静态计算机断层扫描的呼吸不变纹理用于解释肺功能特征。

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Journal of Thoracic Imaging Pub Date : 2023-09-01 Epub Date: 2023-05-29 DOI:10.1097/RTI.0000000000000717
Yu-Hua Huang, Xinzhi Teng, Jiang Zhang, Zhi Chen, Zongrui Ma, Ge Ren, Feng-Ming Spring Kong, Hong Ge, Jing Cai
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引用次数: 0

摘要

目的:独立于呼吸动作的肺组织的固有特征可以为功能评估提供基本信息。本文试图将计算机断层扫描(CT)的纹理特征与肺功能测量相关联。材料和方法:收集20例癌症患者的胸部4维CT、DTPA-星形光子发射CT通气(VNM)扫描和可用的肺活量测量(1秒用力呼气量,FEV1;用力肺活量,FVC;和FEV1/FVC)。在次区域特征发现中,根据统计强度从79个放射学特征中识别出功能相关的候选者,以区分有缺陷/无缺陷的肺部区域。在4维CT相位上生成所选候选者的特征图(FM),用于体素特征分布研究。应用定量指标进行验证,包括用于FM-VNM空间一致性评估的Spearman相关系数(SCC)和Dice相似系数,用于FM间期稳健性评估的组内相关系数,以及FM肺活量测定法比较。结果:在子区域水平上,识别出8个功能相关特征(效应大小>0.330)。候选的FMs与参考VNM产生中等到强烈的体素相关性。灰度依赖性矩阵依赖性非均匀性的FMs表现出最高的稳健性(组内相关系数=0.96和P结论:该结果进一步深入了解了特定肺部纹理与局部(VNM)和全局(FEV1/FVC,FEV1)功能的潜在关联。在进行临床相关研究之前,有必要进一步验证FM的可推广性和实施方案的标准化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Respiratory Invariant Textures From Static Computed Tomography Scans for Explainable Lung Function Characterization.

Purpose: The inherent characteristics of lung tissue independent of breathing maneuvers may provide fundamental information for function assessment. This paper attempted to correlate textural signatures from computed tomography (CT) with pulmonary function measurements.

Materials and methods: Twenty-one lung cancer patients with thoracic 4-dimensional CT, DTPA-single-photon emission CT ventilation ( VNM ) scans, and available spirometry measurements (forced expiratory volume in 1 s, FEV 1 ; forced vital capacity, FVC; and FEV 1 /FVC) were collected. In subregional feature discovery, function-correlated candidates were identified from 79 radiomic features based on the statistical strength to differentiate defected/nondefected lung regions. Feature maps (FMs) of selected candidates were generated on 4-dimensional CT phases for a voxel-wise feature distribution study. Quantitative metrics were applied for validations, including the Spearman correlation coefficient (SCC) and the Dice similarity coefficient for FM- VNM spatial agreement assessments, intraclass correlation coefficient for FM interphase robustness evaluations, and FM-spirometry comparisons.

Results: At the subregion level, 8 function-correlated features were identified (effect size>0.330). The FMs of candidates yielded moderate-to-strong voxel-wise correlations with the reference VNM . The FMs of gray level dependence matrix dependence nonuniformity showed the highest robust (intraclass correlation coefficient=0.96 and P <0.0001) spatial correlation, with median SCCs ranging from 0.54 to 0.59 throughout the 10 breathing phases. Its phase-averaged FM achieved a median SCC of 0.60, a median Dice similarity coefficient of 0.60 (0.65) for high (low) functional lung volumes, and a correlation of 0.565 (0.646) between the spatially averaged feature values and FEV 1 (FEV 1 /FVC).

Conclusions: The results provide further insight into the underlying association of specific pulmonary textures with both local ( VNM ) and global (FEV 1 /FVC, FEV 1 ) functions. Further validations of the FM generalizability and the standardization of implementation protocols are warranted before clinically relevant investigations.

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来源期刊
Journal of Thoracic Imaging
Journal of Thoracic Imaging 医学-核医学
CiteScore
7.10
自引率
9.10%
发文量
87
审稿时长
6-12 weeks
期刊介绍: Journal of Thoracic Imaging (JTI) provides authoritative information on all aspects of the use of imaging techniques in the diagnosis of cardiac and pulmonary diseases. Original articles and analytical reviews published in this timely journal provide the very latest thinking of leading experts concerning the use of chest radiography, computed tomography, magnetic resonance imaging, positron emission tomography, ultrasound, and all other promising imaging techniques in cardiopulmonary radiology. Official Journal of the Society of Thoracic Radiology: Japanese Society of Thoracic Radiology Korean Society of Thoracic Radiology European Society of Thoracic Imaging.
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