Development of Radiation Therapy Optimization

The principal radiobiological problems in the treatment of advanced tumors and the solution of many of them by radiobiologically optimized intensity-modulated radiation therapy are presented. Considerable improvements of the treatment outcome using radiobiologically optimized intensity-modulated treatments are achieved by: (a) increasing the tumor dose and dose per fraction; (b) keeping constant or even reducing slightly the dose and dose per fraction to organs at risk; (c) reducing the overall treatment time and the number of treatment fractions. The merits of the new radiation modalities and advanced intensity-modulated treatment techniques are compared in terms of equipment costs per patient cured. It is predicted that the new development of radiobiologically optimized intensity-modulated radiation therapy will rapidly become an important clinical tool, increasing the efficiency of the collaboration between radiation physicists, radiation biologists and radiation oncologists. Not only does it allow the optimal treatment of every patient, but it also promotes an efficient feedback of treatment outcome and complication data to improve the accuracy of known dose response relations to further augment future treatment results. Equipment costs may go up during a transition period until efficient interfaces between new diagnostic equipment, treatment-planning systems and intensity-modulated treatment units are fully developed. From then onwards the cost of high quality biologically optimized intensity-modulated treatments will decrease and so will the treatment time and personnel requirements, at the same time as the treatment quality is greatly improved particularly for more advanced tumors.

[1]  Beam characteristics and clinical possibilities of a new compact treatment unit design combining narrow pencil beam scanning and segmental multileaf collimation. , 1998, Medical physics.

[2]  A Brahme,et al.  Dosimetric precision requirements in radiation therapy. , 1984, Acta radiologica. Oncology.

[3]  W. E. Allt Supervoltage radiation treatment in advanced cancer of the uterine cervix. A preliminary report. , 1969, Canadian Medical Association journal.

[4]  A Brahme,et al.  Tumour and normal tissue responses to fractionated non-uniform dose delivery. , 1992, International journal of radiation biology.

[5]  S. Söderström,et al.  Aspects on the optimal photon beam energy for radiation therapy. , 1999, Acta oncologica.

[6]  P. Lambin,et al.  The effect of very low radiation doses on the human bladder carcinoma cell line RT112. , 1994, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[7]  J. Gueulette,et al.  The comparative response of human fibroblast EMT6 and V 79 cells to 50 MeV neutrons. , 1978, International journal of radiation oncology, biology, physics.

[8]  J. G. Trump,et al.  Physical aspects of two million volt x-ray therapy. , 1959, The Surgical clinics of North America.

[9]  R Mohan,et al.  Perspectives of multidimensional conformal radiation treatment. , 1993, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[10]  A Brahme,et al.  Biologically based treatment planning. , 1999, Acta oncologica.

[11]  J. M. Taylor,et al.  The hazard of accelerated tumor clonogen repopulation during radiotherapy. , 1988, Acta oncologica.

[12]  M. Goitein,et al.  Tolerance of normal tissue to therapeutic irradiation. , 1991, International journal of radiation oncology, biology, physics.

[13]  A Brahme,et al.  Optimal electron and combined electron and photon therapy in the phase space of complication-free cure. , 1999, Physics in medicine and biology.

[14]  A Brahme,et al.  Volume and heterogeneity dependence of the dose-response relationship for head and neck tumours. , 1995, Acta oncologica.

[15]  K. G. Zimmer Studies on Quantitative Radiation Biology , 1963 .

[16]  J J Weinkam,et al.  Automation of radiation treatment planning. V. Calculation and visualisation of the total treatment volume. , 1965, The British journal of radiology.

[17]  I. Turesson,et al.  Clinical evidence of hypersensitivity to low doses in radiotherapy. , 1996, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[18]  E. Grusell,et al.  The narrow proton beam therapy unit at the the Svedberg Laboratory in Uppsala. , 1991, Acta oncologica.

[19]  A Brahme,et al.  Microdosimetric description of beam quality and biological effectiveness in radiation therapy. , 1994, Acta oncologica.

