[利用非对比双能CT电子密度值鉴别孤立性肺结节良恶性]。

Ryohei Fujisaki, Masatsugu Kawano, Katsutoshi Shirieda, Takehiro Matsui, Masanori Komi, Yuichiro Sato, Ryo Maeda, Shigehisa Yanagi, Noriyuki Kuga, Yoshikazu Uchiyama, Minako Azuma
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引用次数: 0

摘要

目的:双能CT (DECT)的发展使得它不仅可以提供形态学特征,而且可以提供广泛的定量信息。本研究的目的是通过DECT获得的电子密度值来区分良性和恶性孤立性肺结节(SPN)。方法:从诊断为SPN的影像资料中,选取54例SPN的DECT影像,获取SPN的最大电子密度值。良性与恶性病例的电子密度值比较采用t检验。组织病理类型和组织亚型之间的比较采用方差分析。采用Logistic回归分析估计电子密度值的偏回归系数。结果:恶性SPN的电子密度值为3.56×1020/mm3,良性为3.51×1020/mm3,其中恶性更高(p)结论:双能CT的电子密度值可作为鉴别SPN良恶性的定量参数。然而,应注意某些组织学亚型,如侵袭性粘液腺癌,其可能表现出异常低的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Differentiation of Solitary Pulmonary Nodules from Benign to Malignant Using Non-contrast Dual Energy CT Electron Density Values].

Purpose: The development of dual energy CT (DECT) has made it possible to provide not only morphological characteristics but also a wide range of quantitative information. The purpose of this study is to differentiate between benign and malignant solitary pulmonary nodules (SPN) by using electron density values obtained from DECT.

Methods: From the image data diagnosed as SPN, DECT images of 54 cases were selected, and the maximum electron density values of SPN were obtained. Electron density values were compared between benign and malignant cases by t-test. Comparisons between histopathological types and histological subtypes were performed by ANOVA. Logistic regression analysis was also applied to estimate the partial regression coefficients on electron density values.

Results: Electron density values were 3.56×1020/mm3 for malignant and 3.51×1020/mm3 for benign, with malignancy being significantly higher (p<0.001). ROC analysis showed that the AUC was 0.77. In a comparison between histopathologic types, electron density values were significantly higher for adenocarcinoma and squamous cell carcinoma (p<0.05). There were no significant differences among subtypes. Logistic regression analysis showed a regression coefficient of 1.24 (p<0.01).

Conclusion: Electron density values obtained from dual energy CT may serve as a useful quantitative parameter for differentiating between benign and malignant SPN. However, attention should be paid to certain histological subtypes, such as invasive mucinous adenocarcinoma, which may exhibit exceptionally low values.

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