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A theoretical framework for prescribing radiotherapy dose distributions using patient-specific biological information

South, CP, Partridge, M and Evans, PM (2008) A theoretical framework for prescribing radiotherapy dose distributions using patient-specific biological information MEDICAL PHYSICS, 35 (10). 4599 - 4611. ISSN 0094-2405

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We present a formalism for using functional imaging both to derive patient-specific radiobiological properties and consequently to prescribe optimal non-uniform radiotherapy dose distributions. The ability to quantitatively assess the response to an initial course of radiotherapy would allow the derivation of radiobiological parameters for individual patients. Both an iterative optimization and an analytical approach to this problem were investigated and illustrated by application to the linear-quadratic model of cell killing using simulated parametric data for a modelled tumor. Potential gains in local control were assessed by comparing uniform dose distributions with optimized dose distributions of equal integral dose. The effect on local prescribed dose of variations in effective radiosensitivity, tumor burden and proliferation rate was investigated, with results suggesting that dose variations would be significant but clinically achievable. The sensitivity of derived parameters to image noise and the effect of varying the initial fractionation and imaging schedule were assessed. The analytical approach proved remarkably robust, with 10% image noise resulting in dose errors of approximately 1% for a clinically relevant set of parameters. Potential benefits were demonstrated by using this formalism to prescribe non-uniform dose distributions for model tumors using a range of literature-derived parameters. The redistribution of dose improved tumor control probability by factors between 1.03 and 4.27 for a range of model tumors. Prescribing radiotherapy dose distributions using patient-specific information.

Item Type: Article
Additional Information: Copyright 2008. American Association of Physicists in Medicine. All rights reserved.
Uncontrolled Keywords: Science & Technology, Life Sciences & Biomedicine, Radiology, Nuclear Medicine & Medical Imaging, tumor control probability, radiosensitivity, radiation therapy, treatment planning, functional imaging, TUMOR-CONTROL PROBABILITY, POSITRON-EMISSION-TOMOGRAPHY, SQUAMOUS-CELL CARCINOMA, PROSTATE-CANCER, ALPHA/BETA-RATIO, FRACTIONATED RADIOTHERAPY, RADIATION-THERAPY, HYPOXIC TUMORS, TARGET VOLUME, LOCAL-CONTROL
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Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Depositing User: Symplectic Elements
Date Deposited: 03 Dec 2012 12:38
Last Modified: 23 Sep 2013 19:51

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