Quantifying the position and steepness of radiation dose-response curves

References

• AGREN-CRONQVIST, A., KALTMAN, P. and BRAHME, A., 1996, Determination of the relative seriality of a tissue from its response to non-uniform dose delivery. In Modelling in Clinical R adiobiology, edited by D. Baltas (in press).
   Google Scholar
• AGREN-CRONQVIST, A., KALTMAN, P., TURESSON, I. and BRAHME, A., 1995, Volume and heterogeneity dependence of the dose—response relationship for head and neck tumours. Acta 0 ncologia, 34, 851–860.
   Google Scholar
• BATAINI, J. P., BRUGERE, J., BERNIER, J., JAULERRY, C., PICOT, C. and GHOSSEIN, N. A., 1982, Results of radical radiothera-peutic treatment of carcinoma of the pyriform sinus: Experience of the Institut Curie. International Journal of Radiation Oncology, Biology, Physics, 8, 1277–1286.
   PubMed Web of Science ®Google Scholar
• BENTZEN, S. M., 19927 Steepness of the clinical dose-control curve and variation in the in vitro radiosensitivity of head and neck squamous cell carcinoma. International Journal of Radiation Biology, 61, 417–423.
   Google Scholar
• BENTZEN, S. M., 1994, Radiobiological considerations in the design of clinical trials. Radiotherapy and Oncology, 32, 1–11.
   PubMed Web of Science ®Google Scholar
• BENTZEN, S. M. and OVERGAARD, M., 1993, Early and late normal-tissue injury after postmastectomy radiotherapy. In Acute and Long- Term Side-Ejects of Radiotherapy, edited by W. Hinkelbein, G. Bruggmoser, H. Frommhold and M. Wannenmacher (Berlin: Springer), pp. 59–78.
   Google Scholar
• BENTZEN, S. M. and OVERGAARD, J., 1996, Clinical normal-tissue radiobiology. In Current Radiation Oncology, edited by J.S. Tobias and P.R.M. Thomas (London: Edward Arnold), pp. 37–67.
   Google Scholar
• BENTZEN, S. M. and THAMES, H. D., 19917 Clinical evidence for tumor clonogen regeneration: interpretations of the data. Radiotherapy and Oncology, 22, 161–166.
   Google Scholar
• BENTZEN, S. M., THAMES, H. D. and OVERGAARD, J.7 1990, Does variation in the in vitro cellular radiosensitivity explain the shallow clinical dose—control curve for malig-nant melanoma? International Journal of Radiation Biology, 57, 117–126.
   Google Scholar
• BENTZEN, S. M., THAMES, H. D., TRAVIS, E. L., ANG, K. K., ScHuEREN, E. V. D., DEwIT, L. and DocoN, D. 0., 1989, Direct estimation of latent time for radiation injury in late-responding normal tissues: gut, lung and spinal cord. International Journal of Radiation Biology, 55, 27–43.
   Google Scholar
• BRAHME, A., 1984, Dosimetric precision requirements in radi-ation therapy. Acta Radio logica et 0 ncologica, 23, 379–391.
   Google Scholar
• FISCHER, J. J. and MOULDER, J. E.7 1975, The steepness of the dose—response curve in radiation therapy. Radiology, 117, 179–184.
   PubMed Web of Science ®Google Scholar
• FLETCHER, G. F1.7 1973, Clinical dose—response curves of human malignant epithelial tumours. British Journal of Radiology, 46, 1–12.
   Google Scholar
• GOITEIN, M., 1979, The utility of computed tomography in radiation therapy: an estimate of outcome. International Journal of Radiation Oncology, Biology, Physics, 5, 1799–1807.
   PubMed Web of Science ®Google Scholar
• HENDRY, J. H. and MOORE, J. V., 1985, Deriving absolute values of a and )3 for dose fractionation, using dose—incidence data. British Journal of Radiology, 58, 885–890.
   PubMed Web of Science ®Google Scholar
• HERRING, D. F., 1975, The consequences of dose—response curves for tumor control and normal tissue injury on the precision necessary in patient management. Laryngoscope, 85, 1112–1118.
   PubMedGoogle Scholar
• HERRING, D. F., 1980, Methods for extracting dose—response curves from radiation therapy data, I: A unified approach. International Journal of Radiation Oncology, Biology, Physics, 6, 225–232.
