ReviewNeurosurgical review2008
Euclidean and fractal geometry of microvascular networks in normal and neoplastic pituitary tissue.
Review in Neurosurgical review, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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Who cites it
16 citing papers in PubMed.
- 3D fractal dimension analysis of CT imaging for microvascular invasion prediction in hepatocellular carcinoma.European radiology · 2026Article
- A Nexus of Biomolecular Complexities in Pituitary Neuroendocrine Tumors: Insights into Key Molecular Drivers.Biomedicines · 2025Review
- Study of prediction model for high-grade meningioma using fractal geometry combined with radiological features.Journal of neuro-oncology · 2025Article
- Fractals, Pattern Recognition, Memetics, and AI: A Personal Journal in the Computational Neurosurgery.Advances in neurobiology · 2024Article
- Fractal Analysis in Clinical Neurosciences: An Overview.Advances in neurobiology · 2024Review
- Computational Fractal-Based Analysis of Brain Tumor Microvascular Networks.Advances in neurobiology · 2024Article
- Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis.Neuroradiology · 2020Review
- Biomarkers for Liquid Biopsies of Pituitary Neuroendocrine Tumors.Biomedicines · 2020Review
- Biofabrication strategies for creating microvascular complexity.Biofabrication · 2019Review
- Unique fractal evaluation and therapeutic implications of mitochondrial morphology in malignant mesothelioma.Scientific reports · 2016Article
- Lung cancer-a fractal viewpoint.Nature reviews. Clinical oncology · 2015Review
- Aggressive pituitary adenomas--diagnosis and emerging treatments.Nature reviews. Endocrinology · 2014Review
- Article
- An imaging-based stochastic model for simulation of tumour vasculature.Physics in medicine and biology · 2012Article
- VEGF and CD31 association in pituitary adenomas.Endocrine pathology · 2010Article
- The role of interleukin-6 in the formation of the coronary vasculature.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2009Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In geometrical terms, tumour vascularity is an exemplary anatomical system that irregularly fills a three-dimensional Euclidean space. This physical characteristic and the highly variable shapes of the vessels lead to considerable spatial and temporal heterogeneity in the delivery of oxygen, nutrients and drugs, and the removal of metabolites. Although these biological characteristics are well known, quantitative analyses of newly formed vessels in two-dimensional histological sections still fail to view their architecture as a non-Euclidean geometrical entity, thus leading to errors in visual interpretation and discordant results from different laboratories concerning the same tumour. We here review the literature concerning microvessel density estimates (a Euclidean-based approach quantifying vascularity in normal and neoplastic pituitary tissues) and compare the results. We also discuss the limitations of Euclidean quantitative analyses of vascularity and the helpfulness of a fractal geometry-based approach as a better means of quantifying normal and neoplastic pituitary microvasculature.
Indexed as
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18327622What 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.