Texture analysis of chest X-ray images for the diagnosis of COVID-19 pneumonia.

Polish journal of radiology Pub Date : 2024-01-25 eCollection Date: 2024-01-01 DOI:10.5114/pjr.2024.134818

Waldemar Leszczyński, Wojciech Kazimierczak, Adam Lemanowicz, Zbigniew Serafin

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引用次数: 0

Abstract

Purpose: Medical imaging is one of the main methods of diagnosing COVID-19, along with real-time reverse trans-cription-polymerase chain reaction (RT-PCR) tests. The purpose of the study was to analyse the texture parameters of chest X-rays (CXR) of patients suspected of having COVID-19.

Material and methods: Texture parameters of the CXRs of 70 patients with symptoms typical of COVID-19 infection were analysed using LIFEx software. The regions of interest (ROIs) included each lung separately, for which 57 para-meters were tested. The control group consisted of 30 healthy, age-matched patients with no pathological findings in CXRs.

Results: According to the ROC analysis, 13 of the tested parameters differentiate the radiological image of lungs with COVID-19 features from the image of healthy lungs: GLRLM_LRHGE (AUC 0.91); DISCRETIZED_Q3 (AUC 0.90); GLZLM_HGZE (AUC 0.90); GLRLM_HGRE (AUC 0.89); DISCRETIZED_mean (AUC 0.89); DISCRETIZED_Q2 (AUC 0.61); GLRLM_SRHGE (AUC 0.87); GLZLM_LZHGE (AUC 0.87); GLZLM_SZHGE (AUC 0.84); DISCRETIZED_Q1 (AUC 0.81); NGLDM_Coarseness (AUC 0.70); DISCRETIZED_std (AUC 0.64); CONVENTIONAL_Q2 (AUC 0.61).

Conclusions: Selected texture parameters of radiological CXRs make it possible to distinguish COVID-19 features from healthy ones.

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用于诊断 COVID-19 肺炎的胸部 X 光图像纹理分析。

目的：医学成像与实时反转录聚合酶链反应（RT-PCR）检测是诊断 COVID-19 的主要方法之一。本研究旨在分析疑似 COVID-19 患者胸部 X 光片（CXR）的纹理参数：使用 LIFEx 软件分析了 70 名具有 COVID-19 感染典型症状的患者的 CXR 纹理参数。感兴趣区（ROI）包括每个肺部，共测试了 57 段米。对照组由 30 名健康、年龄匹配、CXR 无病理结果的患者组成：结果：根据 ROC 分析，13 个测试参数可将具有 COVID-19 特征的肺部放射图像与健康肺部图像区分开来：GLRLM_LRHGE（AUC 0.91）；DISCRETIZED_Q3（AUC 0.90）；GLZLM_HGZE（AUC 0.90）；GLRLM_HGRE（AUC 0.89）；DISCRETIZED_mean（AUC 0.89）；DISCRETIZED_Q2（AUC 0.61）；GLRLM_SRHGE（AUC 0.87）；GLZLM_LZHGE（AUC 0.87）；GLZLM_SZHGE（AUC 0.84）；DISCRETIZED_Q1（AUC 0.81）；NGLDM_Coarseness（AUC 0.70）；DISCRETIZED_std（AUC 0.64）；CONVENTIONAL_Q2（AUC 0.61）.结论：结论：放射学 CXR 图像的部分纹理参数可将 COVID-19 特征与健康特征区分开来。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Polish journal of radiology

CiteScore

2.10

自引率

0.00%

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