ArticleOncotarget2015
Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images.
Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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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
31 citing papers in PubMed, 66 citations in OpenAlex.
- Tumor Vascular Features and Colorectal Cancer-Specific Mortality.JAMA network open · 2026Article
- Article
- Cohort-Scale Spatial Autocorrelation for Tumor Prediction in Mid-Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Molecular Mechanisms of Juvenile Nasopharyngeal Angiofibroma: A Narrative Review.Current oncology (Toronto, Ont.) · 2026Review
- Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation.Breast cancer research : BCR · 2025Article
- ML-driven segmentation of microvascular features during histological examination of tissue-engineered vascular grafts.Frontiers in bioengineering and biotechnology · 2024Article
- Immunohistochemical Assessment of Microvessel Density in OSCC: Spatial Heterogeneity of Angiogenesis and Its Impact on Survival.Biomedicines · 2023Article
- Oral squamous cell carcinomas: state of the field and emerging directions.International journal of oral science · 2023Review
- Artificial Intelligence Assists in the Detection of Blood Vessels in Whole Slide Images: Practical Benefits for Oncological Pathology.Biomolecules · 2023Review
- Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging.Nature communications · 2023Article
- PAK1 overexpression promotes myxofibrosarcoma angiogenesis through STAT5B-mediatedInternational journal of biological sciences · 2023Article
- Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images.Frontiers in bioinformatics · 2023Article
- Review
- CD34 and CD105 Microvessels in Resected Bone Specimen May Implicate Wound Healing in MRONJ.International journal of environmental research and public health · 2021Article
- Article
- Inter-Metastatic Heterogeneity of Tumor Marker Expression and Microenvironment Architecture in a Preclinical Cancer Model.International journal of molecular sciences · 2021Article
- Review
- Methods to Determine and Analyze the Cellular Spatial Distribution Extracted From Multiplex Immunofluorescence Data to Understand the Tumor Microenvironment.Frontiers in molecular biosciences · 2021Review
- Review
- Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Blood vessels in solid tumors are not randomly distributed, but are clustered in angiogenic hotspots. Tumor microvessel density (MVD) within these hotspots correlates with patient survival and is widely used both in diagnostic routine and in clinical trials. Still, these hotspots are usually subjectively defined. There is no unbiased, continuous and explicit representation of tumor vessel distribution in histological whole slide images. This shortcoming distorts angiogenesis measurements and may account for ambiguous results in the literature. In the present study, we describe and evaluate a new method that eliminates this bias and makes angiogenesis quantification more objective and more efficient. Our approach involves automatic slide scanning, automatic image analysis and spatial statistical analysis. By comparing a continuous MVD function of the actual sample to random point patterns, we introduce an objective criterion for hotspot detection: An angiogenic hotspot is defined as a clustering of blood vessels that is very unlikely to occur randomly. We evaluate the proposed method in N=11 images of human colorectal carcinoma samples and compare the results to a blinded human observer. For the first time, we demonstrate the existence of statistically significant hotspots in tumor images and provide a tool to accurately detect these hotspots.
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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.