Ultrasonographic risk score of carotid plaques
Pedro, L M ; Fernandes e Fernandes, J ; Pedro, M M ; Goncalves, I LU
; 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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1125360
- author
- Pedro, L M
; Fernandes e Fernandes, J
; Pedro, M M
; Goncalves, I
LU
; Dias, Nuno
LU
; Fernandes e Fernandes, R
; Carneiro, T F
and Balsinha, C
- publishing date
- 2002
- 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
- additional info
- The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Emergency medicine/Medicine/Surgery (013240200)
- id
- 8e4a41f2-d505-4170-88f0-e5b728933d0e (old id 1125360)
- date added to LUP
- 2016-04-01 16:39:45
- date last changed
- 2022-01-28 21:17:37
@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>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.}},
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}},
doi = {{10.1053/ejvs.2002.1766}},
volume = {{24}},
year = {{2002}},
}