Vendor‐independent skin dose mapping application for interventional radiology and cardiology

Krajinović, Marko; Kržanović, Nikola; Ciraj-Bjelac, Olivera

doi:10.1002/acm2.13167

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…The comparison between PyMCGPU-IR and the experimental set-ups PA, PALAO and PALAOCRA show very good agreement in the calculation of the peak skin dose, with differences below 6 %. In a recent article [24], Krajinovic et al presented and validated the SkinCare application (Open Source). For validation purposes, among other tests, they used a similar set-up to measure skin dose and reported that the doses calculated by SkinCare were within 16.9 % of the measurements.…”

Section: Discussionmentioning

confidence: 99%

Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups

et al. 2022

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Interventional radiology procedures are associated with high skin dose exposure. The 2013/59/ EURATOM Directive establishes that the equipment used for interventional radiology must have a device or a feature informing the practitioner of relevant parameters for assessing patient dose at the end of the procedure. This work presents and validates PyMCGPU-IR, a patient dose monitoring tool for interventional cardiology and radiology procedures based on MC-GPU. MC-GPU is a freely available Monte Carlo (MC) code of photon transport in a voxelized geometry which uses the computational power of commodity Graphics Processing Unit cards (GPU) to accelerate calculations. Methodologies: PyMCGPU-IR was validated against two different experimental set-ups. The first one consisted of skin dose measurements for different beam angulations on an adult Rando Alderson anthropomorphic phantom. The second consisted of organ dose measurements in three clinical procedures using the Rando Alderson phantom. Results:The results obtained for the skin dose measurements show differences below 6%. For the clinical procedures the differences are within 20% for most cases. Conclusions: PyMCGPU-IR offers both, high performance and accuracy for dose assessment when compared with skin and organ dose measurements. It also allows the calculation of dose values at specific positions and organs, the dose distribution and the location of the maximum doses per organ. In addition, PyMCGPU-IR overcomes the time limitations of CPU-based MC codes.

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Section: Discussionmentioning

confidence: 99%

Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups

et al. 2022

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“…[5][6][7]10,12,16 A calibration curve is necessary to evaluate the response of the film as a function of film exposure since their response is not linear with the dose. 17,18 This study used the calibration curve that was established in the framework of the European project VERIDIC 8,11,12,19 that started in 2018 and mainly aimed to review and validate existing PSD software products on phantom conditions. GafChromic XR-RV3 films calibration was performed at the national metrology laboratory for ionizing radiation (LNHB, PARIS, FRANCE).…”

Section: Skin Dose Measurementsmentioning

confidence: 99%

“…Although the assessment of the PSD can be performed with a wide choice of detectors, 3 the use of software tools is more practical and economical. Different commercial skin dose mapping software packages have been developed to estimate the skin dose delivered to the patient during or after the IR procedure (for instance, Dose Tracking System (Canon Medical Systems), 4 DoseMap (GE Healthcare), 5,6 NEXO[dose] (BRACCO), 7 Radimetrics (Bayer), 8 DOSE (Qaelum), 9 Radiation Dose Monitor (Medsquare) 10 ). These software tools estimate the PSD using the dosimetry indicators and geometry information collected during the IR procedure.…”

Section: Introductionmentioning

confidence: 99%

Clinical benchmarking of a commercial software for skin dose estimation in cardiac, abdominal, and neurology interventional procedures

Hadid‐Beurrier,

Geryes,

Jean‐Pierre

et al. 2024

Medical Physics

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BackgroundRadiation exposure from interventional radiology (IR) could lead to potential risk of skin injury in patients. Several dose monitoring software like radiation dose monitor (RDM) were developed to estimate the patient skin dose (PSD) distribution in IR.PurposeThis study benchmarked the accuracy of RDM software in estimating PSD as compared to GafChromic film baseline in‐vivo measurements on patients during cardiac, abdominal, and neurology IR procedures.MethodsThe prospective study conducted in four IR departments included 81 IR procedures (25 cardiac, 31 abdominal, and 25 neurology procedures) on three angiographic systems. PSD and field geometry were measured by placing GafChromic film under the patient's back. Statistical analyses were performed to compare the software estimation and film measurement results in terms of PSD and geometric accuracy.ResultsMedian values of measured/calculated PSD were 1140/1005, 591/655.9, and 538/409.7 mGy for neurology, cardiac, and abdominal procedures, respectively. For all angiographic systems, the median (InterQuartile Range, IQR) difference between calculated and measured PSD was −10.2% (−21.8%–5.7%) for neurology, −4.5% (−19.5%–15.5%) for cardiac, and −21.9% (−38.7%–−3.6%) for abdominal IR procedures. These differences were not significant for all procedures (p > 0.05). Discrepancies increased up to −82% in lower dose regions where the measurement uncertainties are higher. Regarding the geometric accuracy, RDM correctly reproduced the skin dose map and estimated PSD area dimensions closely matched those registered on films with a median (IQR) difference of 0 cm (−1–0.8 cm).ConclusionsRDM is proved to be a useful solution for the estimation of PSD and skin dose distribution during abdominal, cardiac and neurology IR procedures despite a geometry phantom which is not specific to the latter type of IR procedures.

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Institutional Diagnostic Reference Levels and Peak Skin Doses in selected diagnostic and therapeutic interventional radiology procedures

et al. 2021

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Vendor‐independent skin dose mapping application for interventional radiology and cardiology

Cited by 6 publications

References 26 publications

Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups

Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups

Clinical benchmarking of a commercial software for skin dose estimation in cardiac, abdominal, and neurology interventional procedures

Institutional Diagnostic Reference Levels and Peak Skin Doses in selected diagnostic and therapeutic interventional radiology procedures

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