Semi-automated cerebral aneurysm segmentation and geometric analysis for WEB sizing utilizing a cloud-based computational platform.

Cloud Computing Humans Intracranial Aneurysm / diagnostic imaging Observer Variation Reproducibility of Results
WEB computation sizing

Journal

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
ISSN: 2385-2011
Titre abrégé: Interv Neuroradiol
Pays: United States
ID NLM: 9602695

Informations de publication

Date de publication:
Dec 2021
Historique:
pubmed: 8 4 2021
medline: 15 12 2021
entrez: 7 4 2021
Statut: ppublish

Résumé

Accurate aneurysm measurements are important for selecting the WEB device. The objective was to validate a cloud-based platform, SurgicalPreview (SP) against manual measurements for aneurysm analysis. Two sets of measurements each for SP and manual methods were obtained for 40 aneurysms. Reliability and agreement were assessed with intra-class correlation coefficient (ICC) and Bland-Altman plots respectively. Kappa coefficient was used to assess agreement for predicting WEB size. There was good reliability for repeat SP measurements: aneurysm diameter (ICC-1, 95%CI 0.98-1), height (ICC-1, 95%CI 0.99-1) and neck diameter (ICC-0.96, 95%CI 0.93-0.98). There was good reliability for the two manual diameter (ICC-0.97, 95%CI 0.9-0.97) and height (ICC-0.93, 95%CI 0.87-0.96) measurements and moderate for neck diameter (ICC-0.76, 95%CI 0.54-0.87). There was greater agreement for SP versus manual repeat measurements on Bland-Altman plots. Reliability between the SP and manual methods was good for aneurysm diameter (ICC-0.98, 95%CI 0.95-1) and height (ICC-0.96, 95%CI-0.93-0.98) and moderate for neck. (ICC-0.6, 95%CI -0.22-0.87). The Bland-Altman plots confirmed better agreement between the two methods for the aneurysm diameter and height than the neck. There was strong agreement between the methods for predicting the WEB diameter (Kappa-0.84, 95%CI 0.71-0.97) and moderate for predicting WEB height (Kappa-0.66, 95%CI 0.43-0.89). There was moderate agreement for predicted versus deployed WEB diameter: SP (Kappa-0.56, 95%CI 0.38-0.74), Manual (Kappa-0.53, 95%CI 0.34-0.71). The SurgicalPreview® had greater agreement for repeat measurements. There was good reliability between the two methods for predicting WEB diameter and height and moderate agreement between predicted versus deployed WEB diameter.

Sections du résumé

BACKGROUND BACKGROUND
Accurate aneurysm measurements are important for selecting the WEB device. The objective was to validate a cloud-based platform, SurgicalPreview (SP) against manual measurements for aneurysm analysis.
METHODS METHODS
Two sets of measurements each for SP and manual methods were obtained for 40 aneurysms. Reliability and agreement were assessed with intra-class correlation coefficient (ICC) and Bland-Altman plots respectively. Kappa coefficient was used to assess agreement for predicting WEB size.
RESULTS RESULTS
There was good reliability for repeat SP measurements: aneurysm diameter (ICC-1, 95%CI 0.98-1), height (ICC-1, 95%CI 0.99-1) and neck diameter (ICC-0.96, 95%CI 0.93-0.98). There was good reliability for the two manual diameter (ICC-0.97, 95%CI 0.9-0.97) and height (ICC-0.93, 95%CI 0.87-0.96) measurements and moderate for neck diameter (ICC-0.76, 95%CI 0.54-0.87). There was greater agreement for SP versus manual repeat measurements on Bland-Altman plots. Reliability between the SP and manual methods was good for aneurysm diameter (ICC-0.98, 95%CI 0.95-1) and height (ICC-0.96, 95%CI-0.93-0.98) and moderate for neck. (ICC-0.6, 95%CI -0.22-0.87). The Bland-Altman plots confirmed better agreement between the two methods for the aneurysm diameter and height than the neck. There was strong agreement between the methods for predicting the WEB diameter (Kappa-0.84, 95%CI 0.71-0.97) and moderate for predicting WEB height (Kappa-0.66, 95%CI 0.43-0.89). There was moderate agreement for predicted versus deployed WEB diameter: SP (Kappa-0.56, 95%CI 0.38-0.74), Manual (Kappa-0.53, 95%CI 0.34-0.71).
CONCLUSION CONCLUSIONS
The SurgicalPreview® had greater agreement for repeat measurements. There was good reliability between the two methods for predicting WEB diameter and height and moderate agreement between predicted versus deployed WEB diameter.

