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Träfflista för sökning "L773:1021 335X OR L773:1791 2431 ;pers:(Albertsson Per 1964)"

Sökning: L773:1021 335X OR L773:1791 2431 > Albertsson Per 1964

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1.
  • Lennernäs, Bo, 1963, et al. (författare)
  • Calculated and simulated effects of heterogeneous dose distributions in radiotherapy using the dose volume inhomogeneity corrected biological equivalent dose formula with special reference to prostate cancer
  • 2007
  • Ingår i: Oncol Rep. - 1021-335X. ; 18:5, s. 1299-303
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this study was to evaluate and estimate the impact on the biological effective dose (BED) of irradiation delivered to a tumour during high dose rate brachytherapy with a heterogeneous dose distribution in the target volume. The calculation of BED in combination with the critical-voxel model and the LQ (linear quadratic) model was used to evaluate the effect of different combinations of heterogeneous dose distribution. The model is called the dose volume inhomogeneity corrected BED (DVIC-BED). Different random and non-random combinations of radiobiological parameters were used to test the model. A simulated clinical treatment of two 10 Gy fractions of brachytherapy was used. In the simulations 0-100% of the target volume was simulated to receive only 80% of the total dose. Different alpha/beta ratios as well as a different alpha value were used. A drastic effect on the outcome was observed especially when the ratio was low and the alpha value was high. The clinical effect is amplified when the tumour is considered to have a step dose respond curve. A 5 Gy decrease in dose corresponds to a reduction in clinical or chemical control
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2.
  • Lennernäs, Bo, 1963, et al. (författare)
  • The effectiveness of artificial neural networks in evaluating treatment plans for patients requiring external beam radiotherapy
  • 2004
  • Ingår i: Oncol Rep. - 1021-335X. ; 12:5, s. 1065-70
  • Tidskriftsartikel (refereegranskat)abstract
    • This study was designed to determine the ability of a neural network to use data summarized in artificial generated dose volume histograms (DVH) for the rectum to evaluate and compare different patient treatment plans for the treatment of localized prostate cancer. One radiotherapist evaluated 250 artificially generated DVHs representing the distribution of a dose of ration throughout the rectum during external radiotherapy for patients with prostatic adenocarcinoma (PAC). The data were also analyzed using the Lyman NTCP-model for assessing complication probabilities. A neural network consisting of 10 input nodes and one output node was trained to categorize the plans according to the radiotherapist's score. The volume in each isodose was used as input, and the risk for a severe complication was presented as output. The classifications made by the neural network matched those determined by the radiotherapist and the NTCP-model. All three techniques showed a high correlation between each other. Artificially generated dose volume histograms (DVH) for the rectum can be used for training a neural network for scoring rectal DVHs in treatment plans for localized prostate cancer.
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Albertsson, Per,... (2)Ta bort avgränsningen
Lennernäs, Bo, 1963 (2)
Nilsson, S. (1)
Edgren, M. (1)
Silen, A (1)
Isacsson, U (1)
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Sandberg, D. (1)
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