Vessel density ratio: A novel approach to identify "culprit" coronary lesion by spiral computed tomography

Bernard Sze Piaw Chin, Tiong Kiam Ong, Tobias M. Seyfarth, Chee Khoon Liew, Wei Ling Chan, Annuar Rapaee, Houng Bang Liew, Choon Kiat Ang, Kui Hian Sim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

BACKGROUND AND OBJECTIVE: We hypothesized that a "culprit" lesion in acute coronary syndrome (ACS) should have low overall vessel lumen and plaque density on multidetector computed tomography-assisted coronary angiography (MDCTA) because of lower calcification and the presence of occlusive thrombus. However, thrombi and calcification both can themselves blur the demarcation between vessel wall and lumen. If we calculated a "vessel density ratio" (VDR) obtained by measuring the mean density of contrast-enhancement within a region of interest (ROI), which includes the vessel wall, lumen, plaque, and thrombus, and comparing that with the aortic root mean density acting as a reference point, this ratio may be more convenient, standardized, and reproducible to test the feasibility of VDR in identifying "culprit" lesions in ACS. METHODS: Sixty-four patients-21 exertional angina; 17 unstable angina/non-ST elevation myocardial infarction (NSTEMI); 26 ST elevation myocardial infarction (STEMI)-provided 188 diseased segments on conventional angiography. All underwent MDCTA within a week of angiography. ROI was mapped out from maximum intensity projections of diseased segments in planar view. RESULTS: One hundred seventy-four segments were evaluated. Patients who presented with ACS (STEMI and unstable angina/non-ST elevation myocardial infarction) had lower mean VDR compared to patients with exertional angina (0.58 vs. 0.66 vs. 0.81; P < 0.001). Culprit lesions in ACS patients also had the lowest mean VDR when compared to nonculprit lesions and lesions in patients without ACS (0.51 vs. 0.68 vs. 0.81; P < 0.001). CONCLUSIONS: VDR is a new, convenient, and standardized approach in identifying "culprit" lesions by MDCTA.

Original languageEnglish
Pages (from-to)564-568
Number of pages5
JournalJournal of Computer Assisted Tomography
Volume30
Issue number4
DOIs
StatePublished - 2006
Externally publishedYes

Keywords

  • Acute corony syndrome
  • Computed tomography
  • Culprit lesion

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