The number of patients undergoing diagnostic radiology and radiation therapy procedures has increased drastically owing to improvements in cancer diagnosis and treatment, and consequently, patient survival. However, the risk of secondary malignancies owing to radiation exposure remains a matter of concern. We previously published three hybrid computational fetal phantoms, which contained 27 fetal organs, as a starting point for developing the whole hybrid computational pregnant phantom set, which is the final objective of this study. An International Commission on Radiological Protection (ICRP) reference female voxel model was converted to a non-uniform rational B-spline (NURBS) surface model to construct a hybrid computational female phantom as a pregnant mother for each fetal model. Both fetal and maternal organs were matched with the ICRP- 89 reference data. To create a complete standard pregnant computational phantom set at 20, 30, and 35 weeks of pregnancy, the model mother's reproductive organs were removed, and fetal phantoms with appropriate placental and uterine models were added to the female pelvis using a 3D-modeling software. With the aid of radiological image sets that had originally been used to construct the fetal models, each fetal position and rotation inside the uterus were carefully adjusted to represent the real fetal locations inside the uterus. The major abdominal soft tissue organs below the diaphragm, namely the small intestine, large intestine, liver, gall bladder, stomach, pancreas, uterus, and urinary bladder, were removed from non-pregnant females. The resulting fetal phantom was positioned in the appropriate location, matching the original radiological image sets. An obstetrician-gynecologist reviewed the complete internal anatomy of all fetus phantoms and the pregnant women for accuracy, and suggested changes were implemented as needed. The remaining female anatomical tissues were reshaped and modified to accommodate the location of the fetus inside the uterus. This new series of hybrid computational pregnant phantom models provides realistic anatomical details that can be useful in evaluating fetal radiation doses in pregnant patients undergoing diagnostic imaging or radiotherapy procedures where realistic fetal computational human phantoms are required.
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http://dx.doi.org/10.1088/2057-1976/ac9414 | DOI Listing |
Zhong Nan Da Xue Xue Bao Yi Xue Ban
October 2024
Xiangya Stomatological Hospital and Xiangya School of Stomatology, Central South University; Hunan Engineering Research Center for Digital Intelligence and Personalized Medicine; Hunan 3D Printing Engineering Research Center of Oral Care, Changsha 410008.
Objectives: Maxillary transverse deficiency is a common malocclusion frequently observed in orthodontic clinics. Miniscrew-assisted rapid palatal expansion (MARPE) not only produces greater skeletal expansion but also offers advantages such as simple miniscrew implantation without flap elevation, enhanced patient comfort, and an expanded age range and indications for palatal expansion. However, the fixed connection between the expander and the miniscrews makes the expander difficult to remove, significantly hindering its clinical application.
View Article and Find Full Text PDFDiabetes Res Clin Pract
March 2025
Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, Alexandroupolis, Greece.
Diabetes mellitus (DM) may lead to microvascular and macrovascular complications. Screening for these complications is crucial and non-invasive methods with high-dissemination potential are needed. Diabetic peripheral neuropathy (DPN) is particularly challenging to screen due to the lack of reliable clinical markers and endpoints.
View Article and Find Full Text PDFBioinformatics
March 2025
Department of Computer Science, University of Turin, Torino, 10123, Italy.
Motivation: Computational models are crucial for addressing critical questions about systems evolution and deciphering system connections. The pivotal feature of making this concept recognisable from the biological and clinical community is the possibility of quickly inspecting the whole system, bearing in mind the different granularity levels of its components. This holistic view of system behaviour expands the evolution study by identifying the heterogeneous behaviours applicable, for example, to the cancer evolution study.
View Article and Find Full Text PDFJpn J Radiol
March 2025
Department of Radiology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Purpose: Myocardial computed tomography (CT) late enhancement (LE) allows assessment of myocardial scarring. Super-resolution deep learning image reconstruction (SR-DLR) trained on data acquired from ultra-high-resolution CT may improve image quality for CT-LE. Therefore, this study investigated image noise and image quality with SR-DLR compared with conventional DLR (C-DLR) and hybrid iterative reconstruction (hybrid IR).
View Article and Find Full Text PDFJ Med Virol
March 2025
Biosensors Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.
Human papillomavirus type 16 (HPV-16) is a key driver in the development of cervical carcinoma, with the integration of its genome into the host DNA marking a critical step in disease progression. Monitoring the physical state of HPV-16, particularly the transition from episomal to integrated forms, is essential for evaluating the risk of malignancy development in cervix. This study presents the development of a duplex electrochemical biosensor for the simultaneous detection of the E2 and E6 genes of HPV-16.
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