Medical Physics: Forming and testing solutions to clinical problems

Tsapaki, Virginia; Bayford, Richard

doi:10.1016/j.ejmp.2015.05.017

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…Secondary radiations generated on the surface significantly affect the skin dose (Ravikumar & Ravichandran, 2000;Mowery & Singh, 2023). Contaminated electrons in the head of the therapy device can be caused by components such as primary collimator, flattening filter, monitor ion chambers, target, and treatment set-up parameters such as field size, wedge filter, block carrier tray, patient fixation tools, and source-skin distance (SSD) (Tsapaki & Bayford, 2015;Ng et al, 2022). While the patient is irradiated, the SSD is very important for the skin dose.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Surface Dose Accuracy of Two Dose Calculation Algorithms Using Thermoluminescent Dosimeters

GÜL

2023

Gazi University Journal of Science Part A: Engineering and Innovation

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Accurate estimation of the surface dose in radiotherapy is very important in reducing skin reactions. This study aims to evaluate the accuracy of two different treatment planning algorithms in calculating the surface dose in a specially designed phantom using thermoluminescent dosimetry (TLD). In this study, a special phantom was designed for surface dose measurement. The phantom surface consisted of an adhesive bolus for the adhesion of TLDs. 121 TLDs were placed 1 cm apart on the bolus surface. In TPS, irradiation plans were created at different fields and source-surface distances (SSD). Dose calculations were made with Anisotropic Algorithm algorithms (AAA) and Pencil Beam Convolution (PBC) algorithms for all plans. The mean dose was measured for each point. For each of the 4x4, 6x6, 8x8, 10x10, and 12x12 cm2 domains, the TLDs within the domain were approximately 1 cm inward from the edge. To measure the effect of SSD on surface dose, the isocenter point was located at depths of 0 cm, 2.5 cm and 5.0 cm, respectively. The surface dose at each depth was measured with TLDs. The doses calculated by the AAA and PBC algorithms were compared with the doses measured by TLDs. The AAA algorithm overestimates the surface dose by 4% compared to the TLD measurement for the 4x4 field. The surface dose calculation of the PBC algorithm was found to be high when compared to TLD measurements for all SSDs and fields. There was a significant difference between the PBC algorithm dose calculation and TLD measurements in all fields and SSDs (p<0.001). It was observed that the AAA algorithm performed better in calculating the surface dose than the PBC algorithm. AAA and PBC algorithm users are advised to be more careful about surface dose calculation.

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Section: Introductionmentioning

confidence: 99%

Investigation of Surface Dose Accuracy of Two Dose Calculation Algorithms Using Thermoluminescent Dosimeters

GÜL

2023

Gazi University Journal of Science Part A: Engineering and Innovation

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“…The trend toward using more sophisticated and technologically complex equipment and procedures in radiation oncology requires additional safeguards to improve patient safety [15]., It also provides opportunities for innovation. A survey of radiation oncology professionals [16] shows that any technology solution must meet the requirements for cost efficiencies and time efficiency.…”

Section: Introductionmentioning

confidence: 99%

A Knowledge based Automatic Radiation Treatment Plan Alert System

Bai¹,

Xia²

2021

IJAIA

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In radiation therapy, preventing treatment plan errors is of paramount importance. In this paper, an alert system is proposed and developed for checking if the pending cancer treatment plan is consistent with the intended use. A key step in the development of the paper is characterization of various treatment plan fingerprints by three-dimension vectors taken from possibly thousands of variables in each treatment plan. Then three machine learning based algorithms are developed and tested in the paper. The first algorithm is a knowledge-based support vector machine method. If an incorrect treatment plan were offered, the algorithm would tell that the pending treatment plan is inconsistent with the intended use and provide a red flag. The algorithm is tested on the actual patient data sets with 100% successful rate and 0% failure rate. In addition, two algorithms based on the well-known k-nearest neighbour and Bayesian approach respectively are developed. Similar to the support vector machine algorithm, these two algorithms are also tested with 100% success rate and 0% failure rate. The key seems to pick up the right features.

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“…The Congress was the first event supervised and organized by EFOMP in contrast to previous events. The decision to have an EFOMP Congress was driven by the successful 8th European Conference of Medical Physics held in Athens, Greece in 2014 [5]. The 1st ECMP structure comprised of the President, the Vice President, the Congress Program Committee, the local Organizing Committee, the Scientific Committee, and finally the Awards Committee.…”

Section: Introductionmentioning

confidence: 99%

1st European Congress of Medical Physics September 1–4, 2016; Medical Physics innovation and vision within Europe and beyond

et al. 2017

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Medical Physics: Forming and testing solutions to clinical problems

Abstract: The enormous evolution in medical technology and the vast growth in the use of

Cited by 5 publications

References 29 publications

Investigation of Surface Dose Accuracy of Two Dose Calculation Algorithms Using Thermoluminescent Dosimeters

Investigation of Surface Dose Accuracy of Two Dose Calculation Algorithms Using Thermoluminescent Dosimeters

A Knowledge based Automatic Radiation Treatment Plan Alert System

1st European Congress of Medical Physics September 1–4, 2016; Medical Physics innovation and vision within Europe and beyond

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