Flat Panel Volume Computed Tomography of the Coronary Arteries

Friedrich D Knollmann, Annika Wieltsch, Simone Peters, Anika Mahlke, Susanne Niederberger, Tereza Kertesz

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Rationale and Objectives: Multidetector-row computed tomography (MDCT) has evolved into a sensitive diagnostic tool for the noninvasive detection of coronary artery stenosis, but remains limited by spatial resolution. Flat panel volume computed tomography (fpVCT) offers a higher spatial resolution. In a postmortem investigation of autopsy specimens, the accuracies of fpVCT for measuring the severity of coronary artery stenosis and the size of atherosclerotic plaque components were determined. Methods and Materials: In 25 autopsy cases, hearts were isolated, the left anterior descending coronary arteries filled with contrast agent, and depicted with a prototype fpVCT unit with a slice thickness of 0.25 mm. Transections of the left anterior descending coronary arteries were reconstructed and compared with histopathologic sections using light microscopy. Results: FpVCT measurements of luminal stenosis (r = 0.81), total plaque area (r = 0.88), calcified plaque area (r = 0.92), noncalcified plaque area (r = 0.83), and lipid core size (r = 0.67; P < .02) correlated well with histopathology (P < .0001). The limits of agreement for measuring any plaque component were three times smaller than those reported for MDCT. Conclusions: Postmortem coronary fpVCT provides an accurate and reproducible method for the quantitative assessment of both luminal stenosis and atherosclerotic plaque size. Because of its high spatial resolution, the method should be sufficiently accurate to reliably detect the lipid pools of vulnerable plaques.

Original languageEnglish (US)
Pages (from-to)1251-1262
Number of pages12
JournalAcademic Radiology
Issue number10
StatePublished - Oct 2009
Externally publishedYes


  • atherosclerosis
  • Computed tomography
  • coronary arteries

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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