Online citations, reference lists, and bibliographies.

Noninvasive Model For Predicting Future Ischemic Strokes In Patients With Silent Lacunar Infarction Using Radiomics

Jie-hua Su, Ling-wei Meng, D. Dong, Wen-yan Zhuo, Jian-ming Wang, Li-bin Liu, Y. Qin, Ye Tian, J. Tian, Z. Li
Published 2020 · Computer Science, Medicine

Cite This
Download PDF
Analyze on Scholarcy
Background This study aimed to investigate integrating radiomics with clinical factors in cranial computed tomography (CT) to predict ischemic strokes in patients with silent lacunar infarction (SLI). Methods Radiomic features were extracted from baseline cranial CT images of patients with SLI. A least absolute shrinkage and selection operator (LASSO)–Cox regression analysis was used to select significant prognostic factors based on Model C with clinical factors, Model R with radiomic features, and Model CR with both factors. The Kaplan–Meier method was used to compare stroke-free survival probabilities. A nomogram and a calibration curve were used for further evaluation. Results Radiomic signature ( p  < 0.01), age ( p  = 0.09), dyslipidemia ( p  = 0.03), and multiple infarctions ( p  = 0.02) were independently associated with future ischemic strokes. Model CR had the best accuracy with 6-, 12-, and 18-month areas under the curve of 0.84, 0.81, and 0.79 for the training cohort and 0.79, 0.88, and 0.75 for the validation cohort, respectively. Patients with a Model CR score < 0.17 had higher probabilities of stroke-free survival. The prognostic nomogram and calibration curves of the training and validation cohorts showed acceptable discrimination and calibration capabilities (concordance index [95% confidence interval]: 0.7864 [0.70–0.86]; 0.7140 [0.59–0.83], respectively). Conclusions Radiomic analysis based on baseline CT images may provide a novel approach for predicting future ischemic strokes in patients with SLI. Older patients and those with dyslipidemia or multiple infarctions are at higher risk for ischemic stroke and require close monitoring and intensive intervention.
This paper references
The epidemiology of silent brain infarction: a systematic review of population-based cohorts
J. Fanning (2014)
Frequency, Risk Factors, and Outcome of Coexistent Small Vessel Disease and Intracranial Arterial Stenosis: Results From the Stenting and Aggressive Medical Management for Preventing Recurrent Stroke in Intracranial Stenosis (SAMMPRIS) Trial.
Hyung-Min Kwon (2016)
Systematic review and meta-analysis.
M. Delgado-Rodríguez (2018)
Chinese guidelines for management of patients with acute ischemic stroke
Chinese Society Of Neurology (2014)
Radiomics: the bridge between medical imaging and personalized medicine
P. Lambin (2017)
Radiomics: extracting more information from medical images using advanced feature analysis.
P. Lambin (2012)
Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer.
E. Rios Velazquez (2017)
Concordance probability and discriminatory power in proportional hazards regression
M. Gonen (2005)
Quantitative Biomarkers for Prediction of Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer
Liwen Zhang (2018)
Judging new markers by their ability to improve predictive accuracy.
M. Kattan (2003)
Association Between Silent Brain Infarcts and Cognitive Function: A Systematic Review and Meta-Analysis.
C. Lei (2019)
Intraclass correlations: uses in assessing rater reliability.
P. Shrout (1979)
Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959)
D. Dong (2019)
Computational Radiomics System to Decode the Radiographic Phenotype.
J. van Griethuysen (2017)
Analysis of case-cohort designs.
W. Barlow (1999)
Results of the Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL) Trial by Stroke Subtypes
P. Amarenco (2009)
2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association
W. Powers (2018)
A quantitative systematic review of domain-specific cognitive impairment in lacunar stroke
J. Edwards (2013)
Prediction of hemorrhagic transformation in acute ischemic stroke using texture analysis of postcontrast T1‐weighted MR images
A. Kassner (2009)
Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data
J. Gui (2005)
Wide Variation in Definition, Detection, and Description of Lacunar Lesions on Imaging
G. Potter (2011)
T2 MRI texture analysis is a sensitive measure of tissue injury and recovery resulting from acute inflammatory lesions in multiple sclerosis
Y. Zhang (2009)
Silent brain infarcts: a systematic review
S. Vermeer (2007)
Multiple Silent Lacunes Are Associated with Recurrent Ischemic Stroke
S. D. Andersen (2016)
A Class of Weighted Log-Rank Tests for Survival Data When the Event is Rare
Steven Buyske (2000)
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations
Publisher's Note
H. V. D. Togt (2003)
Guidelines for the Primary Prevention of Stroke: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association
J. Meschia (2014)
Silent Brain Infarction and Risk of Future Stroke: A Systematic Review and Meta-Analysis
A. Gupta (2016)
Degree of blood pressure reduction and recurrent stroke: the PROGRESS trial
H. Arima (2014)
Prevention of Stroke in Patients With Silent Cerebrovascular Disease: A Scientific Statement for Healthcare Professionals From the American Heart Association/American Stroke Association
E. Smith (2017)
Lacunar infarcts: no black holes in the brain are benign
B. Norrving (2008)
An Updated Definition of Stroke for the 21st Century: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association
R. Sacco (2013)
Recurrent vascular events in lacunar stroke patients with metabolic syndrome and/or diabetes
Shuhan Zhu (2015)
Silent brain infarction in nonrheumatic atrial fibrillation. EAFT Study Group. European Atrial Fibrillation Trial.
Level of Systolic Blood Pressure Within the Normal Range and Risk of Recurrent Stroke
W. Elliott (2012)
Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association
E. Jauch (2013)
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
H. Peng (2005)
Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction.
S. Bae (2018)
CT imaging selection in acute stroke.
Laurie Bouchez (2017)
Deep learning of tissue fate features in acute ischemic stroke
Noah Stier (2015)
Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer
D. Dong (2019)
Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis.
H. Barnett (1991)
European Stroke Organisation Executive C, Committee ESOW. Guidelines for management of ischaemic stroke and transient ischaemic attack
Radiomics: Images Are More than Pictures, They Are Data
R. Gillies (2016)
The Association between Carotid Artery Atherosclerosis and Silent Brain Infarction: A Systematic Review and Meta-analysis.
Caitlin Finn (2017)
Stroke in China: advances and challenges in epidemiology, prevention, and management
S. Wu (2019)
Prevalence and Risk Factors of Silent Brain Infarcts in the Population-Based Rotterdam Scan Study
S. Vermeer (2002)

Semantic Scholar Logo Some data provided by SemanticScholar