Literature DB >> 27027314

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

Pierleone Lucatelli1, Eytan Raz2, Luca Saba3, Giovanni Maria Argiolas4, Roberto Montisci5, Max Wintermark6, Kevin S King7, Filippo Molinari8, Nobutaka Ikeda9, Paolo Siotto4, Jasjit S Suri10,11.   

Abstract

OBJECTIVE: To assess the relationship between the degree of leukoaraiosis (LA), carotid intima-media thickness (IMT) and intima-media thickness variability (IMTV).
MATERIALS AND METHODS: Sixty-one consecutive patients, who underwent a brain MRI examination and a carotid artery ultrasound, were included in this retrospective study, which conformed with the Declaration of Helsinki. Written informed consent was waived. In each patient, right/left carotid arteries and brain hemispheres were assessed using automated software for IMT, IMTV and LA volume.
RESULTS: The mean hemispheric LA volume was 2,224 mm3 (SD 2,702 mm3) and there was no statistically significant difference in LA volume between the right and left hemispheres (p value = 0.628). The mean IMT and IMTV values were 0.866 mm (SD 0.170) and 0.143 mm (SD 0.100), respectively, without significant differences between the right and left sides (p values 0.733 and 0.098, respectively). The correlation coefficient between IMTV and LA volume was 0.41 (p value = 0.0001), and 0.246 (p value = 0.074) between IMT and LA volume.
CONCLUSIONS: IMTV significantly correlates with LA volume. Further studies are warranted to verify whether this parameter can be used clinically as a marker of cerebrovascular risk. KEY POINTS: • 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.

Entities:  

Keywords:  Arterial intima; IMT; Leukoaraiosis; MRI; Ultrasound

Mesh:

Year:  2016        PMID: 27027314     DOI: 10.1007/s00330-016-4296-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  38 in total

1.  Increased intima media thickness and atherosclerotic plaques in the carotid artery as risk factors for silent brain infarcts.

Authors:  Kazuo Inoue; Masatoshi Matsumoto; Teiji Shono; Satoshi Toyokawa; Akihito Moriki
Journal:  J Stroke Cerebrovasc Dis       Date:  2007 Jan-Feb       Impact factor: 2.136

2.  Association between the intima-media thickness of the brachiocephalic trunk and white matter hyperintensity in brain MRI.

Authors:  Katsunori Isa; Atsushi Sakima; Hirokuni Sakima; Koh Nakachi; Kozen Kinjyo; Yusuke Ohya
Journal:  Hypertens Res       Date:  2013-07-11       Impact factor: 3.872

3.  Variability in the intima-media thickness measurement as marker for cardiovascular risk? Not quite settled yet.

Authors:  Michiel L Bots; Hester M den Ruijter
Journal:  Cardiovasc Diagn Ther       Date:  2012-03

4.  Evidence for genetic variance in white matter hyperintensity volume in normal elderly male twins.

Authors:  D Carmelli; C DeCarli; G E Swan; L M Jack; T Reed; P A Wolf; B L Miller
Journal:  Stroke       Date:  1998-06       Impact factor: 7.914

5.  Carotid artery wall thickness and leukoaraiosis: preliminary results using multidetector row CT angiography.

Authors:  L Saba; L Pascalis; R Sanfilippo; M Anzidei; R Bura; R Montisci; G Mallarini
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-24       Impact factor: 3.825

6.  White matter hyperintensity volume is increased in small vessel stroke subtypes.

Authors:  N S Rost; R M Rahman; A Biffi; E E Smith; A Kanakis; K Fitzpatrick; F Lima; B B Worrall; J F Meschia; R D Brown; T G Brott; A G Sorensen; S M Greenberg; K L Furie; J Rosand
Journal:  Neurology       Date:  2010-11-09       Impact factor: 9.910

7.  Age, hypertension, and lacunar stroke are the major determinants of the severity of age-related white matter changes. The LADIS (Leukoaraiosis and Disability in the Elderly) Study.

