Cosmic Signs in Radiology: A Pictorial Review.

IF 3.3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Yara Jabbour, Raquelle El Alam, Sara Amro, Mutaz Kassas, Youssef Ghosn, Reve Chahine, Mihran Khdhir, Lara Nassar
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引用次数: 0

Abstract

Pattern recognition remains a cornerstone of radiologic interpretation, as it facilitates a confident and comprehensive differential diagnosis. Certain pathologies present with specific and highly recognizable patterns on imaging modalities. These patterns can resemble familiar real-life phenomena, including cosmic bodies that surround us. We present in this article a compilation of radiologic signs across various modalities that take inspiration from cosmic phenomena. For each sign, we summarize its defining imaging appearance, typical clinical context, and common pitfalls; where available, we note diagnostic performance (e.g., sensitivity/specificity) to guide appropriate weighting in practice. By coupling memorable imagery with succinct clinical guidance, this pictorial review aims to support a faster, more accurate pattern recognition that is applicable in both low-resource and tertiary care settings, while recognizing that these signs function as educational aids rather than validated diagnostic tests. In familiarizing themselves with these classic signs, training radiologists can benefit from an engaging and memorable way of recognizing various pathological conditions.

放射学中的宇宙标志:一份画报评论。
模式识别仍然是放射学解释的基石,因为它有助于自信和全面的鉴别诊断。某些病理表现出特定的、高度可识别的成像模式。这些模式可能类似于我们熟悉的现实生活现象,包括我们周围的宇宙物体。我们在这篇文章中介绍了从宇宙现象中获得灵感的各种形式的放射学迹象的汇编。对于每个征象,我们总结了其定义的影像学表现、典型的临床背景和常见的陷阱;在可行的情况下,我们会注意诊断性能(例如,敏感性/特异性),以指导实践中适当的权重。通过将令人难忘的图像与简洁的临床指导相结合,本图片综述旨在支持更快、更准确的模式识别,适用于低资源和三级医疗机构,同时认识到这些标志的作用是教育辅助,而不是有效的诊断测试。在熟悉这些经典症状的过程中,培训放射科医生可以从一种识别各种病理状况的引人入胜和令人难忘的方式中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Diagnostics
Diagnostics Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
4.70
自引率
8.30%
发文量
2699
审稿时长
19.64 days
期刊介绍: Diagnostics (ISSN 2075-4418) is an international scholarly open access journal on medical diagnostics. It publishes original research articles, reviews, communications and short notes on the research and development of medical diagnostics. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodological details must be provided for research articles.
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