Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

Diagnostic accuracy of carotid plaque instability by noninvasive imaging: a systematic review and meta-analysis

D. Pakizer, J. Kozel, P. Taffé, J. Elmers, J. Feber, P. Michel, D. Školoudík, G. Sirimarco

. 2024 ; 25 (10) : 1325-1335. [pub] 20240930

Language English Country England, Great Britain

Document type Journal Article, Systematic Review, Meta-Analysis

Grant support
NV19-04-00270, NV19-08-00362, NU22-04-00389, SGS11/LF/2022 University of Ostrava
University of Lausanne
Faculty of Biology and Medicine

AIMS: There is increasing evidence that plaque instability in the extracranial carotid artery may lead to an increased stroke risk independently of the degree of stenosis. We aimed to determine diagnostic accuracy of vulnerable and stable plaque using noninvasive imaging modalities when compared to histology in patients with symptomatic and asymptomatic carotid atherosclerosis. METHODS AND RESULTS: Medline Ovid, Embase, Cochrane Library, and Web of Science were searched for diagnostic accuracy of noninvasive imaging modalities (CT, MRI, US) in the detection of 1) vulnerable/stable plaque, and 2) vulnerable/stable plaque characteristics, compared to histology. The quality of included studies was assessed by QUADAS-2 and univariate and bivariate random-effect meta-analyses were performed. We included 36 vulnerable and 5 stable plaque studies in the meta-analysis, and out of 211 plaque characteristics from remaining studies, we classified 169 as vulnerable and 42 as stable characteristics (28 CT, 120 MRI, 104 US characteristics). We found that MRI had high accuracy [90% (95% CI: 82-95%)] in the detection of vulnerable plaque, similar to CT [86% (95% CI: 76-92%); P > 0.05], whereas US showed less accuracy [80% (95% CI: 75-84%); P = 0.013]. CT showed high diagnostic accuracy in visualizing characteristics of vulnerable or stable plaques (89% and 90%) similar to MRI (86% and 89%; P > 0.05); however, US had lower accuracy (77%, P < 0.001 and 82%, P > 0.05). CONCLUSION: CT and MRI have a similar, high performance in detecting vulnerable carotid plaques, whereas US showed significantly less diagnostic accuracy. Moreover, MRI visualized all vulnerable plaque characteristics allowing for a better stroke risk assessment. REGISTRATION: PROSPERO ID CRD42022329690.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24018838
003      
CZ-PrNML
005      
20241024111117.0
007      
ta
008      
241015s2024 enk f 000 0|eng||
009      
AR
024    7_
$a 10.1093/ehjci/jeae144 $2 doi
035    __
$a (PubMed)38953552
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a enk
100    1_
$a Pakizer, David $u Centre for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic $1 https://orcid.org/0000000341609288
245    10
$a Diagnostic accuracy of carotid plaque instability by noninvasive imaging: a systematic review and meta-analysis / $c D. Pakizer, J. Kozel, P. Taffé, J. Elmers, J. Feber, P. Michel, D. Školoudík, G. Sirimarco
520    9_
$a AIMS: There is increasing evidence that plaque instability in the extracranial carotid artery may lead to an increased stroke risk independently of the degree of stenosis. We aimed to determine diagnostic accuracy of vulnerable and stable plaque using noninvasive imaging modalities when compared to histology in patients with symptomatic and asymptomatic carotid atherosclerosis. METHODS AND RESULTS: Medline Ovid, Embase, Cochrane Library, and Web of Science were searched for diagnostic accuracy of noninvasive imaging modalities (CT, MRI, US) in the detection of 1) vulnerable/stable plaque, and 2) vulnerable/stable plaque characteristics, compared to histology. The quality of included studies was assessed by QUADAS-2 and univariate and bivariate random-effect meta-analyses were performed. We included 36 vulnerable and 