Application of a novel microdosimetry analysis and its radiobiological implication for high-LET radiation.
For short-range high-LET radiation therapy, the biological effects are strongly affected by the heterogeneity of the specific energy distribution delivered to tumor cells. Three-dimensional information at the cellular level is ideal for this type of study, but it is extremely difficult to obtain. In this paper, a novel microdosimetry analysis, which obtains the specific energy distribution directly from the morphological information in individual autoradiographic sections, is applied to in vivo human glioblastoma multiforme and normal brain tissue in boron neutron capture therapy. Specific energy distributions were obtained for both specimens, and they are consistent with a uniform boron microdistribution. We also used a biophysical model for cell survival analysis based on the specific energy and were able to bridge it with the model based on the corresponding macroscopic parameter (dose) using existing experimental data. The survival constant for the microscopic model was determined; cell survival curves were predicted for uniform and non-uniform source distributions, i.e., sources and cell nuclei bound together totally or only partially. The results indicate that the behavior of the survival curve can vary widely, which may have important clinical implications.
Lu
Xing-Qi
XQ
Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA. xlu@bidmc.harvard.edu
Kiger
W S
WS
D000465:Algorithms; D001345:Autoradiography / Q000379:methods; D016754:Boron Neutron Capture Therapy / Q000379:methods; D001921:Brain / Q000000981:diagnostic imaging; D001932:Brain Neoplasms / Q000532:radiotherapy*; D002467:Cell Nucleus / Q000528:radiation effects; D002470:Cell Survival / Q000528:radiation effects; D003198:Computer Simulation; D005260:Female; D005909:Glioblastoma / Q000532:radiotherapy*; D006801:Humans; D018499:Linear Energy Transfer; D008954:Models, Biological; D009010:Monte Carlo Method; D011859:Radiography; D011874:Radiometry / Q000379:methods*; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods; D011882:Radiotherapy, High-Energy / Q000379:methods*