Background: Pregnant women experience several changes in their appearance, body shape and body image. In some studies, there has been a relationship between these changes and the type of delivery. This study aimed to investigate the relationship of the prenatal body image and genital image with the mode of delivery preferred by pregnant women in Gorgan in 2020.
Methods: In this cross-sectional study, 334 pregnant women were selected by stratified sampling. The Prenatal Body Image Questionnaire (PBIQ), Female Genital Self-Image Scale (FGSIS), pregnant women's preferences for mode of delivery questionnaire (PPMDQ) and DASS-21 were completed on line. The data was analyzed using Spearman test and linear regression.
Results: The average score of PBIQ, FGSIS, and PPMDQ was 68.24 (standard deviation = 17.71), 19.25 (standard deviation = 3.3), and 63.12 (standard deviation = 3.3) respectively. Vaginal delivery as a preferred mode of delivery was inversely correlated with dissatisfaction with body image (r=-0.32, P < 0.001), and directly correlated with satisfaction with the genital image (r = 0.19, P < 0.001). There was a significant inverse correlation between prenatal body image dissatisfaction and genital image satisfaction (r=-0.32, P < 0.001). While FGSIS score could not predict PPMDQ, PBIQ score could.
Conclusions: Satisfaction with the prenatal body image or genital image is associated with the choice of vaginal delivery. These results can be the basis for prenatal care and childbirth counselling.
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http://dx.doi.org/10.1186/s12884-023-05589-3 | DOI Listing |
Med Biol Eng Comput
January 2025
Faculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between image quality and radiation exposure is critical, as reducing the administered dose results in a lower signal-to-noise ratio (SNR) and information loss, which may significantly affect clinical diagnosis. Deep learning (DL) algorithms have recently made significant progress in low-dose (LD) PET reconstruction.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
Purpose: This retrospective analysis evaluates baseline F-flotufolastat positron emission tomography (PET) parameters as prognostic parameters for treatment response and outcome in patients with metastatic castration-resistant prostate cancer (mCRPC) undergoing treatment with [Lu]Lu-PSMA-I&T.
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J Funct Morphol Kinesiol
January 2025
Department of Physical Medicine and Rehabilitation, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan.
Pars fractures are a common cause of lower back pain, especially among young individuals. Although computed tomography (CT) and magnetic resonance imaging (MRI) scanning are commonly used in developed regions, traditional radiography remains the main diagnostic method in many developing countries. This study assessed whether the standard radiographic angles suggested in textbooks are optimal for an Asian population since Asian groups have lower lumbar lordosis.
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Front Robot AI
January 2025
Department of Materials and Production, Aalborg University, Aalborg, Denmark.
Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational resources. Many state-of-the-art methods for 6D pose estimation depend on deep neural networks, which are computationally demanding and require GPUs for real-time performance.
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