1996
DOI: 10.1161/01.str.27.6.1094
|View full text |Cite
|
Sign up to set email alerts
|

Performance of Carotid Ultrasound in Evaluating Candidates for Carotid Endarterectomy Is Optimized by an Approach Based on Clinical Outcome Rather Than Accuracy

Abstract: The use of ROC analysis and available outcome data can improve the performance of CDUS in selecting endarterectomy candidates for cerebral angiography.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
7
0

Year Published

1998
1998
2022
2022

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 25 publications
(7 citation statements)
references
References 20 publications
0
7
0
Order By: Relevance
“…12,31 Therefore, additional tests are required in order to refrain from carotid endarterectomy in patients who do not meet the criteria. These tests should be based preferably on linear lumen reduction measurements.…”
Section: Dmentioning
confidence: 99%
“…12,31 Therefore, additional tests are required in order to refrain from carotid endarterectomy in patients who do not meet the criteria. These tests should be based preferably on linear lumen reduction measurements.…”
Section: Dmentioning
confidence: 99%
“…There has been extensive research into determining the sources of errors in peak velocity measurement. Clinical Doppler studies have focussed on determining how velocity and other criteria 1,[3][4][5][6] affect the accuracy of diagnostic evaluation. Previous studies of technologist variability in the measurement of peak systolic velocity on patients showed significant variability.…”
mentioning
confidence: 99%
“…Because we used duplex as a screening tool for carotid disease, the threshold value was optimized by maximizing sensitivity while maintaining high test accuracy for both periods independently. 18 In addition, logistic regression analysis was used in both periods to assess whether combining the various hemodynamic parameters and ratios would increase duplex performance (ie, increase the AUC). Models were fit with various combinations of single parameters and ratios to estimate regression coefficients.…”
mentioning
confidence: 99%