Aims: To investigate how diagnostic radiology on-call work is conducted by trainees out of hours, and to explore how this on-call experience may be improved from a trainee perspective.
Materials And Methods: A nationwide online questionnaire was distributed to each radiology training scheme. A trainee on the diagnostic on-call rota completed the questionnaire on behalf of the scheme. Twenty-six questions spanning four domains were assessed exploring how radiology service provision is performed by trainees out of hours, and ways to improve it.
Results: Forty schemes responded, representing the entire population size. Twenty-eight (70%) schemes formally assessed trainees prior to joining the on-call rota. Almost half (46%) of trainees start verifying reports independently at ST2. The most common combinations of imaging performed out of hours accounting for 32% each were: (1) computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and radiography; and (2) CT, ultrasound and radiography. A majority of schemes (54%) had a fixed number of trainees across all shift types.
Conclusion: Radiology on-call provision by trainees varies considerably. Common factors between schemes include all trainees providing an on-call service on weekend day shifts. The most sought-after recommendation to improve the on-call experience was to introduce a collaborative reporting on-call hub set-up where trainees cross-cover multiple sites remotely as a team. Further analytical studies are needed to assess if any relationships between on-call set-up and trainee satisfaction exist.
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http://dx.doi.org/10.1016/j.crad.2021.08.009 | DOI Listing |
Support Care Cancer
November 2024
Division of Pediatric Oncology, Department of Pediatrics, All India Institute of Medical Sciences, Room 807, A Wing, 8th Floor, Mother and Child Building, New Delhi, 110029, India.
Purpose: Sarcopenic obesity, characterized by increased adiposity with low skeletal muscle mass, contributes to frailty and the development of chronic disease. Data on sarcopenic obesity in survivors of childhood acute lymphoblastic leukemia (cALL) is limited.
Methodology: A cross-sectional study on 65 cALL survivors (7-18 years, > 2 years from treatment completion) was conducted on cALL survivors with the primary outcome to determine the prevalence of sarcopenic obesity.
Cureus
October 2024
Radiodiagnosis, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth (Deemed to be University), Pondicherry, IND.
Introduction: In modern healthcare, computed tomography (CT) is essential for diagnosing a wide range of medical conditions, particularly in emergency settings where timely evaluation of critical areas such as the brain, thorax, abdomen, and pelvis is crucial. However, the increasing reliance on provisional reports generated by postgraduates during on-call hours introduces challenges, as discrepancies often arise between these initial reports and final assessments by senior radiologists. These discrepancies can affect patient outcomes, particularly in complex cases, underscoring the need for studies that evaluate the patterns and clinical relevance of discrepancies across multiple CT modalities.
View Article and Find Full Text PDFPLoS One
November 2024
Department of Interventional Radiology, School of Medicine, University Hospital Klinikum Rechts der Isar, Technical University of Munich, München, Germany.
Background: Research of interventional treatment success in arterial bleeding cases is almost exclusively focused on technical and procedural factors. This study investigates the effect of an improved preprocedural activation algorithm for acute arterial bleedings treated by interventional radiology.
Methods: During the three-year study period (2018-2021), the authors implemented an always-reachable, simple-to-remember emergency phone number routed to the responsible interventional radiologist on call and compared this pathway to the previous activation process.
J Neuroradiol
November 2024
Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, M-396, San Francisco, CA 94143, USA; Department of Radiology, Division of Neuroradiology, Duke University Medical Center, Box 3808 DUMC Durham, NC 27710, USA; Duke Center for Artificial Intelligence in Radiology (DAIR), Duke University Medical Center, Durham, NC 27710, USA; Center for Intelligent Imaging (Ci2), University of California San Francisco, San Francisco, CA 94143, USA.
Purpose: Timely identification of intracranial blood products is clinically impactful, however the detection of subdural hematoma (SDH) on non-contrast CT scans of the head (NCCTH) is challenging given interference from the adjacent calvarium. This work explores the utility of a NCCTH bone removal algorithm for improving SDH detection.
Methods: A deep learning segmentation algorithm was designed/trained for bone removal using 100 NCCTH.
Insights Imaging
November 2024
Radiology, Multizonal Unit of Rovereto and Arco, APSS Provincia Autonoma Di Trento, Trento, Italy.
Objectives: To test the Reason for Exam Imaging Reporting and Data System (RI-RADS) in assessing the quality of radiology requests in an Italian cohort of inpatients; to evaluate the interobserver reliability of RI-RADS.
Methods: A single-center quality care study was designed to retrospectively identify consecutive radiology request forms for computed tomography, magnetic resonance imaging, and conventional radiography examinations. One radiologist scored the requests using the RI-RADS.
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