Review of skin dose calculation software in interventional cardiology

Malchair, F; Dabin, Jérémie; Deleu, Marine; Merce, Marta Sans; Bjelac, Olivera Ciraj; Gallagher, Aoife; Maccia, C.

doi:10.1016/j.ejmp.2020.09.023

Cited by 21 publications

(29 citation statements)

References 33 publications

(21 reference statements)

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“…The different MC-GPU approach used to calculate doses when compared with other software tools now available on the market should be commented on. The approach used by other software packages is the same and consists of the correction of the displayed air kerma given by the system by a set of factors accounting for different phenomena such as table attenuation or backscattering of the photons [5]. MC-GPU calculates mean doses in tissues and the peak doses for different organs as well as other complex analyses, such as cumulative dose volume histograms.…”

Section: Discussionmentioning

confidence: 99%

“…Different monitoring software packages have been developed to tackle these limitations and also to fulfil the need for automatic recording and evaluation of patient-relevant data [3]. In particular, due to the risk of skin injuries [4], special attention has been paid to skin dose and several codes claim to be able to estimate it or are even specially designed to assess it [5]. In the vast majority of cases these codes apply mathematical models and the patient is either described in a simplistic way [6,7,8,9] or more complex models are used [10,11].…”

Section: Introductionmentioning

confidence: 99%

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Validation of the MC-GPU Monte Carlo code against the PENELOPE/penEasy code system and benchmarking against experimental conditions for typical radiation qualities and setups in interventional radiology and cardiology

et al. 2021

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Introduction: Interventional procedures are associated with potentially high radiation doses to the skin. º Monte Carlo codes of radiation transport are considered to be one of the most reliable tools available to assess doses. However, they are usually too time consuming for use in clinical practice. This work presents the validation of the fast Monte Carlo code MC-GPU for application in interventional radiology. Methodologies: MC-GPU calculations were compared against the well-validated Monte Carlo simulation code PENELOPE/penEasy by simulating the organ dose distribution in a voxelized anthropomorphic phantom. In a second phase, the code was compared against thermoluminescent measurements performed on slab phantoms, both in a calibration laboratory and at a hospital. Results: The results obtained from the two simulation codes show very good agreement, differences in the output were within 1%, whereas the calculation time on the MC-GPU was 2500 times shorter. Comparison with measurements is of the order of 10%, within the associated uncertainty. Conclusions: It has been verified that MC-GPU provides good estimates of the dose when compared to PENELOPE program. It is also shown that it presents very good performance when assessing organ doses in very short times, less than one minute, in real clinical set-ups. Future steps would be to simulate complex procedures with several projections.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of the MC-GPU Monte Carlo code against the PENELOPE/penEasy code system and benchmarking against experimental conditions for typical radiation qualities and setups in interventional radiology and cardiology

et al. 2021

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“…From these data, a dose distribution can be calculated, represented graphically and the PSD determined. Figure 4 shows a coloured dose map during a cardiological procedure [ 14 ]. Since all geometrical data are based on parameters of the modality, large errors or unusable results arise when the patient's position relative to the table changes.…”

Section: Parameters Of Patient Exposurementioning

confidence: 99%

“…4 Example of a peak skin dose map from cardiology (Dose Tracking Software DTS, Canon Medical Systems). This map together with numerical dose information was generated by a DMS after the procedure [ 14 ] …”

Section: Parameters Of Patient Exposurementioning

confidence: 99%

How to Measure/Calculate Radiation Dose in Patients?

Loose

Wucherer

2021

Cardiovasc Intervent Radiol

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Patients in fluoroscopically guided interventions (FGI) may be exposed to substantial radiation dose levels (SRDL). The most commonly reported adverse reactions are skin injuries with erythema or necrosis. It is therefore important for the interventional radiologist to know deterministic effects with their threshold doses. If possible all relevant modality parameters should be displayed on the interventionalists screen. Dosimetric parameters should be displayed in digital imaging and communications in medicine (DICOM) units and stored as DICOM Radiation Dose Structured Report (RDSR). The peak skin dose (PSD) is the most relevant risk parameter for skin injuries. Dose management systems (DMS) help optimising radiation exposure of patients. However, their calculation of skin dose maps is only available after a FGI. Therefore, dose maps and PSD should preferably be calculated and displayed in real time by the modality.

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“…Several software tools have been developed for the skin dose calculation (SDC) in order to provide the peak skin dose (PSD) during or after the procedure [4]. The approach used by most of SDC tools to estimate the PSD is the same and consists of the methodology proposed by Jones and Pasciak [5].…”

Section: Introductionmentioning

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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Review of skin dose calculation software in interventional cardiology

Cited by 21 publications

References 33 publications

Validation of the MC-GPU Monte Carlo code against the PENELOPE/penEasy code system and benchmarking against experimental conditions for typical radiation qualities and setups in interventional radiology and cardiology

Validation of the MC-GPU Monte Carlo code against the PENELOPE/penEasy code system and benchmarking against experimental conditions for typical radiation qualities and setups in interventional radiology and cardiology

How to Measure/Calculate Radiation Dose in Patients?

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

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