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Radiat Oncol ; 4: 9, 2009 Feb 22.
Artigo em Inglês | MEDLINE | ID: mdl-19232137

RESUMO

BACKGROUND: The reproducibility of patient setup for radiotherapy is based on various methods including external markers, X-rays with planar or computerized image acquisition, and, more recently, surface matching imaging. We analyzed the setup reproducibility of 16 patients affected by prostate cancer who underwent conformal radiotherapy with curative intent by using a surface image registration system. METHODS: We analyzed the setup reproducibility of 16 patients affected by prostate cancer candidates for conformal radiotherapy by using a surface image registration system. At the initial setup, EPID images were compared with DRRs and a reference 3D surface image was obtained by the AlignRT system (Vision RT, London, UK). Surface images were acquired prior to every subsequent setup procedure. EPID acquisition was repeated when errors > 5 mm were reported. RESULTS: The mean random and systematic errors were 1.2 +/- 2.3 mm and 0.3 +/- 3.0 mm along the X axis, 0.0 +/- 1.4 mm and 0.5 +/- 2.0 mm along the Y axis, and 2.0 +/- 1.8 mm and -0.7 +/- 2.4 mm along the Z axis respectively. The positioning error detected by AlignRT along the 3 axes X, Y, and Z exceeded the value of 5 mm in 14.1%, 2.0%, and 5.1% measurements and the value of 3 mm in 36.9%, 13.6% and 27.8% measurements, respectively. Correlation factors calculated by linear regression between the errors measured by AlignRT and EPID ranged from 0.77 to 0.92 with a mean of 0.85 and SD of 0.13. The setup measurements by surface imaging are highly reproducible and correlate with the setup errors detected by EPID. CONCLUSION: Surface image registration system appears to be a simple, fast, non-invasive, and reproducible method to analyze the set-up alignment in 3DCRT of prostate cancer patients.


Assuntos
Neoplasias da Próstata/radioterapia , Planejamento da Radioterapia Assistida por Computador/métodos , Radioterapia Conformacional/métodos , Idoso , Estudos de Coortes , Simulação por Computador , Humanos , Processamento de Imagem Assistida por Computador/instrumentação , Processamento de Imagem Assistida por Computador/métodos , Masculino , Pessoa de Meia-Idade , Planejamento de Assistência ao Paciente , Neoplasias da Próstata/patologia , Planejamento da Radioterapia Assistida por Computador/instrumentação , Reprodutibilidade dos Testes , Software , Carga Tumoral
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