Evidence map›Paper›PMID 31563499›Full record

ArticleEuropean urology2020

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

Maximilian C Kriegmair, Jan Rother, Bartłomiej Grychtol, Martin Theuring, Manuel Ritter, Cagatay Günes, Maurice S Michel, Nikolaos C Deliolanis, Christian Bolenz

Abstract read
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In one paragraph

Article in European urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 44 citations in OpenAlex.

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  15. Translational andrology and urology · 2021
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  17. Multiparametric cystoscopy: is the future here yet?Translational andrology and urology · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 1 country.

Maximilian C KriegmairDepartment of Urology, University Medical Centre Mannheim, Mannheim, Germany.
Jan RotherMedical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Bartłomiej GrychtolMedical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Project Group for Automation in Medicine and Biotechnology, Fraunhofer IPA, Mannheim, Germany.
Martin TheuringProject Group for Automation in Medicine and Biotechnology, Fraunhofer IPA, Mannheim, Germany.
Manuel RitterDepartment of Urology, University of Bonn, Bonn, Germany.
Cagatay GünesDepartment of Urology, University of Ulm, Ulm, Germany.
Maurice S MichelDepartment of Urology, University Medical Centre Mannheim, Mannheim, Germany.
Nikolaos C DeliolanisMedical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Project Group for Automation in Medicine and Biotechnology, Fraunhofer IPA, Mannheim, Germany.
Christian BolenzDepartment of Urology, University of Ulm, Ulm, Germany.
Universität Ulm · DEUniversity Medical Centre Mannheim · DEUniversity of Mannheim · DEFraunhofer Institute for Manufacturing Engineering and Automation · DEHeidelberg University · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious imaging modalities can be used in addition to white light (WL) to improve detection of bladder cancer (BC).

objectiveTo use real-time multispectral imaging (rMSI) during urethrocystoscopy to combine different imaging modalities to achieve multiparametric cystoscopy (MPC). DESIGN, SETTING, AND

participantsThe 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.

conclusionsWe 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.

Indexed as

AgedAged, 80 and overComputer SystemsCystoscopyFemaleHumansMaleMiddle AgedUrinary Bladder NeoplasmsBladder cancerCystoscopyFluorescence imagingMultispectralTransurethral resection of bladder tumor

Identifiers

PMID31563499
OpenAlexW2976186403

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.