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Dwell time verification in brachytherapy based on time resolved in vivo dosimetry.
Johansen, J G; Kertzscher, G; Jørgensen, E B; Rylander, S; Bentzen, L; Hokland, S B; Søndergaard, C S; With, A K M; Buus, S; Tanderup, K.
Afiliação
  • Johansen JG; Department of Oncology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark. Electronic address: jacjoa@rm.dk.
  • Kertzscher G; Department of Oncology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark.
  • Jørgensen EB; Department of Oncology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark.
  • Rylander S; Department of Oncology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark.
  • Bentzen L; Department of Oncology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark.
  • Hokland SB; Department of Oncology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark.
  • Søndergaard CS; Department of Oncology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark.
  • With AKM; Örebro University Hospital, Örebro, Sweden.
  • Buus S; Department of Oncology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark.
  • Tanderup K; Department of Oncology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark.
Phys Med ; 60: 156-161, 2019 Apr.
Article em En | MEDLINE | ID: mdl-31000077
ABSTRACT

PURPOSE:

This paper presents a method to verify dwell times during High Dose Rate (HDR) Brachytherapy (BT) by means of in vivo dosimetry (IVD), and reports on an afterloader's stability in dwell time control.

METHODS:

In vivo dosimetry was performed during 20 HDR prostate cancer treatments using a point detector based on a radio-luminescence crystal (Al2O3C) coupled to a fiber-optic cable. The dose rate was recorded at either 10 Hz or 20 Hz during the treatments. The "time of transit" when the source moved between two dwell positions was identified using the difference in count rate between two measurements. The dwell times were then determined by subtracting two adjacent times of transit. The measured dwell times were matched with the planned dwell times and categorised into two groups Dwell times matching a single dwell position (identified) and dwell times matching the sum of multiple dwell positions (unidentified). Deviations between measured and planned dwell times were calculated for the identified dwell positions.

RESULTS:

A total of 3518 dwell positions were analysed. The amount of identified dwell positions were 82%, which increased to 89% if the short dwell times (<1 s) were omitted in the analysis. The largest deviation was -0.4 s seen for a single dwell position, and in 97.1% of the cases, the deviations were <0.15 s.

CONCLUSION:

The dwell times in BT are well controlled by the afterloader. It is shown that IVD facilitates the detection of dwell time offsets that could have a clinical impact.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Braquiterapia / Dosimetria in Vivo Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Revista: Phys Med Assunto da revista: BIOFISICA / BIOLOGIA / MEDICINA Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Braquiterapia / Dosimetria in Vivo Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Revista: Phys Med Assunto da revista: BIOFISICA / BIOLOGIA / MEDICINA Ano de publicação: 2019 Tipo de documento: Article