ArticleCancer biology & therapy2014
In vivo time-serial multi-modality optical imaging in a mouse model of ovarian tumorigenesis.
Article in Cancer biology & therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Irradiation with a mixed heavy ion beam induces ovarian follicle loss and dose-dependent mixed ovarian tumor development.Biology of reproduction · 2026Article
- Article
- Accurate evaluation of the treatment effects of immunotherapy on subcutaneous ovarian cancer in mice with nonlinear optical imaging and algorithmic analysis.Biomedical optics express · 2022Article
- Triple-modality co-registered endoscope featuring wide-field reflectance imaging, and high-resolution multiphoton and optical coherence microscopy.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Bimodal magnetic resonance and optical imaging of extracellular matrix remodelling by orthotopic ovarian tumours.British journal of cancer · 2020Article
- Histogram analysis of en face scattering coefficient map predicts malignancy in human ovarian tissue.Journal of biophotonics · 2019Article
- Multispectral fluorescence imaging of human ovarian and fallopian tube tissue for early-stage cancer detection.Journal of biomedical optics · 2016Article
- Time-serial Assessment of Drug Combination Interventions in a Mouse Model of Colorectal Carcinogenesis Using Optical Coherence Tomography.Cancer growth and metastasis · 2015Article
- Applications of second-harmonic generation imaging microscopy in ovarian and breast cancer.Perspectives in medicinal chemistry · 2015Article
- Diagnostic potential of multimodal imaging of ovarian tissue using optical coherence tomography and second-harmonic generation microscopy.Journal of medical imaging (Bellingham, Wash.) · 2014Article
- An overview of optical coherence tomography for ovarian tissue imaging and characterization.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
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.
Funding
Abstract
Identification of the early microscopic changes associated with ovarian cancer may lead to development of a diagnostic test for high-risk women. In this study we use optical coherence tomography (OCT) and multiphoton microscopy (MPM) (collecting both two photon excited fluorescence [TPEF] and second harmonic generation [SHG]) to image mouse ovaries in vivo at multiple time points. We demonstrate the feasibility of imaging mouse ovaries in vivo during a long-term survival study and identify microscopic changes associated with early tumor development. These changes include alterations in tissue microstructure, as seen by OCT, alterations in cellular fluorescence and morphology, as seen by TPEF, and remodeling of collagen structure, as seen by SHG. These results suggest that a combined OCT-MPM system may be useful for early detection of ovarian cancer.
Indexed as
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.