Real-Time Patient Radiation Dose Monitoring System Used in a Large University Hospital

Kim, Jung-Su; Yoon, Yongsu; Seo, Deoknam; Kwon, Soon-Mu; Shim, Jina; Kim, Jungmin

doi:10.1007/s10278-016-9880-2

Cited by 9 publications

(8 citation statements)

References 14 publications

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“…The ESD is commonly employed for evaluating the patient exposure dose and the risk of radiation exposure in medicine [ 10 , 19 ]. To achieve the justification and optimization concept on the usage of medical radiation, the tendency of ESD with various phantom thicknesses should be reflected in the clinical EI.…”

Section: Discussionmentioning

confidence: 99%

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Proper Management of the Clinical Exposure Index Based on Body Thickness Using Dose Optimization Tools in Digital Chest Radiography: A Phantom Study

Yoon

Park

Kim

et al. 2021

IJERPH

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In radiography, the exposure index (EI), as per the International Electrotechnical Commission standard, depends on the incident beam quality and exposure dose to the digital radiography system. Today automatic exposure control (AEC) systems are commonly employed to obtain the optimal image quality. An AEC system can maintain a constant incident exposure dose on the image receptor regardless of the patient thickness. In this study, we investigated the relationship between body thickness, entrance surface dose (ESD), EI, and the exposure indicator (S value) with the aim of using EI as the dose optimization tool in digital chest radiography (posterior–anterior and lateral projection). The exposure condition from the Korean national survey for determining diagnostic reference levels and two digital radiography systems (photostimulable phosphor plate and indirect flat panel detector) were used. As a result, ESD increased as the phantom became thicker with constant exposure indicator, which indicates similar settings to an AEC system, but the EI indicated comparatively constant values without following the tendency of ESD. Therefore, body thickness should be considered under the AEC system for introducing EI as the dose optimization tool in digital chest radiography.

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Section: Discussionmentioning

confidence: 99%

“…Several methods were available to record the exposure dose for monitoring systems such as the kerma-area product meter and numerical dose determination (NDD) method [ 8 , 9 , 10 ]. However, these methods have a complicated process to measure and calculate the entrance exposure dose.…”

Section: Introductionmentioning

confidence: 99%

Proper Management of the Clinical Exposure Index Based on Body Thickness Using Dose Optimization Tools in Digital Chest Radiography: A Phantom Study

Yoon

Park

Kim

et al. 2021

IJERPH

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“…If the dose has dropped below a level of 40 μSv/h, the measurement stopped until the radiation exposure again exceeded the start trigger level. The system operated with similar dose rejection thresholds as live‐screen dosimeter systems from other manufacturers, 9 , 20 , 21 , 22 , 23 , 24 which increases the comparability of measurements. Furthermore, we believe that the performance in other institutions with similarly organized angiographic structures will not differ significantly given the reproducible results of radiation dose measurements in our study.…”

Section: Discussionmentioning

confidence: 99%

Reduction of radiation dose using real‐time visual feedback dosimetry during angiographic interventions

Koch

Conrades

Gruenewald

et al. 2022

J Applied Clin Med Phys

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This prospective study sought to evaluate potential savings of radiation dose to medical staff using real‐time dosimetry coupled with visual radiation dose feedback during angiographic interventions. For this purpose, we analyzed a total of 214 angiographic examinations that consisted of chemoembolizations and several other types of therapeutic interventions. The Unfors RaySafe i2 dosimeter was worn by the interventionalist at chest height over the lead protection. A total of 110 interventions were performed with real‐time radiation dosimetry allowing the interventionalist to react upon higher x‐ray exposure and 104 examinations served as the comparative group without real‐time radiation monitoring. By using the real‐time display during interventions, the overall mean operator radiation dose decreased from 3.67 (IQR, 0.95–23.01) to 2.36 μSv (IQR, 0.52–12.66) (−36%; p = 0.032) at simultaneously reduced operator exposure time by 4.5 min ( p = 0.071). Dividing interventions into chemoembolizations and other types of therapeutic interventions, radiation dose decreased from 1.31 (IQR, 0.46‐3.62) to 0.95 μSv (IQR, 0.53‐3.11) and from 24.39 (IQR, 12.14‐63.0) to 10.37 μSv (IQR, 0.85‐36.84), respectively, using live‐screen dosimetry ( p ≤ 0.005). Radiation dose reductions were also observed for the participating assistants, indicating that they could also benefit from real‐time visual feedback dosimetry during interventions (−30%; p = 0.039). Integration of real‐time dosimetry into clinical processes might be useful in reducing occupational radiation exposure time during angiographic interventions. The real‐time visual feedback raised the awareness of interventionalists and their assistants to the potential danger of prolonged radiation exposure leading to the adoption of radiation‐sparing practices. Therefore, it might create a safer environment for the medical staff by keeping the applied radiation exposure as low as possible.

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“…This system utilized the radiation dose dataarchiving method of standard digital imaging and communications in medicine (DICOM) dose structured report combined with a DICOM modality performed procedure step. The capabilities of this system were to display the graphs for analyzing each patient, equipment setup, operator, and examination (14).…”

Section: Discussionmentioning

confidence: 99%

Health Information from Management to Technology: Development of a Radiology Patient Safety Monitoring System

Karami¹,

Hafizi²,

Refahi³

2021

Preprint

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Background: Medical imaging is an intervention through which patient safety (PS) is of great importance. In monitoring PS, the major challenges include lack of relevant data, proper control, and appropriate feedback in taking the necessary measures. To meet these deficiencies, the related data should be investigated precisely and advanced technology should be applied to monitor the quality of imaging.Objective: The purpose of this study was to design and develop a PS monitoring system at the radiology department to mitigate adverse events.Methods: This developmental research was conducted in multiple phases including content determination using Delphi technique, conceptual modeling using Rational Rose software, database designing using SQL Server, user interface (UI) building using Agile software, and system evaluating in three aspects of UI requirements, the accuracy of calculating, and usability. Results: In this study, 110 PS-related important data elements were identified in 14 main groups and 26 PS performance metrics, as the system contents. The ERD and UML diagrams were drawn and the UI was created in three tabs: pre-procedure, intra-procedure, and post-procedure. Finally, the evaluation results proved the technical feasibility and application prospect of the radiology patient safety monitoring system (RPSMS). Finally, the usability of the system was highly rated (76.3 from 100).Conclusion: The RPSMS, offers the possibility to complement the datasheets for gaining a more accurate picture of the PS status and bringing up its aspects, which might otherwise go unnoticed or be underestimated by clinicians.

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Real-Time Patient Radiation Dose Monitoring System Used in a Large University Hospital

Cited by 9 publications

References 14 publications

Proper Management of the Clinical Exposure Index Based on Body Thickness Using Dose Optimization Tools in Digital Chest Radiography: A Phantom Study

Proper Management of the Clinical Exposure Index Based on Body Thickness Using Dose Optimization Tools in Digital Chest Radiography: A Phantom Study

Reduction of radiation dose using real‐time visual feedback dosimetry during angiographic interventions

Health Information from Management to Technology: Development of a Radiology Patient Safety Monitoring System

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