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The potential of constrained SAR focusing for hyperthermia treatment planning: analysis for the head & neck region.
Bellizzi, G G; Drizdal, T; van Rhoon, G C; Crocco, L; Isernia, T; Paulides, M M.
Afiliação
  • Bellizzi GG; Universitá Mediterranea di Reggio Calabria, DIIES, Reggio di Calabria, Italy. Erasmus Medical Center, Radiation Oncology Department, Hyperthermia Unit, Rotterdam, The Netherlands. IREA-CNR, Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, Napoli, Italy. Author to whom any correspondence should be addressed.
Phys Med Biol ; 64(1): 015013, 2018 12 21.
Article em En | MEDLINE | ID: mdl-30523869
Clinical trials have shown that hyperthermia is a potent adjuvant to conventional cancer treatments, but the temperatures currently achieved in the clinic are still suboptimal. Hyperthermia treatment planning simulations have potential to improve the heating profile of phased-array applicators. An important open challenge is the development of an effective optimization procedure that enables uniform heating of the target region while keeping temperature below a threshold in healthy tissues. In this work, we analyzed the effectiveness and efficiency of a recently proposed optimization approach, i.e. focusing via constrained power optimization (FOCO), using 3D simulations of twelve clinical patient specific models. FOCO performance was compared against a clinically used particle swarm based optimization approach. Evaluation metrics were target coverage at the 25% iso-SAR level, target hotspot quotient, median target temperature (T50) and computational requirements. Our results show that, on average, constrained power focusing performs slightly better than the clinical benchmark ([Formula: see text]T50 [Formula: see text] °C), but outperforms this clinical benchmark for large target volumes ([Formula: see text]40 cm[Formula: see text], [Formula: see text]T50 [Formula: see text] °C). In addition, the results are achieved in a shorter time ([Formula: see text]%) and are repeatable because the approach is formulated as a convex optimization problem.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias de Cabeça e Pescoço / Hipertermia Induzida Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Phys Med Biol Ano de publicação: 2018 Tipo de documento: Article País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias de Cabeça e Pescoço / Hipertermia Induzida Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Phys Med Biol Ano de publicação: 2018 Tipo de documento: Article País de publicação: Reino Unido