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

Philip Konietzke, Oliver Weinheimer, Willi L Wagner, Felix Wuennemann, Christian Hintze, Juergen Biederer, Claus P Heussel, Hans-Ulrich Kauczor and Mark O Wielpütz

PLOS ONE, 2020, vol. 15, issue 8, 1-14

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

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0237939

DOI: 10.1371/journal.pone.0237939

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