ArticleCells2022
Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model-Establishment and Addition to Laser Speckle Contrast Imaging (LSCI).
Article in Cells, 2022. 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
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
20 citing papers in PubMed, 28 citations in OpenAlex.
- Workflow evaluation of a commercial deep learning-based image analysis tool for the quantification of angiogenesis in vivo.Scientific reports · 2026Article
- Article
- An AI-Assisted Protocol for Quantifying Superficial Chorioallantoic Membrane Vasculature.Cells, tissues, organs · 2026Article
- SET1B Drives Sustained HIF Activity and Disease Progression in Clear-Cell Renal Cell Carcinoma.Cancer research · 2026Article
- Boosting angiogenesis experimentally in ovo by biofunctionalizing collagen membranes with platelet-rich fibrin and hyaluronic acid: implications for regenerative oral surgery?International journal of implant dentistry · 2026Article
- Increase in Angiogenesis and Vascularization in Patient-Derived Endometriosis Tissue: Insights from a 3D In Vivo Model.Geburtshilfe und Frauenheilkunde · 2025Article
- High-throughput differentiation of human blood vessel organoids reveals overlapping and distinct functions of the cerebral cavernous malformation proteins.Angiogenesis · 2025Article
- Patient-derived xenografts from circulating cancer stem cells as a preclinical model for personalized pancreatic cancer research.Scientific reports · 2025Article
- Laser speckle contrast imaging with principal component and entropy analysis: a novel approach for depth-independent blood flow assessment.Frontiers of optoelectronics · 2025Article
- Current status and future trends of real-time imaging in gastric cancer surgery: A literature review.Heliyon · 2024Review
- Slow Sulfide Donor GYY4137 Increased the Sensitivity of Two Breast Cancer Cell Lines to Paclitaxel by Different Mechanisms.Biomolecules · 2024Article
- Ultra high frequency ultrasound enables real-time visualization of blood supply from chorioallantoic membrane to human autosomal dominant polycystic kidney tissue.Scientific reports · 2024Article
- Vascularized organoid-on-a-chip: design, imaging, and analysis.Angiogenesis · 2024Review
- Multi-parametric investigations on the effects of vascular disrupting agents based on a platform of chorioallantoic membrane of chick embryos.Quantitative imaging in medicine and surgery · 2024Article
- A Comprehensive Look at In Vitro Angiogenesis Image Analysis Software.International journal of molecular sciences · 2023Review
- Chorioallantoic Membrane Assay at the Cross-Roads of Adipose-Tissue-Derived Stem Cell Research.Cells · 2023Review
- Opposing MMP-9 Expression in Mesenchymal Stromal Cells and Head and Neck Tumor Cells after Direct 2D and 3D Co-Culture.International journal of molecular sciences · 2023Article
- The CAM Model-Q&A with Experts.Cancers · 2022Review
- Laser speckle contrast imaging to assess microcirculation.Cardiology journal · 2022Article
- Exploration of Chick Embryo and Chorioallantoic Membrane on Imaging Navigated Platforms for Anticancer Pharmaceutical Evaluations.Technology in cancer research & treatmentReview
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: angiogenesis plays an important role in the growth and metastasis of tumors. We established the CAM assay application, an image analysis software of the IKOSA platform by KML Vision, for the quantification of blood vessels with the in ovo chorioallantoic membrane (CAM) model. We added this proprietary deep learning algorithm to the already established laser speckle contrast imaging (LSCI). (2) Methods: angiosarcoma cell line tumors were grafted onto the CAM. Angiogenesis was measured at the beginning and at the end of tumor growth with both measurement methods. The CAM assay application was trained to enable the recognition of in ovo CAM vessels. Histological stains of the tissue were performed and gluconate, an anti-angiogenic substance, was applied to the tumors. (3) Results: the angiosarcoma cells formed tumors on the CAM that appeared to stay vital and proliferated. An increase in perfusion was observed using both methods. The CAM assay application was successfully established in the in ovo CAM model and anti-angiogenic effects of gluconate were observed. (4) Conclusions: the CAM assay application appears to be a useful method for the quantification of angiogenesis in the CAM model and gluconate could be a potential treatment of angiosarcomas. Both aspects should be evaluated in further research.
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.