Validity of Carotid Doppler Ultrasound for Detection of Caroted Stenosis keeping Computed Tomography Sensitivity as Gold Standard
DOI:
https://doi.org/10.52206/jsmc.2022.12.2.571Abstract
Background: Stroke is that the world's leading reason for death and major incapacity. Arterial sclerosis is answerable for over half of all ischemic strokes. Plaque morphology has recently been discovered to assist within the prediction of arterial sclerosis, Clinical behaviour and stroke risk.
Objective: To guage the frequency and diagnostic exactitude of artery Doppler imaging pathology detection to arterial blood vessel pathology.
Material and Methods: Study was conducted in Combined Military Hospital, Peshawar from1st August 2019 to 31st March 2020. A total of 120 patients were consecutively selected. The inclusion criteria were all the patients having ischemic cerebrovascular disease. Doppler ultrasound was performed in every patient by a consultant radiologist. Doppler ultrasound findings were compared with Carotid artery stenosis reports.
Results: Age range in this study was from 30-80 years with mean age of 63.07±3.76 years. Mean duration of disease was 1 Years ±3.32 months. Overall sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of Doppler Ultrasoundis 89.5%, 76.20%, 45.5%, 93.88% and 76.9% respectively.
Conclusion: With the advancement in technology, the accuracy of Carotid artery stenosis diagnosis has significantly improved over the decades. From measuring the narrowing carotid artery diameter to evaluating the increased velocity field near the obstruction/lesion site, the identification of additional parameters to characterize plaque vulnerability has become more important in the carotid artery. Via various imaging modalities, the use of computer-aided programmes has increased the sensitivity, precision, and accuracy of Carotid artery stenosis diagnosis.
Key Words: Carotid artery stenosis, Doppler ultrasound Sensitivity, Specificity
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 The authors retain the copyrights. Authors are permitted and encouraged to post their work online (e.g. in institutional repositories or on their website), as it can lead to productive exchanges, as well as greater citation of published work.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Readers may “Share-copy and redistribute the material in any medium or format” and “Adapt-remix, transform, and build upon the material”. The readers must give appropriate credit to the source of the material and indicate if changes were made to the material. Readers may not use the material for commercial purpose. The readers may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.



