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肺腺癌磨玻璃结节型与其他各亚型的高分辨率 CT 特征比较

HRCT features between lepidic-predominant type and other pathological subtypes in early-stage invasive pulmonary adenocarcinoma appearing as a ground-glass nodule.

机构信息

Department of Radiology, Fourth Medical Center of PLA General Hospital, 51 Fucheng Road, Beijing, 100048, China.

Department of Radiology, First Medical Center of PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.

出版信息

BMC Cancer. 2021 Oct 19;21(1):1124. doi: 10.1186/s12885-021-08821-5.

Abstract

BACKGROUND

Different pathological subtypes of invasive pulmonary adenocarcinoma (IPA) have different surgical methods and heterogeneous prognosis. It is essential to clarify IPA subtypes before operation and high-resolution computed tomography (HRCT) plays a very important role in this regard. We aimed to investigate the HRCT features of lepidic-predominant type and other pathological subtypes of early-stage (T1N0M0) IPA appearing as a ground-glass nodule (GGN).

METHODS

We performed a retrospective analysis on clinical data and HRCT features of 630 lesions in 589 patients with pathologically confirmed IPA (invasive foci > 5 mm) appearing as pure GGN (pGGN) and mixed GGN (mGGN) with consolidation-to-tumor ratio (CTR) ≤0.5 from January to December 2019. All GGNs were classified as lepidic-predominant adenocarcinoma (LPA) and nonlepidic-predominant adenocarcinoma (n-LPA) groups. Univariate analysis was performed to analyze the differences of clinical data and HRCT features between the LPA and n-LPA groups. Multivariate analysis was conducted to determine the variables to distinguish the LPA from n-LPA group independently. The diagnostic performance of different parameters was compared using receiver operating characteristic curves.

RESULTS

In total, 367 GGNs in the LPA group and 263 GGNs in the n-LPA group were identified. In the univariate analysis, the CTR, mean CT values, and mean diameters as well as mixed GGN, deep lobulation, spiculation, vascular change, bronchial change, and tumor-lung interface were smaller in the LPA group than in the n-LPA group (P <  0.05). Logistic regression model was reconstructed including the mean CT value, CTR, deep lobulation, spiculation, vascular change, and bronchial change (P <  0.05). Area under the curve of the logistic regression model for differentiating LPA and n-LPA was 0.840 (76.4% sensitivity, 78.7% specificity), which was significantly higher than that of the mean CT value or CTR.

CONCLUSIONS

Deep lobulation, spiculation, vascular change, and bronchial change, CT value > - 472.5 HU and CTR > 27.4% may indicate nonlepidic predominant invasive pulmonary adenocarcinoma in GGNs.

摘要

背景

不同的浸润性肺腺癌(IPA)病理亚型有不同的手术方法和异质性预后。在手术前明确 IPA 亚型至关重要,高分辨率计算机断层扫描(HRCT)在此方面发挥着非常重要的作用。我们旨在研究表现为磨玻璃结节(GGN)的早期(T1N0M0)浸润性肺腺癌中以贴壁生长为主型和其他病理亚型的 HRCT 特征。

方法

我们对 2019 年 1 月至 12 月期间经病理证实的浸润性病灶>5mm 的纯 GGN(pGGN)和混合性 GGN(mGGN),肿瘤与实性成分比值(CTR)≤0.5 的 589 例患者的 630 个病变的临床资料和 HRCT 特征进行回顾性分析。所有 GGN 均分为以贴壁生长为主型腺癌(LPA)和非以贴壁生长为主型腺癌(n-LPA)组。单因素分析比较 LPA 组和 n-LPA 组之间临床资料和 HRCT 特征的差异。多因素分析确定独立区分 LPA 和 n-LPA 组的变量。使用受试者工作特征曲线比较不同参数的诊断性能。

结果

共确定 367 个 LPA 组和 263 个 n-LPA 组的 GGN。单因素分析显示,LPA 组的 CTR、平均 CT 值、平均直径以及混合性 GGN、深分叶、棘突、血管改变、支气管改变和肿瘤-肺界面均小于 n-LPA 组(P<0.05)。包括平均 CT 值、CTR、深分叶、棘突、血管改变和支气管改变的逻辑回归模型(P<0.05)。用于区分 LPA 和 n-LPA 的逻辑回归模型的曲线下面积为 0.840(76.4%的敏感性,78.7%的特异性),明显高于平均 CT 值或 CTR。

结论

深分叶、棘突、血管改变和支气管改变、CT 值>-472.5HU 和 CTR>27.4%可能提示 GGN 中存在非贴壁生长为主型浸润性肺腺癌。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c90/8524968/a9234ed52951/12885_2021_8821_Fig1_HTML.jpg

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