ArticleJournal of anatomy2007
Fractal dimension as a quantitator of the microvasculature of normal and adenomatous pituitary tissue.
Article in Journal of anatomy, 2007. 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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Who cites it
31 citing papers in PubMed.
- Exploring the Dynamic Interaction Between Pituitary Neuroendocrine Tumors (Pit-NETs) Cells and Their Angiogenic Microenvironment by Using the MIB1 Labeling Index, VEGF Expression and Digital Image Analysis.Current issues in molecular biology · 2025Article
- Computational Fractal-Based Analysis of Brain Tumor Microvascular Networks.Advances in neurobiology · 2024Article
- Fractals, Pattern Recognition, Memetics, and AI: A Personal Journal in the Computational Neurosurgery.Advances in neurobiology · 2024Article
- Computer Vision in Digital Neuropathology.Advances in experimental medicine and biology · 2024Review
- Computational Fractal-Based Neurosurgery.Advances in experimental medicine and biology · 2024Review
- Fractals in the Neurosciences: A Translational Geographical Approach.Advances in neurobiology · 2024Article
- Fractal nature of human gastrointestinal system: Exploring a new era.World journal of gastroenterology · 2023Review
- Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI.Medical & biological engineering & computing · 2022Article
- Association Between Retinal Microvascular Metrics Using Optical Coherence Tomography Angiography and Carotid Artery Stenosis in a Chinese Cohort.Frontiers in physiology · 2022Article
- The utility of dynamic MRI in differentiating the hormone-producing ability of pituitary adenomas.Japanese journal of radiology · 2021Article
- Visualization of incidentally imaged pituitary gland on three-dimensional arterial spin labeling of the brain.The British journal of radiology · 2021Article
- Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis.Neuroradiology · 2020Review
- Acute Treatment With Gleevec Does Not Promote Early Vascular Recovery Following Intracerebral Hemorrhage in Adult Male Rats.Frontiers in neuroscience · 2020Article
- Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis.Scientific reports · 2019Article
- Vascular amounts and dispersion of caliber-classified vessels as key parameters to quantitate 3D micro-angioarchitectures in multiple myeloma experimental tumors.Scientific reports · 2018Article
- Fractal anatomy of the hippocampal formation.Surgical and radiologic anatomy : SRA · 2018Article
- Vasculogenic Mimicry in Clinically Non-functioning Pituitary Adenomas: a Histologic Study.Pathology oncology research : POR · 2017Article
- Role of High-Resolution Dynamic Contrast-Enhanced MRI with Golden-Angle Radial Sparse Parallel Reconstruction to Identify the Normal Pituitary Gland in Patients with Macroadenomas.AJNR. American journal of neuroradiology · 2017Article
- Three-dimensional ultrastructural analyses of anterior pituitary gland expose spatial relationships between endocrine cell secretory granule localization and capillary distribution.Scientific reports · 2016Article
- Quantification of morphology of canine circumanal gland tumors: a fractal based study.European journal of histochemistry : EJH · 2016Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is well known that angiogenesis is a complex process that accompanies neoplastic growth, but pituitary tumours are less vascularized than normal pituitary glands. Several analytical methods aimed at quantifying the vascular system in two-dimensional histological sections have been proposed, with very discordant results. In this study we investigated the non-Euclidean geometrical complexity of the two-dimensional microvasculature of normal pituitary glands and pituitary adenomas by quantifying the surface fractal dimension that measures its space-filling property. We found a statistical significant difference between the mean vascular surface fractal dimension estimated in normal versus adenomatous tissues (P = 0.01), normal versus secreting adenomatous tissues (P = 0.0003), and normal versus non-secreting adenomatous tissues (P = 0.047), whereas the difference between the secreting and non-secreting adenomatous tissues was not statistically significant. This study provides the first demonstration that fractal dimension is an objective and valid quantitator of the two-dimensional geometrical complexity of the pituitary gland microvascular network in physiological and pathological states. Further studies are needed to compare the vascular surface fractal dimension estimates in different subtypes of pituitary tumours and correlate them with clinical parameters in order to evaluate whether the distribution pattern of vascular growth is related to a particular state of the pituitary gland.
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