Literature DB >> 17500480

Manual planimetric measurement of carotid plaque volume using three-dimensional ultrasound imaging.

Anthony Landry1, Craig Ainsworth, Chris Blake, J David Spence, Aaron Fenster.   

Abstract

We investigated the utility of three manual planimetric methods to quantify carotid plaque volume. A single observer measured 15 individual plaques from 15 three-dimensional (3D) ultrasound (3D US) images of patients ten times each using three different planimetric approaches. Individual plaque volumes were measured (range: 32.6-597.1 mm3) using a standard planimetric approach (M1) whereby a plaque end was identified and sequential contours were measured. The same plaques were measured using a second approach (M2), whereby plaque ends were first identified and the 3D US image of the plaque was then subdivided into equal intervals. A third method (M3) was used to measure total plaque burden (range: 165.1-1080.0 mm3) in a region (+/- 1.5 cm) relative to the carotid bifurcation. M1 systematically underestimated individual plaque volume compared to M2 (V2 = V1 + 14.0 mm3, r = 0.99, p = 0.006) due to a difference in the mean plaque length measured. Coefficients of variance (CV) for M1 and M2 decrease with increasing plaque volume, with M2 results less than M1. Root mean square difference between experimental and theoretical CV for M2 was 3.2%. The standard deviation in the identification of the transverse location of the carotid bifurcation was 0.56 mm. CVs for plaque burden measured using M3 ranged from 1.2% to 7.6% and were less than CVs determined for individual plaque volumes of the same volume. The utility of M3 was demonstrated by measuring carotid plaque burden and volume change over a period of 3 months in three patients. In conclusion, M2 was determined to be a more superior measurement technique than M1 to measure individual plaque volume. Furthermore, we demonstrated the utility of M3 to quantify regional plaque burden and to quantify change in plaque volume.

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Year:  2007        PMID: 17500480     DOI: 10.1118/1.2715487

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  2 in total

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Authors:  B A Standish; J Spears; T R Marotta; W Montanera; V X D Yang
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-08       Impact factor: 3.825

2.  Direct Diagnosis is Superior to Risk Factor Prediction Tools for Management of Vessel Wall Disease.

Authors:  Afshin A Divani; Andreas R Luft; James D Flaherty; Gundu H R Rao
Journal:  Front Neurol       Date:  2012-03-13       Impact factor: 4.003

  2 in total

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