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[泌尿外科内镜检查中的增强成像]

[Enhanced imaging in urological endoscopy].

作者信息

Kriegmair M C, Hein S, Schoeb D S, Zappe H, Suárez-Ibarrola R, Waldbillig F, Gruene B, Pohlmann P-F, Praus F, Wilhelm K, Gratzke C, Miernik A, Bolenz C

机构信息

Klinik für Urologie, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Heidelberg, Deutschland.

Medizinische Fakultät, Klinik für Urologie, Sektion Urotechnologie, Universitätsklinikum Freiburg, Freiburg, Deutschland.

出版信息

Urologe A. 2021 Jan;60(1):8-18. doi: 10.1007/s00120-020-01400-9. Epub 2020 Dec 10.

DOI:10.1007/s00120-020-01400-9
PMID:33301070
Abstract

White light cystoscopy and the concise documentation of pathological findings are standard diagnostic procedures in urology. Additional imaging modalities and technical innovations may support clinicians in the detection of bladder tumors. Modern endoscopy systems provide ultra-high-resolution imaging and the option of digital contrast enhancement. Photodynamic diagnostics and narrow band imaging are well-established in clinical routine and have shown significant benefits in the detection of bladder cancer. By means of multispectral imaging, different modalities can now be combined in real-time. Probe-based procedures such as optical coherence tomography (OCT) or Raman spectroscopy can further contribute to advanced imaging through an "optical biopsy" which may primarily improve diagnostics in the upper urinary tract. The aim of all techniques is to optimize the detection rate in order to achieve a more accurate diagnosis, resection and lower recurrence rates. Current research projects aim to digitalize the documentation of endoscopy and also make it more patient- and user-friendly. In the future, the use of image processing and artificial intelligence may automatically support the surgeon during endoscopy.

摘要

白光膀胱镜检查及对病理结果的精确记录是泌尿外科的标准诊断程序。其他成像方式和技术创新可能有助于临床医生检测膀胱肿瘤。现代内窥镜系统提供超高分辨率成像以及数字对比增强选项。光动力诊断和窄带成像在临床常规中已得到广泛应用,并且在膀胱癌检测中显示出显著优势。借助多光谱成像,现在可以实时组合不同的成像方式。基于探头的程序,如光学相干断层扫描(OCT)或拉曼光谱,可以通过“光学活检”进一步促进先进成像,这可能主要改善上尿路的诊断。所有技术的目标都是优化检测率,以实现更准确的诊断、切除并降低复发率。当前的研究项目旨在将内窥镜检查的记录数字化,并使其对患者和用户更加友好。未来,图像处理和人工智能的应用可能在内窥镜检查期间自动辅助外科医生。

相似文献

1
[Enhanced imaging in urological endoscopy].[泌尿外科内镜检查中的增强成像]
Urologe A. 2021 Jan;60(1):8-18. doi: 10.1007/s00120-020-01400-9. Epub 2020 Dec 10.
2
[The development of real-time multispectral imaging for the diagnostics of bladder cancer].[用于膀胱癌诊断的实时多光谱成像技术的发展]
Urologe A. 2019 Dec;58(12):1435-1442. doi: 10.1007/s00120-019-01037-3.
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[Modern endoscopic imaging tools for urothelial carcinoma of the urinary bladder].[用于膀胱尿路上皮癌的现代内镜成像工具]
Aktuelle Urol. 2017 Aug;48(4):296-305. doi: 10.1055/s-0043-109820. Epub 2017 Jul 27.
4
[Supplementary optical techniques for the detection of nonmuscle invasive bladder cancer].[用于检测非肌层浸润性膀胱癌的补充光学技术]
Urologe A. 2018 Feb;57(2):139-147. doi: 10.1007/s00120-017-0539-5.
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Photodynamic Diagnosis and Narrow-Band Imaging in the Management of Bladder Cancer: A Review.光动力诊断与窄带成像在膀胱癌治疗中的应用综述
Photomed Laser Surg. 2017 Sep;35(9):459-464. doi: 10.1089/pho.2016.4217. Epub 2017 May 22.
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Emerging optical techniques in advanced cystoscopy for bladder cancer diagnosis: A review of the current literature.用于膀胱癌诊断的先进膀胱镜检查中的新兴光学技术:当前文献综述
Indian J Urol. 2011 Apr;27(2):245-51. doi: 10.4103/0970-1591.82845.
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[Enhanced endoscopic imaging for urothelial cancer].[用于尿路上皮癌的增强内镜成像]
Aktuelle Urol. 2019 Feb;50(1):76-83. doi: 10.1055/a-0731-0008. Epub 2018 Sep 27.
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Enhanced Endoscopy in Bladder Cancer.膀胱癌的增强内镜检查
Curr Urol Rep. 2018 Aug 17;19(10):84. doi: 10.1007/s11934-018-0833-9.
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Early detection of carcinoma in situ of the bladder: a comparative study of white light cystoscopy, narrow band imaging, 5-ALA fluorescence cystoscopy and 3-dimensional optical coherence tomography.早期膀胱癌原位癌的检测:白光膀胱镜检查、窄带成像、5-ALA 荧光膀胱镜检查和三维光学相干断层扫描的对比研究。
J Urol. 2012 Mar;187(3):1063-70. doi: 10.1016/j.juro.2011.10.131. Epub 2012 Jan 15.
10
New imaging techniques for nonmuscle invasive bladder cancer.非肌层浸润性膀胱癌的新型成像技术
Curr Opin Urol. 2014 Sep;24(5):532-9. doi: 10.1097/MOU.0000000000000093.

