• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

孤立性肺结节的成像方法及基于光纤技术的作用。

Solitary pulmonary nodule imaging approaches and the role of optical fibre-based technologies.

作者信息

Fernandes Susan, Williams Gareth, Williams Elvira, Ehrlich Katjana, Stone James, Finlayson Neil, Bradley Mark, Thomson Robert R, Akram Ahsan R, Dhaliwal Kevin

机构信息

Centre for Inflammation Research, Queen's Medical Research Institute, The University of Edinburgh, Edinburgh, UK.

Centre for Photonics and Photonic Materials, Dept of Physics, The University of Bath, Bath, UK.

出版信息

Eur Respir J. 2021 Mar 25;57(3). doi: 10.1183/13993003.02537-2020. Print 2021 Mar.

DOI:10.1183/13993003.02537-2020
PMID:33060152
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8174723/
Abstract

Solitary pulmonary nodules (SPNs) are a clinical challenge, given there is no single clinical sign or radiological feature that definitively identifies a benign from a malignant SPN. The early detection of lung cancer has a huge impact on survival outcome. Consequently, there is great interest in the prompt diagnosis, and treatment of malignant SPNs. Current diagnostic pathways involve endobronchial/transthoracic tissue biopsies or radiological surveillance, which can be associated with suboptimal diagnostic yield, healthcare costs and patient anxiety. Cutting-edge technologies are needed to disrupt and improve, existing care pathways. Optical fibre-based techniques, which can be delivered the working channel of a bronchoscope or transthoracic needle, may deliver advanced diagnostic capabilities in patients with SPNs. Optical endomicroscopy, an autofluorescence-based imaging technique, demonstrates abnormal alveolar structure in SPNs Alternative optical fingerprinting approaches, such as time-resolved fluorescence spectroscopy and fluorescence-lifetime imaging microscopy, have shown promise in discriminating lung cancer from surrounding healthy tissue. Whilst fibre-based Raman spectroscopy has enabled real-time characterisation of SPNs Fibre-based technologies have the potential to enable characterisation and real-time microscopic imaging of SPNs, which could aid immediate treatment decisions in patients with SPNs. This review discusses advances in current imaging modalities for evaluating SPNs, including computed tomography (CT) and positron emission tomography-CT. It explores the emergence of optical fibre-based technologies, and discusses their potential role in patients with SPNs and suspected lung cancer.

摘要

孤立性肺结节(SPN)是一项临床挑战,因为没有单一的临床体征或放射学特征能够明确区分良性与恶性SPN。肺癌的早期检测对生存结果有巨大影响。因此,人们对恶性SPN的快速诊断和治疗极为关注。目前的诊断途径包括支气管内/经胸组织活检或放射学监测,这些可能与次优的诊断率、医疗成本及患者焦虑相关。需要前沿技术来打破并改善现有的治疗途径。基于光纤的技术可通过支气管镜或经胸针的工作通道进行操作,可能为SPN患者提供先进的诊断能力。光学内镜检查是一种基于自体荧光的成像技术,可显示SPN中的异常肺泡结构。其他光学指纹识别方法,如时间分辨荧光光谱法和荧光寿命成像显微镜,在区分肺癌与周围健康组织方面已显示出前景。虽然基于光纤的拉曼光谱能够对SPN进行实时表征,但基于光纤的技术有潜力实现SPN的表征和实时显微成像,这有助于为SPN患者做出即时治疗决策。本综述讨论了当前用于评估SPN的成像模式的进展,包括计算机断层扫描(CT)和正电子发射断层扫描-CT。探讨了基于光纤的技术的出现,并讨论了它们在SPN和疑似肺癌患者中的潜在作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b7/8174723/9d6bbbfae9f0/ERJ-02537-2020.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b7/8174723/ba68b7983fcd/ERJ-02537-2020.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b7/8174723/3f2b4021aed4/ERJ-02537-2020.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b7/8174723/9d6bbbfae9f0/ERJ-02537-2020.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b7/8174723/ba68b7983fcd/ERJ-02537-2020.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b7/8174723/3f2b4021aed4/ERJ-02537-2020.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b7/8174723/9d6bbbfae9f0/ERJ-02537-2020.03.jpg

