Literature DB >> 9880389

Carotid plaque characterization by duplex scanning: observer error may undermine current clinical trials.

J A Arnold1, K B Modaresi, N Thomas, P R Taylor, T S Padayachee.   

Abstract

BACKGROUND AND
PURPOSE: Clinical studies currently in progress are using subjective methods to characterize plaque morphology from ultrasound images. However, there are few studies on the intraobserver and interobserver variability of these classifications. This study was designed to assess these variables.
METHODS: Grading of plaque morphology from ultrasound images, stored both digitally and to hard copy, was performed by 2 classification schemes. Interobserver agreement was determined by 4 observers. Within-observer agreement was performed at intervals for up to 6 months. Accuracy of the 2 methods was determined by comparison with histology.
RESULTS: Within- and between-observer agreement was moderate to good for full-color digital image analyses, with pooled kappa values of kappap=0.49+/-0.10 and kappap=0.62+/-0.07 for the 2-category method and kappap=0.53+/-0.06 and kappap=0.52+/-0.05 for the 4-category method, respectively. Hard copy data analyses gave lower kappa values. The more experienced observers produced higher within-observer agreements and higher correlation with histology.
CONCLUSIONS: Reproducible grading of ultrasound images is not consistently achievable among experienced observers, and within-observer agreement may vary with time. The current subjective ultrasound characterization of carotid plaque morphology used in clinical trials may be associated with unacceptable levels of reproducibility in some centers. Variability between observers may be reduced by using the simpler 2-category grading of plaque morphology to interrogate full-color digitally stored images. Observer agreement should be audited regularly.

Mesh:

Year:  1999        PMID: 9880389     DOI: 10.1161/01.str.30.1.61

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  14 in total

1.  Significance of sonographic tissue and surface characteristics of carotid plaques.

Authors:  T J Tegos; K J Kalomiris; M M Sabetai; E Kalodiki; A N Nicolaides
Journal:  AJNR Am J Neuroradiol       Date:  2001-09       Impact factor: 3.825

2.  Plaque imaging of the internal carotid artery - correlation of B-flow imaging with histopathology.

Authors:  M Reiter; R Horvat; S Puchner; W Rinner; P Polterauer; J Lammer; E Minar; R A Bucek
Journal:  AJNR Am J Neuroradiol       Date:  2007-01       Impact factor: 3.825

3.  New ischemic brain lesions on diffusion-weighted MRI after carotid artery stenting with filter protection: frequency and relationship with plaque morphology.

Authors:  D Stojanov; M Ilic; P Bosnjakovic; M Zivkovic; S Jolic; N Vukasinovic; A Ignjatovic; B Ilic; D Benedeto-Stojanov
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-22       Impact factor: 3.825

4.  [Ultrasound in vascular surgery].

Authors:  W Lang
Journal:  Chirurg       Date:  2007-05       Impact factor: 0.955

Review 5.  MR plaque imaging of the carotid artery.

Authors:  Yuji Watanabe; Masako Nagayama
Journal:  Neuroradiology       Date:  2010-02-13       Impact factor: 2.804

6.  Carotid plaque composition and cerebral infarction: MR imaging study.

Authors:  Mohamed Ouhlous; H Zwenneke Flach; Thomas T de Weert; Johanna M Hendriks; Marc R H M van Sambeek; Diederik W J Dippel; Peter M T Pattynama; Aad van der Lugt
Journal:  AJNR Am J Neuroradiol       Date:  2005-05       Impact factor: 3.825

Review 7.  Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application.

Authors:  Luca Saba; Skandha S Sanagala; Suneet K Gupta; Vijaya K Koppula; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; Durga P Misra; Vikas Agarwal; Aditya M Sharma; Vijay Viswanathan; Vijay S Rathore; Monika Turk; Raghu Kolluri; Klaudija Viskovic; Elisa Cuadrado-Godia; George D Kitas; Neeraj Sharma; Andrew Nicolaides; Jasjit S Suri
Journal:  Ann Transl Med       Date:  2021-07

Review 8.  Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.

Authors:  Narendra N Khanna; Ankush D Jamthikar; Deep Gupta; Matteo Piga; Luca Saba; Carlo Carcassi; Argiris A Giannopoulos; Andrew Nicolaides; John R Laird; Harman S Suri; Sophie Mavrogeni; A D Protogerou; Petros Sfikakis; George D Kitas; Jasjit S Suri
Journal:  Curr Atheroscler Rep       Date:  2019-01-25       Impact factor: 5.113

9.  Osteopontin and osteoprotegerin in atherosclerotic plaque - are they significant markers of plaque vulnerability?

Authors:  Cristina Strobescu-Ciobanu; Simona Eliza Giuşcă; Irina Draga Căruntu; Cornelia Amălinei; Andreea Rusu; Elena Cojocaru; Radu Florin Popa; Cristian Dumitru Lupaşcu
Journal:  Rom J Morphol Embryol       Date:  2020 Jul-Sep       Impact factor: 1.033

10.  An ultrasound-derived stroke risk score to identify patients at high risk of stroke.

Authors:  Yi Li; Shuai Zheng; Jinghan Zhang; Fumin Wang; Xinyao Liu; Wen He
Journal:  Ann Transl Med       Date:  2021-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.