Literature DB >> 21138503

Operational definitions improve reliability of the age-related white matter changes scale.

Y Xiong1, J Yang, A Wong, C H K Wong, S S W Chan, H H S Li, L H P Tam, J W K Bao, G C Y Wong, X Chen, W C W Chu, W K Lee, K S Wong, V C T Mok.   

Abstract

BACKGROUND AND
PURPOSE: Although the age-related white matter changes (ARWMC) scale has been advocated to be applicable to both MRI and CT for assessing the severity of WMC, its inter-rater reliability on CT is only fair. We aimed to operationalize the ARWMC scale and investigate the effect of this operationalization on the reliability and validity on MRI and CT.
METHODS: Operational definitions of the ARWMC scale were derived from Erkinjuntti research criteria for subcortical vascular dementia and Scheltens scale. Using original and operationalized ARWMC scale, eight observers recorded the time for rating per MRI and per CT. We investigated the inter-rater and intrarater reliability as well as validity against volume using data from 97 stroke patients.
RESULTS: Inter-rater reliability of the operationalized scale on CT (0.874, 95% confidence interval [0.780-0.934]) was better than the original scale (0.569, 95% confidence interval [0.247-0.775]). Its intrarater reliability on CT (0.869) and reliability on MRI (inter-rater: 0.860; intrarater: 0.838) was comparable with the original scale (CT intrarater: 0.750 and on MRI inter-rater: 0.845; intrarater: 0.853). The time required to administer the operationalized scale (4'2″ for MRI and 1'18″ for CT) was similar to that of the original scale (3'56″ for MRI and 1'16″ for CT). The original scale and operationalized scale also significantly correlated with WMC volume (operationalized scale ρ = 0.613, P < 0.001, original scale ρ = 0.638, P < 0.001).
CONCLUSION: Operational definitions improve the inter-rater reliability of ARWMC scale on CT, and it correlates with volumetric measurement.
© 2010 The Author(s). European Journal of Neurology © 2010 EFNS.

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Year:  2010        PMID: 21138503     DOI: 10.1111/j.1468-1331.2010.03272.x

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  16 in total

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Authors:  Christian Schenk; Timothy Wuerz; Alan J Lerner
Journal:  Curr Cardiol Rep       Date:  2013-12       Impact factor: 2.931

2.  Age-related white matter changes.

Authors:  Yun Yun Xiong; Vincent Mok
Journal:  J Aging Res       Date:  2011-08-23

3.  Correlation between cerebellar metabolism and post-stroke depression in patients with ischemic stroke.

Authors:  Lei Zhang; Muzi Li; Rubo Sui
Journal:  Oncotarget       Date:  2017-09-19

4.  Neuropsychiatric Symptom Clusters in Stroke and Transient Ischemic Attack by Cognitive Status and Stroke Subtype: Frequency and Relationships with Vascular Lesions, Brain Atrophy and Amyloid.

Authors:  Adrian Wong; Alexander Y L Lau; Jie Yang; Zhaolu Wang; Wenyan Liu; Bonnie Y K Lam; Lisa Au; Lin Shi; Defeng Wang; Winnie C W Chu; Yun-Yun Xiong; Eugene S K Lo; Lorraine S N Law; Thomas W H Leung; Linda C W Lam; Anne Y Y Chan; Yannie O Y Soo; Eric Y L Leung; Lawrence K S Wong; Vincent C T Mok
Journal:  PLoS One       Date:  2016-09-15       Impact factor: 3.240

5.  Visual Rating Scales of White Matter Hyperintensities and Atrophy: Comparison of Computed Tomography and Magnetic Resonance Imaging.

Authors:  Karen J Ferguson; Vera Cvoro; Alasdair M J MacLullich; Susan D Shenkin; Peter A G Sandercock; Eleni Sakka; Joanna M Wardlaw
Journal:  J Stroke Cerebrovasc Dis       Date:  2018-03-23       Impact factor: 2.136

6.  The impact of white matter hyperintensities on the structural connectome in late-life depression: Relationship to executive functions.

Authors:  Matteo Respino; Abhishek Jaywant; Amy Kuceyeski; Lindsay W Victoria; Matthew J Hoptman; Matthew A Scult; Lindsey Sankin; Monique Pimontel; Conor Liston; Martino Belvederi Murri; George S Alexopoulos; Faith M Gunning
Journal:  Neuroimage Clin       Date:  2019-05-03       Impact factor: 4.881

7.  High burden of cerebral white matter lesion in 9 Asian cities.

Authors:  Bonnie Yin Ka Lam; Brian Yiu; Encarnita Ampil; Christopher Li-Hsian Chen; Yustiani Dikot; Jacqueline C Dominguez; Patel Vishal Ganeshbhai; Saima Hilal; Nagaendran Kandiah; SangYun Kim; Jun-Young Lee; Anam Paulus Ong; Vorapun Senanarong; Kam Tat Leung; Huali Wang; Yuan-Han Yang; Tingting Yong; Faheem Arshad; Suvarna Alladi; Samuel Wong; Ho Ko; Alexander Yuk Lun Lau; Vincent Chung Tong Mok
Journal:  Sci Rep       Date:  2021-06-02       Impact factor: 4.379

8.  Different locations but common associations in subcortical hypodensities of presumed vascular origin: cross-sectional study on clinical and neurosonologic correlates.

Authors:  João Sargento-Freitas; Ricardo Felix-Morais; Joana Ribeiro; Ana Gouveia; César Nunes; Cristina Duque; João Madaleno; Fernando Silva; Cristina Machado; Gustavo Cordeiro; Luís Cunha
Journal:  BMC Neurol       Date:  2014-02-05       Impact factor: 2.474

9.  Relations between Recent Past Leisure Activities with Risks of Dementia and Cognitive Functions after Stroke.

Authors:  Adrian Wong; Alexander Y L Lau; Eugene Lo; Michael Tang; Zhaolu Wang; Wenyan Liu; Nicole Tanner; Natalie Chau; Lorraine Law; Lin Shi; Winnie C W Chu; Jie Yang; Yun-Yun Xiong; Bonnie Y K Lam; Lisa Au; Anne Y Y Chan; Yannie Soo; Thomas W H Leung; Lawrence K S Wong; Linda C W Lam; Vincent C T Mok
Journal:  PLoS One       Date:  2016-07-25       Impact factor: 3.240

10.  Efficacy of Combined XingZhi-YiNao Granules and Hyperbaric Oxygen Therapy for Cognition and Motor Dysfunction in Patients with Delayed Encephalopathy after Acute Carbon Monoxide Poisoning.

Authors:  Li Qin; Chu Meihua; Guo Dadong; Wang Li; Wang Jinglin; Ding Xiaoyu; Bi Mingjun; Zou Yong
Journal:  Evid Based Complement Alternat Med       Date:  2017-11-26       Impact factor: 2.629

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