Authors:  Anna Maria Basile; Leonardo Pantoni; Giovanni Pracucci; Kjell Asplund; Hugues Chabriat; Timo Erkinjuntti; Franz Fazekas; José M Ferro; Michael Hennerici; John O'Brien; Philip Scheltens; Marieke C Visser; Lars-Olof Wahlund; Gunhild Waldemar; Anders Wallin; Domenico Inzitari
Journal:  Cerebrovasc Dis       Date:  2006-02-14       Impact factor: 2.762

8.  Stroke risk profile predicts white matter hyperintensity volume: the Framingham Study.

Authors:  Tom Jeerakathil; Philip A Wolf; Alexa Beiser; Joseph Massaro; Sudha Seshadri; Ralph B D'Agostino; Charles DeCarli
Journal:  Stroke       Date:  2004-06-24       Impact factor: 7.914

9.  Progression of white matter hyperintensities and incidence of new lacunes over a 3-year period: the Leukoaraiosis and Disability study.

Authors:  Alida A Gouw; Wiesje M van der Flier; Franz Fazekas; Elisabeth C W van Straaten; Leonardo Pantoni; Anna Poggesi; Domenico Inzitari; Timo Erkinjuntti; Lars O Wahlund; Gunhild Waldemar; Reinhold Schmidt; Philip Scheltens; Frederik Barkhof
Journal:  Stroke       Date:  2008-03-06       Impact factor: 7.914

10.  Association of ultrasonographic parameters with subclinical white-matter hyperintensities in hypertensive patients.

Authors:  Ioannis Heliopoulos; Dimitrios Artemis; Konstantinos Vadikolias; Grigorios Tripsianis; Charitomeni Piperidou; Georgios Tsivgoulis
Journal:  Cardiovasc Psychiatry Neurol       Date:  2012-09-26
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  5 in total

1.  The Asymmetry of White Matter Hyperintensity Burden Between Hemispheres Is Associated With Intracranial Atherosclerotic Plaque Enhancement Grade.

Authors:  Ling Ni; Fei Zhou; Zhao Qing; Xin Zhang; Ming Li; Bin Zhu; Bing Zhang; Yun Xu
Journal:  Front Aging Neurosci       Date:  2020-06-23       Impact factor: 5.750

Review 2.  A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework.

Authors:  Mainak Biswas; Luca Saba; Tomaž Omerzu; Amer M Johri; Narendra N Khanna; Klaudija Viskovic; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Antonella Balestrieri; Petros P Sfikakis; Athanasios Protogerou; Durga Prasanna Misra; Vikas Agarwal; George D Kitas; Raghu Kolluri; Aditya Sharma; Vijay Viswanathan; Zoltan Ruzsa; Andrew Nicolaides; Jasjit S Suri
Journal:  J Digit Imaging       Date:  2021-06-02       Impact factor: 4.903

Review 3.  Cardiovascular/Stroke Risk Stratification in Parkinson's Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review.

Authors:  Jasjit S Suri; Sudip Paul; Maheshrao A Maindarkar; Anudeep Puvvula; Sanjay Saxena; Luca Saba; Monika Turk; John R Laird; Narendra N Khanna; Klaudija Viskovic; Inder M Singh; Mannudeep Kalra; Padukode R Krishnan; Amer Johri; Kosmas I Paraskevas
Journal:  Metabolites       Date:  2022-03-31

4.  Mediating roles of leukoaraiosis and infarcts in the effects of unilateral carotid artery stenosis on cognition.

Authors:  Kuo-Lun Huang; Ting-Yu Chang; Yi-Ming Wu; Yeu-Jhy Chang; Hsiu-Chuan Wu; Chi-Hung Liu; Tsong-Hai Lee; Meng-Yang Ho
Journal:  Front Aging Neurosci       Date:  2022-09-29       Impact factor: 5.702

5.  Unseen Artificial Intelligence-Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular Study.

Authors:  Pankaj K Jain; Neeraj Sharma; Luca Saba; Kosmas I Paraskevas; Mandeep K Kalra; Amer Johri; John R Laird; Andrew N Nicolaides; Jasjit S Suri
Journal:  Diagnostics (Basel)       Date:  2021-12-02
  5 in total

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