Literature DB >> 11243343

Lung dose calculations at kilovoltage x-ray energies using a model-based treatment planning system.

P Alaei1, B J Gerbi, R A Geise.   

Abstract

The determination of the dose to organs from diagnostic x rays has become important because of reports of radiation injury to patients from fluoroscopically guided interventional procedures. We have modified a convolution/superposition-based treatment planning system to compute the dose distribution for kilovoltage beams. We computed lung doses using this system and compared them to those calculated using the CDI3 organ dose calculation program. We also computed average lung doses from a simulated radiofrequency ablation procedure and compared our results to published doses for a similar procedure. Doses calculated using this system were an average of 20% lower for AP beams and 7% higher for PA beams than those obtained using CDI3. The ratio of the average dose to the lungs to the skin dose from the simulated ablation procedure ranged from 25% higher to 15% lower than that determined by other authors. Our results show that a treatment planning system designed for use in the megavoltage energy range can be used for calculating organ doses in the diagnostic energy range. Our doses compare well with those previously reported. Differences are partly due to variations in experimental techniques. Using a three-dimensional (3-D) treatment planning system to calculate dose also allows us to generate dose volume histograms (DVH) and compute normal tissue complication probabilities (NTCP) for diagnostic procedures.

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Year:  2001        PMID: 11243343     DOI: 10.1118/1.1339225

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  2 in total

1.  Commissioning kilovoltage cone-beam CT beams in a radiation therapy treatment planning system.

Authors:  Parham Alaei; Emiliano Spezi
Journal:  J Appl Clin Med Phys       Date:  2012-11-08       Impact factor: 2.102

2.  Evaluation of IGRT-Induced Imaging Doses and Secondary Cancer Risk for SBRT Early Lung Cancer Patients In Silico Study.

Authors:  Yan-Hua Duan; Heng-Le Gu; Xiao-Hui Yang; Hua Chen; Hao Wang; Yan Shao; Xiao-Yang Li; Ai-Hui Feng; Yan-Chen Ying; Xiao-Long Fu; Kui Ma; Tao Zhou; Zhi-Yong Xu
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec
  2 in total

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