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在猪模型中稳健地定量 CT 通气生物标志物技术和重复性。

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

机构信息

Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Department of Medicine, University of Florida, Gainesville, Florida, USA.

出版信息

Med Phys. 2023 Oct;50(10):6366-6378. doi: 10.1002/mp.16400. Epub 2023 Apr 7.

Abstract

BACKGROUND

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.

PURPOSE

To characterize CT-ventilation biomarker repeatability and dependence on image acquisition and post-processing methodology in anesthetized and mechanically ventilated pigs.

METHODS

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. 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.

RESULTS

Biomarkers 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). LER and LER post-processing did not significantly affect intraday repeatability.

CONCLUSIONS

4DCT and BH-CT ventilation biomarkers derived from consecutive scans show strong agreement in controlled experiments with nonhuman subjects.

摘要

背景

使用各种图像采集和后处理技术,从计算机断层扫描(CT)图像中得出了估计局部肺通气的生物标志物。CT 通气生物标志物在功能避免放射治疗(RT)中有潜在的临床应用,其中 RT 治疗计划被优化以减少输送到高通气肺的剂量。CT 通气生物标志物的广泛临床应用需要了解生物标志物的可重复性。在高度受控的实验设计中进行成像可以量化与剩余变量相关的误差。

目的

在麻醉和机械通气的猪中,描述 CT 通气生物标志物的可重复性及其对图像采集和后处理方法的依赖性。

方法

五头机械通气的威斯康星州微型猪(WMS)在五个日期接受多次连续的 4 维 CT(4DCT)和最大吸气和呼气屏气 CT(BH-CT)扫描,以生成 CT 通气生物标志物。呼吸运动通过平均潮气量差异<200cc 来控制。使用基于雅可比的后处理技术,从采集的 CT 扫描中计算出多个局部扩展比(LER)作为通气的替代物。 使用 BH-CT 吸气和呼气图像或两个 4DCT 呼吸相图像之间的图像对测量局部扩展。在 4DCT 呼吸相图像中测量最大局部扩展。定量分析呼吸运动一致性、日内和日间生物标志物可重复性、图像采集和后处理技术依赖性。

结果

生物标志物与体素内 Spearman 相关性具有很强的一致性,用于日内重复性,并且用于所有其他比较,包括图像采集技术之间的比较。日内和日间重复性有显著差异(p<0.01)。LER 和 LER 后处理对日内重复性没有显著影响。

结论

在非人类研究对象的对照实验中,从连续扫描中得出的 4DCT 和 BH-CT 通气生物标志物显示出很强的一致性。

相似文献

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Quantifying robustness of CT-ventilation biomarkers to image noise.量化CT通气生物标志物对图像噪声的稳健性。
Front Physiol. 2023 Feb 14;14:1040028. doi: 10.3389/fphys.2023.1040028. eCollection 2023.

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