本文引用的文献

1
A novel endoimaging system for endoscopic 3D reconstruction in bladder cancer patients.一种新型内镜下膀胱癌患者内镜 3D 重建的内窥成像系统。
Minim Invasive Ther Allied Technol. 2022 Jan;31(1):34-41. doi: 10.1080/13645706.2020.1761833. Epub 2020 Jun 3.
2
Current Standards in the Endoscopic Management of Bladder Cancer: A Survey Evaluation among Urologists in German-Speaking Countries.当前膀胱癌内镜管理标准:德语国家泌尿科医生的调查评估。
Urol Int. 2020;104(5-6):410-416. doi: 10.1159/000506653. Epub 2020 Mar 25.
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Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects.
人工神经网络在膀胱镜图像自动分析中的应用:现状与未来展望综述。
World J Urol. 2020 Oct;38(10):2349-2358. doi: 10.1007/s00345-019-03059-0. Epub 2020 Jan 10.
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Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence.基于人工智能的膀胱癌膀胱镜诊断支持系统。
J Endourol. 2020 Mar;34(3):352-358. doi: 10.1089/end.2019.0509. Epub 2020 Jan 14.
5
Current European Trends in Endoscopic Imaging and Transurethral Resection of Bladder Tumors.当前欧洲在膀胱肿瘤内镜成像和经尿道切除术方面的趋势。
J Endourol. 2020 Mar;34(3):312-321. doi: 10.1089/end.2019.0651. Epub 2019 Nov 19.
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Application of optical coherence tomography in clinical diagnosis.光学相干断层扫描在临床诊断中的应用。
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Multiparametric Cystoscopy for Detection of Bladder Cancer Using Real-time Multispectral Imaging.基于实时多光谱成像的多参数膀胱镜检查用于膀胱癌检测。
Eur Urol. 2020 Feb;77(2):251-259. doi: 10.1016/j.eururo.2019.08.024. Epub 2019 Sep 26.
8
Augmented Bladder Tumor Detection Using Deep Learning.深度学习增强的膀胱癌检测。
Eur Urol. 2019 Dec;76(6):714-718. doi: 10.1016/j.eururo.2019.08.032. Epub 2019 Sep 17.
9
[The development of real-time multispectral imaging for the diagnostics of bladder cancer].[用于膀胱癌诊断的实时多光谱成像技术的发展]
Urologe A. 2019 Dec;58(12):1435-1442. doi: 10.1007/s00120-019-01037-3.
10
Narrow-band imaging assisted cystoscopy in the follow-up of patients with transitional cell carcinoma of the bladder: a randomized study in comparison with white light cystoscopy.窄带成像辅助膀胱镜检查在膀胱移行细胞癌患者随访中的应用:与白光膀胱镜检查的随机对照研究。
World J Urol. 2020 Jun;38(6):1509-1515. doi: 10.1007/s00345-019-02926-0. Epub 2019 Aug 30.