Relationship between leukoaraiosis, carotid intima-media thickness and intima-media thickness variability: Preliminary results

Lucatelli, Pierleone; Raz, Eytan; Saba, Luca; Argiolas, Giovanni Maria; Montisci, Roberto; Wintermark, Max; King, Kevin S.; Molinari, Filippo; Ikeda, Nobutaka; Siotto, Paolo; Suri, Jasjit S.

doi:10.1007/s00330-016-4296-4

Cited by 23 publications

(16 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CCVRFs is consistent with earlier published studies [39,40]. The IMTV biomarker [28] is also high in covariate ranking, in accordance with previous studies in risk stratification [41].…”

supporting

confidence: 92%

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach

Cuadrado-Godia

Jamthikar

Gupta

et al. 2019

Computers in Biology and Medicine

Self Cite

View full text Add to dashboard Cite

Purpose: Conventional cardiovascular risk factors (CCVRFs) and carotid ultrasound imagebased phenotypes (CUSIP) are independently associated with long-term risk of cardiovascular (CV) disease. In this study, 26 cardiovascular risk (CVR) factors which consisted of a combination of CCVRFs and CUSIP together were ranked. Further, an optimal risk calculator using AtheroEdge composite risk score (AECRS1.0) was designed and benchmarked against seven conventional CV risk (CVR) calculators. Methods: Two types of ranking were performed: (i) ranking of 26 CVR factors and (ii) ranking of eight types of 10-year risk calculators. In the first case, multivariate logistic regression was used to compute the odds ratio (OR) and in the second, receiver operating characteristic curves were used to evaluate the performance of eight types of CVR calculators using SPSS23.0 and MEDCALC12.0 with validation against STATA15.0. Results: The left and right common carotid arteries (CCA) of 202 Japanese patients were examined to obtain 404 ultrasound scans. CUSIP ranked in the top 50% of the 26 covariates. Intima-media thickness variability (IMTV) and IMTV 10yr were the most influential carotid phenotypes for left CCA (OR=250, P<0.0001 and OR=207, P<0.0001 respectively) and right CCA (OR=1614, P<0.0001 and OR=626, P<0.0001 respectively). However, for the mean CCA, AECRS1.0 and AECRS1.0 10yr reported the most highly significant OR among all the CVR factors (OR=1.073, P<0.0001 and OR=1.104, P<0.0001). AECRS1.0 10yr also reported highest area-under-the-curve (AUC=0.904, P<0.0001) compared to seven types of conventional calculators. Age and glycated haemoglobin reported highest OR (1.96, P<0.0001 and 1.05, P=0.012) among all other CCVRFs. Conclusion: AECRS1.0 10yr demonstrated the best performance due to presence of CUSIP and ranked at the first place with highest AUC.

show abstract

“…CCVRFs is consistent with earlier published studies [39,40]. The IMTV biomarker [28] is also high in covariate ranking, in accordance with previous studies in risk stratification [41].…”

supporting

confidence: 92%

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach

Cuadrado-Godia

Jamthikar

Gupta

et al. 2019

Computers in Biology and Medicine

Self Cite

View full text Add to dashboard Cite

show abstract

“…From this data derives statistically significant correlation between IMTV value and WMH extension and the number of lesions preferentially located on the right hemisphere, while IMT did not show any significance or any predictive role for WMH's evolution. These findings would support the hypothesis according to which IMTV could represent an early marker of endothelial dysfunction in the carotid artery and predictor factor of LA [40]. Another item to evaluate, according to increased cerebrovascular risks, is the structural composition of atheromasic plaque; in particular, fatty components is a critical factor for carotid artery vulnerability and increased risk of micro-embolization Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 5 January 2020 doi:10.20944/preprints202001.0042.v1…”

Section: Discussionsupporting

confidence: 85%

White Matter Hyperintensity and Vascular Disease from Biological Basis to Clinical Significance

Garofalo¹,

Suri²,

Porcu³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

White matter disease" identifies a series of different conditions and pathological mechanisms: autoimmune, infectious, toxic-metabolic and vascular. Each of these leads to a global impairment of the neural myelination process through the secondary destruction of previously myelinated structures. To date, the imaging spectrum represents an irreplaceable tool to detect these lesions, describe their distribution patterns and stage them over time.This study aims presents a pictorial review of white matter disease, from pathology to imaging spectrum, reporting current main staging systems with greater emphasis to relationship between cerebrovascular disease and white matter hyper-intensity appearance, and the newest advances in this field.Keywords: CT = Computed Tomography; MRI = Magnetic Resonance Imaging; LA = Leukoaraiosis; WMH = white matter hyperintensities; SVD = small vessels disease; PWMH = periventricular white matter hyperintensities; DWMH = deep white matter hyperintensities Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 5 January 2020

show abstract

“…This approach allows testing the potential association of different HU values according to the keV used, and the purpose was to assess if there is a correlation between the carotid CT plaque attenuation values measured by DECT scanner and brain LA. The rationale of this study relies on the fact that the etiopathogenesis of LA is not completely understood, 7,11,12,18 and even if most authors suggest that LA is due to small-vessel pathology, other evidence seems to support the hypothesis that large-vessel pathology, namely carotid artery, is related to the development and severity of LA.…”

Section: Discussionmentioning

confidence: 98%

“…11 However, recent published papers have linked this condition to large-vessel atherosclerosis. [12][13][14] Because of the potential association between carotid artery pathology and LA, we tried to explore the potential correlation between the volume of LA and the carotid artery plaque attenuation by considering the different HU levels owing to the different keV selection obtainable with the dual-energy scanner.…”

Section: Introductionmentioning

confidence: 99%

Relationship between Carotid Computed Tomography Dual-Energy and Brain Leukoaraiosis

Saba

Sanfilippo

Balestrieri

et al. 2017

Journal of Stroke and Cerebrovascular Diseases

Self Cite

View full text Add to dashboard Cite

show abstract

Relationship between leukoaraiosis, carotid intima-media thickness and intima-media thickness variability: Preliminary results

Abstract: • Intima-media thickness variability (IMTV) significantly correlates with leukoaraiosis volume. • IMTV could be used as a marker for cerebrovascular risk. • IMTV seems to be a better predictor of weighted mean difference than IMT.

Cited by 23 publications

References 38 publications

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach

White Matter Hyperintensity and Vascular Disease from Biological Basis to Clinical Significance

Relationship between Carotid Computed Tomography Dual-Energy and Brain Leukoaraiosis

Contact Info

Product

Resources

About