Identifiants

DOI: 10.1177/15910199211009111 PMID: 33823619 PMC: PMC8673900
pubmed: 33823619
doi: 10.1177/15910199211009111
pmc: PMC8673900
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

828-836

Références

AJNR Am J Neuroradiol. 2019 Oct;40(10):1773-1778
pubmed: 31537514
Interv Neuroradiol. 2021 Aug;27(4):465-472
pubmed: 33076746
Neurosurgery. 2016 Jan;78(1):133-41
pubmed: 26552042
J Neurointerv Surg. 2013 Jul;5(4):371-5
pubmed: 22490430
J Neurointerv Surg. 2013 Nov;5(6):597-600
pubmed: 23178224
J Neurointerv Surg. 2018 May;10(5):500-504
pubmed: 28814528
Med Image Anal. 2006 Feb;10(1):2-18
pubmed: 15893953
AJNR Am J Neuroradiol. 2019 Mar;40(3):524-530
pubmed: 30733254
Biomed Eng Online. 2016 Nov 8;15(1):120
pubmed: 27825346
Clin Neuroradiol. 2021 Mar;31(1):147-154
pubmed: 31993679
J Neurointerv Surg. 2019 Sep;11(9):924-930
pubmed: 30992395
AJNR Am J Neuroradiol. 2019 Oct;40(10):1759-1765
pubmed: 31558504
Neuroradiology. 2016 Sep;58(9):887-91
pubmed: 27312475
Neurosurgery. 2015 May;76(5):522-30;discussion 530
pubmed: 25710103
J Neurointerv Surg. 2020 Oct;12(10):968-973
pubmed: 32111727
J Neurosurg. 2015 Oct;123(4):832-40
pubmed: 26090829
AJNR Am J Neuroradiol. 2016 Dec;37(12):2287-2292
pubmed: 27516237
J Neurointerv Surg. 2021 Oct;13(10):924-929
pubmed: 33361275

Auteurs

Ansaar T Rai (AT)

Interventional Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University School of Medicine, Morgantown, WV, USA.
ORCID: 0000-0001-9864-4805

Ryan G Brotman (RG)

Neuroradiology, West Virginia University School of Medicine, Morgantown, WV, USA.

Gerald R Hobbs (GR)

Statistics, West Virginia University School of Medicine, Morgantown, WV, USA.

SoHyun Boo (S)

Interventional Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University School of Medicine, Morgantown, WV, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female

Evaluation of Low-Value Services Across Major Medicare Advantage Insurers and Traditional Medicare.

Ciara Duggan, Adam L Beckman, Ishani Ganguli et al.
1.00
Humans United States Aged Cross-Sectional Studies Medicare Part C

Effectiveness of Virtual Yoga for Chronic Low Back Pain: A Randomized Clinical Trial.

Hallie Tankha, Devyn Gaskins, Amanda Shallcross et al.
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Informatique en nuage › Semi-automated cerebral aneurysm segmentation...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Semi-automated cerebral aneurysm segmentation...
questionsmedicales.fr › Maladies cardiovasculaires › Maladies vasculaires › Angiopathies intracrâniennes › Artériopathies intracrâniennes › Anévrysme intracrânien › Semi-automated cerebral aneurysm segmentation...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Facteurs épidémiologiques › Biais (épidémiologie) › Biais de l'observateur › Semi-automated cerebral aneurysm segmentation...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Reproductibilité des résultats › Semi-automated cerebral aneurysm segmentation...