ArticleBiomedical optics express2020
Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Magnetic Resonance Imaging Features in Diagnosis of Breast Cancer and Evaluation of Effect of Epidermal Growth Factor Receptor-Targeted Therapy.BioMed research international · 2022Trial
- Review
- Nonlinear Imaging Allows to Characterize Granulomas and Fibrosis in Mice Tissue From Experimental Schistosomiasis.Journal of biophotonics · 2026Article
- The application of artificial intelligence in veterinary oncology: a scoping review.BMC veterinary research · 2025Article
- Tumor-Associated Macrophages and Collagen Remodeling in Mammary Carcinomas: A Comparative Analysis in Dogs and Humans.International journal of molecular sciences · 2025Article
- Comparative evaluation of collagen modifications in breast cancer in human and canine carcinomas.Scientific reports · 2024Article
- The diagnostic value of selected immune parameters in peripheral blood of dogs with malignant mammary tumours - a preliminary study.Journal of veterinary research · 2024Article
- Collagen modifications predictive of lymph node metastasis in dogs with carcinoma in mixed tumours.Frontiers in veterinary science · 2024Article
- Canine mammary cancer tumour behaviour and patient survival time are associated with collagen fibre characteristics.Scientific reports · 2021Article
- Navigating the Collagen Jungle: The Biomedical Potential of Fiber Organization in Cancer.Bioengineering (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present nonlinear microscopy imaging results and analysis from canine mammary cancer biopsies. Second harmonic generation imaging allows information of the collagen structure in the extracellular matrix that together with the fluorescence of the cell regions of the biopsies form a base for comprehensive image analysis. We demonstrate an automated image analysis method to classify the histological type of canine mammary cancer using a range of parameters extracted from the images. The software developed for image processing and analysis allows for the extraction of the collagen fibre network and the cell regions of the images. Thus, the tissue properties are obtained after the segmentation of the image and the metrics are measured specifically for the collagen and the cell regions. A linear discriminant analysis including all the extracted metrics allowed to clearly separate between the healthy and cancerous tissue with a 91%-accuracy. Also, a 61%-accuracy was achieved for a comparison of healthy and three histological cancer subtypes studied.
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.