Journal article
Robust quantification of CT-ventilation biomarker techniques and repeatability in a porcine model
Medical physics (Lancaster), Vol.50(10), pp.6366-6378
10/2023
DOI: 10.1002/mp.16400
PMCID: PMC10544701
PMID: 36999913
Abstract
Biomarkers estimating local lung ventilation have been derived from computed tomography (CT) imaging using various image acquisition and post-processing techniques. CT-ventilation biomarkers have potential clinical use in functional avoidance radiation therapy (RT), in which RT treatment plans are optimized to reduce dose delivered to highly-ventilated lung. Widespread clinical implementation of CT-ventilation biomarkers necessitates understanding of biomarker repeatability. Performing imaging within a highly controlled experimental design enables quantification of error associated with remaining variables.
To characterize CT-ventilation biomarker repeatability and dependence on image acquisition and post-processing methodology in anesthetized and mechanically ventilated pigs.
Five mechanically ventilated Wisconsin Miniature Swine (WMS) received multiple consecutive four-dimensional CT (4DCT) and maximum inhale and exhale breath-hold CT (BH-CT) scans on five dates to generate CT-ventilation biomarkers. Breathing maneuvers were controlled with an average tidal volume difference <200 cc. As surrogates for ventilation, multiple local expansion ratios (LERs) were calculated from the acquired CT scans using Jacobian-based post-processing techniques. LER
measured local expansion between an image pair using either inhale and exhale BH-CT images or two 4DCT breathing phase images. LER
measured the maximum local expansion across the 4DCT breathing phase images. Breathing maneuver consistency, intra- and inter-day biomarker repeatability, image acquisition and post-processing technique dependence were quantitatively analyzed.
Biomarkers showed strong agreement with voxel-wise Spearman correlation ρ > 0.9 for intra-day repeatability and ρ > 0.8 for all other comparisons, including between image acquisition techniques. Intra- and inter-day repeatability were significantly different (p<0.01). LER
and LER
post-processing did not significantly affect intra-day repeatability.
4DCT and BH-CT ventilation biomarkers derived from consecutive scans show strong agreement in controlled experiments with non-human subjects. This article is protected by copyright. All rights reserved.
Details
- Title: Subtitle
- Robust quantification of CT-ventilation biomarker techniques and repeatability in a porcine model
- Creators
- Mattison J Flakus - University of Wisconsin–MadisonAntonia E Wuschner - University of Wisconsin–MadisonEric M Wallat - University of Wisconsin–MadisonWei Shao - Department of Medicine, University of Florida, Gainesville, Florida, USAJen Meudt - University of Wisconsin–MadisonDhanansayan Shanmuganayagam - University of Wisconsin–MadisonGary E Christensen - University of IowaJoseph M Reinhardt - University of IowaJohn E Bayouth - Oregon Health & Science University
- Resource Type
- Journal article
- Publication Details
- Medical physics (Lancaster), Vol.50(10), pp.6366-6378
- DOI
- 10.1002/mp.16400
- PMID
- 36999913
- PMCID
- PMC10544701
- NLM abbreviation
- Med Phys
- eISSN
- 2473-4209
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: CA166703
- Language
- English
- Electronic publication date
- 03/31/2023
- Date published
- 10/2023
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center
- Record Identifier
- 9984381136802771
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