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Multiparametric Cystoscopy for Detection of Bladder Cancer Using Real-time Multispectral Imaging.

Maximilian C Kriegmair1, Jan Rother2, Bartłomiej Grychtol3

  • 1Department of Urology, University Medical Centre Mannheim, Mannheim, Germany.

European Urology
|September 30, 2019
PubMed
Summary
This summary is machine-generated.

Real-time multispectral imaging (rMSI) combined imaging modalities for multiparametric cystoscopy (MPC) to improve bladder cancer detection. This novel approach significantly enhanced the detection and suspicion of malignant lesions compared to single imaging methods.

Keywords:
Bladder cancerCystoscopyFluorescence imagingMultispectralTransurethral resection of bladder tumor

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Area of Science:

  • Urology
  • Medical Imaging
  • Oncology

Background:

  • Conventional white light (WL) cystoscopy has limitations in detecting bladder cancer (BC).
  • Advanced imaging techniques are crucial for improving BC detection rates.

Purpose of the Study:

  • To develop and evaluate a real-time multispectral imaging (rMSI) system for multiparametric cystoscopy (MPC).
  • To combine multiple imaging modalities for enhanced visualization of bladder tumors during urethrocystoscopy.

Main Methods:

  • An rMSI system was developed, integrating a camera, spectral filter, multi-LED light source, and computer for data acquisition.
  • Multiparametric cystoscopy (MPC) was performed on ten patients with diagnosed bladder tumors.
  • Images from WL, enhanced vascular contrast (EVC), blue light fluorescence, protoporphyrin IX fluorescence, and autofluorescence were acquired and analyzed.

Main Results:

  • The rMSI system successfully visualized 31 lesions, with 27 confirmed as malignant by histopathology.
  • All detected lesions were simultaneously visualized across five imaging modalities.
  • Multiparametric (MP) images of malignant lesions were rated significantly more suspicious by observers compared to single imaging modalities, aiding in the identification of all malignant lesions.

Conclusions:

  • The study demonstrates the first application of rMSI in endourology, establishing MPC for improved bladder cancer detection.
  • Combining multiple imaging modalities via rMSI may significantly enhance the detection and management of bladder cancer.
  • This technique holds promise for more accurate diagnosis and complete endoscopic resection of bladder tumors.