Computed Tomography-guided Techniques for Localizing Pulmonary Nodules by Localization Needle versus Methylene Blue

Author:

Kong Jian1ORCID,Zhang Hua2ORCID,Guo Jian-Xi1ORCID

Affiliation:

1. Department of Interventional Radiology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China

2. The Second Clinical Medical College, Jinan University, Shenzhen, China

Abstract

Objective: The aim of this study was to evaluate the clinical value of computed tomography-guided localization needle (LN) and methylene blue (MB) for pulmonary nodule localization. Materials and Methods: Between November 2019 and January 2022, 547 patients underwent computed tomography-guided LN (n=171) or MB (n=376) localization and video-assisted thoracoscopic surgery (VATS) resection. Results: In total, 171 and 376 nodules were localized via LN and MB, respectively, with respective technical localization success rates of 92.98 % and 88.56 % (p = 0.111). The pulmonary nodule localization time was significantly shorter for the MB group than for the LN group (p < 0.05). However, the rates of total complication, chest pain, and cough were significantly lower in the LN group (χ2 = 8.251/25.092/5.127, all p < 0.05). Furthermore, the LN group had a shorter VATS time than the MB group (p < 0.05). The VATS achieved a 100% operation success rate in both groups, and there was no significance between groups with respect to the types of surgery (p > 0.05) or the blood loss (p > 0.05). Moreover, logistic regression analysis showed that the localization technique was an independent risk factor for total complications and chest pain. Conclusion: Both techniques can effectively localize pulmonary nodules before VATS. MB had a shorter localization time, but the LN had a shorter VATS time and a lower incidence of complications, especially chest pain.

Publisher

Bentham Science Publishers Ltd.

Subject

Radiology, Nuclear Medicine and imaging

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3