In vivo bladder imaging with microelectromechanicalsystems-based endoscopic spectral domain optical coherence tomography

  • Zhenguo Wang
  • , Christopher S.D. Lee
  • , Wayne C. Waltzer
  • , Jingxuan Liu
  • , Huikai Xie
  • , Zhijia Yuan
  • , Yingtian Pan*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)

Abstract

We report the recent technical improvements in our microelectromechanical systems (MEMS)-based spectral-domain endoscopic OCT (SDEOCT) and applications for in vivo bladder imaging diagnosis. With the technical advances in MEMS mirror fabrication and endoscopic light coupling methods, the new SDEOCT system is able to visualize morphological details of the urinary bladder with high image fidelity close to bench-top OCT (e.g., 10 μm/12 μm axial/lateral resolutions, >108dB dynamic range) at a fourfold to eightfold improved frame rate. An in vivo animal study based on a porcine acute inflammation model following protamine sulfate instillation is performed to further evaluate the utility of SDEOCT system to delineate bladder morphology and inflammatory lesions as well as to detect subsurface blood flow. In addition, a preliminary clinical study is performed to identify the morphological features pertinent to bladder cancer diagnosis, including loss of boundary or image contrast between urothelium and the underlying layers, heterogeneous patterns in the cancerous urothelium, and margin between normal and bladder cancers. The results of a human study (91% sensitivity, 80% specificity) suggest that SDEOCT enables a high-resolution crosssectional image of human bladder structures to detect transitional cell carcinomas (TCC); however, due to reduced imaging depth of SD-EOCT in cancerous lesions, staging of bladder cancers may be limited to T1 to T2a (prior to muscle invasion).

Original languageEnglish
Article number034009
JournalJournal of Biomedical Optics
Volume12
Issue number3
DOIs
Publication statusPublished - May 2007
Externally publishedYes

Keywords

  • Bladder cancer diagnosis
  • Endoscopy
  • Microelectromechanical systems
  • Optical coherence tomography
  • Spectral domain

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