ArticleJournal of biomedical optics
Quantitative tool for rapid disease mapping using optical coherence tomography images of azoxymethane-treated mouse colon.
Article in Journal of biomedical optics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 30 citations in OpenAlex.
- Deep-learning-aided forward optical coherence tomography endoscope for percutaneous nephrostomy guidance.Biomedical optics express · 2021Article
- Real-time colorectal cancer diagnosis using PR-OCT with deep learning.Theranostics · 2020Article
- The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer.Scientific reports · 2019Article
- In vivo endoscopic Doppler optical coherence tomography imaging of the colon.Lasers in surgery and medicine · 2017Article
- Design and characterization of a combined OCT and wide field imaging falloposcope for ovarian cancer detection.Biomedical optics express · 2017Article
- Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis.Journal of visualized experiments : JoVE · 2016Article
- Fiber-bundle microendoscopy with sub-diffuse reflectance spectroscopy and intensity mapping for multimodal optical biopsy of stratified epithelium.Biomedical optics express · 2015Article
- Expanding Functionality of Commercial Optical Coherence Tomography Systems by Integrating a Custom Endoscope.PloS one · 2015Article
- Dual optical modality endoscopic imaging of cancer development in the mouse colon.Lasers in surgery and medicine · 2015Article
- Time-serial Assessment of Drug Combination Interventions in a Mouse Model of Colorectal Carcinogenesis Using Optical Coherence Tomography.Cancer growth and metastasis · 2015Article
- Echographic imaging of tumoral cells through novel nanosystems for image diagnosis.World journal of radiology · 2014Review
- Characterization of eosinophilic esophagitis murine models using optical coherence tomography.Biomedical optics express · 2014Article
- Fluorescence-based surface magnifying chromoendoscopy and optical coherence tomography endoscope.Journal of biomedical optics · 2012Article
- Scanning two-photon microscopy with upconverting lanthanide nanoparticles via Richardson-Lucy deconvolution.Journal of biomedical optics · 2012Article
- Cancer imaging by optical coherence tomography: preclinical progress and clinical potential.Nature reviews. Cancer · 2012Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Optical coherence tomography (OCT) can provide new insight into disease progression and therapy by enabling nondestructive, serial imaging of in vivo cancer models. In previous studies, we have shown the utility of endoscopic OCT for identifying adenomas in the azoxymethane-treated mouse model of colorectal cancer and tracking disease progression over time. Because of improved imaging speed made possible through Fourier domain imaging, three-dimensional imaging of the entire mouse colon is possible. Increased amounts of data can facilitate more accurate classification of tissue but require more time on the part of the researcher to sift through and identify relevant data. We present quantitative software for automatically identifying potentially diseased areas that can be used to create a two-dimensional "disease map" from a three-dimensional Fourier domain OCT data set. In addition to sensing inherent changes in tissue that occur during disease development, the algorithm is sensitive to exogeneous highly scattering gold nanoshells that can be targeted to disease biomarkers. The results of the algorithm were compared to histological diagnosis. The algorithm was then used to assess the ability of gold nanoshells targeted to epidermal growth factor receptor in vivo to enable functional OCT imaging.
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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.