Next Article in Journal
Green Chemistry Synthesis of Silver Nanoparticles and Their Potential Anticancer Effects
Next Article in Special Issue
Haute Couture or Ready-To-Wear? Tailored Pelvic Radiotherapy for Prostate Cancer Based on Individualized Sentinel Lymph Node Detection
Previous Article in Journal
The Core-Clock Gene NR1D1 Impacts Cell Motility In Vitro and Invasiveness in a Zebrafish Xenograft Colon Cancer Model
Previous Article in Special Issue
Can Comprehensive Geriatric Assessment Predict Tolerance of Radiotherapy for Localized Prostate Cancer in Men Aged 75 Years or Older?
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Progress towards Patient-Specific, Spatially-Continuous Radiobiological Dose Prescription and Planning in Prostate Cancer IMRT: An Overview

by
Emily Jungmin Her
1,*,
Annette Haworth
2,
Pejman Rowshanfarzad
1 and
Martin A. Ebert
1,3,4
1
Department of Physics, University of Western Australia, Crawley, WA 6009, Australia
2
Institute of Medical Physics, University of Sydney, Camperdown, NSW 2050, Australia
3
Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
4
5D Clinics, Claremont, WA 6010, Australia
*
Author to whom correspondence should be addressed.
Cancers 2020, 12(4), 854; https://doi.org/10.3390/cancers12040854
Submission received: 9 January 2020 / Revised: 12 March 2020 / Accepted: 27 March 2020 / Published: 1 April 2020
(This article belongs to the Special Issue Prostate Cancer Radiotherapy)

Abstract

Advances in imaging have enabled the identification of prostate cancer foci with an initial application to focal dose escalation, with subvolumes created with image intensity thresholds. Through quantitative imaging techniques, correlations between image parameters and tumour characteristics have been identified. Mathematical functions are typically used to relate image parameters to prescription dose to improve the clinical relevance of the resulting dose distribution. However, these relationships have remained speculative or invalidated. In contrast, the use of radiobiological models during treatment planning optimisation, termed biological optimisation, has the advantage of directly considering the biological effect of the resulting dose distribution. This has led to an increased interest in the accurate derivation of radiobiological parameters from quantitative imaging to inform the models. This article reviews the progress in treatment planning using image-informed tumour biology, from focal dose escalation to the current trend of individualised biological treatment planning using image-derived radiobiological parameters, with the focus on prostate intensity-modulated radiotherapy (IMRT).
Keywords: prostate cancer; precision medicine; biological optimisation prostate cancer; precision medicine; biological optimisation

Share and Cite

MDPI and ACS Style

Her, E.J.; Haworth, A.; Rowshanfarzad, P.; Ebert, M.A. Progress towards Patient-Specific, Spatially-Continuous Radiobiological Dose Prescription and Planning in Prostate Cancer IMRT: An Overview. Cancers 2020, 12, 854. https://doi.org/10.3390/cancers12040854

AMA Style

Her EJ, Haworth A, Rowshanfarzad P, Ebert MA. Progress towards Patient-Specific, Spatially-Continuous Radiobiological Dose Prescription and Planning in Prostate Cancer IMRT: An Overview. Cancers. 2020; 12(4):854. https://doi.org/10.3390/cancers12040854

Chicago/Turabian Style

Her, Emily Jungmin, Annette Haworth, Pejman Rowshanfarzad, and Martin A. Ebert. 2020. "Progress towards Patient-Specific, Spatially-Continuous Radiobiological Dose Prescription and Planning in Prostate Cancer IMRT: An Overview" Cancers 12, no. 4: 854. https://doi.org/10.3390/cancers12040854

APA Style

Her, E. J., Haworth, A., Rowshanfarzad, P., & Ebert, M. A. (2020). Progress towards Patient-Specific, Spatially-Continuous Radiobiological Dose Prescription and Planning in Prostate Cancer IMRT: An Overview. Cancers, 12(4), 854. https://doi.org/10.3390/cancers12040854

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop