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

• Verfasst von: Konietzke, Philip [VerfasserIn]
• Verfasst von: Weinheimer, Oliver [VerfasserIn]
• Verfasst von: Wagner, Willi Linus [VerfasserIn]
• Verfasst von: Wünnemann, Felix [VerfasserIn]
• Verfasst von: Hintze, Christian [VerfasserIn]
• Verfasst von: Biederer, Jürgen [VerfasserIn]
• Verfasst von: Heußel, Claus Peter [VerfasserIn]
• Verfasst von: Kauczor, Hans-Ulrich [VerfasserIn]
• Verfasst von: Wielpütz, Mark Oliver [VerfasserIn]
• 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
• DOI: doi:10.1371/journal.pone.0237939
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Algorithms
• Sach-SW: Aorta
• Sach-SW: Bronchi
• Sach-SW: Computed axial tomography
• Sach-SW: Computer software
• Sach-SW: Inferior vena cava
• Sach-SW: Pulmonary arteries
• Sach-SW: Recombinase polymerase amplification
• K10plus-PPN: 173622655X

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.