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Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance
BACKGROUND: Multi-detector computed tomography angiography (MDCTA)of the coronary arteries after stenting has been evaluated in multiple studies. The purpose of this study was to perform a structured review and meta-analysis of the diagnostic performance of MDCTA for the detection of in-stent resten...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533305/ https://www.ncbi.nlm.nih.gov/pubmed/18671850 http://dx.doi.org/10.1186/1471-2342-8-14 |
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author | Vanhoenacker, Piet K Decramer, Isabel Bladt, Olivier Sarno, Giovanna Van Hul, Erik Wijns, William Dwamena, Ben A |
author_facet | Vanhoenacker, Piet K Decramer, Isabel Bladt, Olivier Sarno, Giovanna Van Hul, Erik Wijns, William Dwamena, Ben A |
author_sort | Vanhoenacker, Piet K |
collection | PubMed |
description | BACKGROUND: Multi-detector computed tomography angiography (MDCTA)of the coronary arteries after stenting has been evaluated in multiple studies. The purpose of this study was to perform a structured review and meta-analysis of the diagnostic performance of MDCTA for the detection of in-stent restenosis in the coronary arteries. METHODS: A Pubmed and manual search of the literature on in-stent restenosis (ISR) detected on MDCTA compared with conventional coronary angiography (CA) was performed. Bivariate summary receiver operating curve (SROC) analysis, with calculation of summary estimates was done on a stent and patient basis. In addition, the influence of study characteristics on diagnostic performance and number of non-assessable segments (NAP) was investigated with logistic meta-regression. RESULTS: Fourteen studies were included. On a stent basis, Pooled sensitivity and specificity were 0.82(0.72–0.89) and 0.91 (0.83–0.96). Pooled negative likelihood ratio and positive likelihood ratio were 0.20 (0.13–0.32) and 9.34 (4.68–18.62) respectively. The exclusion of non-assessable stents and the strut thickness of the stents had an influence on the diagnostic performance. The proportion of non-assessable stents was influenced by the number of detectors, stent diameter, strut thickness and the use of an edge-enhancing kernel. CONCLUSION: The sensitivity of MDTCA for the detection of in-stent stenosis is insufficient to use this test to select patients for further invasive testing as with this strategy around 20% of the patients with in-stent stenosis would be missed. Further improvement of scanner technology is needed before it can be recommended as a triage instrument in practice. In addition, the number of non-assessable stents is also high. |
format | Text |
id | pubmed-2533305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25333052008-09-11 Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance Vanhoenacker, Piet K Decramer, Isabel Bladt, Olivier Sarno, Giovanna Van Hul, Erik Wijns, William Dwamena, Ben A BMC Med Imaging Research Article BACKGROUND: Multi-detector computed tomography angiography (MDCTA)of the coronary arteries after stenting has been evaluated in multiple studies. The purpose of this study was to perform a structured review and meta-analysis of the diagnostic performance of MDCTA for the detection of in-stent restenosis in the coronary arteries. METHODS: A Pubmed and manual search of the literature on in-stent restenosis (ISR) detected on MDCTA compared with conventional coronary angiography (CA) was performed. Bivariate summary receiver operating curve (SROC) analysis, with calculation of summary estimates was done on a stent and patient basis. In addition, the influence of study characteristics on diagnostic performance and number of non-assessable segments (NAP) was investigated with logistic meta-regression. RESULTS: Fourteen studies were included. On a stent basis, Pooled sensitivity and specificity were 0.82(0.72–0.89) and 0.91 (0.83–0.96). Pooled negative likelihood ratio and positive likelihood ratio were 0.20 (0.13–0.32) and 9.34 (4.68–18.62) respectively. The exclusion of non-assessable stents and the strut thickness of the stents had an influence on the diagnostic performance. The proportion of non-assessable stents was influenced by the number of detectors, stent diameter, strut thickness and the use of an edge-enhancing kernel. CONCLUSION: The sensitivity of MDTCA for the detection of in-stent stenosis is insufficient to use this test to select patients for further invasive testing as with this strategy around 20% of the patients with in-stent stenosis would be missed. Further improvement of scanner technology is needed before it can be recommended as a triage instrument in practice. In addition, the number of non-assessable stents is also high. BioMed Central 2008-07-31 /pmc/articles/PMC2533305/ /pubmed/18671850 http://dx.doi.org/10.1186/1471-2342-8-14 Text en Copyright © 2008 Vanhoenacker et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Vanhoenacker, Piet K Decramer, Isabel Bladt, Olivier Sarno, Giovanna Van Hul, Erik Wijns, William Dwamena, Ben A Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance |
title | Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance |
title_full | Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance |
title_fullStr | Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance |
title_full_unstemmed | Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance |
title_short | Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance |
title_sort | multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533305/ https://www.ncbi.nlm.nih.gov/pubmed/18671850 http://dx.doi.org/10.1186/1471-2342-8-14 |
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