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http://dx.doi.org/10.1016/j.jacr.2022.11.004 | DOI Listing |
J Med Imaging Radiat Sci
September 2025
Department of Medical Imaging, University of Health and Allied Sciences, Ho, Ghana.
Introduction: Radiographers in low-resource settings like Ghana often operate in environments with limited access to radiologists, resulting in informal involvement in image interpretation tasks despite a lack of formal recognition or training. Preliminary Image Evaluation (PIE), where radiographers provide initial comments on X-ray images have been successfully implemented in other countries. This study explored the perspectives of Ghanaian radiographers on PIE involvement.
View Article and Find Full Text PDFESMO Open
September 2025
Department of Thoracic Surgery, Hôpital Marie Lannelongue, Le Plessis-Robinson, France.
Pancoast tumors are a distinct and rare subset of non-small-cell lung cancers (NSCLCs). Although a trimodality approach combining induction chemoradiotherapy followed by surgery has been the standard of care over the past two decades, only a limited number of patients are eligible for this intensive treatment in routine clinical practice. Moreover, surgical procedures for Pancoast tumors often require highly specialized thoracic surgery centers.
View Article and Find Full Text PDFNat Rev Clin Oncol
September 2025
The D-Lab, Department of Precision Medicine, GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands.
Radiomics is a tool for medical imaging analysis that could have a relevant role in precision oncology by offering precise quantitative support for clinical decision-making. The Radiomics Quality Score (RQS) is a tool developed to assess the rigour of radiomics studies that has now been widely adopted by researchers. Although RQS version 1.
View Article and Find Full Text PDFBMC Med Educ
August 2025
Department of Radiology, Bwari General Hospital, Bwari, Abuja, Nigeria.
Objectives: To survey the current state of cybersecurity awareness among radiography teachers in Africa, identify existing challenges, and propose targeted interventions to enhance cybersecurity education, practices, and resilience within the radiography education sector.
Methodology: This quantitative, cross-sectional study was conducted among radiography educators attending the Radiography Educators Conference of the International Society of Radiographers and Radiologic Technologists in Abuja, Nigeria. A purposive sampling technique was used to recruit 53 participants who completed a 30-item self-administered questionnaire distributed via Google Forms.
Korean J Radiol
September 2025
Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Objective: To develop a deep learning model for estimating newborn gestational age (GA) based on the shape of the lumbar vertebral bodies on cross-table lateral radiographs obtained on the first day after birth.
Materials And Methods: This retrospective study included 423 cross-table lateral radiographs of 423 newborns (242 boys and 181 girls) taken within 24 hours after birth at two hospitals. Of these, 256 radiographs (157 boys and 99 girls) obtained from one institution were used for model development, and 167 radiographs (85 boys and 82 girls) from the other institution were used for model external testing.