相似文献

1
Solitary pulmonary nodule imaging approaches and the role of optical fibre-based technologies.孤立性肺结节的成像方法及基于光纤技术的作用。
Eur Respir J. 2021 Mar 25;57(3). doi: 10.1183/13993003.02537-2020. Print 2021 Mar.
2
Using neighborhood gray tone difference matrix texture features on dual time point PET/CT images to differentiate malignant from benign FDG-avid solitary pulmonary nodules.基于双时相 PET/CT 图像邻域灰度差矩阵纹理特征鉴别良恶性 FDG 摄取孤立性肺结节。
Cancer Imaging. 2019 Aug 16;19(1):56. doi: 10.1186/s40644-019-0243-3.
3
Diagnostic Accuracy of CT-Guided Percutaneous Pulmonary Biopsy for Distinguishing Benign and Malignant Solitary Pulmonary Nodules.CT 引导经皮肺穿刺活检对良恶性孤立性肺结节的诊断准确性。
Altern Ther Health Med. 2023 Nov;29(8):918-923.
4
Predicting malignant potential of solitary pulmonary nodules in patients with COVID-19 infection: a comprehensive analysis of CT imaging and tumor markers.预测 COVID-19 感染患者孤立性肺结节的恶性潜能:CT 影像学与肿瘤标志物的综合分析。
BMC Infect Dis. 2024 Sep 27;24(1):1050. doi: 10.1186/s12879-024-09952-3.
5
Solitary pulmonary nodules: comparison of multi-slice computed tomography perfusion study with vascular endothelial growth factor and microvessel density.孤立性肺结节:多层螺旋计算机断层扫描灌注研究与血管内皮生长因子及微血管密度的比较
Chin Med J (Engl). 2009 Mar 5;122(5):541-7.
6
Detection of circulating rare cells benefitted the diagnosis of malignant solitary pulmonary nodules.循环稀有细胞检测有助于恶性孤立性肺结节的诊断。
J Cancer Res Clin Oncol. 2022 Oct;148(10):2681-2692. doi: 10.1007/s00432-021-03852-8. Epub 2021 Nov 17.
7
Diagnostic value of PET/CT in differentiating benign from malignant solitary pulmonary nodules.PET/CT在鉴别孤立性肺结节良恶性中的诊断价值。
J BUON. 2013 Oct-Dec;18(4):935-41.
8
Contribution of nonattenuation-corrected images on FDG-PET/CT in the assessment of solitary pulmonary nodules.未进行衰减校正的图像在FDG-PET/CT评估孤立性肺结节中的作用。
Radiol Med. 2016 Dec;121(12):944-949. doi: 10.1007/s11547-016-0681-y. Epub 2016 Aug 27.
9
Clinical Impact of Radioguided Localization in the Treatment of Solitary Pulmonary Nodule: A 20-Year Retrospective Analysis.放射性核素导向定位在孤立性肺结节治疗中的临床影响:一项 20 年回顾性分析。
Clin Nucl Med. 2018 May;43(5):317-322. doi: 10.1097/RLU.0000000000001997.
10
[Differential diagnosis of benign and malignant solitary pulmonary nodule with computer-aided detection].[计算机辅助检测对肺内孤立性良恶性结节的鉴别诊断]
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2006 Feb;28(1):64-7.

引用本文的文献

1
Intraoperative Confocal Laser Endomicroscopy Detects Prostate Cancer at the Single-Cell Level with High Specificity and in Real Time: A Preclinical Proof of Concept.术中共聚焦激光内镜检查在单细胞水平实时、高特异性地检测前列腺癌:一项临床前概念验证。
Pharmaceuticals (Basel). 2025 Jun 4;18(6):841. doi: 10.3390/ph18060841.
2
Utility of Raman Spectroscopy in Pulmonary Medicine.拉曼光谱技术在肺部医学中的应用。
Adv Respir Med. 2024 Oct 18;92(5):421-428. doi: 10.3390/arm92050038.
3
Applications of machine learning in time-domain fluorescence lifetime imaging: a review.

