Background: Accurate estimation of fetal radiation dose is crucial for risk-benefit analysis of radiological imaging, while the radiation dosimetry studies based on individual pregnant patient are highly desired.
Purpose: To use Monte Carlo calculations for estimation of fetal radiation dose from abdominal and pelvic computed tomography (CT) examinations for a population of patients with a range of variations in patients' anatomy, abdominal circumference, gestational age (GA), fetal depth (FD), and fetal development.
Methods: Forty-four patient-specific pregnant female models were constructed based on CT imaging data of pregnant patients, with gestational ages ranging from 8 to 35 weeks. The simulation of abdominal and pelvic helical CT examinations was performed on three validated commercial scanner systems to calculate organ-level fetal radiation dose.
Results: The absorbed radiation dose to the fetus ranged between 0.97 and 2.24 mGy, with an average of 1.63 ± 0.33 mGy. The CTDI -normalized fetal dose ranged between 0.56 and 1.30, with an average of 0.94 ± 0.25. The normalized fetal organ dose showed significant correlations with gestational age, maternal abdominal circumference (MAC), and fetal depth. The use of ATCM technique increased the fetal radiation dose in some patients.
Conclusion: A technique enabling the calculation of organ-level radiation dose to the fetus was developed from models of actual anatomy representing a range of gestational age, maternal size, and fetal position. The developed maternal and fetal models provide a basis for reliable and accurate radiation dose estimation to fetal organs.
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http://dx.doi.org/10.1002/mp.16304 | DOI Listing |
In Vivo
December 2024
Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, Japan.
Background/aim: HyperArc (HA) is an automated planning technique enabling single-isocenter brain stereotactic radiotherapy (SRT); however, dosimetric outcomes may be influenced by the planner's expertise. This study aimed to assess the impact of institutional experience on the plan quality of HA-SRT for both single and multiple brain metastases.
Materials And Methods: Twenty patients who underwent HA-SRT for single metastasis between 2020 and 2021 comprised the earlier group, while those treated between 2022 and 2024 constituted the later group.
Anticancer Res
January 2025
Endocrinology, Clinical Sciences, Lund University Hospital, Lund University, Lund, Sweden.
Background/aim: An inverse association exists between type 2 diabetes mellitus (T2DM) and both plasma vitamin D levels and sun exposure, but vitamin D supplementation does not reduce the incidence. We sought to assess whether there is a dose-dependency in the association between sun exposure and T2DM.
Patients And Methods: The melanoma in Southern Sweden (MISS) cohort is comprised of one thousand women without cancer from age groups between 25 and 64, drawn from the Southern Swedish Population Registry of 1990 by random selection.
Anticancer Res
January 2025
Proton Medical Research Center, University of Tsukuba, Ibaraki, Japan.
Background/aim: This study aimed to predict the optimal timing for adaptive radiation therapy (ART) using two-dimensional X-ray image-based water equivalent thickness (2DWET).
Patients And Methods: Forty patients with oropharyngeal and hypopharyngeal cancer underwent Computed Tomography (CT) rescanning during treatment. An adaptive score (AS) was proposed to guide ART decisions based on changes in four dose indices: target coverage, spinal cord dose, parotid gland dose, and over-dose volume.
Biochem Biophys Res Commun
December 2024
Korea Radioisotope Center for Pharmaceuticals, Korea Institute of Radiological & Medical Sciences, Seoul, South Korea. Electronic address:
Radiation therapy is crucial for cancer treatment, but it often causes tissue damage. The kidney, which is sensitive to radiation, is under-researched in this context. This study aimed to develop a mouse model for radiation-induced acute kidney injury (AKI) using a small animal radiation research platform (SARRP) to mimic clinical radiation conditions.
View Article and Find Full Text PDFJ Med Imaging Radiat Sci
December 2024
Department of Radiotherapy, Instituto Brasileiro de Controle do Câncer (IBCC), Avenida Alcântara Machado, 2576, Mooca, 03102-002 São Paulo, SP, Brazil; Department of Radiotherapy, Instituto de Radiologia do Hospital das Clínicas - HCFMUSP (InRad), Hospital das Clínicas, University of São Paulo, Rua Doutor Ovídio Pires de Campos, 75, Portaria 1, Cerqueira César, 05403-010 São Paulo, SP, Brazil.
Purpose: Radiotherapy is a crucial part of breast cancer treatment. Precision in dose assessment is essential to minimize side effects. Traditionally, anatomical structures are delineated manually, a time-consuming process subject to variability.
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