Literature DB >> 11173125

Individualizing cancer treatment: biological optimization models in treatment planning and delivery.

A Brahme1.   

Abstract

PURPOSE: During the last 30 years radiation therapy has developed from classical rectangular beams via conformation therapy with largely uniform dose delivery, but irregular field shapes, to fully intensity modulated dose delivery where the total dose distribution in the tumor can be fully controlled in three dimensions. This last step has been developed during the last 15-20 years and has opened up the possibilities for truly optimized radiation therapy. METHODS AND MATERIALS: Today it is not only possible to produce almost any desired dose distribution in the tumor volume. It is also possible to deliver the dose distribution, which has the highest probability to cure the patient without inducing severe complications in normal tissues. To fully exploit the advantages of intensity-modulated radiation therapy, quality of life or radiobiologic objectives have to be used, preferably combined with predictive assay of radiation sensitivity.
RESULTS: This article will briefly discuss the biologic objective functions and the associated advantages in the treatment outcome using new approaches such as consideration of stochastic variations in sensitivity and optimization of the angle of incidence and fractionation schedule with intensity-modulated beams. Finally, different possibilities for realizing general three-dimensional intensity-modulated dose delivery will be discussed.
CONCLUSIONS: Once accurate genetically and/or cell survival based predictive assays become available, radiation therapy will become an exact science allowing truly individual optimization considering also the panorama of side-effects that the patient is willing to accept.

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Year:  2001        PMID: 11173125     DOI: 10.1016/s0360-3016(00)01501-7

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  10 in total

1.  Dose escalation in the definite target volume.

Authors:  W Tyler Watkins; Hamidreza Nourzadeh; Jeffrey V Siebers
Journal:  Med Phys       Date:  2020-05-11       Impact factor: 4.071

Review 2.  The role of radiosurgery in the management of malignant brain tumors.

Authors:  Volker W Stieber; Thomas L Ellis
Journal:  Curr Treat Options Oncol       Date:  2005-11

3.  Two-dimensional imaging of tumour control probabilities and normal tissue complication probabilities.

Authors:  Marta Szlag; Krzysztof Slosarek
Journal:  Rep Pract Oncol Radiother       Date:  2010-04-09

4.  Adaptive IMRT using a multiobjective evolutionary algorithm integrated with a diffusion-invasion model of glioblastoma.

Authors:  C H Holdsworth; D Corwin; R D Stewart; R Rockne; A D Trister; K R Swanson; M Phillips
Journal:  Phys Med Biol       Date:  2012-11-29       Impact factor: 3.609

5.  (Radio)biological optimization of external-beam radiotherapy.

Authors:  Alan E Nahum; Julien Uzan
Journal:  Comput Math Methods Med       Date:  2012-11-06       Impact factor: 2.238

6.  Early and late skin reactions to radiotherapy for breast cancer and their correlation with radiation-induced DNA damage in lymphocytes.

Authors:  Escarlata López; Rosario Guerrero; Maria Isabel Núñez; Rosario del Moral; Mercedes Villalobos; Joaquina Martínez-Galán; Maria Teresa Valenzuela; José Antonio Muñoz-Gámez; Francisco Javier Oliver; David Martín-Oliva; José Mariano Ruiz de Almodóvar
Journal:  Breast Cancer Res       Date:  2005-07-01       Impact factor: 6.466

Review 7.  Radiobiological Optimization in Lung Stereotactic Body Radiation Therapy: Are We Ready to Apply Radiobiological Models?

Authors:  Marco D'Andrea; Silvia Strolin; Sara Ungania; Alessandra Cacciatore; Vicente Bruzzaniti; Raffaella Marconi; Marcello Benassi; Lidia Strigari
Journal:  Front Oncol       Date:  2018-01-08       Impact factor: 6.244

Review 8.  An overview of current practice in external beam radiation oncology with consideration to potential benefits and challenges for nanotechnology.

Authors:  Raymond B King; Stephen J McMahon; Wendy B Hyland; Suneil Jain; Karl T Butterworth; Kevin M Prise; Alan R Hounsell; Conor K McGarry
Journal:  Cancer Nanotechnol       Date:  2017-02-03

9.  A dose-volume-based tool for evaluating and ranking IMRT treatment plans.

Authors:  Moyed M Miften; Shiva K Das; Min Su; Lawrence B Marks
Journal:  J Appl Clin Med Phys       Date:  2004-10-01       Impact factor: 2.102

10.  Radiotherapy-induced malignancies: review of clinical features, pathobiology, and evolving approaches for mitigating risk.

Authors:  Steve Braunstein; Jean L Nakamura
Journal:  Front Oncol       Date:  2013-04-03       Impact factor: 6.244

  10 in total

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