Literature DB >> 30315954

Recent advances in optical imaging technologies for the detection of bladder cancer.

Putu Angga Risky Raharja1, Agus Rizal A H Hamid2, Chaidir A Mochtar1, Rainy Umbas1.   

Abstract

White-light cystoscopy (WLC) is the diagnostic standard for the detection of bladder cancer (BC). However, the detection of small papillary and subtle flat carcinoma in situ lesions is not always possible with WLC. Several adjunctive optical imaging technologies have been developed to improve BC detection and resection. Photodynamic diagnosis, which requires the administering of a photoactive substance, has a higher detection rate than WLC for the detection of BC. Narrow-band imaging provides better visualization of tumors by contrast enhancement between normal mucosa and well-vascularized lesions. A technology called confocal laser endomicroscopy can be used to obtain detailed images of tissue structure. Optical coherence tomography is a high-resolution imaging process that enables noninvasive, real-time, and high-quality tissue images. Several other optical imaging technologies are also being developed to assist with the detection of BC. In this review, we provide an overview of the strengths and weaknesses of these imaging technologies for the detection of BC.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bladder cancer; Confocal laser endomicroscopy; Narrow-band imaging; Optical coherence tomography; Optical imaging; Photodynamic diagnosis

Mesh:

Substances:

Year:  2018        PMID: 30315954     DOI: 10.1016/j.pdpdt.2018.10.009

Source DB:  PubMed          Journal:  Photodiagnosis Photodyn Ther        ISSN: 1572-1000            Impact factor:   3.631


  4 in total

Review 1.  Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects.

Authors:  Misgana Negassi; Rodrigo Suarez-Ibarrola; Simon Hein; Arkadiusz Miernik; Alexander Reiterer
Journal:  World J Urol       Date:  2020-01-10       Impact factor: 4.226

2.  Evaluation of Serum miR-17-92 Cluster as Noninvasive Biomarkers for Bladder Cancer Diagnosis.

Authors:  Jingyao Wang; Xiqi Peng; Rongkang Li; Kaihao Liu; Chunduo Zhang; Xuan Chen; Guocheng Huang; Liwen Zhao; Zebo Chen; Yongqing Lai
Journal:  Front Oncol       Date:  2021-12-22       Impact factor: 6.244

3.  Urinary Exosomal miRNAs as biomarkers of bladder Cancer and experimental verification of mechanism of miR-93-5p in bladder Cancer.

Authors:  Hao Lin; Xiaojun Shi; Haoran Li; Jialiang Hui; Ruiyu Liu; Zihao Chen; Yuwen Lu; Wanlong Tan
Journal:  BMC Cancer       Date:  2021-12-03       Impact factor: 4.430

4.  Evaluation of miR-130 family members as circulating biomarkers for the diagnosis of bladder cancer.

Authors:  Jingyao Wang; Liwen Zhao; Xiqi Peng; Kaihao Liu; Chunduo Zhang; Xuan Chen; Yanni Han; Yongqing Lai
Journal:  J Clin Lab Anal       Date:  2020-08-05       Impact factor: 3.124

  4 in total

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