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Animal tissue-based quantitative comparison of dual-energy CT to SPR conversion methods using high-resolution gel dosimetry.
Niepel, K B; Stanislawski, M; Wuerl, M; Doerringer, F; Pinto, M; Dietrich, O; Ertl-Wagner, B; Lalonde, A; Bouchard, H; Pappas, E; Yohannes, I; Hillbrand, M; Landry, G; Parodi, K.
Afiliação
  • Niepel KB; Department of Medical Physics, Ludwig-Maximilian Universität München (LMU Munich), Munich, Germany.
  • Stanislawski M; Department of Medical Physics, Ludwig-Maximilian Universität München (LMU Munich), Munich, Germany.
  • Wuerl M; Department of Medical Physics, Ludwig-Maximilian Universität München (LMU Munich), Munich, Germany.
  • Doerringer F; Department of Medical Physics, Ludwig-Maximilian Universität München (LMU Munich), Munich, Germany.
  • Pinto M; Department of Medical Physics, Ludwig-Maximilian Universität München (LMU Munich), Munich, Germany.
  • Dietrich O; Department of Radiology, Ludwig-Maximilian University Hospital, Munich, Germany.
  • Ertl-Wagner B; Department of Radiology, Ludwig-Maximilian University Hospital, Munich, Germany.
  • Lalonde A; The Hospital for Sick Children, Department of Medical Imaging, University of Toronto, Toronto, Canada.
  • Bouchard H; Département de Physique, Université de Montréal, Montreal, Canada.
  • Pappas E; Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America.
  • Yohannes I; Département de Physique, Université de Montréal, Montreal, Canada.
  • Hillbrand M; Radiology & Radiotherapy Sector, Department of Biomedical Sciences, University of West Attica, Athens, Greece.
  • Landry G; Rinecker Proton Therapy Center, Munich, Germany.
  • Parodi K; Rinecker Proton Therapy Center, Munich, Germany.
Phys Med Biol ; 66(7)2021 03 24.
Article em En | MEDLINE | ID: mdl-32998127
ABSTRACT
Dual-energy computed tomography (DECT) has been shown to allow for more accurate ion therapy treatment planning by improving the estimation of tissue stopping power ratio (SPR) relative to water, among other tissue properties. In this study, we measured and compared the accuracy of SPR values derived using both dual- and single-energy CT (SECT) based on different published conversion algorithms. For this purpose, a phantom setup containing either fresh animal soft tissue samples (beef, pork) and a water reference or tissue equivalent plastic materials was designed and irradiated in a clinical proton therapy facility. Dosimetric polymer gel was positioned downstream of the samples to obtain a three-dimensional proton range distribution with high spatial resolution. The mean proton range in gel for each tissue relative to the water sample was converted to a SPR value. Additionally, the homogeneous samples were probed with a variable water column encompassed by two ionization chambers to benchmark the SPR accuracy of the gel dosimetry. The SPR values measured with both methods were consistent with a mean deviation of 0.2%, but the gel dosimetry captured range variations up to 5 mm within individual samples.Across all fresh tissue samples the SECT approach yielded significantly greater mean absolute deviations from the SPR deduced using gel range measurements, with an average difference of 1.2%, compared to just 0.3% for the most accurate DECT-based algorithm. These results show a significant advantage of DECT over SECT for stopping power prediction in a realistic setting, and for the first time allow to compare a large set of methods under the same conditions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Terapia com Prótons Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Phys Med Biol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Terapia com Prótons Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Phys Med Biol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha