Raquelle El Alam

Dr. Raquelle El Alam


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 September 2024 in European Journal of Radiology
Verified
Journal Article
Closed access
YGYoussef Ghosn
Youssef Ghosn
RARaquelle El Alam
Raquelle El Alam
TATamara El Annan
Tamara El Annan
GHGaelle Haddad
Gaelle Haddad
MKMihran Khdhir
Mihran Khdhir
RKRiad Khouzami
Riad Khouzami

7 October 2025 in Diagnostics
Verified
Journal Article
Open access
PDF file
YJYara Jabbour
Yara Jabbour
RARaquelle El Alam
Raquelle El Alam
SASara Amro
Sara Amro
MKMutaz Kassas
Mutaz Kassas
YGYoussef Ghosn
Youssef Ghosn
LNLara Nassar
Lara Nassar
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.