Comparing different methods for estimating radiation dose to the conceptus

López-Rendón, Xóchitl; Walgraeve, Marie-Sofie; Woussen, S; Dedulle, An; Zhang, G.; Bosmans, Hilde; Zanca, Federica

doi:10.1007/s00330-016-4389-0

Cited by 11 publications

(10 citation statements)

References 18 publications

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“…The agreement between the CTDI measurements and CTDI simulations were in conformance with previous MC program validations [22,23]. The results of this study also compare reasonably well with previously published fetal dose values [8][9][10][11][12][13][14][15]. Deviations were expected due to TCM and differences in the scanning parameters and phantom properties.…”

Section: Discussionsupporting

confidence: 90%

“…Therefore, the dose absorbed by the uterus can serve as a surrogate for the dose absorbed by the embryo or fetus in medical radiation dosimetry. In addition to these assumptions, patient specific TCM can cause differences in the absorbed doses even when the model and the patient match roughly in size [14]. There are also differences between TCM techniques used by different vendors.…”

Section: Discussionmentioning

confidence: 99%

“…Some previous studies have concentrated on using MC simulations to determine fetal doses in radiological examinations [8][9][10][11][12][13]. The MC programs or codes used in these previous studies were SIERRA [8], WinODS [9], MCNPX [10,13], MCNP [11], ImpactMC [12] and EGSnrc [14]. In these studies, the stages of pregnancy ranged from early gestation (7 weeks) to late gestation (37 weeks), focusing usually on certain pregnancy stages.…”

Section: Introductionmentioning

confidence: 99%

“…A MC based method utilizing stylized mathematical phantoms to estimate the fetal dose in all stages of gestation and from any multi-detector CT examination of the trunk has also been developed [11]. Some of the very recent publications have concentrated on comparing different methods for estimating radiation dose to the conceptus [14] and comparing dosimetric and MC calculation results [15]. It has also been noticed that there is a lack of knowledge of fetal dosimetry in the imaging of pregnant women, which may lead to underestimation or overestimation of radiation dose and cancer risk [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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Fetal radiation dose in three common CT examinations during pregnancy – Monte Carlo study

et al. 2017

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The three studied examinations provided highly varying fetal doses increasing from sub-mGy level in pulmonary CT angiography to notably higher levels in abdomino-pelvic and trauma scans where the fetus is in the primary exposure range. Volumetric dose distribution offered by MC simulations in an appropriate anthropomorphic phantom provides a comprehensive dose assessment when applied in adjunct to point-dose measurements.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fetal radiation dose in three common CT examinations during pregnancy – Monte Carlo study

et al. 2017

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“…Different techniques have been adopted for estimating the conceptus dose in pregnant patients, including Monte Carlo calculations using dedicated computational anthropomorphic models [2,[13][14][15][16][17][18][19][20][21][22][23][24] and experimental measurements using physical phantoms [25][26][27][28]. However, these techniques naturally bear many limitations, including the difficulty of accurate modeling of individual patient's anatomy considering the location, shape and size of internal organs, and the uterus/fetus within the target region of the pregnant patient's body [29].…”

Section: Introductionmentioning

confidence: 99%

Estimation of the radiation dose in pregnancy: an automated patient-specific model using convolutional neural networks

Xie

Zaidi

2019

Eur Radiol

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Objectives The conceptus dose during diagnostic imaging procedures for pregnant patients raises health concerns owing to the high radiosensitivity of the developing embryo/fetus. The aim of this work is to develop a methodology for automated construction of patient-specific computational phantoms based on actual patient CT images to enable accurate estimation of conceptus dose. Methods We developed a 3D deep convolutional network algorithm for automated segmentation of CT images to build realistic computational phantoms. The neural network architecture consists of analysis and synthesis paths with four resolution levels each, trained on manually labeled CT scans of six identified anatomical structures. Thirty-two CT exams were augmented to 128 datasets and randomly split into 80%/20% for training/testing. The absorbed doses for six segmented organs/tissues from abdominal CT scans were estimated using Monte Carlo calculations. The resulting radiation doses were then compared between the computational models generated using automated segmentation and manual segmentation, serving as reference. Results The Dice similarity coefficient for identified internal organs between manual segmentation and automated segmentation results varies from 0.92 to 0.98 while the mean Hausdorff distance for the uterus is 16.1 mm. The mean absorbed dose for the uterus is 2.9 mGy whereas the mean organ dose differences between manual and automated segmentation techniques are 0.07%, − 0.45%, − 1.55%, − 0.48%, − 0.12%, and 0.28% for the kidney, liver, lung, skeleton, uterus, and total body, respectively. Conclusion The proposed methodology allows automated construction of realistic computational models that can be exploited to estimate patient-specific organ radiation doses from radiological imaging procedures. Key Points • The conceptus dose during diagnostic radiology and nuclear medicine imaging procedures for pregnant patients raises health concerns owing to the high radiosensitivity of the developing embryo/fetus. • The proposed methodology allows automated construction of realistic computational models that can be exploited to estimate patient-specific organ radiation doses from radiological imaging procedures. • The dosimetric results can be used for the risk-benefit analysis of radiation hazards to conceptus from diagnostic imaging procedures, thus guiding the decision-making process.

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Fighting the Gender Gap in Interventional Radiology: Facts and Fiction Relating to Radiation

Jaschke

Bartal

Trianni

et al. 2018

Cardiovasc Intervent Radiol

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Comparing different methods for estimating radiation dose to the conceptus

Abstract: • A patient's internal anatomy affects the dose to the conceptus. • Conceptus position has an influence on its dose estimation. • Patient anatomy and specific TCM must be considered for accurate conceptus dosimetry. • D to a standard-size phantom should not be used as D .

Cited by 11 publications

References 18 publications

Fetal radiation dose in three common CT examinations during pregnancy – Monte Carlo study

Fetal radiation dose in three common CT examinations during pregnancy – Monte Carlo study

Estimation of the radiation dose in pregnancy: an automated patient-specific model using convolutional neural networks

Fighting the Gender Gap in Interventional Radiology: Facts and Fiction Relating to Radiation

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