Literature DB >> 31563499

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

Maximilian C Kriegmair1, Jan Rother2, Bartłomiej Grychtol3, Martin Theuring4, Manuel Ritter5, Cagatay Günes6, Maurice S Michel1, Nikolaos C Deliolanis3, Christian Bolenz6.   

Abstract

BACKGROUND: Various imaging modalities can be used in addition to white light (WL) to improve detection of bladder cancer (BC).
OBJECTIVE: To use real-time multispectral imaging (rMSI) during urethrocystoscopy to combine different imaging modalities to achieve multiparametric cystoscopy (MPC). DESIGN, SETTING, AND PARTICIPANTS: The rMSI system consisted of a camera with a spectral filter, a multi-LED light source, a microcontroller, and a computer for display and data acquisition. MSI with this system was achieved via temporal multiplexing. SURGICAL PROCEDURE: MPC was performed in ten patients with a diagnosed bladder tumor. MEASUREMENTS: We gathered evidence to prove the feasibility of our approach. In addition, experienced urologists performed post-interventional evaluation of images of individual lesions. Images were independently rated in a semiquantitative manner for each modality. A statistical model was built for pairwise comparisons across modalities. RESULTS AND LIMITATIONS: Overall, 31 lesions were detected using the rMSI set-up. Histopathology revealed malignancy in 27 lesions. All lesions could be visualized simultaneously in five modalities: WL, enhanced vascular contrast (EVC), blue light fluorescence, protoporphyrin IX fluorescence, and autofluorescence. EVC and photodynamic diagnosis images were merged in real time into one MP image. Using the recorded images, two observers identified all malignant lesions via MPC, whereas the single modalities did not arouse substantial suspicion for some lesions. The MP images of malignant lesions were rated significantly more suspicious than the images from single imaging modalities.
CONCLUSIONS: We demonstrated for the first time the application of rMSI in endourology and we established MPC for detection of BC. This approach allows existing imaging modalities to be combined, and it may significantly improve the detection of bladder cancer. PATIENT
SUMMARY: Real-time multispectral imaging was successfully used to combine different imaging aids for more comprehensive illustration of bladder tumors for surgeons. In the future, this technique may allow better detection of bladder tumors and more complete endoscopic resection in cases of cancer.
Copyright © 2019 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bladder cancer; Cystoscopy; Fluorescence imaging; Multispectral; Transurethral resection of bladder tumor

Year:  2019        PMID: 31563499     DOI: 10.1016/j.eururo.2019.08.024

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  5 in total

Review 1.  [Enhanced imaging in urological endoscopy].

Authors:  M C Kriegmair; S Hein; D S Schoeb; H Zappe; R Suárez-Ibarrola; F Waldbillig; B Gruene; P-F Pohlmann; F Praus; K Wilhelm; C Gratzke; A Miernik; C Bolenz
Journal:  Urologe A       Date:  2020-12-10       Impact factor: 0.639

2.  An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study.

Authors:  Shaoxu Wu; Xiong Chen; Jiexin Pan; Wen Dong; Xiayao Diao; Ruiyun Zhang; Yonghai Zhang; Yuanfeng Zhang; Guang Qian; Hao Chen; Haotian Lin; Shizhong Xu; Zhiwen Chen; Xiaozhou Zhou; Hongbing Mei; Chenglong Wu; Qiang Lv; Baorui Yuan; Zeshi Chen; Wenjian Liao; Xuefan Yang; Haige Chen; Jian Huang; Tianxin Lin
Journal:  J Natl Cancer Inst       Date:  2022-02-07       Impact factor: 11.816

3.  Multi-Wavelength Fluorescence in Image-Guided Surgery, Clinical Feasibility and Future Perspectives.

Authors:  Florian van Beurden; Danny M van Willigen; Borivoj Vojnovic; Matthias N van Oosterom; Oscar R Brouwer; Henk G van der Poel; Hisataka Kobayashi; Fijs W B van Leeuwen; Tessa Buckle
Journal:  Mol Imaging       Date:  2020 Jan-Dec       Impact factor: 4.488

Review 4.  How molecular imaging will enable robotic precision surgery : The role of artificial intelligence, augmented reality, and navigation.

Authors:  Thomas Wendler; Fijs W B van Leeuwen; Nassir Navab; Matthias N van Oosterom
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-06-29       Impact factor: 9.236

5.  Ex vivo validation of a real-time multispectral endoscopic system for the detection and biopsy of bladder tumors.

Authors:  Britta Grüne; Jan Rother; Frank Waldbillig; Ganapathy Chellappan; Sabine Meessen; Bartłomiej Grychtol; Nikolaos C Deliolanis; Christian Bolenz; Maximilian C Kriegmair
Journal:  Transl Androl Urol       Date:  2021-06
  5 in total

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