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DOI 10.3390/tomography12040057

Медицинская библиотека · Tomography (Ann Arbor, Mich.) · 2026

Acute Traumatic Aortic Injury: What the Radiologist Needs to Know.

Ramirez-Garcia Kristina, Jaramillo Catalina, Ferguson Emma, Au Jason, Odisio Erika, Oderich Gustavo S, Ocazionez Daniel, Duran Cihan, Macedo Thanila

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Аннотация

Acute traumatic aortic injury (ATAI) is a rare but life-threatening consequence of blunt trauma that requires prompt diagnosis and accurate imaging assessment. This review presents an imaging-based approach to ATAI, with emphasis on computed tomography angiography (CTA) as the first-line modality for diagnosis, grading, treatment planning, and follow-up. CTA enables the detection of both direct and indirect signs while also allowing for the assessment of lesion severity, extent, and associated findings that may influence management. Familiarity with common mimics and anatomic variants improves diagnostic confidence and helps avoid false positive interpretations. Careful protocol optimization, including multiphasic acquisition, bolus timing, and postprocessing reconstructions, can further enhance image quality and diagnostic performance. Recognition of patient-related and technical CTA artifacts, along with strategies to reduce them, including the selective use of ECG-gated CTA, may further decrease diagnostic uncertainty. We also discuss the complementary roles of emerging CT technologies and magnetic resonance angiography in selected patients. Finally, we review current classification systems, imaging-guided management, post-treatment surveillance, and potential complications. Awareness of ATAI imaging findings, protocol optimization, and diagnostic pitfalls is essential for accurate interpretation and effective multidisciplinary care.

Для цитирования: Ramirez-Garcia Kristina, Jaramillo Catalina, Ferguson Emma, Au Jason, Odisio Erika, Oderich Gustavo S, Ocazionez Daniel, Duran Cihan, Macedo Thanila. Acute Traumatic Aortic Injury: What the Radiologist Needs to Know.. Tomography (Ann Arbor, Mich.). 2026. DOI: 10.3390/tomography12040057.

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