Cargando…

Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach

OBJECTIVES: To evaluate a quantitative radiomic approach based on high-resolution magnetic resonance imaging (HR-MRI) to differentiate acute/sub-acute symptomatic basilar artery plaque from asymptomatic plaque. METHODS: Ninety-six patients with basilar artery stenosis underwent HR-MRI between Januar...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Zhang, Zhu, Chengcheng, Degnan, Andrew J., Tian, Xia, Li, Jing, Chen, Luguang, Zhang, Xuefeng, Peng, Wenjia, Chen, Chao, Lu, Jianping, Jiang, Tao, Saloner, David, Liu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6081255/
https://www.ncbi.nlm.nih.gov/pubmed/29633002
http://dx.doi.org/10.1007/s00330-018-5395-1
_version_ 1783345629862297600
author Shi, Zhang
Zhu, Chengcheng
Degnan, Andrew J.
Tian, Xia
Li, Jing
Chen, Luguang
Zhang, Xuefeng
Peng, Wenjia
Chen, Chao
Lu, Jianping
Jiang, Tao
Saloner, David
Liu, Qi
author_facet Shi, Zhang
Zhu, Chengcheng
Degnan, Andrew J.
Tian, Xia
Li, Jing
Chen, Luguang
Zhang, Xuefeng
Peng, Wenjia
Chen, Chao
Lu, Jianping
Jiang, Tao
Saloner, David
Liu, Qi
author_sort Shi, Zhang
collection PubMed
description OBJECTIVES: To evaluate a quantitative radiomic approach based on high-resolution magnetic resonance imaging (HR-MRI) to differentiate acute/sub-acute symptomatic basilar artery plaque from asymptomatic plaque. METHODS: Ninety-six patients with basilar artery stenosis underwent HR-MRI between January 2014 and December 2016. Patients were scanned with T1- and T2-weighted imaging, as well as T1 imaging following gadolinium-contrast injection (CE-T1). The stenosis value, plaque area/burden, lumen area, minimal luminal area (MLA), intraplaque haemorrhage (IPH), contrast enhancement ratio and 94 quantitative radiomic features were extracted and compared between acute/sub-acute and asymptomatic patients. Multi-variate logistic analysis and a random forest model were used to evaluate the diagnostic performance. RESULTS: IPH, MLA and enhancement ratio were independently associated with acute/subacute symptoms. Radiomic features in T1 and CE-T1 images were associated with acute/subacute symptoms, but the features from T2 images were not. The combined IPH, MLA and enhancement ratio had an area under the curve (AUC) of 0.833 for identifying acute/sub-acute symptomatic plaques, and the combined T1 and CE-T1 radiomic approach had a significantly higher AUC of 0.936 (p = 0.01). Combining all features achieved an AUC of 0.974 and accuracy of 90.5%. CONCLUSIONS: Radiomic analysis of plaque texture on HR-MRI accurately distinguished between acutely symptomatic and asymptomatic basilar plaques. KEY POINTS: • High-resolution magnetic resonance imaging can assess basilar artery atherosclerotic plaque. • Radiomic features in T1 and CE-T1 images are associated with acute symptoms. • Radiomic analysis can accurately distinguish between acute symptomatic and asymptomatic plaque. • The highest accuracy may be achieved by combining radiomic and conventional features. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-018-5395-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6081255
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-60812552018-08-24 Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach Shi, Zhang Zhu, Chengcheng Degnan, Andrew J. Tian, Xia Li, Jing Chen, Luguang Zhang, Xuefeng Peng, Wenjia Chen, Chao Lu, Jianping Jiang, Tao Saloner, David Liu, Qi Eur Radiol Magnetic Resonance OBJECTIVES: To evaluate a quantitative radiomic approach based on high-resolution magnetic resonance imaging (HR-MRI) to differentiate acute/sub-acute symptomatic basilar artery plaque from asymptomatic plaque. METHODS: Ninety-six patients with basilar artery stenosis underwent HR-MRI between January 2014 and December 2016. Patients were scanned with T1- and T2-weighted imaging, as well as T1 imaging following gadolinium-contrast injection (CE-T1). The stenosis value, plaque area/burden, lumen area, minimal luminal area (MLA), intraplaque haemorrhage (IPH), contrast enhancement ratio and 94 quantitative radiomic features were extracted and compared between acute/sub-acute and asymptomatic patients. Multi-variate logistic analysis and a random forest model were used to evaluate the diagnostic performance. RESULTS: IPH, MLA and enhancement ratio were independently associated with acute/subacute symptoms. Radiomic features in T1 and CE-T1 images were associated with acute/subacute symptoms, but the features from T2 images were not. The combined IPH, MLA and enhancement ratio had an area under the curve (AUC) of 0.833 for identifying acute/sub-acute symptomatic plaques, and the combined T1 and CE-T1 radiomic approach had a significantly higher AUC of 0.936 (p = 0.01). Combining all features achieved an AUC of 0.974 and accuracy of 90.5%. CONCLUSIONS: Radiomic analysis of plaque texture on HR-MRI accurately distinguished between acutely symptomatic and asymptomatic basilar plaques. KEY POINTS: • High-resolution magnetic resonance imaging can assess basilar artery atherosclerotic plaque. • Radiomic features in T1 and CE-T1 images are associated with acute symptoms. • Radiomic analysis can accurately distinguish between acute symptomatic and asymptomatic plaque. • The highest accuracy may be achieved by combining radiomic and conventional features. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-018-5395-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-04-09 2018 /pmc/articles/PMC6081255/ /pubmed/29633002 http://dx.doi.org/10.1007/s00330-018-5395-1 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Magnetic Resonance
Shi, Zhang
Zhu, Chengcheng
Degnan, Andrew J.
Tian, Xia
Li, Jing
Chen, Luguang
Zhang, Xuefeng
Peng, Wenjia
Chen, Chao
Lu, Jianping
Jiang, Tao
Saloner, David
Liu, Qi
Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach
title Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach
title_full Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach
title_fullStr Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach
title_full_unstemmed Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach
title_short Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach
title_sort identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach
topic Magnetic Resonance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6081255/
https://www.ncbi.nlm.nih.gov/pubmed/29633002
http://dx.doi.org/10.1007/s00330-018-5395-1
work_keys_str_mv AT shizhang identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT zhuchengcheng identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT degnanandrewj identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT tianxia identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT lijing identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT chenluguang identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT zhangxuefeng identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT pengwenjia identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT chenchao identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT lujianping identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT jiangtao identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT salonerdavid identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach
AT liuqi identificationofhighriskplaquefeaturesinintracranialatherosclerosisinitialexperienceusingaradiomicapproach