<div class="csl-bib-body">
<div class="csl-entry">Schreiner, M. M., Platzgummer, H., Unterhumer, S., Weber, M., Mistelbauer, G., Gröller, E., Loewe, C., & Schernthaner, R. E. (2017). Multipath Curved Planar Reformations of Peripheral CT Angiography: Diagnostic Accuracy and Time Efficiency. <i>CardioVascular and Interventional Radiology</i>, <i>41</i>(5), 718–725. https://doi.org/10.1007/s00270-017-1846-3</div>
</div>
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dc.identifier.issn
0174-1551
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/147253
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dc.description.abstract
Objectives To compare diagnostic performance and time efficiency between 3D multipath curved planar reformations (mpCPRs) and axial images of CT angiography for the pre-interventional assessment of peripheral arterial disease (PAD), with digital subtraction angiography as the standard of reference. Methods Forty patients (10 females, mean age 72 years), referred to CTA prior to endovascular treatment of PAD, were prospectively included and underwent peripheral CT angiography. A semiautomated toolbox was used to render mpCPRs. Twenty-one arterial segments were defined in each leg; for each segment, the presence of stenosis[70% was assessed on mpCPRs and axial images by two readers, independently, with digital subtraction angiography as gold standard. Results Both readers reached lower sensitivity (Reader 1: 91 vs. 94%, p = 0.08; Reader 2: 89 vs. 93%, p = 0.03) but significantly higher specificity (Reader 1: 94 vs. 89%, p\0.01; Reader 2: 96 vs. 95%, p = 0.01) with mpCPRs than with axial images. Reader 1 achieved significantly higher accuracy with mpCPRs (93 vs. 91%, p = 0.02), and Reader 2 had similar overall accuracy in both evaluations (94 vs. 94%, p = 0.96). Both readers read mpCPRs significantly faster than axial images (Reader 1: 504500 based on mpCPRs vs. 704000 based on axial images; Reader 2: 404100 based on mpCPRs vs. 605700 based on axial images; p\0.01). Conclusions mpCPRs are a promising 3D reformation technique that facilitates a fast assessment of PAD with high diagnostic accuracy.
en
dc.language.iso
en
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dc.publisher
SPRINGER
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dc.relation.ispartof
CardioVascular and Interventional Radiology
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dc.subject
Cardiology and Cardiovascular Medicine
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dc.subject
Radiology, Nuclear Medicine and imaging
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dc.subject
PAD
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dc.subject
CTA
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dc.subject
3D reformation
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dc.subject
mpCPRs
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dc.title
Multipath Curved Planar Reformations of Peripheral CT Angiography: Diagnostic Accuracy and Time Efficiency
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dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
718
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dc.description.endpage
725
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dc.type.category
Original Research Article
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tuw.container.volume
41
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tuw.container.issue
5
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.publication.invited
invited
-
tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
CardioVascular and Interventional Radiology
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tuw.publication.orgunit
E193-02 - Forschungsbereich Computer Graphics
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tuw.publisher.doi
10.1007/s00270-017-1846-3
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dc.identifier.eissn
1432-086X
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dc.description.numberOfPages
8
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tuw.author.orcid
0000-0003-1633-8674
-
tuw.author.orcid
0000-0002-0505-4919
-
tuw.author.orcid
0000-0002-8569-4149
-
wb.sci
true
-
wb.sciencebranch
Informatik
-
wb.sciencebranch.oefos
1020
-
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
de
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
en
wb.facultyfocus.faculty
E180
-
item.languageiso639-1
en
-
item.grantfulltext
restricted
-
item.cerifentitytype
Publications
-
item.openairetype
research article
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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item.fulltext
no Fulltext
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crisitem.author.dept
Medical University of Vienna
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crisitem.author.dept
Medical University of Vienna
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crisitem.author.dept
E186 - Institut für Computergraphik und Algorithmen
-
crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.orcid
0000-0003-1633-8674
-
crisitem.author.orcid
0000-0002-0505-4919
-
crisitem.author.orcid
0000-0002-8569-4149
-
crisitem.author.parentorg
E180 - Fakultät für Informatik
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology