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Med. Phys. 37, 3551 (2010); http://dx.doi.org/10.1118/1.3451117 (9 pages)

Evaluating 99mTc Auger electrons for targeted tumor radiotherapy by computational methods

Adriana Alexandre S. Tavares and João Manuel R. S. Tavares

Faculdade de Engenharia da Universidade do Porto (FEUP), Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal

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(Received 11 February 2010; accepted 20 May 2010; revised 19 May 2010; published online 15 June 2010)

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Purpose: Technetium-99m (99mTc) has been widely used as an imaging agent but only recently has been considered for therapeutic applications. This study aims to analyze the potential use of 99mTc Auger electrons for targeted tumor radiotherapy by evaluating the DNA damage and its probability of correct repair and by studying the cellular kinetics, following 99mTc Auger electron irradiation in comparison to iodine-131 (131I) beta minus particles and astatine-211 (211At) alpha particle irradiation.
Methods: Computational models were used to estimate the yield of DNA damage (fast Monte Carlo damage algorithm), the probability of correct repair (Monte Carlo excision repair algorithm), and cell kinetic effects (virtual cell radiobiology algorithm) after irradiation with the selected particles.
Results: The results obtained with the algorithms used suggested that 99mTc CKMMX (all M-shell Coster–Kroning—CK—and super-CK transitions) electrons and Auger MXY (all M-shell Auger transitions) have a therapeutic potential comparable to high linear energy transfer 211At alpha particles and higher than 131I beta minus particles. All the other 99mTc electrons had a therapeutic potential similar to 131I beta minus particles.
Conclusions: 99mTc CKMMX electrons and Auger MXY presented a higher probability to induce apoptosis than 131I beta minus particles and a probability similar to 211At alpha particles. Based on the results here, 99mTc CKMMX electrons and Auger MXY are useful electrons for targeted tumor radiotherapy.

© 2010 American Association of Physicists in Medicine

ACKNOWLEDGMENT

The authors wish to thank Dr. Robert Stewart (School of Health Sciences—Purdue University, USA) for providing the simulator software packages used and for his kind technical assistance.

Article Outline

  1. INTRODUCTION
  2. METHODS
    1. Fast Monte Carlo damage formation simulator
    2. Fast Monte Carlo excision repair simulator
    3. Virtual cell radiobiology simulator
    4. Simulated parameters
    5. Statistical analysis
  3. RESULTS
    1. MCDS and MCER results
    2. VC simulator
  4. DISCUSSION AND CONCLUSIONS

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