Evaluation of entrance surface air kerma in pediatric chest radiography

Porto, Luciano Conceição; Lunelli, N.; Paschuk, S.A.; Oliveira, Ana Emília Figueiredo de; Ferreira, Jessimon; Schelin, H.R.; Miguel, C.; Denyak, V.; Kmiecik, C.; Tilly, João Gilberto; Khoury, Helen J.

doi:10.1016/j.radphyschem.2014.02.014

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…Our findings showed that the median ESD values or the number of X-ray procedures performed for each neonate were higher than those reported previously (Sutton et al, 1998;Ono et al, 2003;Donadieu et al, 2006;Bader et al, 2007;Baert et al, 2008;Puch-Kapst et al, 2009). Although low voltage-high tube current time product combination shows good image quality, it could lead to high ESD (Frayre et al, 2012;Porto et al, 2014). Therefore, the use of low tube voltage techniques and lack of specialized neonatal radiologic technicians may explain the higher ESD in our study.…”

Section: Discussioncontrasting

confidence: 61%

Radiation exposure of very-low-birth-weight infants in neonatal intensive care units in Korea

et al. 2018

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To our knowledge, no study has reported the radiation doses of neonates admitted to neonatal intensive care units (NICUs) in Korea. Therefore, we evaluated the radiation frequency and dose of radiation performed in NICUs using mobile X-ray machines. We retrospectively analyzed the number of radiographs and doses among 290 very low-birth-weight infants (VLBWIs) admitted at our hospital between 2011 and 2016. We compared X-ray frequencies and radiation doses according to clinical characteristics and morbidities. The entrance surface doses (ESDs) were calculated using the non-dosimeter dosimetry formula. The median number of radiographs per infant was 26, and about 25% neonates had over 50 radiographs. The number of radiographs taken was higher for infants with low-birth-weight (LBW), respiratory distress syndrome, bronchopulmonary dysplasia, and longer central venous catheterization duration (p < 0.001 for all). The cumulative ESD was 0.18 to 9.89 mGy, and the ESD per radiograph was 0.049 to 0.069 mGy. The LBW and the more severe the neonates' condition, the greater was the radiation exposure. It is difficult to reduce the number of radiographic examinations, but the quality of examinations must be improved without compromising patient care. Additional studies are needed to minimize the cumulative exposure dose and achieve optimal image quality.

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Section: Discussioncontrasting

confidence: 61%

Radiation exposure of very-low-birth-weight infants in neonatal intensive care units in Korea

et al. 2018

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“…The research data used is the conformity test data for X-ray device Kasih Ibu Hospital, Kedonganan, Badung, Bali. Information on radiation output dose data such as field area 20 cm × 20 cm, tube current 200 mA, setting time 0.1 s, SID 100, and average patient thickness (tp) for PA projection of 23 cm (Costa & Pelegrino, 2014;Porto et al, 2014). With the test data for the suitability of the X-ray tube voltage, it is possible to determine the dose in Gy and the radiation output in Gy/mAs which is exemplified as follows:…”

Section: Resultsmentioning

confidence: 99%

General radiographic patient dose monitoring using conformity test data

Putra

Ratnawati

Sutapa

2021

irjeis

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Currently, the Nuclear Energy Supervisory Agency (BAPETEN) is actively guiding users or license holders related to patient protection against radiation hazards or often referred to as radiation protection and safety on medical exposure. Protection against medical exposure became a big issue when the mandatory compliance test on X-ray equipment for diagnostic and interventional radiology was introduced. In addition, license holders through their medical practitioners are also required to use the level of medical exposure guidelines. While PERKA BAPETEN No. 9, 2011 concerning the Suitability Test of Diagnostic and Interventional Radiology X-Ray device, states that one of the test parameters that directly affect the patient's radiation dose and determine the feasibility of operating the X-Ray device to the patient is information on the dose or rate of radiation dose received by the patient. Monitoring doses with Entrance Surface Air Kerma (ESAK) or what is often referred to as ESD (entrance surface dose) using suitability conformity test data starting from 50,60,70,80,90 and 100 kVp with 20 mAs at SID 100 meters. The results of the research on the value of ESAK was 0.049 mGy, an ESAK value that still met the national I-DRL value from BAPETEN Regulation No. 1211/K/V/2021.

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“…Without the suggested spectrum stripping procedure, the discrepancy between the derived spectrum and the reference spectrum was over 63%, but it was reduced to less than 0.2%. The kerma of the chest wall in kids and teens was investigated by Porto et al [ 6 ]. According to the findings of this study, air tension falls as tube voltage rises and exposure falls.…”

Section: Introductionmentioning

confidence: 99%

Air Kerma Calculation in Diagnostic Medical Imaging Devices Using Group Method of Data Handling Network

Zhang

Wang

et al. 2023

Diagnostics

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The air kerma, which is the amount of energy given off by a radioactive substance, is essential for medical specialists who use radiation to diagnose cancer problems. The amount of energy that a photon has when it hits something can be described as the air kerma (the amount of energy that was deposited in the air when the photon passed through it). Radiation beam intensity is represented by this value. Hospital X-ray equipment has to account for the heel effect, which means that the borders of the picture obtain a lesser radiation dosage than the center, and that air kerma is not symmetrical. The voltage of the X-ray machine can also affect the uniformity of the radiation. This work presents a model-based approach to predict air kerma at various locations inside the radiation field of medical imaging instruments, making use of just a small number of measurements. Group Method of Data Handling (GMDH) neural networks are suggested for this purpose. Firstly, a medical X-ray tube was modeled using Monte Carlo N Particle (MCNP) code simulation algorithm. X-ray tubes and detectors make up medical X-ray CT imaging systems. An X-ray tube’s electron filament, thin wire, and metal target produce a picture of the electrons’ target. A small rectangular electron source modeled electron filaments. An electron source target was a thin, 19,290 kg/m3 tungsten cube in a tubular hoover chamber. The electron source–object axis of the simulation object is 20° from the vertical. For most medical X-ray imaging applications, the kerma of the air was calculated at a variety of discrete locations within the conical X-ray beam, providing an accurate data set for network training. Various locations were taken into account in the aforementioned voltages inside the radiation field as the input of the GMDH network. For diagnostic radiology applications, the trained GMDH model could determine the air kerma at any location in the X-ray field of view and for a wide range of X-ray tube voltages with a Mean Relative Error (MRE) of less than 0.25%. This study yielded the following results: (1) The heel effect is included when calculating air kerma. (2) Computing the air kerma using an artificial neural network trained with minimal data. (3) An artificial neural network quickly and reliably calculated air kerma. (4) Figuring out the air kerma for the operating voltage of medical tubes. The high accuracy of the trained neural network in determining air kerma guarantees the usability of the presented method in operational conditions.

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Evaluation of entrance surface air kerma in pediatric chest radiography

Cited by 8 publications

References 5 publications

Radiation exposure of very-low-birth-weight infants in neonatal intensive care units in Korea

Radiation exposure of very-low-birth-weight infants in neonatal intensive care units in Korea

General radiographic patient dose monitoring using conformity test data

Air Kerma Calculation in Diagnostic Medical Imaging Devices Using Group Method of Data Handling Network

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