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Verfasst von:Konietzke, Philip [VerfasserIn]   i
 Weinheimer, Oliver [VerfasserIn]   i
 Wagner, Willi Linus [VerfasserIn]   i
 Wünnemann, Felix [VerfasserIn]   i
 Hintze, Christian [VerfasserIn]   i
 Biederer, Jürgen [VerfasserIn]   i
 Heußel, Claus Peter [VerfasserIn]   i
 Kauczor, Hans-Ulrich [VerfasserIn]   i
 Wielpütz, Mark Oliver [VerfasserIn]   i
Titel:Optimizing airway wall segmentation and quantification by reducing the influence of adjacent vessels and intravascular contrast material with a modified integral-based algorithm in quantitative computed tomography
Verf.angabe:Philip Konietzke, Oliver Weinheimer, Willi L. Wagner, Felix Wuennemann, Christian Hintze, Juergen Biederer, Claus P. Heussel, Hans-Ulrich Kauczor, Mark O. Wielpütz
E-Jahr:2020
Jahr:August 19, 2020
Umfang:14 S.
Fussnoten:Gesehen am 22.10.2020
Titel Quelle:Enthalten in: PLOS ONE
Ort Quelle:San Francisco, California, US : PLOS, 2006
Jahr Quelle:2020
Band/Heft Quelle:15(2020,8) Artikel-Nummer e0237939, 14 Seiten
ISSN Quelle:1932-6203
Abstract:Introduction Quantitative analysis of multi-detector computed tomography (MDCT) plays an increasingly important role in assessing airway disease. Depending on the algorithms used, airway dimensions may be over- or underestimated, primarily if contrast material was used. Therefore, we tested a modified integral-based method (IBM) to address this problem. Methods Temporally resolved cine-MDCT was performed in seven ventilated pigs in breath-hold during iodinated contrast material (CM) infusion over 60s. Identical slices in non-enhanced (NE), pulmonary-arterial (PA), systemic-arterial (SA), and venous phase (VE) were subjected to an in-house software using a standard and a modified IBM. Total diameter (TD), lumen area (LA), wall area (WA), and wall thickness (WT) were measured for ten extra- and six intrapulmonary airways. Results The modified IBM significantly reduced TD by 7.6%, LA by 12.7%, WA by 9.7%, and WT by 3.9% compared to standard IBM on non-enhanced CT (p<0.05). Using standard IBM, CM led to a decrease of all airway parameters compared to NE. For example, LA decreased from 80.85±49.26mm2 at NE, to 75.14±47.96mm2 (-7.1%) at PA (p<0.001), 74.96±48.55mm2 (-7.3%) at SA (p<0.001), and to 78.95±48.94mm2 (-2.4%) at VE (p = 0.200). Using modified IBM, the differences were reduced to -3.1% at PA, -2.9% at SA and -0.7% at VE (p<0.001; p<0.001; p = 1.000). Conclusions The modified IBM can optimize airway wall segmentation and reduce the influence of CM on quantitative CT. This allows a more precise measurement as well as potentially the comparison of enhanced with non-enhanced scans in inflammatory airway disease.
DOI:doi:10.1371/journal.pone.0237939
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1371/journal.pone.0237939
 Volltext: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0237939
 DOI: https://doi.org/10.1371/journal.pone.0237939
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Algorithms
 Aorta
 Bronchi
 Computed axial tomography
 Computer software
 Inferior vena cava
 Pulmonary arteries
 Recombinase polymerase amplification
K10plus-PPN:173622655X
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