[20]  M. D. Schulz The supervoltage story. Janeway Lecture, 1974. , 1975, The American journal of roentgenology, radium therapy, and nuclear medicine.

[21]  A Brahme,et al.  Optimization of the dose delivery in a few field techniques using radiobiological objective functions. , 1993, Medical physics.

[22]  P. Rubin,et al.  A Direction for Clinical Radiation Pathology , 1972 .

[23]  A Brahme,et al.  Optimization of uncomplicated control for head and neck tumors. , 1990, International journal of radiation oncology, biology, physics.

[24]  Anders Brahme,et al.  Treatment Optimization Using Physical and Radiobiological Objective Functions , 1995 .

[25]  G. Fletcher,et al.  Fast neutron therapy for locally advanced head and neck tumors. , 1981, International journal of radiation oncology, biology, physics.

[26]  A. Brahme,et al.  Optimal dose distribution for eradication of heterogeneous tumours. , 1987, Acta oncologica.

[27]  P Aaltonen,et al.  Specification of dose delivery in radiation therapy , 1997 .

[28]  A. Brahme,et al.  An adaptive control algorithm for optimization of intensity modulated radiotherapy considering uncertainties in beam profiles, patient set-up and internal organ motion. , 1998, Physics in medicine and biology.

[29]  S Takahashi,et al.  Conformation radiotherapy. Rotation techniques as applied to radiography and radiotherapy of cancer. , 1965, Acta radiologica: diagnosis.

[30]  P Aaltonen,et al.  Specification of dose delivery in radiation therapy. Recommendation by the Nordic Association of Clinical Physics (NACP). , 1997, Acta oncologica.

[31]  Further improvements in dose distributions are unlikely to affect cure rates. , 1999, Medical physics.

[32]  C S Hope,et al.  Computer Optimization of 4 MeV Treatment Planning , 1965 .

[33]  R. Moses,et al.  Diseases with DNA damage-processing defects. , 1988, The American journal of the medical sciences.

[34]  A Brahme,et al.  Optimization of radiation therapy and the development of multi-leaf collimation. , 1993, International journal of radiation oncology, biology, physics.

[35]  A. Brahme,et al.  Optimal radiation beam profiles considering the stochastic process of patient positioning in fractionated radiation therapy , 1995 .

[36]  Anna-Karin Agren Cronqvist,et al.  Quantification of the response of heterogeneous tumours and organized normal tissues to fractionated radiotherapy , 1995 .

[37]  R. Svensson,et al.  Design of a compact high energy treatment unit combining narrow pencil beam scanning and multileaf collimation , 1998 .

[38]  A. Brahme,et al.  A generalized pencil beam algorithm for optimization of radiation therapy. , 1994, Medical physics.

[39]  H. Withers,et al.  Treatment volume and tissue tolerance. , 1988, International journal of radiation oncology, biology, physics.

[40]  A B Wolbarst,et al.  Optimization of radiation therapy II: the critical-voxel model. , 1984, International journal of radiation oncology, biology, physics.

[41]  A Brahme,et al.  Physical and biologic aspects on the optimum choice of radiation modality. , 1982, Acta radiologica. Oncology.

[42]  K. Russell,et al.  Photon versus fast neutron external beam radiotherapy in the treatment of locally advanced prostate cancer: results of a randomized prospective trial. , 1994, International journal of radiation oncology, biology, physics.

[43]  Anders Brahme,et al.  Development of treatment techniques for radiotherapy optimization , 1995, Int. J. Imaging Syst. Technol..

[44]  A. Brahme,et al.  Optimized radiation therapy based on radiobiological objectives. , 1999, Seminars in radiation oncology.

[45]  E W Korevaar,et al.  Mixing intensity modulated electron and photon beams: combining a steep dose fall-off at depth with sharp and depth-independent penumbras and flat beam profiles. , 1999, Physics in medicine and biology.

[46]  J. Lyman Complication probability as assessed from dose-volume histograms. , 1985, Radiation research. Supplement.

[47]  A Brahme,et al.  Design principles and clinical possibilities with a new generation of radiation therapy equipment. A review. , 1987, Acta oncologica.