ArticleTranslational oncology2019
Multi-Spectral Fluorescence Imaging of Colon Dysplasia InVivo Using a Multi-Spectral Endoscopy System.
Article in Translational oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Design and Assembly of a Miniature Catheter Imaging System for In Vivo Heart Endoscopic Imaging.Sensors (Basel, Switzerland) · 2024Article
- In Vivo Evaluation of Sgc8-c Aptamer as a Molecular Imaging Probe for Colon Cancer in a Mouse Xenograft Model.International journal of molecular sciences · 2022Article
- Assessment of Murine Colon Inflammation Using Intraluminal Fluorescence Lifetime Imaging.Molecules (Basel, Switzerland) · 2022Article
- Advances in Surface Enhanced Raman Spectroscopy forNanotheranostics · 2022Review
- Review on Optical Imaging Techniques for Multispectral Analysis of Nanomaterials.Nanotheranostics · 2022Review
- Fluorescence Microscopy-An Outline of Hardware, Biological Handling, and Fluorophore Considerations.Cells · 2021Review
- Endoscopic molecular imaging in inflammatory bowel disease.Intestinal research · 2021Review
- Multicolor fluorescence imaging using a single RGB-IR CMOS sensor for cancer detection with smURFP-labeled probiotics.Biomedical optics express · 2020Article
- Macroscopic and microscopic fluorescence spectroscopy of colorectal benign and malignant lesions - diagnostically important features.Biomedical optics express · 2019Article
- Multi-Wavelength Fluorescence in Image-Guided Surgery, Clinical Feasibility and Future Perspectives.Molecular imagingReview
Corrections and comments
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Authors and funding
21 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND STUDY
aimTo develop a molecular imaging endoscopic system that eliminates tissue autofluorescence and distinguishes multiple fluorescent markers specifically on the cancerous lesions.
methodsNewly developed multi-spectral fluorescence endoscope device has the potential to eliminate signal interference due to autofluorescence and multiplex fluorophores in fluorescent probes. The multiplexing capability of the multi-spectral endoscope device was demonstrated in the phantom studies and multi-spectral imaging with endoscopy and macroscopy was performed to analyze fluorescence signals after administration of fluorescent probe that targets cancer in the colon. Because of the limitations in the clinical application using rigid-type small animal endoscope, we developed a flexible channel insert-type fluorescence endoscope, which was validated on the colonoscopy of dummy and porcine model.
resultsWe measured multiple fluorescent signals simultaneously, and the fluorescence spectra were unmixed to separate the fluorescent signals of each probe, in which multiple fluorescent probes clearly revealed spectral deconvolution at the specific targeting area in the mouse colon. The positive area of fluorescence signal for each probe over the whole polyp was segmented with analyzing software, and showed distinctive patterns and significantly distinguishable values: 0.46 ± 0.04, 0.39 ± 0.08 and 0.73 ± 0.12 for HMRG, CET-553 and TRA-675 probes, respectively. The spectral unmixing was finally demonstrated in the dummy and porcine model, corroborating the targeted multi-spectral fluorescence imaging of colon dysplasia.
conclusionThe multi-spectral endoscopy system may allow endoscopists to clearly identify cancerous lesion that has different patterns of various target expression using multiple fluorescent probes.
Identifiers
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Registered trials
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.