5 stable plaque studies in the meta-analysis, and out of 211 plaque characteristics from remaining studies, we classified 169 as vulnerable and 42 as stable characteristics (28 CT, 120 MRI, 104 US characteristics). We found that MRI had high accuracy [90% (95% CI: 82-95%)] in the detection of vulnerable plaque, similar to CT [86% (95% CI: 76-92%); P > 0.05], whereas US showed less accuracy [80% (95% CI: 75-84%); P = 0.013]. CT showed high diagnostic accuracy in visualizing characteristics of vulnerable or stable plaques (89% and 90%) similar to MRI (86% and 89%; P > 0.05); however, US had lower accuracy (77%, P < 0.001 and 82%, P > 0.05). CONCLUSION: CT and MRI have a similar, high performance in detecting vulnerable carotid plaques, whereas US showed significantly less diagnostic accuracy. Moreover, MRI visualized all vulnerable plaque characteristics allowing for a better stroke risk assessment. REGISTRATION: PROSPERO ID CRD42022329690.
650    _2
$a lidé $7 D006801
650    12
$a aterosklerotický plát $x diagnostické zobrazování $7 D058226
650    _2
$a stenóza arteria carotis $x diagnostické zobrazování $7 D016893
650    _2
$a nemoci arterie carotis $x diagnostické zobrazování $7 D002340
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a hodnocení rizik $7 D018570
650    _2
$a magnetická rezonanční tomografie $x metody $7 D008279
650    _2
$a počítačová rentgenová tomografie $x metody $7 D014057
655    _2
$a časopisecké články $7 D016428
655    _2
$a systematický přehled $7 D000078182
655    _2
$a metaanalýza $7 D017418
700    1_
$a Kozel, Jiří $u Centre for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic $1 https://orcid.org/0000000346788043 $7 xx0313292
700    1_
$a Taffé, Patrick $u Center for Primary Care and Public Health, Division of Biostatistics, University of Lausanne, Route de la Corniche 10, 1010, Lausanne, Switzerland $1 https://orcid.org/0000000220496651
700    1_
$a Elmers, Jolanda $u Medical Library, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland $1 https://orcid.org/0000000325718812
700    1_
$a Feber, Janusz $u Centre for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic $u Division of Nephrology, Department of Pediatrics, Children's Hospital of Eastern Ontario, University of Ottawa, 401 Smyth Road, ON K1H8L1 Ottawa, Canada $1 https://orcid.org/0000000236876691 $7 xx0074204
700    1_
$a Michel, Patrik $u Stroke Center, Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital, Rue du Bugnon 46, 1011 Lausanne, Switzerland $1 https://orcid.org/0000000349547579
700    1_
$a Školoudík, David $u Centre for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic $1 https://orcid.org/0000000226513424 $7 xx0020614
700    1_
$a Sirimarco, Gaia $u Stroke Center, Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital, Rue du Bugnon 46, 1011 Lausanne, Switzerland $u Neurology Unit, Department of Internal Medicine, Riviera Chablais Hospital, Route du Vieux-Séquoia 20, 1847 Rennaz, Switzerland $1 https://orcid.org/0000000332522084
773    0_
$w MED00180357 $t European heart journal. Cardiovascular Imaging $x 2047-2412 $g Roč. 25, č. 10 (2024), s. 1325-1335
856    41
$u https://pubmed.ncbi.nlm.nih.gov/38953552 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20241015 $b ABA008
991    __
$a 20241024111111 $b ABA008
999    __
$a ok $b bmc $g 2201606 $s 1230811
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2024 $b 25 $c 10 $d 1325-1335 $e 20240930 $i 2047-2412 $m European heart journal. Cardiovascular Imaging $n Eur Heart J Cardiovasc Imaging $x MED00180357
GRA    __
$a NV19-04-00270, NV19-08-00362, NU22-04-00389, SGS11/LF/2022 $p University of Ostrava
GRA    __
$p University of Lausanne
GRA    __
$p Faculty of Biology and Medicine
LZP    __
$a Pubmed-20241015

Find record

Citation metrics

Logged in users only

Archiving options

Loading data ...