本文引用的文献

1
The role of AI in diagnosing lung diseases.人工智能在诊断肺部疾病中的作用。
Lancet Respir Med. 2019 Dec;7(12):1015-1016. doi: 10.1016/S2213-2600(19)30331-5. Epub 2019 Sep 26.
2
Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.低剂量 CT 随访筛查中肺癌风险的预测:深度学习方法的训练和验证研究。
Lancet Digit Health. 2019 Nov;1(7):e353-e362. doi: 10.1016/S2589-7500(19)30159-1. Epub 2019 Oct 17.
3
Automated evaluation of probe-based confocal laser endomicroscopy in the lung.
机器学习在时域荧光寿命成像中的应用:综述。
Methods Appl Fluoresc. 2024 Feb 8;12(2):022001. doi: 10.1088/2050-6120/ad12f7.
4
The role of confocal laser endomicroscopy in pulmonary medicine.共聚焦激光内镜在肺部医学中的应用。
Eur Respir Rev. 2023 Jan 25;32(167). doi: 10.1183/16000617.0185-2022. Print 2023 Mar 31.
5
Mid-Infrared Imaging Characterization to Differentiate Lung Cancer Subtypes.中红外成像特征分析以区分肺癌亚型。
Pathol Oncol Res. 2022 Aug 17;28:1610439. doi: 10.3389/pore.2022.1610439. eCollection 2022.
6
Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules.在活检过程中对癌细胞进行靶向检测,可实时诊断肺部结节。
Eur J Nucl Med Mol Imaging. 2022 Oct;49(12):4194-4204. doi: 10.1007/s00259-022-05868-9. Epub 2022 Jul 5.
7
Targeted detection of cancer at the cellular level during biopsy by near-infrared confocal laser endomicroscopy.近红外共聚焦激光内镜在活检中对细胞水平的癌症进行靶向检测。
Nat Commun. 2022 May 17;13(1):2711. doi: 10.1038/s41467-022-30265-z.
8
Fibroblast Activation Protein Specific Optical Imaging in Non-Small Cell Lung Cancer.非小细胞肺癌中纤维母细胞活化蛋白特异性光学成像
Front Oncol. 2022 Mar 10;12:834350. doi: 10.3389/fonc.2022.834350. eCollection 2022.
基于探针的共聚焦激光内镜在肺部的自动评估。
PLoS One. 2020 May 6;15(5):e0232847. doi: 10.1371/journal.pone.0232847. eCollection 2020.
4
Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.评估深度学习方法对不确定肺结节进行风险分层的准确性。
Am J Respir Crit Care Med. 2020 Jul 15;202(2):241-249. doi: 10.1164/rccm.201903-0505OC.
5
Image computing for fibre-bundle endomicroscopy: A review.纤维束内窥成像计算:综述。
Med Image Anal. 2020 May;62:101620. doi: 10.1016/j.media.2019.101620. Epub 2019 Dec 25.
6
Cost-Effectiveness of Follow-Up for Subsolid Pulmonary Nodules in High-Risk Patients.高危人群肺亚实性结节随访的成本效益分析。
J Thorac Oncol. 2020 Aug;15(8):1298-1305. doi: 10.1016/j.jtho.2020.03.001. Epub 2020 Apr 6.
7
External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.卷积神经网络人工智能工具预测肺结节良恶性的外部验证。
Thorax. 2020 Apr;75(4):306-312. doi: 10.1136/thoraxjnl-2019-214104. Epub 2020 Mar 5.
8
Characterization of endogenous fluorescence in nonsmall lung cancerous cells: A comparison with nonmalignant lung normal cells.非小细胞肺癌细胞内源性荧光的特征:与非恶性肺正常细胞的比较。
J Biophotonics. 2020 May;13(5):e201960210. doi: 10.1002/jbio.201960210. Epub 2020 Feb 26.
9
Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial.随机试验中 CT 容积筛查降低肺癌死亡率
N Engl J Med. 2020 Feb 6;382(6):503-513. doi: 10.1056/NEJMoa1911793. Epub 2020 Jan 29.
10
Raman spectroscopy as a potential diagnostic tool to analyse biochemical alterations in lung cancer.拉曼光谱分析作为一种潜在的诊断工具,可用于分析肺癌中的生化改变。
Analyst. 2020 Jan 21;145(2):385-392. doi: 10.1039/c9an02175b. Epub 2019 Dec 17.