ArticleBiomedical optics express2019
Multimodal endoscopy for colorectal cancer detection by optical coherence tomography and near-infrared fluorescence imaging.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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.
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
20 citing papers in PubMed, 42 citations in OpenAlex.
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- Quantitative assessment of chlorine gas inhalation injury based on endoscopic OCT and spectral encoded interferometric microscope imaging with deep learning.APL photonics · 2024Article
- AI support for colonoscopy quality control using CNN and transformer architectures.BMC gastroenterology · 2024Article
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- Application of near-infrared fluorescence imaging in theranostics of gastrointestinal tumors.Gastroenterology report · 2023Review
- Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography.Frontiers in oncology · 2023Article
- Size and depth of residual tumor after neoadjuvant chemoradiotherapy in rectal cancer - implications for the development of new imaging modalities for response assessment.Frontiers in oncology · 2023Article
- Double-Clad Fiber-Based Multifunctional Biosensors and Multimodal Bioimaging Systems: Technology and Applications.Biosensors · 2022Review
- In vivo functional imaging of the human middle ear with a hand-held optical coherence tomography device.Biomedical optics express · 2021Article
- Advances in Endoscopic Photoacoustic Imaging.Photonics · 2021Article
- Diagnosing colorectal abnormalities using scattering coefficient maps acquired from optical coherence tomography.Journal of biophotonics · 2021Article
- Biomedical optical imaging technology and applications: From basic research toward clinical diagnosis.Experimental biology and medicine (Maywood, N.J.) · 2020Article
- Multimodal intravascular imaging technology for characterization of atherosclerosis.Journal of innovative optical health sciences · 2020Article
- Real-time colorectal cancer diagnosis using PR-OCT with deep learning.Theranostics · 2020Article
- 5G Use in Healthcare: The Future is Present.JSLS : Journal of the Society of Laparoendoscopic SurgeonsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
While colonoscopy is the gold standard for diagnosis and classification of colorectal cancer (CRC), its sensitivity and specificity are operator-dependent and are especially poor for small and flat lesions. Contemporary imaging modalities, such as optical coherence tomography (OCT) and near-infrared (NIR) fluorescence, have been investigated to visualize microvasculature and morphological changes for detecting early stage CRC in the gastrointestinal (GI) tract. In our study, we developed a multimodal endoscopic system with simultaneous co-registered OCT and NIR fluorescence imaging. By introducing a contrast agent into the vascular network, NIR fluorescence is able to highlight the cancer-suspected area based on significant change of tumor vascular density and morphology caused by angiogenesis. With the addition of co-registered OCT images to reveal subsurface tissue layer architecture, the suspected regions can be further investigated by the altered light scattering resulting from the morphological abnormality. Using this multimodal imaging system, an
Identifiers
What OpenQuestion holds
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.