Bioplan: software for the biological evaluation of radiotherapy treatment plans

Nahum, 1992, Maximising local control by customised dose prescription for pelvic tumours, 425

Webb, 1993, A model for calculating tumour control probability in radiotherapy including the effects of inhomogeneous distributions of dose and clonogenic cell density, Phys. Med. Biol., 38, 653, 10.1088/0031-9155/38/6/001

Niemierko, 1993, Implementation of a model for estimating tumor control probability for an inhomogeneously irradiated tumor, Radiother. Oncol., 29, 140, 10.1016/0167-8140(93)90239-5

Lyman, 1985, Complication probabilities as assessed from dose-volume histograms, Radiat. Res., 104, S13, 10.2307/3576626

Kutcher, 1989, Calculation of complication probability factors for non uniform normal tissue irradiation, Int. J. Radiat. Oncol. Biol. Phys., 16, 1623, 10.1016/0360-3016(89)90972-3

Niemierko, 1991, Calculation of normal tissue complication probability and dose-volume histogram reduction schemes for tissues with a critical element architecture, Radiat. Oncol., 20, 166, 10.1016/0167-8140(91)90093-V

Niemierko, 1993, Modeling of normal tissue response to radiation, Int. J. Radiat. Oncol. Biol. Phys., 25, 135, 10.1016/0360-3016(93)90156-P

Källman, 1992, Tumour and normal tissue responses to fractionated non-uniform dose delivery, Int. J. Radiat. Biol., 62, 249, 10.1080/09553009214552071

Niemierko, 1992, Optimization of 3D radiation therapy with both physical and biological end points and constraints, Int. J. Radiat. Oncol. Biol. Phys., 23, 99, 10.1016/0360-3016(92)90548-V

Sanchez-Nieto, 1999, The delta-TCP method, Int. J. Radiat. Oncol. Biol. Phys., 44, 369, 10.1016/S0360-3016(99)00029-2

Niemierko, 1997, Reporting and analysing dose distributions, Med. Phys., 24, 103, 10.1118/1.598063

Fowler, 1989, The linear quadratic formula and progress in fractionated radiotherapy, Br. J. Radiol., 62, 679, 10.1259/0007-1285-62-740-679

Fowler, 1995, A rationale for fractionation for slowly proliferating tumors such as prostatic adenocarcinoma, Int. J. Radiat. Oncol. Biol. Phys., 32, 521, 10.1016/0360-3016(95)00545-A

Haustermans, 1997, Cell kinetic measurements in prostate cancer, Int. J. Radiat. Oncol. Biol. Phys., 37, 1067, 10.1016/S0360-3016(96)00579-2

Burman, 1991, Fitting of normal tissue tolerance data to an analytic function, Int. J. Radiat. Oncol. Biol. Phys., 21, 123, 10.1016/0360-3016(91)90172-Z

Emami, 1991, Tolerance of normal tissue to therapeutic irradiation, Int. J. Radiat. Oncol. Biol. Phys., 21, 109, 10.1016/0360-3016(91)90171-Y

Withers, 1988, Treatment volume and tissue tolerance, Int. J. Radiat. Oncol. Biol. Phys., 14, 751, 10.1016/0360-3016(88)90098-3

Withers, 1992, Biological basis of radiation therapy, 64

Wheldon, 1998, The linear-quadratic transformation of dose-volume histograms in fractionated radiotherapy, Radiat. Oncol., 46, 285, 10.1016/S0167-8140(97)00162-X

Gagliardi, 1996, Long-term cardiac mortality after radiotherapy of breast cancer—application of the relative seriality model, Br. J. Radiol., 69, 839, 10.1259/0007-1285-69-825-839

Gagliardi G. Modeling heart and lung complication data in radiation therapy of the breast. Ph.D Thesis. Department of Medical Radiation Physics. Stockholm University, 1998.

Sanchez-Nieto, B.; Nahum, A.E.; Dearnaley, D.P. The customisation of dose prescription based on individual dose-volume and radiosensitivity data. Radiother. Oncol. Submitted.

MacKay, 1999, The modelled benefits of individualising radiotherapy patients’ dose using cellular radiosensitivity assays with inherent variability, Radiother. Oncol., 50, 67, 10.1016/S0167-8140(98)00132-7