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基于支气管内超声图像鉴别周围型肺部病变

Differentiating peripheral pulmonary lesions based on images of endobronchial ultrasonography.

作者信息

Chao Tung-Ying, Lie Chien-Hao, Chung Yu-Hsiu, Wang Jui-Long, Wang Yi-Hsi, Lin Meng-Chih

机构信息

Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial Hospital, Kaohsiung Medical Center, Taiwan.

出版信息

Chest. 2006 Oct;130(4):1191-7. doi: 10.1378/chest.130.4.1191.

Abstract

PURPOSE

To attempt to develop a simple method to discriminate between neoplasm and nonneoplasm peripheral pulmonary lesions based on images of endobronchial ultrasonography (EBUS).

METHODS

Between June 2004 and June 2005, 151 patients with bronchoscopic peripheral lesions that could not be detected via a conventional bronchoscope underwent EBUS for advanced localization with a 20-MHz miniature radial probe in a tertiary-referral teaching hospital. The image characteristics were applied subsequently to correlate definite histopathologic results in studied patients.

RESULTS

Based on an initial 20 consecutive patients with a definite diagnosis, four image characteristics were issued: (1) continuous hyperechoic margin outside the lesion, (2) homogeneous, or heterogeneous internal echoes, (3) hyperechoic dots in the lesion, and (4) concentric circles along the echo probe. In the following 131 patients, excluding five cases due to inconsistent typing, 93 patients (73.8%) established a diagnosis later. Most cases involving the image characteristics of homogenous internal echoes and concentric circles had nonneoplasm lesions (18 of 19 cases, 94.7%, and 14 of 16 cases, 87.5%, respectively). The difference shown in these two respects with neoplasm lesions was significant by univariate analysis (p < 0.001), although only concentric circles had a significant p value after multivariate analysis. Another two image patterns (continuous hyperechoic margins and hyperechoic dots) did not yield a significant difference (p = 0.090 and p = 0.079, respectively). The average additional time for EBUS was 3.94 min (1.5 to 10 min).

CONCLUSION

EBUS can provide characteristic information to differentiate the nature of a peripheral pulmonary lesion from the image characteristics of concentric circles.

摘要

目的

尝试开发一种基于支气管内超声(EBUS)图像鉴别肿瘤性与非肿瘤性周围型肺病变的简单方法。

方法

2004年6月至2005年6月期间,在一家三级转诊教学医院,151例经传统支气管镜无法检测到的支气管镜检查周围型病变患者接受了EBUS检查,使用20MHz微型径向探头进行进一步定位。随后应用图像特征来关联所研究患者的确切组织病理学结果。

结果

基于最初连续20例明确诊断的患者,提出了四个图像特征:(1)病变外连续的高回声边缘;(2)均匀或不均匀的内部回声;(3)病变内的高回声点;(4)沿回声探头的同心圆。在接下来的131例患者中,排除5例分型不一致的病例后,93例患者(73.8%)随后确诊。大多数涉及均匀内部回声和同心圆图像特征的病例为非肿瘤性病变(分别为19例中的18例,94.7%;16例中的14例,87.5%)。单因素分析显示这两个方面与肿瘤性病变的差异具有统计学意义(p<0.001),尽管多因素分析后只有同心圆具有显著的p值。另外两个图像模式(连续高回声边缘和高回声点)未产生显著差异(分别为p=0.090和p=0.079)。EBUS的平均额外检查时间为3.94分钟(1.5至10分钟)。

结论

EBUS可根据同心圆的图像特征提供鉴别周围型肺病变性质的特征性信息。

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