Interrater Reliability in the Measurement of Flow Characteristics on Color-Coded Quantitative DSA of Brain AVMs.
Journal
AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
09
05
2020
accepted:
05
08
2020
pubmed:
31
10
2020
medline:
9
3
2021
entrez:
30
10
2020
Statut:
ppublish
Résumé
Hemodynamic features of brain AVMs may portend increased hemorrhage risk. Previous studies have suggested that MTT is shorter in ruptured AVMs as assessed on quantitative color-coded parametric DSA. This study assesses the interrater reliability of MTT measurements obtained using quantitative color-coded DSA. Thirty-five color-coded parametric DSA images of 34 brain AVMs were analyzed by 4 neuroradiologists with experience in interventional neuroradiology. Hemodynamic features assessed included MTT of the AVM and TTP of the dominant feeding artery and draining vein. Agreement among the 4 raters was assessed using the intraclass correlation coefficient. The interrater reliability among the 4 raters was poor (intraclass correlation coefficient = 0.218; 95% CI, 0.062-0.414; Interrater reliability in deriving color-coded parametric DSA measurements such as MTT is poor so minor differences among raters may result in a large variance in MTT and TTP results, partly due to the sensitivity and 2D nature of the technique. Reliability can be improved by defining a standard projection, feeding artery, and draining vein for analysis.
Sections du résumé
BACKGROUND AND PURPOSE
Hemodynamic features of brain AVMs may portend increased hemorrhage risk. Previous studies have suggested that MTT is shorter in ruptured AVMs as assessed on quantitative color-coded parametric DSA. This study assesses the interrater reliability of MTT measurements obtained using quantitative color-coded DSA.
MATERIALS AND METHODS
Thirty-five color-coded parametric DSA images of 34 brain AVMs were analyzed by 4 neuroradiologists with experience in interventional neuroradiology. Hemodynamic features assessed included MTT of the AVM and TTP of the dominant feeding artery and draining vein. Agreement among the 4 raters was assessed using the intraclass correlation coefficient.
RESULTS
The interrater reliability among the 4 raters was poor (intraclass correlation coefficient = 0.218; 95% CI, 0.062-0.414;
CONCLUSIONS
Interrater reliability in deriving color-coded parametric DSA measurements such as MTT is poor so minor differences among raters may result in a large variance in MTT and TTP results, partly due to the sensitivity and 2D nature of the technique. Reliability can be improved by defining a standard projection, feeding artery, and draining vein for analysis.
Identifiants
pubmed: 33122213
pii: ajnr.A6846
doi: 10.3174/ajnr.A6846
pmc: PMC7963255
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
2303-2310Subventions
Organisme : NCATS NIH HHS
ID : U2C TR002818
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS099268
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS099628
Pays : United States
Organisme : NINDS NIH HHS
ID : U54 NS065705
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS034949
Pays : United States
Informations de copyright
© 2020 by American Journal of Neuroradiology.
Références
J Neurointerv Surg. 2016 Apr;8(4):407-12
pubmed: 25653228
J Neurosurg. 1996 Jul;85(1):29-32
pubmed: 8683279
AJNR Am J Neuroradiol. 2007 Mar;28(3):524-7
pubmed: 17353328
Lancet. 2014 Feb 15;383(9917):614-21
pubmed: 24268105
AJNR Am J Neuroradiol. 2011 Feb;32(2):264-70
pubmed: 21051508
Stroke. 2019 Jul;50(7):1703-1710
pubmed: 31167618
Stroke. 2001 Jun;32(6):1430-42
pubmed: 11387510
AJNR Am J Neuroradiol. 2010 May;31(5):919-24
pubmed: 20167651
Arterioscler Thromb Vasc Biol. 2020 Apr;40(4):e87-e104
pubmed: 32078368
Neurosurgery. 2016 Aug;63 Suppl 1:136-140
pubmed: 27399378
Stroke. 2017 Aug;48(8):e200-e224
pubmed: 28642352
AJNR Am J Neuroradiol. 2017 Jan;38(1):119-126
pubmed: 27686488
Childs Nerv Syst. 2019 Dec;35(12):2399-2403
pubmed: 31280353
J Neurosurg. 2019 Apr 26;132(5):1574-1582
pubmed: 31026828
AJNR Am J Neuroradiol. 2019 Dec;40(12):2124-2129
pubmed: 31672837
Stroke. 2015 Jul;46(7):1997-9
pubmed: 25991417
Cerebrovasc Dis. 2015;39(2):122-9
pubmed: 25660640
J Vasc Interv Radiol. 2018 Oct;29(10):1362-1368
pubmed: 30170947
J Neurointerv Surg. 2020 Sep;12(9):902-905
pubmed: 32188762
Stroke. 2017 Oct;48(10):2881-2884
pubmed: 28855391
J Neurosurg. 1985 Aug;63(2):180-4
pubmed: 4020440
J Neurosurg. 1999 Apr;90(4):673-9
pubmed: 10193612
Stroke. 2003 Oct;34(10):2410-4
pubmed: 12970520
World Neurosurg. 2017 Aug;104:619-627
pubmed: 28457930
AJNR Am J Neuroradiol. 2015 May;36(5):949-52
pubmed: 25634722
BMJ. 2009 Aug 17;339:b3016
pubmed: 19687093
Stroke. 2014 Jul;45(7):1964-70
pubmed: 24923721
Stroke. 2017 Apr;48(4):1088-1091
pubmed: 28235957
AJNR Am J Neuroradiol. 2017 Nov;38(11):2105-2110
pubmed: 28912279
Stroke. 2012 Nov;43(11):2910-5
pubmed: 23091120
J Neurosurg. 1988 Mar;68(3):352-7
pubmed: 3343606
J Am Heart Assoc. 2019 Jun 18;8(12):e012746
pubmed: 31170876
Stroke. 2014 Aug;45(8):2461-4
pubmed: 24984747
AJNR Am J Neuroradiol. 2019 Sep;40(9):1498-1504
pubmed: 31395664
Interv Neuroradiol. 2017 Dec;23(6):650-655
pubmed: 28764614
J Neurosurg. 1983 Mar;58(3):331-7
pubmed: 6827317
Neurosurgery. 1994 May;34(5):801-7; discussion 807-8
pubmed: 7914356