Quantitative Histogram Analysis on Intracranial Atherosclerotic Plaques: A High-Resolution Magnetic Resonance Imaging Study.
biomarkers
intracranial arteriosclerosis
magnetic resonance imaging
odds ratio
stroke
Journal
Stroke
ISSN: 1524-4628
Titre abrégé: Stroke
Pays: United States
ID NLM: 0235266
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
entrez:
23
6
2020
pubmed:
23
6
2020
medline:
5
11
2020
Statut:
ppublish
Résumé
Intracranial atherosclerosis is one of the main causes of stroke, and high-resolution magnetic resonance imaging provides useful imaging biomarkers related to the risk of ischemic events. This study aims to evaluate differences in histogram features between culprit and nonculprit intracranial atherosclerosis using high-resolution magnetic resonance imaging. Two hundred forty-seven patients with intracranial atherosclerosis who underwent high-resolution magnetic resonance imaging sequentially between January 2015 and December 2016 were recruited. Quantitative features, including stenosis, plaque burden, minimum luminal area, intraplaque hemorrhage, enhancement ratio, and dispersion of signal intensity (coefficient of variation), were analyzed based on T2-, T1-, and contrast-enhanced T1-weighted images. Step-wise regression analysis was used to identify key determinates differentiating culprit and nonculprit plaques and to calculate the odds ratios (ORs) with 95% CIs. In total, 190 plaques were identified, of which 88 plaques (37 culprit and 51 nonculprit) were located in the middle cerebral artery and 102 (57 culprit and 45 nonculprit) in the basilar artery. Nearly 90% of culprit lesions had a degree of luminal stenosis of <70%. Multiple logistic regression analyses showed that intraplaque hemorrhage (OR, 16.294 [95% CI, 1.043-254.632]; Features characterized by high-resolution magnetic resonance imaging provided complementary values over luminal stenosis in defined lesion type for intracranial atherosclerosis; the dispersion of signal intensity in histogram analysis was a particularly effective predictive parameter.
Sections du résumé
BACKGROUND AND PURPOSE
Intracranial atherosclerosis is one of the main causes of stroke, and high-resolution magnetic resonance imaging provides useful imaging biomarkers related to the risk of ischemic events. This study aims to evaluate differences in histogram features between culprit and nonculprit intracranial atherosclerosis using high-resolution magnetic resonance imaging.
METHODS
Two hundred forty-seven patients with intracranial atherosclerosis who underwent high-resolution magnetic resonance imaging sequentially between January 2015 and December 2016 were recruited. Quantitative features, including stenosis, plaque burden, minimum luminal area, intraplaque hemorrhage, enhancement ratio, and dispersion of signal intensity (coefficient of variation), were analyzed based on T2-, T1-, and contrast-enhanced T1-weighted images. Step-wise regression analysis was used to identify key determinates differentiating culprit and nonculprit plaques and to calculate the odds ratios (ORs) with 95% CIs.
RESULTS
In total, 190 plaques were identified, of which 88 plaques (37 culprit and 51 nonculprit) were located in the middle cerebral artery and 102 (57 culprit and 45 nonculprit) in the basilar artery. Nearly 90% of culprit lesions had a degree of luminal stenosis of <70%. Multiple logistic regression analyses showed that intraplaque hemorrhage (OR, 16.294 [95% CI, 1.043-254.632];
CONCLUSIONS
Features characterized by high-resolution magnetic resonance imaging provided complementary values over luminal stenosis in defined lesion type for intracranial atherosclerosis; the dispersion of signal intensity in histogram analysis was a particularly effective predictive parameter.
Identifiants
pubmed: 32568660
doi: 10.1161/STROKEAHA.120.029062
pmc: PMC7306260
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2161-2169Subventions
Organisme : British Heart Foundation
ID : CH/2000003/12800
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/15/26/31441
Pays : United Kingdom
Références
Atherosclerosis. 2016 Jun;249:10-6
pubmed: 27062404
Radiology. 2016 Sep;280(3):860-8
pubmed: 27022858
Stroke. 2016 Feb;47(2):434-40
pubmed: 26742795
Stroke. 2011 May;42(5):1244-50
pubmed: 21454818
Atherosclerosis. 2012 Aug;223(2):321-6
pubmed: 22762729
Circulation. 2005 May 31;111(21):2768-75
pubmed: 15911695
Cancer Imaging. 2019 Feb 4;19(1):5
pubmed: 30717792
J Ultrasound Med. 2016 Oct;35(10):2253-61
pubmed: 27582533
JAMA Neurol. 2014 Apr;71(4):405-11
pubmed: 24535643
Eur Radiol. 2016 Jul;26(7):2206-14
pubmed: 26376883
Circulation. 2014 Jan 21;129(3):399-410
pubmed: 24446411
Ann Neurol. 2012 Feb;71(2):195-8
pubmed: 22367991
AJNR Am J Neuroradiol. 2018 Jul;39(7):1286-1292
pubmed: 29794236
Radiology. 2013 Feb;266(2):531-8
pubmed: 23151830
Angiology. 2011 May;62(4):317-28
pubmed: 21474467
JACC Cardiovasc Imaging. 2012 Aug;5(8):798-804
pubmed: 22897993
Stroke. 2004 May;35(5):1079-84
pubmed: 15060318
Stroke. 2014 Mar;45(3):663-9
pubmed: 24481975
Ultrasound Med Biol. 2007 Jan;33(1):26-36
pubmed: 17189044
AJNR Am J Neuroradiol. 2017 Feb;38(2):218-229
pubmed: 27469212
Invest Radiol. 2013 Sep;48(9):646-53
pubmed: 23614976
Atherosclerosis. 2011 Mar;215(1):110-5
pubmed: 21227419
Stroke. 2017 Mar;48(3):638-644
pubmed: 28196941
Br J Cancer. 2014 Dec 9;111(12):2205-13
pubmed: 25268373
Circulation. 2014 Jul 8;130(2):192-201
pubmed: 25001624
Circulation. 2001 Oct 23;104(17):2051-6
pubmed: 11673345
Neurol Res. 2016 Jul;38(7):606-13
pubmed: 26315990
Eur Radiol. 2018 Sep;28(9):3912-3921
pubmed: 29633002
Eur J Vasc Endovasc Surg. 2013 Jan;45(1):7-21
pubmed: 23200607
J Stroke Cerebrovasc Dis. 2017 Jun;26(6):1341-1348
pubmed: 28314627
Eur J Radiol. 2012 Dec;81(12):4069-74
pubmed: 22846476
Eur J Radiol. 2017 Dec;97:110-114
pubmed: 29153360