Accuracy of CT angiography in the assessment of the circle of Willis: Comparison of volume-rendered images and digital subtraction angiography

  • Ari Han
  • , Dae Young Yoon
  • , Suk Ki Chang
  • , Kyoung Ja Lim
  • , Byung Moon Cho
  • , Yoon Cheol Shin
  • , Sam Soo Kim
  • , Keon Ha Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Computed tomography angiography (CTA) is increasingly used for non-invasive imaging of the cerebrovascular diseases. Purpose: To evaluate the accuracy of CTA in the assessment of the variation of the segment calibers of the circle of Willis. Material and Methods: One hundred and 17 patients with acute SAH (51 men and 66 women, mean age 50.9 years) who underwent CTA using a 16 detector-row CT scanner and DSA were evaluated retrospectively. The CTA and DSA studies were performed within 24 h after the onset of symptoms and within 24 h of each other. A total of 819 arterial segments (A-comA, right and left A1 segment, right and left P-com A, and right and left P1 segment) of the circle of Willis were determined to be aplastic (grade 1), hypoplastic (grade 2), or normal-sized (grade 3) by blinded observers evaluating CTA volume-rendered images. The CTA results were then compared with findings on the corresponding DSA images (reference standard). Results: The overall agreement between CTA and DSA was 92.4%. We had 62 (7.6%) cases of disagreement (58 cases of under-estimation and four cases of over-estimation by CTA) between tow modalities. The sensitivity and specificity of CTA in the detection of aplastic and normal-sized segments were more than 90%. In contrast, subgroup analysis of the hypoplastic segments showed a sensitivity of 52.6% and a specificity of 98.2%. Conclusion: CTA is highly accurate in the assessment of anatomical variations of the circle of Willis; however, its sensitivity is limited in depicting hypoplastic segments.

Original languageEnglish
Pages (from-to)889-893
Number of pages5
JournalActa Radiologica
Volume52
Issue number8
DOIs
StatePublished - Oct 2011
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Anatomic variation
  • Brain
  • Circle of Willis
  • CT angiography
  • Digital subtraction angiography
  • Vascular

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