Exposures in interventional radiology using Monte Carlo simulation coupled with virtual anthropomorphic phantoms

Santos, William S.; Neves, Lucio Pereira; Perini, Ana Paula; Belinato, Walmir; Caldas, Linda V.E.; Carvalho, A. B.; Maia, Ana F.

doi:10.1016/j.ejmp.2015.06.011

Cited by 14 publications

(8 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, estimation of patient dose through DCCs is not straightforward, as DCCs are usually only derived for a limited number of specific procedures. Differences in clinical setting such as beam angle, projection view, FOV, beam quality, exposure parameters, the use of filtration, etc., can lead to discrepancies in DCCs which could subsequently cause a high percentage of error in dose estimation [81,102]. Other factors such as disagreement on patient-phantom matching and beam alignment as mentioned in Sections 5.2.1 and 5.2.2 are also present and contribute to high relative error, as DCCs are sensitive to anthropometric changes especially the subcutaneous fats located superficial to major target organs [77,99].…”

Section: Dose Conversion Coefficients (Dccs)mentioning

confidence: 99%

Monte Carlo-based patient internal dosimetry in fluoroscopy-guided interventional procedures: A review

2021

View full text Add to dashboard Cite

This systematic review aims to understand the dose estimation approaches and their major challenges. Specifically, we focused on state-of-the-art Monte Carlo (MC) methods in fluoroscopy-guided interventional procedures. Methods: All relevant studies were identified through keyword searches in electronic databases from inception until September 2020. The searched publications were reviewed, categorised and analysed based on their respective methodology.Results: Hundred and one publications were identified which utilised existing MC-based applications/programs or customised MC simulations. Two outstanding challenges were identified that contribute to uncertainties in the virtual simulation reconstruction. The first challenge involves the use of anatomical models to represent individuals. Currently, phantom libraries best balance the needs of clinical practicality with those of specificity. However, mismatches of anatomical variations including body size and organ shape can create significant discrepancies in dose estimations. The second challenge is that the exact positioning of the patient relative to the beam is generally unknown. Most dose prediction models assume the patient is located centrally on the examination couch, which can lead to significant errors. Conclusion:The continuing rise of computing power suggests a near future where MC methods become practical for routine clinical dosimetry. Dynamic, deformable phantoms help to improve patient specificity, but at present are only limited to adjustment of gross body volume. Dynamic internal organ displacement or reshaping is likely the next logical frontier. Image-based alignment is probably the most promising solution to enable this, but it must be automated to be clinically practical.

show abstract

Section: Dose Conversion Coefficients (Dccs)mentioning

confidence: 99%

Monte Carlo-based patient internal dosimetry in fluoroscopy-guided interventional procedures: A review

2021

View full text Add to dashboard Cite

show abstract

“…Although numerous patients have greatly benefited from cardiac interventional radiology (IR), radiation-induced skin injuries have been reported in several cardiac IR procedures [1–12]. These deterministic effects arise because these complicated procedures tend to require an extended fluoroscopic exposure time and repeated digital angiography (DA) with various angles of X-ray projection.…”

Section: Introductionmentioning

confidence: 99%

New real-time patient radiation dosimeter for use in radiofrequency catheter ablation

Kato

Chida

Nakamura

et al. 2019

Journal of Radiation Research

View full text Add to dashboard Cite

In a previous study, we reported on a novel (prototype) real-time patient dosimeter with non-toxic phosphor sensors. In this study, we developed new types of sensors that were smaller than in the previous prototype, and clarified the clinical feasibility of our newly proposed dosimeter. Patient dose measurements obtained with the newly proposed real-time dosimeter were compared with measurements obtained using a calibrated radiophotoluminescence glass reference dosimeter (RPLD). The reference dosimeters were set at almost the same positions as the new real-time dosimeter sensors. We found excellent correlations between the reference RPLD measurements and those obtained using our new real-time dosimeter (r2 = 0.967). However, the new type of dosimeter was found to underestimate radiation skin dose measurements when compared with an RPLD. The most probable reason for this was the size reduction in the phosphor sensor of the new type of dosimeter. We believe that, as a result of reducing the phosphor sensor size, the backscattered X-ray irradiation was underestimated. However, the new dosimeter can accurately determine the absorbed dose by correcting the measured value with calibration factors. The calibration factor for the new type dosimeter was determined (by linear regression) to be ~1.15. New real-time patient dosimeter design would be an effective tool for the real-time measurement of patient skin doses during interventional radiology treatments.

show abstract

“…Study of interventional radiology occupational exposures has also been made using the Monte Carlo (MC) technique [12] [13] [14]. This said, the stray radiation 3D distribution has not been previously obtained via MC simulation using the high definition reference Korean-man (HDRK-man) virtual anthropomorphic phantom [15].…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo Study of 3D Stray Radiation during Interventional Procedures

Alzimami¹

2018

IJMPCERO

View full text Add to dashboard Cite

In interventional medical procedures, other than the highly important issue of optimizing image quality and patient exposure using the primary beam, there remains a continuing need for the study of staff exposure from the scattered radiation. Herein, investigation is made of the 3D stray-radiation distribution, the simulation being made of a realistic interventional scenario through use of the Monte Carlo code Geant4 (version 10.3). The simulation is conducted based on the high definition reference Korean-man (HDRK-man) computational phantom and a GE Infinia 3/8" C-arm machine, focusing on the effect of variation of kVp and field of view (FoV) on the scattered particles' spatial distribution. With direct measurement of the absorbed dose remaining challenging, not least in respect of the organs at risk, we computed the scatter fractions, defined as the ratio of the air kerma free-in-air to the entrance surface air kerma (ESAK), which are both easily quantifiable. Scatter fraction distributions were simulated for X-ray tube outputs (and half-value layers, HVL) of 60 kVp (2.3 mm Al), 80 kVp (3.2 mm Al) and 120 kVp (4.3 mm Al) and FoV of 15, 20, 25 and 30 cm. The distributions are obtained for different height levels, corresponding to the lens of the eye, and the lung and prostate, all radiosensitive organs. Investigations are made for eight likely locations around the patient. At fixed FoV results reveal an inverse relationship between ESAK and kVp, also that change in kVp from 60 to 80 has a greater effect than from 80 to 120. For change in FoV at fixed kVp, the scatter fraction remains constant. The particular staff locations are found to be optimal in seeking mitigation of dose. Moreover, the combined usage of numerical human model and Monte Carlo simulation can be considered as an added value to the radiation safety research field, especially to the interventional radiology staff and to the patient.

show abstract

Exposures in interventional radiology using Monte Carlo simulation coupled with virtual anthropomorphic phantoms

Cited by 14 publications

References 16 publications

Monte Carlo-based patient internal dosimetry in fluoroscopy-guided interventional procedures: A review

Monte Carlo-based patient internal dosimetry in fluoroscopy-guided interventional procedures: A review

New real-time patient radiation dosimeter for use in radiofrequency catheter ablation

Monte Carlo Study of 3D Stray Radiation during Interventional Procedures

Contact Info

Product

Resources

About