[Research Progress on Localization of Pulmonary Nodules].

Jiangnan Wang, Weiya Yan, Xuebing Ding
{"title":"[Research Progress on Localization of Pulmonary Nodules].","authors":"Jiangnan Wang, Weiya Yan, Xuebing Ding","doi":"10.12455/j.issn.1671-7104.230226","DOIUrl":null,"url":null,"abstract":"<p><p>With the widespread adoption of low-dose computed tomography (LDCT) and advancements in computed tomography image resolution, the detection rate of pulmonary nodules, especially smaller ones, has significantly improved. The risk of developing malignant tumors increases with the pulmonary nodule diameter. Video-assisted thoracoscopic surgery (VATS) stands out as the preferred surgical method. The accurate localization of pulmonary nodules is crucial for the success of VATS and remains a significant challenge for thoracic surgeons. Currently, commonly employed localization methods include CT-guided percutaneous positioning, bronchoscope-guided positioning, intraoperative ultrasound positioning, augmented reality (AR), and 3D print-assisted positioning. This review explores recent research progress, highlights the strengths and weaknesses of various pulmonary nodule localization methods. The aim is to provide valuable insights for clinical applications and guide future developments in this field.</p>","PeriodicalId":52535,"journal":{"name":"中国医疗器械杂志","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国医疗器械杂志","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.12455/j.issn.1671-7104.230226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

With the widespread adoption of low-dose computed tomography (LDCT) and advancements in computed tomography image resolution, the detection rate of pulmonary nodules, especially smaller ones, has significantly improved. The risk of developing malignant tumors increases with the pulmonary nodule diameter. Video-assisted thoracoscopic surgery (VATS) stands out as the preferred surgical method. The accurate localization of pulmonary nodules is crucial for the success of VATS and remains a significant challenge for thoracic surgeons. Currently, commonly employed localization methods include CT-guided percutaneous positioning, bronchoscope-guided positioning, intraoperative ultrasound positioning, augmented reality (AR), and 3D print-assisted positioning. This review explores recent research progress, highlights the strengths and weaknesses of various pulmonary nodule localization methods. The aim is to provide valuable insights for clinical applications and guide future developments in this field.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
[肺结节定位研究进展]。
随着低剂量计算机断层扫描(LDCT)的广泛应用和计算机断层扫描图像分辨率的提高,肺结节(尤其是较小的结节)的检出率明显提高。患恶性肿瘤的风险随着肺结节直径的增加而增加。视频辅助胸腔镜手术(VATS)是首选的手术方法。肺结节的准确定位是 VATS 成功的关键,也是胸外科医生面临的重大挑战。目前,常用的定位方法包括 CT 引导下经皮定位、支气管镜引导下定位、术中超声定位、增强现实(AR)和 3D 打印辅助定位。这篇综述探讨了最新的研究进展,强调了各种肺结节定位方法的优缺点。目的是为临床应用提供有价值的见解,并指导该领域的未来发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
中国医疗器械杂志
中国医疗器械杂志 Medicine-Medicine (all)
CiteScore
0.40
自引率
0.00%
发文量
8086
期刊介绍:
期刊最新文献
[12-Lead Holter Integrated with Sleep Monitoring Module]. [Bowel Sounds Detection Method Based on ResNet-BiLSTM and Attention Mechanism]. [Clinical Application of Equivalent Uniform Dose in Intensity-Modulated Rotational Radiotherapy Based on Eclipse TPS]. [Clinical Validation of a Prototype Smart Non-Invasive Pregnancy Glucose Monitor]. [Clinical Validation Study of Deep Learning-Generated Magnetic Resonance Images].
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1