   PubMedGoogle Scholar
• HOLTHUSEN,F1.71936,ErfahrungenfiberdieVertilglichkeitsgrenze ffir Röntgenstrahlen und deren Nutzanwendung zur Verhfitung von ScHden. S trahlentherapie, 57, 254–269.
   Google Scholar
• KALLMAN, P., AGREN, A. and BRAHME, A., 1992, Tumour and normal tissue responses to fractionated non-uniform dose delivery. International Journal of Radiation Biology, 62, 249–262.
   PubMed Web of Science ®Google Scholar
• LANGE, C. S. and GILBERT, C. W., 1968, Studies on the cellular basis of radiation lethality III. The measurement of stem-cell rep op u latio n probability. International Journal of Radiation Biology, 14, 373–388.
   Google Scholar
• LYMAN, J. T., 1985, Complication probability as assessed from dose—volume histograms. Radiation Research, 104, S13–19.
   Web of Science ®Google Scholar
• METz, C. E., ToRARs, R. P., KRoNmAN, H. B. and GRIEm, M. L., 1982, Maximum likelihood estimation of dose—response parameters for therapeutic operating character-istic (TOC) analysis of carcinoma of the nasopharynx. International Journal of Radiation Oncology, Biology, Physics, 8, 1185–1192.
   PubMed Web of Science ®Google Scholar
• MCCULLAGH, P. and NELDER, J. A., 1989, Generalized Linear Models (London: Chapman & Hall).
   Google Scholar
• MIJNHEER, B. J., BATTERMANN, J. J. and WAMBERSIE, A., 1987, What degree of accuracy is required and can be achieved in photon and neutron therapy? Radiotherapy and Oncology, 8, 237–252.
   Google Scholar
• MooRE, J. V., HENDRY, J. H. and HUNTER, R. D., 1983, Dose—incidence curves for tumour control and normal tissue injury, in relation to the response of clonogenic cells. Radiotherapy and Oncology, 1, 143–157.
   PubMedGoogle Scholar
• MORRISON, R., 1975, The results of treatment of cancer of the bladder—a clinical contribution to radiobiology. Clinical Radiology, 26, 67–75.
   PubMed Web of Science ®Google Scholar
• MUNRO, T. R. and GILBERT, C. W., 1961, The relation between tumour lethal doses and the radiosensitivity of tumour cells. British Journal of Radiology, 34, 246–251.
   PubMed Web of Science ®Google Scholar
• MUNZENRIDER, J. E. and CROWELL, C., 1994, Charged particles. In Radiation Oncology: Technology and Biology, edited by P.M. Mauch and J.S. Loeer (Philadelphia: W.B. Saunders), pp. 34–55.
   Google Scholar
• OKUNIEFF, P., MORGAN, D., NIEMIERKO, A. and SUIT, H. D., 1995, Radiation dose-response of human tumours. International J ournal of Radiation Oncology, Biology, Physics, 32, 1227–1237.
   PubMed Web of Science ®Google Scholar
• PEREZ, C. A. and BRADY, L. W., 1992, Overview. In Principles and Practice of Radiation Oncology, edited by C.A. Perez and L.W. Brady (Philadelphia: J.B. Lippincott), pp. 1–63.
   Google Scholar
• PORTER, E. H., 1980, The statistics of dose/cure relationships for irradiated tumours. Part I. British Journal of Radiology, 53, 210–227.
   PubMed Web of Science ®Google Scholar
• SUIT, H. D., SHALEK, R. J. and WETTE, R., 1965, Radiation response of C3H mouse mammary carcinoma evaluated in terms of cellular radiation sensitivity. In Cellular Radiation Biology (Baltimore: Williams & Wilkins), PP 514–530.
   Google Scholar
• SUIT, H. D., SKATES, S., TAGHIAN, A., OKUNIEFF, P. and EFIRD, J. T., 1992, Clinical implications of heterogeneity of tumor response to radiation therapy. Radiotherapy and Oncology, 25, 251–260.
   PubMed Web of Science ®Google Scholar
• SUIT, H. D. and WALKER, A. M., 1989, Predictors of radiation response in use today: criteria for new assays and methods of verification. In Prediction of Tumor Treatment Response, edited by J.D. Chapman, L.J. Peters and H.R. Withers (New York: Pergamon), pp. 3–19.
