Background: Anatomy educators are increasing their utilisation of radiology in anatomy education in line with growing requirements for undergraduate radiology competency and clinical need.
Aims: We aimed to evaluate student perceptions of radiology and to outline the technical and academic considerations underlying the integration of radiology into musculoskeletal practical anatomy sessions.
Materials And Methods: The formal integration of radiology into anatomy practical sessions took place over a 5-week period during the lower limb musculoskeletal component of the anatomy course taught to first-year medical students. During practical sessions, students were required to rotate between aligned audio-visual radiology presentations, osteology/anatomical models, and prosection/dissection learning stations. After completing the course, students were invited to complete a survey to establish their opinions on radiology as a mode of learning and their satisfaction with radiological integration in anatomical practical sessions.
Results: Most students were not familiar with radiology prior to attending our university. All our students agreed or strongly agreed that learning to read radiographs in anatomy is important and most agreed that radiology is a valid assessment tool. Sixty percent stated that radiology facilitated their understanding of anatomy. The majority believed that radiology was best suited to clinically relevant anatomy and X-rays were their preferred learning tool.
Conclusions: The practical approach to integrating radiology into undergraduate musculoskeletal anatomy described here did not place strain on existing academic resources. Most students agreed that radiology should be increased in anatomy education and that learning to understand radiographs in anatomy was important for clinical practice.
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http://dx.doi.org/10.1007/s11845-016-1487-6 | DOI Listing |
Biomed Phys Eng Express
January 2025
Radiation Oncology, Emory University, Emory Midtown Hospital, Atlanta, Georgia, 30322, UNITED STATES.
Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Cancer Screening, American Cancer Society, Atlanta, GA, United States.
Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.
Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.
Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.
N Engl J Med
January 2025
From the Departments of Medicine (D.R.) and Radiology (S.S.), Massachusetts General Hospital, the Departments of Medicine (D.R., S.D., J.A.S.) and Radiology (S.S.), Harvard Medical School, and the Department of Medicine, Brigham and Women's Hospital (S.D., J.A.S.) - all in Boston.
JCO Clin Cancer Inform
January 2025
Department of Radiology, Dr BRAIRCH, All India Institute of Medical Sciences, New Delhi, India.
Purpose: To explore the perceived utility and effect of simplified radiology reports on oncology patients' knowledge and feasibility of large language models (LLMs) to generate such reports.
Materials And Methods: This study was approved by the Institute Ethics Committee. In phase I, five state-of-the-art LLMs (Generative Pre-Trained Transformer-4o [GPT-4o], Google Gemini, Claude Opus, Llama-3.
Neurol Neuroimmunol Neuroinflamm
March 2025
Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Background And Objectives: Invasive procedures may delay the diagnostic process in multiple sclerosis (MS). We investigated the added value of serum neurofilament light chain (sNfL), glial fibrillary acidic protein (sGFAP), chitinase-3-like 1 (sCHI3L1), and the immune responses to the Epstein-Barr virus-encoded nuclear antigen 1 to current MS diagnostic criteria.
Methods: In this multicentric study, we selected patients from 2 prospective cohorts presenting a clinically isolated syndrome (CIS).
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