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Ultrasonographic risk score of carotid plaques

Pedro, L M; Fernandes e Fernandes, J; Pedro, M M; Goncalves, I; Dias, Nuno LU ; Fernandes e Fernandes, R; Carneiro, T F and Balsinha, C (2002) In European Journal of Vascular and Endovascular Surgery 24(6). p.492-498
Abstract
OBJECTIVE: to determine the relative significance of ultrasonographic parameters of carotid plaques to develop an Activity Index (AI) which could correlate with clinical findings. METHOD: two hundred and fifteen plaques in 141 patients underwent ultrasonography and computer-assisted structural analysis. In half the patients (group 1), plaques were classified as either homogeneous and heterogeneous and ultrasonographic appearances related symptomatic (SP) or asymptomatic (AP) station. The probability of SP for each ultrasound parameter was used to define an Activity Index (AI). The AI was then applied the second half of patients (Group 2) to assess the value of AI in determining symptomatic station. RESULTS: the parameters with highest... (More)
OBJECTIVE: to determine the relative significance of ultrasonographic parameters of carotid plaques to develop an Activity Index (AI) which could correlate with clinical findings. METHOD: two hundred and fifteen plaques in 141 patients underwent ultrasonography and computer-assisted structural analysis. In half the patients (group 1), plaques were classified as either homogeneous and heterogeneous and ultrasonographic appearances related symptomatic (SP) or asymptomatic (AP) station. The probability of SP for each ultrasound parameter was used to define an Activity Index (AI). The AI was then applied the second half of patients (Group 2) to assess the value of AI in determining symptomatic station. RESULTS: the parameters with highest morbility were surface disruption, severe stenosis and low grey scale median and, additionally in heterogenous plaques heterogeneity and the presence of a juxta-luminal echolucent area. The power in group 2 of AI to identify symptomatic plaques was determined. Mean AI was for SP-75 (41-100) and for AP-43 (22-100); 78% of SP have AI>60 and 70% of AP have AI<50. The cut-off point between the two groups was 52. ROC curve analysis of the AI were obtained to determine its diagnostic accuracy. CONCLUSION: Activity Index is an objective parameter of plaque echostructure that positively correlates with symptoms. AI may contribute to better selection for treatment of patients with carotid artery disease. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
in
European Journal of Vascular and Endovascular Surgery
volume
24
issue
6
pages
492 - 498
publisher
Elsevier
external identifiers
  • pmid:12443743
  • scopus:0036884691
ISSN
1532-2165
DOI
10.1053/ejvs.2002.1766
language
English
LU publication?
no
id
8e4a41f2-d505-4170-88f0-e5b728933d0e (old id 1125360)
date added to LUP
2008-05-29 08:47:44
date last changed
2017-01-01 07:11:27
@article{8e4a41f2-d505-4170-88f0-e5b728933d0e,
  abstract     = {OBJECTIVE: to determine the relative significance of ultrasonographic parameters of carotid plaques to develop an Activity Index (AI) which could correlate with clinical findings. METHOD: two hundred and fifteen plaques in 141 patients underwent ultrasonography and computer-assisted structural analysis. In half the patients (group 1), plaques were classified as either homogeneous and heterogeneous and ultrasonographic appearances related symptomatic (SP) or asymptomatic (AP) station. The probability of SP for each ultrasound parameter was used to define an Activity Index (AI). The AI was then applied the second half of patients (Group 2) to assess the value of AI in determining symptomatic station. RESULTS: the parameters with highest morbility were surface disruption, severe stenosis and low grey scale median and, additionally in heterogenous plaques heterogeneity and the presence of a juxta-luminal echolucent area. The power in group 2 of AI to identify symptomatic plaques was determined. Mean AI was for SP-75 (41-100) and for AP-43 (22-100); 78% of SP have AI&gt;60 and 70% of AP have AI&lt;50. The cut-off point between the two groups was 52. ROC curve analysis of the AI were obtained to determine its diagnostic accuracy. CONCLUSION: Activity Index is an objective parameter of plaque echostructure that positively correlates with symptoms. AI may contribute to better selection for treatment of patients with carotid artery disease.},
  author       = {Pedro, L M and Fernandes e Fernandes, J and Pedro, M M and Goncalves, I and Dias, Nuno and Fernandes e Fernandes, R and Carneiro, T F and Balsinha, C},
  issn         = {1532-2165},
  language     = {eng},
  number       = {6},
  pages        = {492--498},
  publisher    = {Elsevier},
  series       = {European Journal of Vascular and Endovascular Surgery},
  title        = {Ultrasonographic risk score of carotid plaques},
  url          = {http://dx.doi.org/10.1053/ejvs.2002.1766},
  volume       = {24},
  year         = {2002},
}