通过薄层计算机断层扫描(CT)鉴别支气管腺瘤和周围型肺癌:一项双中心研究。

IF 2.9 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Quantitative Imaging in Medicine and Surgery Pub Date : 2024-10-01 Epub Date: 2024-08-19 DOI:10.21037/qims-24-687
Yang Tao, Ting-Wei Xiong, Qing-Shu Li, Shi-Hai Yang, Fa-Jin Lv, Zhi-Gang Chu
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引用次数: 0

摘要

背景:支气管腺瘤(BA)因与周围型肺癌(PLC)相似而经常被误诊为周围型肺癌(PLC)。计算机断层扫描(CT)检查是检测和诊断肺部疾病的有效工具。迄今为止,还没有基于大样本使用薄层计算机断层扫描(TSCT)对 BA 和 PLC 进行鉴别诊断的全面研究,CT 诊断 BA 的效率也尚未得到验证。本研究的目的是通过总结 BA 和 PLC 的临床和 TSCT 特征来区分它们:方法:对两个中心(重庆医科大学附属第一医院和陆军军医大学附属第二医院)的 71 例 BA 和 218 例 PLC 配对对照(2020 年 3 月至 2023 年 5 月)进行回顾性横断面研究,以探讨它们的临床和放射学差异。总结并比较了 BA 和 PLC 的临床特征和 TSCT 特征。进行多变量逻辑回归分析,以揭示预测 BAs 的关键因素:结果:BAs和PLCs的TSCT特征有显著差异。多变量分析显示,病灶位于基底段[几率比(OR),17.835;95% 置信区间(CI):6.977-45.588;PConclusions.]:位于下叶基底段、形状不规则、中心血管呈肺动脉征、周围血管呈肺静脉征、D-ETP ≤5 mm 但无棘突征的周围肺结节应高度怀疑为 BA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discriminating bronchiolar adenoma from peripheral lung cancer by thin-section computed tomography (CT): a 2-center study.

Background: Bronchiolar adenoma (BA) is frequently misdiagnosed as peripheral lung cancer (PLC) because it resembles PLC. Computed tomography (CT) examination is an effective tool for detecting and diagnosing lung diseases. To date, there has been no comprehensive study on the differential diagnosis of BAs and PLCs using thin-section computed tomography (TSCT) based on a large sample, and the efficiency of CT in diagnosing BAs has not been verified. The goal of this study was to distinguish BA from PLC by summarizing their clinical and TSCT characteristics.

Methods: A retrospective cross-sectional study on 71 cases with BAs and 218 matched controls with PLCs (from March 2020 to May 2023) within 2 centers (The First Affiliated Hospital of Chongqing Medical University and the Second Affiliated Hospital of Army Medical University) was conducted to investigate their clinical and radiological differences. The clinical characteristics and TSCT features of BAs and PLCs were summarized and compared. A multivariate logistic regression analysis was performed to reveal the key predictors of BAs.

Results: The BAs and PLCs exhibited significant differences in TSCT features. Multivariate analysis revealed that the lesion being located in basal segments [odds ratio (OR), 17.835; 95% confidence interval (CI): 6.977-45.588; P<0.001], irregular shape (OR, 4.765; 95% CI: 1.877-12.099; P=0.001), negative of spiculation sign (OR, 7.436; 95% CI: 2.063-26.809; P=0.002), central vessel sign with pulmonary artery (OR, 3.576; 95% CI: 1.557-8.211; P=0.003), peripheral vessel sign with pulmonary vein (OR, 12.444; 95% CI: 4.934-31.383; P<0.001), and distance from lesion edge to pleura (D-ETP) ≤5 mm (OR, 5.535; 95% CI: 2.346-13.057; P<0.001) were independent predictors of BAs, and the area under the curve (AUC) of this model was 0.935; 95% CI: 0.901-0.960 (sensitivity: 88.0%, specificity: 86.03%, P<0.001).

Conclusions: Peripheral pulmonary nodules locating in the basal segment of lower lobe with irregular shape, central vessel sign with pulmonary artery, peripheral vessel sign with pulmonary vein and D-ETP ≤5 mm, but without spiculation sign, should be highly suspected of BAs.

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来源期刊
Quantitative Imaging in Medicine and Surgery
Quantitative Imaging in Medicine and Surgery Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.20
自引率
17.90%
发文量
252
期刊介绍: Information not localized
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