Robust quantification of CT‐ventilation biomarker techniques and repeatability in a porcine model

Author:

Flakus Mattison J.1,Wuschner Antonia E.1,Wallat Eric M.1,Shao Wei2,Meudt Jen3,Shanmuganayagam Dhanansayan34,Christensen Gary E.56,Reinhardt Joseph M.7,Bayouth John E.8

Affiliation:

1. Department of Medical Physics University of Wisconsin—Madison Madison Wisconsin USA

2. Department of Medicine University of Florida Gainesville Florida USA

3. Department of Animal and Dairy Sciences University of Wisconsin—Madison Madison Wisconsin USA

4. Department of Surgery University of Wisconsin—Madison Madison Wisconsin USA

5. Department of Electrical and Computer Engineering University of Iowa Iowa City Iowa USA

6. Department of Radiation Oncology University of Iowa Iowa City Iowa USA

7. Roy J. Carver Department of Biomedical Engineering University of Iowa Iowa City Iowa USA

8. Department of Radiation Medicine Oregon Health Sciences University Portland Oregon USA

Abstract

AbstractBackgroundBiomarkers 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.PurposeTo characterize CT‐ventilation biomarker repeatability and dependence on image acquisition and post‐processing methodology in anesthetized and mechanically ventilated pigs.MethodsFive 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. measured local expansion between an image pair using either inhale and exhale BH‐CT images or two 4DCT breathing phase images. measured the maximum local expansion across the 4DCT breathing phase images. Breathing maneuver consistency, intra‐ and interday biomarker repeatability, image acquisition and post‐processing technique dependence were quantitatively analyzed.ResultsBiomarkers showed strong agreement with voxel‐wise Spearman correlation for intraday repeatability and for all other comparisons, including between image acquisition techniques. Intra‐ and interday repeatability were significantly different (p < 0.01). LER2 and LERN post‐processing did not significantly affect intraday repeatability.Conclusions4DCT and BH‐CT ventilation biomarkers derived from consecutive scans show strong agreement in controlled experiments with nonhuman subjects.

Funder

National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3