A Study Of Morphometrical Differences Between Normal Mucosa, Dysplasia , Squamous Cell Carcinoma &amp; Pseudoepitheliomatous Hyperplasia Of The Oral Mucosa

Upadhyaya, Neha

doi:10.9790/3008-0546670

Cited by 2 publications

(2 citation statements)

References 11 publications

(3 reference statements)

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“…The various morphometric parameters studied for epithelial tumors are nuclear area (NA), nuclear perimeter (NP), nuclear shape factor, smallest and longest axes, nuclear size along with nuclear-cytoplasmic ratio (N:C) and nucleolar-nuclear ratio. [ 3 4 ]…”

Section: Introductionmentioning

confidence: 99%

Computer-assisted morphometric image analysis of cells of normal oral epithelium and oral squamous cell carcinoma

Kumar

Chatterjee

Purkait

et al. 2017

J Oral Maxillofac Pathol

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Context:Oral squamous cell carcinoma (OSCC) is a malignant neoplasm of epithelial tissue origin. OSCC is traditionally graded into well, moderate and poorly differentiated. The assessment of cellular and nuclear features is very important in the histological grading of OSCC.Aims:To establish morphometric study as an important prognostic indicator of OSCC.Settings and Design:The present study is undertaken for computer-assisted morphometric evaluation of the following parameters: changes in cell perimeter, nuclear perimeter (NP), cell area (CA), nuclear area (NA) and nuclear-cytoplasmic ratio (N:C) in twenty cases of OSCC and ten cases of normal oral mucosa.Subjects and Methods:The hematoxylin- and eosin-stained sections were observed under microscope for dysplastic features. For morphometric analysis, images were captured with a 2MP camera attached to a NLCD 307 microscope (Lawrence and Mayo India Pvt., Ltd.,) with a ×40 objective used for morphometric analysis. The images were classified, transferred and stored in the computer for image analysis.Statistical Analysis Used:One-way analysis of variance is used for comparing the parameter for multiple groups followed by Mann-Whitney U-test for pair-wise comparisons.Results:Highly significant difference was seen between cases and controls with respect to CA, NP and NA. Highly significant difference is seen in N:C ratio between the means of cases and control groups.Conclusions:Techniques of image analysis offer an opportunity to quantify the nuclear and cell changes associated with malignancy and provide an objective basis for grading dysplasia and tumors.

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Section: Introductionmentioning

confidence: 99%

Computer-assisted morphometric image analysis of cells of normal oral epithelium and oral squamous cell carcinoma

Kumar

Chatterjee

Purkait

et al. 2017

J Oral Maxillofac Pathol

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“…Studies showed that the shape of the object could be used to measure its complexity and like any other hierarchical construct, biological entities were thought to adapt undefined possibilities of configurations ('forms') inside the realm of a common general framework. Shape descriptors can be reliably used as overall indicators of the macro state (Neha et al 2013). A proposed method for irregular non-euclidean objects is better described by fractal geometry and the measurable value is called the fractal dimension.…”

Section: Introductionmentioning

confidence: 99%

Fractal analysis of seahorses in Mindanao, Philippines: A tale of their own

Tabugo

Claver

2022

Biodiversitas

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Abstract. Tabugo SR, Claver PSS. 2022. Fractal analysis of seahorses in Mindanao, Philippines: A tale of their own. Biodiversitas 23: 5233-5238. Monitoring populations of species is essential for science-driven policymaking. However, monitoring can be a daunting task for threatened and vulnerable species like seahorses. They are often threatened by overfishing and habitat destruction in the marine environment. Since they are considered a flagship species, monitoring populations in Panguil and Murcielagos Bay, which served as the home of the two common seahorses in Mindanao, Philippines, is vital. Fractals naturally occur in nature and hence can be used as possible predictors. Morphometric complexity patterns were investigated in the Hippocampus kuda and Hippocampus comes via fractal geometry to delineate irregular non-euclidean objects. The difference between fractal dimension and lacunarity values was tested between species. The hypothesis states that high fractal dimensions are deviations from the equilibrium state/chaos and, thereby, can be linked to vulnerability. High mean fractal dimension (Da) based on box-counting and coefficient of variation (CV) of the lacunarity method were found in H. kuda (F) and H. comes (F). The observed variations can be attributed to morphological complexity as they have adapted to varied microhabitats. Herewith, fractals can be a fast, easy, convenient, and non-invasive way of monitoring species. The results of the study can support conservation protection measures for the two species.

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A Study Of Morphometrical Differences Between Normal Mucosa, Dysplasia , Squamous Cell Carcinoma & Pseudoepitheliomatous Hyperplasia Of The Oral Mucosa

Cited by 2 publications

References 11 publications

Computer-assisted morphometric image analysis of cells of normal oral epithelium and oral squamous cell carcinoma

Computer-assisted morphometric image analysis of cells of normal oral epithelium and oral squamous cell carcinoma

Fractal analysis of seahorses in Mindanao, Philippines: A tale of their own

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