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CT 扫描采用 0.25 毫米层厚和 2048 矩阵:高空间分辨率成像预测侵袭性。

Lung Adenocarcinoma at CT with 0.25-mm Section Thickness and a 2048 Matrix: High-Spatial-Resolution Imaging for Predicting Invasiveness.

机构信息

From the Department of Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita-city, Osaka 565-0871, Japan (M.Y., M.T., Y.S., A.H., T.M., Y.Y., N.K., N.T.); and Department of Medical Innovation, Osaka University, Suita-city, Osaka, Japan (H.K.).

出版信息

Radiology. 2020 Nov;297(2):462-471. doi: 10.1148/radiol.2020201911. Epub 2020 Sep 8.

DOI:10.1148/radiol.2020201911
PMID:32897161
Abstract

Background High-spatial-resolution (HSR) CT provides detailed information and clear delineation of lung anatomy and disease states. HSR CT may have high diagnostic performance for predicting invasiveness of lung adenocarcinoma. Purpose To examine the diagnostic performance of HSR CT in predicting the invasiveness of lung adenocarcinoma. Materials and Methods In this retrospective study, 89 consecutive patients with adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), or invasive adenocarcinoma (IVA) were included who underwent surgery for lung cancer between January 2018 and December 2019. All patients underwent HSR CT with 0.25-mm section thickness and a 2048 matrix. Two independent observers evaluated the images for the presence or absence of the following HSR CT findings: lobulation, spiculation, pleural indentation, vessel convergence, homogeneity of ground-glass opacity, reticulation, irregularity and centrality of solid portion, and air bronchiologram (irregularity, disruption, or dilatation). The total diameter (≤1.6 cm or >1.6 cm) and the longest diameter of the solid portion (≤0.8 cm or >0.8 cm) were evaluated. Logistic regression models were used to identify findings associated with MIA plus IVA. Receiver operating characteristic analysis was performed to determine diagnostic performance. Results Eighty-nine patients (mean, 69 years ± 11 [standard deviation]; 49 men) were evaluated. The size of the nodules with invasion was a mean of 2.5 cm ± 1.2. Univariable analysis revealed lobulation, spiculation, pleural indentation, irregular and central solid portion, air bronchiologram with disruption and/or irregular dilatation, and total and solid portion diameters as associated with MIA plus IVA (all, < .05). After adjustment for age, sex, and pack-years of smoking, disruption of air bronchogram and solid portion diameter greater than 0.8 cm remained as predictors of invasiveness ( = .001 and = .02, respectively). The diagnostic performance of these two findings combined were as follows: sensitivity of 97% (59 of 61 patients; 95% confidence interval: 94%, 100%) and specificity of 86% (19 of 22 patients; 95% confidence interval: 65%, 97%), with an area under the curve of 0.94. Conclusion Using high-spatial-resolution CT, disruption of air bronchiologram and a solid portion greater than 0.8 cm were independently associated with a greater likelihood of invasiveness in lung adenocarcinoma. © RSNA, 2020 See also the editorial by Lynch and Oh in this issue.

摘要

背景 高空间分辨率(HSR)CT 可提供详细的肺部解剖结构和疾病状态信息,并能清晰地勾画病变。HSR CT 可能具有较高的诊断性能,有助于预测肺腺癌的侵袭性。

目的 探讨 HSR CT 预测肺腺癌侵袭性的诊断性能。

材料与方法 本回顾性研究纳入了 2018 年 1 月至 2019 年 12 月间因肺癌行手术治疗的 89 例原位腺癌(AIS)、微浸润腺癌(MIA)和浸润性腺癌(IVA)患者。所有患者均接受 HSR CT 检查,管电压 120 kV,层厚 0.25 mm,矩阵 2048。由 2 名独立观察者评估图像中是否存在以下 HSR CT 表现:分叶征、毛刺征、胸膜凹陷征、血管集束征、磨玻璃密度影均匀性、网格征、实性部分的不规则性和中央性、空气支气管征(不规则、中断或扩张)。评估总的直径(≤1.6 cm 或 >1.6 cm)和实性部分最长直径(≤0.8 cm 或 >0.8 cm)。采用 logistic 回归模型识别与 MIA 加 IVA 相关的表现。采用受试者工作特征(ROC)曲线分析评估诊断性能。

结果 共 89 例患者(平均年龄 69 岁±11[标准差];49 例男性)纳入研究。有侵袭性的结节大小平均为 2.5 cm±1.2 cm。单变量分析显示,分叶征、毛刺征、胸膜凹陷征、不规则和中央性实性部分、空气支气管征中断和/或不规则扩张,以及总直径和实性部分直径与 MIA 加 IVA 相关(均 <.05)。在校正年龄、性别和吸烟包年数后,空气支气管征中断和实性部分直径大于 0.8 cm 仍然是侵袭性的预测因素(均为 P =.001 和 P =.02)。这两个发现联合的诊断性能如下:敏感性为 97%(61 例患者中的 59 例;95%置信区间:94%,100%),特异性为 86%(22 例患者中的 19 例;95%置信区间:65%,97%),曲线下面积为 0.94。

结论 采用 HSR CT,空气支气管征中断和实性部分直径大于 0.8 cm 与肺腺癌侵袭性的可能性增加独立相关。

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