ArticlePloS one2014
Fractal analysis of cervical intraepithelial neoplasia.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic performance of PAX1 methylation as a biomarker for cervical lesions: a clinical study and meta-analysis.Annals of medicine · 2025Pooled it
- Article
- The Morphology of Brain Neurons: The Box-Counting Method in the Quantitative Analysis of 2D Images.Advances in neurobiology · 2024Article
- Box-Counting Fractal Analysis: A Primer for the Clinician.Advances in neurobiology · 2024Article
- Morphology and Fractal-Based Classifications of Neurons and Microglia in Two and Three Dimensions.Advances in neurobiology · 2024Review
- On Multiscaling of Parkinsonian Rest Tremor Signals and Their Classification.Advances in neurobiology · 2024Article
- Methylation-mediated silencing ofFrontiers in oncology · 2023Article
- Healing pattern of the cervical stroma following cold coagulation treatment for cervical intraepithelial neoplasia: A case report.Oncology letters · 2022Article
- The promising role of PAX1 (aliases: HUP48, OFC2) gene methylation in cancer screening.Molecular genetics & genomic medicine · 2019Review
- Assessing methylation status of PAX1 in cervical scrapings, as a novel diagnostic and predictive biomarker, was closely related to screen cervical cancer.International journal of clinical and experimental pathology · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCervical intraepithelial neoplasias (CIN) represent precursor lesions of cervical cancer. These neoplastic lesions are traditionally subdivided into three categories CIN 1, CIN 2, and CIN 3, using microscopical criteria. The relation between grades of cervical intraepithelial neoplasia (CIN) and its fractal dimension was investigated to establish a basis for an objective diagnosis using the method proposed.
methodsClassical evaluation of the tissue samples was performed by an experienced gynecologic pathologist. Tissue samples were scanned and saved as digital images using Aperio scanner and software. After image segmentation the box counting method as well as multifractal methods were applied to determine the relation between fractal dimension and grades of CIN. A total of 46 images were used to compare the pathologist's neoplasia grades with the predicted groups obtained by fractal methods.
resultsSignificant or highly significant differences between all grades of CIN could be found. The confusion matrix, comparing between pathologist's grading and predicted group by fractal methods showed a match of 87.1%. Multifractal spectra were able to differentiate between normal epithelium and low grade as well as high grade neoplasia.
conclusionFractal dimension can be considered to be an objective parameter to grade cervical intraepithelial neoplasia.
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