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1.
Med Phys ; 49(8): 5537-5550, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-35717637

RESUMO

PURPOSE: The aim of this work was to test the implementation of small field dosimetry following TRS-483 and to develop quality assurance procedures for the experimental determination of small field output factors (SFOFs). MATERIALS AND METHODS: Twelve different centers provided SFOFs determined with various detectors. Various linac models using the beam qualities 6 MV and 10 MV with flattening filter and without flattening filter were utilized to generate square fields down to a nominal field size of 0.5 cm × 0.5 cm. The detectors were positioned at 10 cm depth in water. Depending on the local situation, the source-to-surface distance was either set to 90 cm or 100 cm. The SFOFs were normalized to the output of the 10 cm × 10 cm field. The spread of SFOFs measured with different detectors was investigated for each individual linac beam quality and field size. Additionally, linac-type specific SFOF curves were determined for each beam quality and the SFOFs determined using individual detectors were compared to these curves. Example uncertainty budgets were established for a solid state detector and a micro ionization chamber. RESULTS: The spread of SFOFs for each linac and field was below 5% for all field sizes. With the exception of one linac-type, the SFOFs of all investigated detectors agreed within 10% with the respective linac-type SFOF curve, indicating a potential inter-detector and inter-linac variability. CONCLUSION: Quality assurance on the SFOF measurements can be done by investigation of the spread of SFOFs measured with multiple detectors and by comparison to linac-type specific SFOFs. A follow-up of a measurement session should be conducted if the spread of SFOFs is larger than 5%, 3%, and 2% for field sizes of 0.5 cm × 0.5 cm, 1 cm × 1 cm, and field sizes larger than 2 cm × 2 cm, respectively. Additionally, deviations of measured SFOFs to the linac-type-curves of more than 7%, 3%, and 2% for field sizes 0.5 cm × 0.5 cm, 1 cm × 1 cm, and field sizes larger than 1 cm × 1 cm, respectively, should be followed up.


Assuntos
Aceleradores de Partículas , Radiometria , Fótons , Incerteza , Água
2.
J Appl Clin Med Phys ; 17(1): 80-91, 2016 01 08.
Artigo em Inglês | MEDLINE | ID: mdl-26894334

RESUMO

The purpose of this study was to obtain a respiratory signal with the use of an add-on device to a specific stereotactic body frame and evaluate precision and accuracy of the method, with the use of a dynamic phantom. The authors designed and constructed a simple add-on device which, attached to a stereotactic body frame, provides information of the patient's respiratory signal in every CT axial image acquired. To assess the approach, 12 CT studies were acquired, on a phantom that simulates respiratory motion, which was placed inside the frame with the add-on device. Images of the phantom with sinusoidal and shark-fin motion patterns were acquired, with different amplitude in the movement of the external surrogate and the target. Cycle time was 6 s. Images were retrospectively processed to obtain a respiratory signal from the vertical movement of the "abdomen." The obtained signal was adjusted to a sinusoidal function; the resultant amplitude and cycle time were compared with the preset function in the phantom. The cycle amplitude and time obtained with the method agreed with the preset values within 0.4 mm and 0.29 s, respectively. In the cases of sinusoidal movements the maximal discrepancy was less than 1 mm. A respiratory signal was obtained in all cine CT sequence studies with this method that consistently coincides with the preset motion of the phantom. The authors proposed a tool to obtain a respiratory signal based on information contained into the CT axial images.


Assuntos
Marcadores Fiduciais , Processamento de Imagem Assistida por Computador/métodos , Imagens de Fantasmas , Respiração , Técnicas de Imagem de Sincronização Respiratória/métodos , Tomografia Computadorizada por Raios X/métodos , Tomografia Computadorizada Quadridimensional , Humanos , Movimento , Radiografia Torácica , Dosagem Radioterapêutica , Planejamento da Radioterapia Assistida por Computador
3.
Rev. cuba. oncol ; 11(2): 127-32, jul.-dic. 1995. tab
Artigo em Espanhol | CUMED | ID: cum-7375

RESUMO

Un software para la planificación de tratamiento de Radioterapia fue desarrollado recientemente por físicos médicos del Hospital Clinicoquirúrgico "Hermanos Ameijeiras". Se escogieron localizaciones en la región de lacabeza y el cuello para evaluar la confiabilidad de los resultados de las distribuciones de dosis calculadas en los pacientes; se tomó como referencia los resultados de medicciones dosimétricas con polvo TLD-700 en un maniquí humanoide. Se explican las diferentes opciones para la entrada de datos de los contornos del paciente. Se muestra una comparación de los resultados de las mediciones con los calculados. Se analizan las causas de las discrepancias y se hacen recomendaciones respecto a la utilidad de las diferentes opciones de adquisición de datos del paciente (AU)


Assuntos
Radioterapia
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