The dependence of relative biological effectiveness (RBE) on photon energy is a topic of extensive discussions. The increasing amount of in vitro data in the low-energy region indicates this to be a complex dependence that is influenced by the end point and cell line studied. In the present investigation, the RBE of 10 kV X rays (W anode) was determined relative to 200 kV X rays (W anode, 0.5 mm copper filter) for cell survival in the dose range 1-10 Gy and for induction of micronuclei in the range 0.5-3.6 Gy for MCF-12A human mammary epithelial cells. The RBE for cell survival was found to increase with decreasing dose, being 1.21+/-0.03 at 10% survival. Considerably higher values were obtained for micronucleus induction, where the RBE(M) obtained from the ratio of the linear coefficients of the dose-effect curves was 2.6+/-0.4 for the fraction of binucleated cells with micronuclei and 4.1+/-1.0 for the number of micronuclei per binucleated cell. These values, together with our previous data, support a monotonic increase in RBE with decreasing photon energy down to the mean energy of 7.3 keV used in the present study.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1667/RR0874.1 | DOI Listing |
Radiat Oncol
December 2024
Radiation Oncology Unit, Internal Medicine Department, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy.
Background: Local recurrence of rectal cancer (LRRC) previously treated with radiotherapy is associated with a poor prognosis. Historically, the integration of radiotherapy (RT) with surgery has improved the likelihood of complete resections (R0) and, consequently, enhanced survival. Unfortunately, many LRRC cases are not amenable to surgical intervention.
View Article and Find Full Text PDFPhys Imaging Radiat Oncol
October 2024
Heidelberg Ion-Beam Therapy Center (HIT), Im Neuenheimer Feld 450, 69120 Heidelberg, Germany.
Background And Purpose: In carbon ion radiotherapy (CIRT), different relative biological effectiveness (RBE) models have been used for calculating RBE-weighted dose (D). Conversion between current RBE predictions and introduction of novel approaches remains a challenging task. Our aim is to introduce a framework considering multiple RBE models simultaneously during CIRT plan optimization, easing the translation between D prescriptions.
View Article and Find Full Text PDFRadiother Oncol
December 2024
Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark; Danish Center for Particle Therapy, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University Hospital, Denmark.
Background And Purpose: In proton therapy, a relative biological effectiveness (RBE) of 1.1 is used toreach an isoeffective biological response between photon and proton doses. However, the RBE varies with biological endpoints and linear energy transfer (LET), two key parameters in radiotherapy.
View Article and Find Full Text PDFPhys Med Biol
December 2024
Centre for Medical Radiation Physics, University of Wollongong, Northsfield Ave., Wollongong, New South Wales, 2522, AUSTRALIA.
The recently developed V79-RBEbiological weighting function (BWF) model is a simple and robust tool for a fast relative biological effectiveness (RBE) assessment for comparing different exposure conditions in particle therapy. In this study, the RBEderived by this model (through the Particle and Heavy Ion Transport code System (PHITS) simulated d(y) spectra) is compared with values of RBEusing experimentally derived d(y) spectra from a silicon-on-insulator (SOI) microdosimeter. Approach: Experimentally measured d(y) spectra are used to calculate an RBEvalue utilizing the V79-RBEBWF model as well as the modified microdosimetric kinetic model (MKM) to produce an RBE-vs-ytrend for a wide range of ions.
View Article and Find Full Text PDFPhys Med Biol
December 2024
Department of Biomedical Science and Engineering, Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo, Hokkaido 060-0812, Japan.
Liew and Mairani (2024.248001) commented on our previous reply to comments on our paper, 'Modeling for predicting survival fraction of cells after ultra-high dose rate irradiation'. We appreciate their comments on the choice of experimental data on DNA damage for cell survival and agree that the estimate of the dose-response curve on cell survival depends on the selection of DNA damage data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!