Nontraumatic Subclavian Artery Abnormalities: Spectrum of MDCT Findings

Christopher Scott Jones1, Franco Verde1, Pamela T Johnson2

  • 11 Department of Imaging, Johns Hopkins Bayview Medical Center, 4940 Eastern Ave, Pavilion Bldg, 1st Fl, Baltimore, MD 21224.

Insights

Multidetector CT angiography effectively diagnoses subclavian artery (SCA) diseases, from atherosclerosis to emergencies like aortic dissection. Optimizing CT protocols and interpretation techniques enhances diagnostic accuracy for these critical vascular conditions.

Area of Science:

  • Vascular Surgery
  • Radiology
  • Cardiovascular Imaging

Background:

  • Subclavian arteries (SCAs) are susceptible to diverse nontraumatic pathologies.
  • These conditions range from common atherosclerosis to life-threatening emergencies like type A aortic dissection and acute arterial thrombosis.
  • These vascular emergencies are associated with significant morbidity and mortality.

Purpose of the Study:

  • To highlight the diagnostic utility of Multidetector CT (MDCT) angiography for evaluating subclavian artery (SCA) pathologies.
  • To emphasize the importance of advanced imaging techniques in diagnosing complex SCA conditions.

Main Methods:

  • MDCT angiography was utilized as the primary imaging modality.
  • The study focused on the spectrum of nontraumatic pathologic conditions affecting the SCAs.
  • Diagnostic accuracy was assessed based on imaging findings.

Main Results:

  • MDCT angiography demonstrated excellent capability in diagnosing a wide array of SCA pathologies.
  • The modality effectively identified both common atherosclerotic disease and emergent conditions like aortic dissection and thrombosis.
  • The findings underscore the value of MDCT in the comprehensive evaluation of the SCAs.

Conclusions:

  • MDCT angiography is a crucial tool for diagnosing diverse subclavian artery diseases.
  • Optimizing CT acquisition protocols is essential for accurate diagnosis.
  • Interactive interpretation using 2D multiplanar reformatting and 3D rendering techniques significantly improves diagnostic accuracy.
Abstract

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