基于超声图像的 rEBUS-TBLB 组合距离测量法在支气管镜检查肺周边病变中的诊断价值。

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2024-10-11 DOI:10.1016/j.slast.2024.100198
Shuhong Guan , Xiaoli Xu , Xiaoqin Zhu , Yunqi Ge , Jun Xie , Jun Zhou
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引用次数: 0

摘要

传统的成像方法在诊断肺周围病变方面存在局限性。本研究旨在评估基于超声图像的倒置电应变距离测量法(rEBUS)结合胸腔镜肺活检术(TBLB)对肺周围病变的诊断价值。研究招募了一组肺周围病变患者,在进行 TBLB 时同时进行了 rEBUS 检查。利用 rEBUS 超声图像结合电应变信息,评估肺外周病变的形态特征和内部组织的弹性特性。与病理检查结果相比,rEBUS-D-TBLB 和 rEBUS-GS-TBLB 在支气管镜下对 PPL 的诊断阳性率更高。不过,rEBUS-D-TBLB 在诊断 PPL≥ 3 厘米的良性 PPL 方面比 rEBUS-GS-TBLB 更有效。rEBUS-TBLB 联合测距法在诊断肺外周病变方面具有较高的准确性和灵敏度。超声图像提供了清晰的肿瘤形态特征,而 rEBUS 的电应变信息提供了肿瘤内部组织的弹性信息,进一步提高了诊断的准确性。
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Diagnostic value of rEBUS-TBLB combined distance measurement method based on ultrasound images in bronchoscopy for peripheral lung lesions
Traditional imaging methods have limitations in the diagnosis of peripheral lung lesions. The aim of this study is to evaluate the diagnostic value of the distance measurement method based on ultrasound image-based inverted electrostrain (rEBUS) combined with thoracoscopic lung biopsy (TBLB) for peripheral lung lesions. A group of patients with peripheral lung lesions were recruited for the study, and rEBUS examination was performed simultaneously during TBLB. Using rEBUS ultrasound images combined with electrostrain information, evaluate the morphological characteristics of peripheral lung lesions and the elastic properties of internal tissues. By comparing with pathological examination results, both rEBUS-D-TBLB and rEBUS-GS-TBLB have a higher positive diagnostic rate for PPL under bronchoscopy. However, rEBUS-D-TBLB is more effective in diagnosing benign PPL with ≥ 3 cm PPL than rEBUS-GS-TBLB. The rEBUS-TBLB combined ranging method has shown high accuracy and sensitivity in diagnosing peripheral lung lesions. Ultrasound images provide clear morphological features of the tumor, while the electrical strain information of rEBUS provides elastic information of the internal tissue of the tumor, further improving the accuracy of diagnosis.
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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