Literature DB >> 19638840

Accuracy of noninvasive coronary stenosis quantification of different commercially available dedicated software packages.

Riksta Dikkers1, Tineke P Willems, Gonda J de Jonge, Henk A Marquering, Marcel J W Greuter, Peter M A van Ooijen, Marijke C Jansen van der Weide, Matthijs Oudkerk.   

Abstract

PURPOSE: The purpose of this study was to investigate the noninvasive quantification of coronary artery stenosis using cardiac software packages and vessel phantoms with known stenosis severity.
MATERIALS AND METHODS: Four different sizes of vessel phantoms were filled with contrast agent and scanned on a 64-slice multidetector computed tomography. Diameter and area stenosis were evaluated by 2 observers blinded from the true measures using 5 different software packages. Measurements were compared with the true measure of the vessel phantoms. The absolute difference in stenosis measurements and intraobserver and interobserver variabilities were assessed.
RESULTS: All software packages show a trend toward larger differences for the smaller vessel phantoms. The absolute difference of the automatic measurements was significantly higher compared with that of the manual measurements in all 5 evaluated software packages for all vessel phantoms (P < 0.05).
CONCLUSION: Manual stenosis measurements are significantly more accurate compared with automatic measurements, and therefore, manual adjustments are still essential for noninvasive assessment of coronary artery stenosis.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19638840     DOI: 10.1097/RCT.0b013e3181888363

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  1 in total

1.  Making the PACS workstation a browser of image processing software: a feasibility study using inter-process communication techniques.

Authors:  Chunliang Wang; Felix Ritter; Orjan Smedby
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-07       Impact factor: 2.924

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.