Literature DB >> 19008468

improving interrater agreement about brain microbleeds: development of the Brain Observer MicroBleed Scale (BOMBS).

Charlotte Cordonnier1, Gillian M Potter, Caroline A Jackson, Fergus Doubal, Sarah Keir, Cathie L M Sudlow, Joanna M Wardlaw, Rustam Al-Shahi Salman.   

Abstract

BACKGROUND AND
PURPOSE: If the diagnostic and prognostic significance of brain microbleeds (BMBs) are to be investigated and used for these purposes in clinical practice, observer variation in BMB assessment must be minimized.
METHODS: Two doctors used a pilot rating scale to describe the number and distribution of BMBs (round, low-signal lesions, <10 mm diameter on gradient echo MRI) among 264 adults with stroke or TIA. They were blinded to clinical data and their counterpart's ratings. Disagreements were adjudicated by a third observer, who informed the development of a new Brain Observer MicroBleed Scale (BOMBS), which was tested in a separate cohort of 156 adults with stroke.
RESULTS: In the pilot study, agreement about the presence of >/=1 BMB in any location was moderate (kappa=0.44; 95% CI, 0.32-0.56), but agreement was worse in lobar locations (kappa=0.44; 95% CI, 0.30-0.58) than in deep (kappa=0.62; 95% CI, 0.48-0.76) or posterior fossa locations (kappa=0.66; 95% CI, 0.47-0.84). Using BOMBS, agreement about the presence of >/=1 BMB improved in any location (kappa=0.68; 95% CI, 0.49-0.86) and in lobar locations (kappa=0.78; 95% CI, 0.60-0.97).
CONCLUSIONS: Interrater reliability concerning the presence of BMBs was moderate to good, and could be improved with the use of the BOMBS rating scale, which takes into account the main sources of interrater disagreement identified by our pilot scale.

Entities:  

Mesh:

Year:  2008        PMID: 19008468     DOI: 10.1161/STROKEAHA.108.526996

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  110 in total

1.  Cerebral microbleeds: burden assessment by using quantitative susceptibility mapping.

Authors:  Tian Liu; Krishna Surapaneni; Min Lou; Liuquan Cheng; Pascal Spincemaille; Yi Wang
Journal:  Radiology       Date:  2011-11-04       Impact factor: 11.105

2.  Renal dysfunction is associated with deep cerebral microbleeds but not white matter hyperintensities in patients with acute intracerebral hemorrhage.

Authors:  Mona Laible; Solveig Horstmann; Markus Möhlenbruch; Christian Wegele; Timolaos Rizos; Svenja Schüler; Markus Zorn; Roland Veltkamp
Journal:  J Neurol       Date:  2015-07-15       Impact factor: 4.849

3.  Cerebral microbleeds and quality of life in acute ischemic stroke.

Authors:  W K Tang; Y K Chen; J Lu; A T Ahuja; W C W Chu; V C T Mok; G S Ungvari; Y T Xiang; K S Wong
Journal:  Neurol Sci       Date:  2011-04-09       Impact factor: 3.307

4.  The Secondary Prevention of Small Subcortical Strokes (SPS3) study.

Authors:  Oscar R Benavente; Carole L White; Lesly Pearce; Pablo Pergola; Ana Roldan; Marie-France Benavente; Christopher Coffey; Leslie A McClure; Jeff M Szychowski; Robin Conwit; Patricia A Heberling; George Howard; Carlos Bazan; Gabriela Vidal-Pergola; Robert Talbert; Robert G Hart
Journal:  Int J Stroke       Date:  2011-01-26       Impact factor: 5.266

Review 5.  Amyloid-related imaging abnormalities in amyloid-modifying therapeutic trials: recommendations from the Alzheimer's Association Research Roundtable Workgroup.

Authors:  Reisa A Sperling; Clifford R Jack; Sandra E Black; Matthew P Frosch; Steven M Greenberg; Bradley T Hyman; Philip Scheltens; Maria C Carrillo; William Thies; Martin M Bednar; Ronald S Black; H Robert Brashear; Michael Grundman; Eric R Siemers; Howard H Feldman; Rachel J Schindler
Journal:  Alzheimers Dement       Date:  2011-07       Impact factor: 21.566

6.  Incident risk and progression of cerebral microbleeds in healthy adults: a multi-occasion longitudinal study.

Authors:  Ana M Daugherty; Naftali Raz
Journal:  Neurobiol Aging       Date:  2017-07-18       Impact factor: 4.673

7.  Cortical cerebral microinfarcts predict cognitive decline in memory clinic patients.

Authors:  Saima Hilal; Chuen Seng Tan; Susanne J van Veluw; Xin Xu; Henri Vrooman; Boon Y Tan; Narayanaswamy Venketasubramanian; Geert J Biessels; Christopher Chen
Journal:  J Cereb Blood Flow Metab       Date:  2019-03-19       Impact factor: 6.200

8.  Semiautomated detection of cerebral microbleeds in magnetic resonance images.

Authors:  Samuel R S Barnes; E Mark Haacke; Muhammad Ayaz; Alexander S Boikov; Wolff Kirsch; Dan Kido
Journal:  Magn Reson Imaging       Date:  2011-05-14       Impact factor: 2.546

Review 9.  Distribution of cerebral microbleeds in the East and West: Individual participant meta-analysis.

Authors:  Yusuke Yakushiji; Duncan Wilson; Gareth Ambler; Andreas Charidimou; Alexa Beiser; Mark A van Buchem; Charles DeCarli; Ding Ding; Villi Gudnason; Hideo Hara; Toshio Imaizumi; Katsuhiko Kohara; Hyung-Min Kwon; Lenore J Launer; Vincent Mok; Thanh Phan; Sarah R Preis; José Rafael Romero; Sudha Seshadri; Velandai Srikanth; Yuki Takashima; Yoshito Tsushima; Zhaolu Wang; Philip A Wolf; Yunyun Xiong; Shuhei Yamaguchi; David J Werring
Journal:  Neurology       Date:  2019-02-01       Impact factor: 9.910

10.  Correlation of hypointensities in susceptibility-weighted images to tissue histology in dementia patients with cerebral amyloid angiopathy: a postmortem MRI study.

Authors:  Matthew Schrag; Grant McAuley; Justine Pomakian; Arshad Jiffry; Spencer Tung; Claudius Mueller; Harry V Vinters; E Mark Haacke; Barbara Holshouser; Daniel Kido; Wolff M Kirsch
Journal:  Acta Neuropathol       Date:  2010-03       Impact factor: 17.088

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