Citas bibligráficas
Anticona, M., Rodriguez, F. (2025). Comparación en la interpretación de tomografía computarizada cerebral sin contraste de casos confirmados de accidentes cerebrovasculares entre estudiantes de medicina de séptimo año de una universidad privada de Lima, Perú y radiólogos [Universidad Peruana Cayetano Heredia]. https://hdl.handle.net/20.500.12866/16585
Anticona, M., Rodriguez, F. Comparación en la interpretación de tomografía computarizada cerebral sin contraste de casos confirmados de accidentes cerebrovasculares entre estudiantes de medicina de séptimo año de una universidad privada de Lima, Perú y radiólogos []. PE: Universidad Peruana Cayetano Heredia; 2025. https://hdl.handle.net/20.500.12866/16585
@misc{renati/1281979,
title = "Comparación en la interpretación de tomografía computarizada cerebral sin contraste de casos confirmados de accidentes cerebrovasculares entre estudiantes de medicina de séptimo año de una universidad privada de Lima, Perú y radiólogos",
author = "Rodriguez Castro, Fabio Sebastian",
publisher = "Universidad Peruana Cayetano Heredia",
year = "2025"
}
Introduction: The interpretation of brain computed tomography scans is crucial for the timely diagnosis of neurological emergencies, such as cerebrovascular accidents (CVA), one of the main causes of morbimortality in Peru and the world. However, factors such as limited undergraduate training in radiology and neuroimaging, combined with the “neurophobia” perceived by medical students, affect diagnostic accuracy. Several studies show discrepancy between the ability to interpret neuroimaging between non-radiologists and specialist radiologists. At present, there are no studies comparing neuroimaging interpretation in final year medical students. Objective: The aim of this study was to determine the percentage of concordance in the interpretation of non-contrast brain tomography scans of confirmed stroke cases between seventh year medical students of a private university in Lima and specialist radiologists. Materials and methods: An observational, descriptive, cross-sectional study will be carried out; a form will be used to collect information from patients with a confirmed diagnosis of stroke and will be sent to seventh year medical students. The data will be collected using the Google Forms platform and will be transferred to Microsoft Excel version 2019 and then analyzed statistically with the program. Conclusions: If the study is carried out, it may identify gaps in neuroimaging training, highlighting the need to strengthen early stroke diagnosis and improve neurology education.
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