Quantitative CT-based image registration metrics provide different ventilation and lung motion patterns in prone and sup

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Quantitative CT-based image registration metrics provide different ventilation and lung motion patterns in prone and supine positions in healthy subjects Kyung Min Shin1†, Jiwoong Choi2,3†, Kum Ju Chae4, Gong Yong Jin4, Ali Eskandari5, Eric A. Hoffman5,6,7, Chase Hall2, Mario Castro2 and Chang Hyun Lee5,8*

Abstract Background: Previous studies suggested that the prone position (PP) improves oxygenation and reduces mortality among patients with acute respiratory distress syndrome (ARDS). However, the mechanism of this clinical benefit of PP is not completely understood. The aim of the present study was to quantitatively compare regional characteristics of lung functions in the PP with those in the supine position (SP) using inspiratory and expiratory computed tomography (CT) scans. Methods: Ninety subjects with normal pulmonary function and inspiration and expiration CT images were included in the study. Thirty-four subjects were scanned in PP, and 56 subjects were scanned in SP. Non-rigid image registration-based inspiratory-expiratory image matching assessment was used for regional lung function analysis. Tissue fractions (TF) were computed based on the CT density and compared on a lobar basis. Three registrationderived functional variables, relative regional air volume change (RRAVC), volumetric expansion ratio (J), and threedimensional relative regional displacement (s*) were used to evaluate regional ventilation and deformation characteristics. Results: J was greater in PP than in SP in the right middle lobe (P = 0 .025), and RRAVC was increased in the upper and right middle lobes (P < 0.001). The ratio of the TF on inspiratory and expiratory scans, J, and RRAVC at the upper lobes to those at the middle and lower lobes and that ratio at the upper and middle lobes to those at the lower lobes of were all near unity in PP, and significantly higher than those in SP (0.98–1.06 vs 0.61–0.94, P < 0.001). (Continued on next page)

* Correspondence: [email protected] † Kyung Min Shin and Jiwoong Choi contributed equally to this work. 5 Department of Radiology, University of Iowa, Iowa City, USA 8 Department of Radiology, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongnogu, Seoul 03080, South Korea Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use i