Literature DB >> 3671495

Electron dose distributions in experimental phantoms: a comparison with 2D pencil beam calculations.

J Cygler1, J J Battista, J W Scrimger, E Mah, J Antolak.   

Abstract

Dose distributions were measured and computed within inhomogeneous phantoms irradiated with beams of electrons having initial energies of 10 and 18 MeV. The measurements were made with a small p-type silicon diode and the calculations were performed using the pencil beam algorithm developed originally at the M D Anderson Hospital (MDAH). This algorithm, which is available commercially on many radiotherapy planning computers, is based on the Fermi-Eyges theory of electron transport. The phantoms used in this work were composed of water into which two- and three-dimensional inhomogeneities of aluminum and air (embedded in wax) were introduced. This was done in order to simulate the small bones and the air cavities encountered clinically in radiation therapy of the chest wall or neck. Our intent was to test the adequacy of the two-dimensional implementation of the pencil beam approach. The agreement between measured and computed doses is very good for inhomogeneities which are essentially two-dimensional but discrepancies as large as 40% were observed for more complex three-dimensional inhomogeneities. We can only trace the discrepancies to the complex interplay of numerous approximations in the Fermi-Eyges theory of multiple scattering and its adaptation for practical computer-aided radiotherapy planning.

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Year:  1987        PMID: 3671495     DOI: 10.1088/0031-9155/32/9/001

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  9 in total

1.  Effects of energy spectrum on dose distribution calculations for high energy electron beams.

Authors:  Abdelkader Toutaoui; Nadia Khelassi-Toutaoui; Zakia Brahimi; Ahmed Chafik Chami
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Review 2.  Monte Carlo systems used for treatment planning and dose verification.

Authors:  Lorenzo Brualla; Miguel Rodriguez; Antonio M Lallena
Journal:  Strahlenther Onkol       Date:  2016-11-25       Impact factor: 3.621

3.  Preliminary comparison of helical tomotherapy and mixed beams of unmodulated electrons and intensity modulated radiation therapy for treating superficial cancers of the parotid gland and nasal cavity.

Authors:  Olivier Blasi; Jonas D Fontenot; Robert S Fields; John P Gibbons; Kenneth R Hogstrom
Journal:  Radiat Oncol       Date:  2011-12-28       Impact factor: 3.481

4.  Review of fast monte carlo codes for dose calculation in radiation therapy treatment planning.

Authors:  Keyvan Jabbari
Journal:  J Med Signals Sens       Date:  2011-01

5.  Monte Carlo Dose Calculation - A QA Method for SRT and SBRT Plans in Treating Multiple and Small Metastatic Lesions.

Authors:  Teh Lin; Lu Wang; C-M Charlie Ma
Journal:  J Med Phys       Date:  2022-03-31

6.  AAPM Medical Physics Practice Guideline 5.a.: Commissioning and QA of Treatment Planning Dose Calculations - Megavoltage Photon and Electron Beams.

Authors:  Jennifer B Smilowitz; Indra J Das; Vladimir Feygelman; Benedick A Fraass; Stephen F Kry; Ingrid R Marshall; Dimitris N Mihailidis; Zoubir Ouhib; Timothy Ritter; Michael G Snyder; Lynne Fairobent
Journal:  J Appl Clin Med Phys       Date:  2015-09-08       Impact factor: 2.102

7.  AAPM MEDICAL PHYSICS PRACTICE GUIDELINE 5.b: Commissioning and QA of treatment planning dose calculations-Megavoltage photon and electron beams.

Authors:  Mark W Geurts; Dustin J Jacqmin; Lindsay E Jones; Stephen F Kry; Dimitris N Mihailidis; Jared D Ohrt; Timothy Ritter; Jennifer B Smilowitz; Nicholai E Wingreen
Journal:  J Appl Clin Med Phys       Date:  2022-08-10       Impact factor: 2.243

8.  Monte Carlo N Particle code - Dose distribution of clinical electron beams in inhomogeneous phantoms.

Authors:  H A Nedaie; M A Mosleh-Shirazi; M Allahverdi
Journal:  J Med Phys       Date:  2013-01

9.  Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm.

Authors:  Aizhen Zhang; Ning Wen; Teamour Nurushev; Jay Burmeister; Indrin J Chetty
Journal:  J Appl Clin Med Phys       Date:  2013-03-04       Impact factor: 2.102

  9 in total

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