Dosimetric evaluation of the effect of dental implants in head and neck radiotherapy

Özen, Jülide; Dırıcan, Bahar; Oysul, Kaan; Beyzadeoğlu, Murat; Üçok, Özlem; Beydemir, Bedri

doi:10.1016/j.tripleo.2004.11.048

Cited by 43 publications

(35 citation statements)

References 18 publications

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“…The limits and deficiencies of the algorithms used in the treatment planning systems can lead to large errors in dose calculation, and this may adversely affect the patient's treatment 2 , 3 . Radiation scatter from high atomic number (Z) materials cause both soft and hard tissue complications in the oral cavity in head and neck region radiotherapy planning (4) . Therefore, dental implants can increase the risk of complications on the mucosa, such as mucositis and osteoradionecrosis 5 , 6 …”

Section: Introductionmentioning

confidence: 99%

High‐density dental implants and radiotherapy planning: evaluation of effects on dose distribution using pencil beam convolution algorithm and Monte Carlo method

Çatlı

2015

J Applied Clin Med Phys

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High atomic number and density of dental implants leads to major problems at providing an accurate dose distribution in radiotherapy and contouring tumors and organs caused by the artifact in head and neck tumors. The limits and deficiencies of the algorithms using in the treatment planning systems can lead to large errors in dose calculation, and this may adversely affect the patient's treatment. In the present study, four commercial dental implants were used: pure titanium, titanium alloy (Ti‐6Al‐4V), amalgam, and crown. The effects of dental implants on dose distribution are determined with two methods: pencil beam convolution (PBC) algorithm and Monte Carlo code for 6 MV photon beam. The central axis depth doses were calculated on the phantom for a source–skin distance (SSD) of 100 cm and a 10×10 cm2 field using both of algorithms. The results of Monte Carlo method and Eclipse TPS were compared to each other and to those previously reported. In the present study, dose increases in tissue at a distance of 2 mm in front of the dental implants were seen due to the backscatter of electrons for dental implants at 6 MV using the Monte Carlo method. The Eclipse treatment planning system (TPS) couldn't precisely account for the backscatter radiation caused by the dental prostheses. TPS underestimated the back scatter dose and overestimated the dose after the dental implants. The large errors found for TPS in this study are due to the limits and deficiencies of the algorithms. The accuracy of the PBC algorithm of Eclipse TPS was evaluated in comparison to Monte Carlo calculations in consideration of the recommendations of the American Association of Physicists in Medicine Radiation Therapy Committee Task Group 65. From the comparisons of the TPS and Monte Carlo calculations, it is verified that the Monte Carlo simulation is a good approach to derive the dose distribution in heterogeneous media.PACS numbers: 87.55.K‐

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Section: Introductionmentioning

confidence: 99%

High‐density dental implants and radiotherapy planning: evaluation of effects on dose distribution using pencil beam convolution algorithm and Monte Carlo method

Çatlı

2015

J Applied Clin Med Phys

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“…14 Another important issue related to the metallic implants is that their presence evokes considerable scattering rays in the field of irradiation. 15,16 Currently, there are more than 1300 dental implant systems available on the dental market that differ in size, shape, and surface characteristics. 17 Yet, during the last 2 decades, efforts are being made to develop metal-free implants, abutments, and restorative materials.…”

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confidence: 99%

High-Performance Polymers and Their Potential Application as Medical and Oral Implant Materials

Wiesli¹,

Özcan²

2015

Implant Dentistry

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“…Firstly, the presence of the implant may cause a change in the radiation dose distribution around the dental implant [4, 10, 11]. Radiation scatter and electronic disequilibrium from implant materials are thought to cause both soft and hard tissue complications in the oral cavity.…”

Section: Discussionmentioning

confidence: 99%

“…The radiation dose, tumor location, dental trauma, premorbid state of dentition, and concomitant chemoradiotherapy are thought to be contributing factors for ORN [1–3]. Most patients with head and neck cancer are aged 50 years or more and include those who have dental prosthetic implants [4]. Dental implant surgery and/or the peri-implant tissue condition might represent a possible etiology for ORN.…”

Section: Introductionmentioning

confidence: 99%

A case of peri-implantitis and osteoradionecrosis arising around dental implants placed before radiation therapy

et al. 2016

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Dosimetric evaluation of the effect of dental implants in head and neck radiotherapy

Cited by 43 publications

References 18 publications

High‐density dental implants and radiotherapy planning: evaluation of effects on dose distribution using pencil beam convolution algorithm and Monte Carlo method

High‐density dental implants and radiotherapy planning: evaluation of effects on dose distribution using pencil beam convolution algorithm and Monte Carlo method

High-Performance Polymers and Their Potential Application as Medical and Oral Implant Materials

A case of peri-implantitis and osteoradionecrosis arising around dental implants placed before radiation therapy

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