Value of the Air Bronchogram Sign and Other Computed Tomography Findings in the Early Diagnosis of Lung Adenocarcinoma.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Computer Assisted Tomography Pub Date : 2024-09-01 Epub Date: 2024-03-07 DOI:10.1097/RCT.0000000000001604
Jia-Chang Liu, Jun Sheng, Song Xue, Ming Fang, Juan Huang, Zhong-Zhong Chen, Rui-Kai Wang, Mei Han
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Abstract

Objectives: The present study aims to explore the application value of the air bronchogram (AB) sign and other computed tomography (CT) signs in the early diagnosis of lung adenocarcinoma (LUAD).

Method: The pathological information and CT images of 130 patients diagnosed with N 0 and M 0 solitary pulmonary nodules (diameter ≤3 cm) and treated with surgical resection in our hospital between June 2021 and June 2022 were analyzed.

Results: The patients were divided into the benign pulmonary nodule (BPN) group (14 cases), the AIS group (30 cases), the MIA group (10 cases), and the IAC group (76 cases). Among the 116 patients with AIS and LUAD, 96 showed an AB sign. Among the 14 patients with BPN, only 4 patients showed an AB sign. The average CT value and maximum diameter were significantly higher in the IAC group than in the AIS and MIA groups. In the BPN group, 5 patients had an average CT value of >80 HU. Among all LUAD-based groups, there was only 1 patient with a CT value of >60 HU.

Conclusions: The identification of the AB sign based on CT imaging facilitates the differentiation between benign and malignant nodules. The CT value and maximum diameter of pulmonary adenocarcinoma nodules increase with the increase of the malignancy degree. The nodule type, CT value, and maximum diameter are useful for predicting the pathological type and prognosis. If the average CT value of pulmonary nodules is >80 HU, LUAD may be excluded.

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气管图征和其他计算机断层扫描结果在早期诊断肺腺癌中的价值。
研究目的方法:选取2021年6月至2022年6月在我院确诊为N0、M0单发肺结节(直径≤3 cm)并行手术切除治疗的130例患者的病理资料及CT图像,探讨气管图征(AB)及其他CT征象在肺腺癌早期诊断中的应用价值:方法:分析2021年6月至2022年6月在我院确诊为N0和M0单发肺结节(直径≤3 cm)并接受手术切除治疗的130例患者的病理资料和CT图像:患者分为良性肺结节(BPN)组(14例)、AIS组(30例)、MIA组(10例)和IAC组(76例)。在 116 例 AIS 和 LUAD 患者中,96 例显示 AB 征。在 14 例 BPN 患者中,只有 4 例患者出现 AB 征。IAC 组的 CT 平均值和最大直径明显高于 AIS 组和 MIA 组。在 BPN 组中,有 5 名患者的 CT 平均值大于 80 HU。在所有基于 LUAD 的组别中,只有 1 名患者的 CT 值大于 60 HU:结论:根据 CT 成像识别 AB 征有助于区分良性和恶性结节。肺腺癌结节的 CT 值和最大直径随着恶性程度的增加而增大。结节类型、CT 值和最大直径有助于预测病理类型和预后。如果肺结节的平均 CT 值大于 80 HU,则可排除 LUAD。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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