Name
Abstract | ||
|---|---|---|
Targeted alpha therapy (TAT) has the advantage of delivering therapeutic doses to individual cancer cells while reducing the dose to normal tissues. TAT applications relate to hematologic malignancies and now extend to solid tumors. Results from several clinical trials have shown efficacy with limited toxicity. However, the dosimetry for the labeled alpha particle is challenging because of the heterogeneous antigen expression among cancer cells and the nature of short-range, high-LET alpha radiation. This paper demonstrates that it is inappropriate to investigate the therapeutic efficacy of TAT bymacrodosimetry. The objective of this work is to review the microdosimetry of TAT as a function of the cell geometry, source-target configuration, cell sensitivity, and biological factors. A detailed knowledge of each of these parameters is required for accurate microdosimetric calculations. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1155/2012/153212 | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE |
Keywords | Field | DocType |
radioisotopes,cancer,radiotherapy,stochastic processes,dna repair,kinetics,alpha particles,alpha,dna damage,monte carlo method,radiometry,computer simulation,therapy | Nuclear medicine,Alpha (ethology),Antigen,Biology,Clinical trial,Dosimetry,Cell,Artificial intelligence,Cancer cell,Cancer research,Radiation therapy,Cancer,Machine learning | Journal |
Volume | ISSN | Citations |
2012 | 1748-670X | 1 |
PageRank | References | Authors |
0.63 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen-Yu Huang | 1 | 48 | 6.19 |
| S. Guatelli | 2 | 3 | 2.36 |
| Bradley M Oborn | 3 | 1 | 0.63 |
| Barry J Allen | 4 | 1 | 0.63 |