Medicine (miscellaneous) Medicina ii Medicina i Interdisciplinar Instrumentation Ensino Engenharias iv Engenharias ii Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: victor.hernandez@urv.cat
Identificador del autor: 0000-0003-3770-8486
Fecha de alta del registro: 2024-08-03
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://aapm.onlinelibrary.wiley.com/doi/10.1002/acm2.13931
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Journal Of Applied Clinical Medical Physics. 24 (6): e13931-
Referencia de l'ítem segons les normes APA: Lambri, N; Dei, D; Hernandez, V; Castiglioni, I; Clerici, E; De Philippis, C; Loiacono, D; Navarria, P; Reggiori, G; Rusconi, R; Tomatis, S; Bramanti, (2023). Evaluation of plan complexity and dosimetric plan quality of total marrow and lymphoid irradiation using volumetric modulated arc therapy. Journal Of Applied Clinical Medical Physics, 24(6), e13931-. DOI: 10.1002/acm2.13931
DOI del artículo: 10.1002/acm2.13931
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2023
Tipo de publicación: Journal Publications
Repositori URV