Objectives: To explore if the perception of radiologists and radiographers on referral practice differs from that of referring clinicians, and to see if knowledge of radiation issues and referral guidelines differ between these groups.
Methods: A questionnaire was handed out to 46 radiologists and 36 radiographers in Norway. Findings were compared to corresponding results from a similar already published study on clinicians. Questions dealt with referrals unlikely to affect treatment as well as respondents' radiation and referral guideline knowledge.
Results: Radiographers estimated the highest proportion of referrals most unlikely to affect treatment (median 20 %) in comparison to radiologists (10 %) and clinicians (5 %). Lack of time, compensating for limited clinical examination and patient expectations were rated as more important reasons for such referrals by radiologists than by clinicians. Radiologists and radiographers possessed significantly better radiation knowledge than clinicians, and were more familiar with referral guidelines.
Conclusions: The perception of radiologists and radiographers differs from that of clinicians, concerning the use of imaging most unlikely to affect treatment, and the reasons for such referrals. Radiologists and radiographers possess better radiation knowledge than referring clinicians, but all groups have a potential in improving their radiation protection knowledge.
Main Messages: • Radiographers estimated the highest proportion of referrals most unlikely to affect treatment. • Radiologists rated "getting the patient discharged" as an important reason for such referrals. • Radiologists and radiographers possess significantly better radiation knowledge than clinicians.
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http://dx.doi.org/10.1007/s13244-014-0348-y | DOI Listing |
J Imaging
January 2025
Department of Food Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
Pneumonia, a leading cause of mortality in children under five, is usually diagnosed through chest X-ray (CXR) images due to its efficiency and cost-effectiveness. However, the shortage of radiologists in the Least Developed Countries (LDCs) emphasizes the need for automated pneumonia diagnostic systems. This article presents a Deep Learning model, Zero-Order Optimized Convolutional Neural Network (ZooCNN), a Zero-Order Optimization (Zoo)-based CNN model for classifying CXR images into three classes, Normal Lungs (NL), Bacterial Pneumonia (BP), and Viral Pneumonia (VP); this model utilizes the Adaptive Synthetic Sampling (ADASYN) approach to ensure class balance in the Kaggle CXR Images (Pneumonia) dataset.
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FIND, Geneva, Switzerland.
AI based software, including computer aided detection software for chest radiographs (CXR-CAD), was developed during the pandemic to improve COVID-19 case finding and triage. In high burden TB countries, the use of highly portable CXR and computer aided detection software has been adopted more broadly to improve the screening and triage of individuals for TB, but there is little evidence in these settings regarding COVID-19 CAD performance. We performed a multicenter, retrospective cross-over study evaluating CXRs from individuals at risk for COVID-19.
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February 2025
From the Department of Radiology, Nihon University School of Dentistry at Matsudo, 2-870-1 Sakaecho-Nishi, Matsudo, Chiba 271-8587, Japan (K.I., K.O., T.K.); Department of Diagnostic Radiology, National Cancer Center Hospital East, Chiba, Japan (H.K.); Department of Radiology, VA Boston Health Care System, Boston, Mass (V.C.A.A.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (O.S.).
Various new dental treatment methods have been introduced in dental clinics, and many new materials have been used in recent years for dental treatments. Dentistry is divided into several specialties, each offering unique treatments, such as endodontics, implantology, oral surgery, and orthodontics. CT and MR images after dental treatment reveal a variety of hard- and soft-tissue changes and dental materials, which often cause image artifacts.
View Article and Find Full Text PDFRadiographics
February 2025
From the Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215.
Nonpregnant and pregnant women who present with acute pelvic pain can pose a diagnostic challenge in the emergency setting. The clinical presentation is often nonspecific, and the differential diagnosis may be very broad. These symptoms are often indications for pelvic US, which is the primary imaging modality when an obstetric or gynecologic cause is suspected.
View Article and Find Full Text PDFJ 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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