PlumX Metrics
Embed PlumX Metrics

High-dose-rate Brachytherapy Monotherapy in Patients With Localised Prostate Cancer: Dose Modelling and Optimisation Using Computer Algorithms

Clinical Oncology, ISSN: 0936-6555, Vol: 36, Issue: 6, Page: 378-389
2024
  • 0
    Citations
  • 0
    Usage
  • 0
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Article Description

Interstitial high-dose-rate brachytherapy (HDR-BT) is an effective therapy modality for patients with localized prostate carcinoma. The objectives of the study were to optimise the therapy regime variables using two models: response surface methodology (RSM) and artificial neural network (ANN). Thirty-one studies with 5651 patients were included (2078 patients presented as low-risk, 3077 patients with intermediate-risk, and 496 patients with high-risk). A comparison of these therapy schedules was carried out using an effective biologically effective dose ( BED ef ) that was calculated assuming the number of treatment days and dose ( D ) per day. The modelling and optimization of therapy parameters ( BED ef and risk level) in order to obtain the maximum biochemical free survival ( BFS ) were carried out by the RSM and ANN models. An optimal treatment schedule ( BFS = 97%) for patients presented with low-risk biochemical recurrence would be D = 26 Gy applied in one application, 2 fractions at least 6 h apart, within an overall treatment time of 1 day ( BED ef = 251 Gy) by the RSM and ANN model. For patients presented with intermediate- or high-risk an optimal treatment regime (BFS = 94% and 90%, respectively) would be D = 38 Gy applied in one application, 4 fractions at least 6 h apart, with an overall treatment time of 2 days ( BED ef = 279 Gy) by the RSM and ANN models. The RSM and ANN models determine almost the same optimal values for the set of predicted therapy parameters that make a feasible selection of an optimal treatment regime.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know