[18F]-FDG PET/CT表现与肺腺癌毛玻璃样混浊病理亚型的相关性

H Ji, S Jiang, C Sun, T Liu, G Yang, L Zhang, J Sun, J Wu
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引用次数: 0

摘要

目的:本研究的目的是分析[18F]-FDG PET/CT(正电子发射断层扫描/计算机断层扫描)表现与肺腺癌磨玻璃混浊(GGO)病理亚型的相关性。材料与方法:本研究纳入88例患者,经[18F]-FDG PET/CT检查,最终诊断为肺腺癌。共分析90例GGO病变。测量所有病变的大小和SUVmax,计算病变中GGO固体成分的比例,并进行定量分类。根据2011 IASLC/ATS/ERS肺腺癌病理分类将上述GGO病变分为预后良好组、预后较好组和预后较差组。统计学分析采用卡方检验、独立样本t检验和方差分析。结果:SUVmax与定量分类值(r = -0.638, P max)、定量分类值(F = 3.849, P = 0.019;F = 27.420, P max,预后良好组、预后较好组、预后较差组的定量分类值(F = 5.626, P = 0.011;结论:GGO病变大小、SUVmax及定量分级值与不同病理亚型相关,可用于评价肺腺癌GGO的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation between [18F]-FDG PET/CT findings and pathological subtypes of lung adenocarcinoma presenting as ground-glass opacity.

Objective: The aim of this study is to analyze the correlation between [18F]-FDG PET/CT (positron emission tomography/computed tomography) findings and pathological subtypes of lung adenocarcinoma with ground-glass opacity (GGO).

Materials and methods: 88 patients were included in this study, which underwent [18F]-FDG PET/CT and were finally diagnosed with lung adenocarcinoma. A total of 90 GGO lesions were analyzed. The size and SUVmax of all lesions were measured, the proportion of solid components of GGO in lesions was calculated, and quantitative classification was performed. The above GGO lesions were divided into three groups based on the 2011 IASLC/ATS/ERS lung adenocarcinoma pathological classification, namely good prognosis group, relatively good prognosis group and poor prognosis group. Chi-square test, independent sample t test, and analysis of variance were used for statistical analysis.

Results: There was a negative correlation between the SUVmax and quantitative classification value (r = -0.638, P < 0.001). Atypical adenomatous hyperplasia (AAH), acinar predominant adenocarcinoma (APA), lepidic predominant adenocarcinoma (LPA), papillary predominant adenocarcinoma (PPA), and solid predominant adenocarcinoma (SPA) had significant differences in GGO lesion size, SUVmax, and quantitative classification value (F = 3.849, P = 0.019; F = 27.420, P < 0.001; F = 4.353, P = 0.002). There were significant differences in GGO lesion size, SUVmax, and quantitative classification value among the good prognosis group, relatively good prognosis group, and poor prognosis group (F = 5.626, P = 0.011; F = 37.587, P < 0.001; F = 5.119, P = 0.008).

Conclusion: GGO lesion size, SUVmax, and quantitative classification value are correlated with different pathological subtypes and can be used toevaluate the prognosis of lung adenocarcinoma with GGO.

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