   Google Scholar
• SVENSSON, H., WESTLING, P. and LARSSON, L.-G., 1975, Radiation-induced lesions of the brachial plexus correl-ated to the dose-time-fractionation schedule. Acta Radiologica Therapy Physics Biology, 14, 228–238.
   Google Scholar
• TAYLOR, J. M. G., WITHERS, H. R., VEGESNA, V. and MASON, 1(.7 1987, Fitting the linear—quadratic model using time of occurrence as the endpoint for quantal response multi-fraction experiments. International Journal of Radiation Biology, 52, 459–468.
   Google Scholar
• THAMES, H. D., PETERS, L. J., SPANOS, W. and FLETCHER, G. FI.7 1980, Dose—response of squamous cell carcinomas of the upper respiratory and digestive tracts. British Journal of Cancer, 41(suppl. IV), 35–38.
   Google Scholar
• THAMES, H. D., RozETT, M. E., TUCKER, S. L., ANG, K. K., FISCHER, D. R. and TRAVIS, E. L., 1986, Direct analysis of quantal radiation response data. International journal of Radiation Biology, 49, 999–1009.
   Web of Science ®Google Scholar
• THAMES, H. D., SCHULTHEISS, T. E., HENDRY, J. H., TUCKER, S. L., DuRRAy, B. M. and BRocK, W. A., 1991, Can modest escalations of dose be detected as increased tumor control? International journal of Radiation Oncology, Biology, Physics, 22, 241–246.
   Google Scholar
• TROTT, K. R., MACIEJEWSKI, B., PREUSS-BAYER, G. and SKOLYSZEWSKI, J., 1984, Dose—response curve and split-dose recovery in human skin cancer. Radiotherapy and Oncology, 2, 123–129.
   Google Scholar
• TUCKER, S. L. and TAYLOR, J. M. G., 1996, Improved models of tumour cure. International Journal of Radiation Biology, 70, 539–553.
   PubMed Web of Science ®Google Scholar
• TUCKER, S. L., THAMES, H. D. and TAYLOR, J. M. G., 1990, How well is the probability of tumor cure after fraction-ated irradiation described by Poisson statistics? Radiation Research, 124, 273–282.
   Google Scholar
• TURESSON, I., 1991, Characteristics of dose—response relation-ships for late radiation effects: an analysis of skin telangiec-tasia and of head and neck morbidity. Radiotherapy and Oncology, 20, 149–158.
   PubMed Web of Science ®Google Scholar
• WALKER, A. M. and SUIT, H. D., 1981, Choosing between two formulations of a dose/cure function. British Journal of Radiology, 54, 1012–1013.
   PubMed Web of Science ®Google Scholar
• WEBB, S., 1994, Optimum parameters in a model for tumor control probability including interpatient heterogeneity. Physics in Medicine and Biology, 39, 1895–1914.
   PubMed Web of Science ®Google Scholar
• WHELDON, T. E., 1980, Can dose—survival parameters be deduced from in situ assays? British Journal of Cancer, 41 (suppl. IV), 79–87.
   Google Scholar
• WILLIAMS, M. V., DENEKAMP, J. and FOWLER, J. F., 1984, Dose—response relationships for human tumors: implications for clinical trials of dose modifying agents. International J ournal of Radiation Oncology, Biology, Physics, 10, 1703–1707.
   Google Scholar
• WITHERS, H. R., 1992, Biologic basis of radiation therapy. In Principles and Practice of Radiation Oncology, edited by C.A. Perez and L.W. Brady (Philadelphia: J. B. Lippincott), pp. 64–96.
   Google Scholar
• WITHERS, H. R. and PETERS, L. J.7 1980, Biological aspects of radiation therapy. In Textbook of Radiotherapy, edited by G. H. Fletcher, (Philadelphia: Lea & Febiger), pp. 103–180.
   Google Scholar
• WONNACOTT, T. H. and WONNACOTT, R. J., 1977, Introductory statistics, 3rd edn. (New York: John Wiley), pp. 523–537.
   Google Scholar
• YAES, R. J., 1988, Some implications of the linear quadratic model for tumor Control probability. International Journal of Radiation Oncology, Biology, Physics, 14, 147–157.
   PubMedGoogle Scholar
• ZAGARS, G. K., SCHULTHEISS, T. E. and PETERS, L. J.7 1987, Inter-tumor heterogeneity and radiation dose-control curves. Radiotherapy and Oncology, 8, 353–362.
   PubMed Web of Science ®Google Scholar