Morphometric computer-assisted image analysis of oral epithelial cells in normal epithelium and leukoplakia

Ragavendra, T Raju; Rammanohar, M.; Kasetty, Sowmya

doi:10.1111/j.1600-0714.2009.00860.x

Cited by 7 publications

(2 citation statements)

References 12 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our study, N/C ratio and NVD were increased in dysplasia group compared with those in control group, and it increased gradually with increased grades of dysplasia. This was in accordance with the results of a study by White et al [ 21 ] in leukoplakia with dysplasia; Raju Ragavendra et al [ 20 ] and Truelson et al [ 14 ] stated that nuclear DNA content and nuclear area were better indicators for the biologic aggressiveness of cancer in laryngeal cancers. [ 6 ] Ramaesh et al [ 12 13 ] used cytomorphometric method for the assessment of ND and cell diameter (CD) in normal oral mucosa, dysplastic lesions, and SCCs.…”

Section: Discussionsupporting

confidence: 91%

“…These findings correlate with our observation of increase in cellular area in the spinous cell layer compared to superficial cells. [ 17 19 , 20 ] Previous studies found that tissues undergoing malignant transformation typically showed a reduction in cellular area before showing reduction in nuclear area, using semiautomatic image analysis techniques. [ 6 17 ] Shabana et al [ 5 ] studied the shape and size of the cells in basal cell layer of the oral epithelium, and they found a progressive increase in the dimensions of nuclei from normal mucosa through traumatic keratosis, lichen planus, leukoplakia, and risk group to carcinoma, with considerable variations.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Morphometric analysis of suprabasal cell layer in oral epithelial dysplasia: A computer-assisted microscopic study

et al. 2020

View full text Add to dashboard Cite

A BSTRACT Background: Oral leukoplakia is the most common precancerous lesion. Various grading systems based on histological findings have been proposed for dysplasia. Recently, computer-assisted morphometric analysis has been established to reduce the interobserver and intraobserver variability during the histological grading of epithelial dysplasia. This study was undertaken to establish the morphometric changes in the suprabasal cell layer of different grades of oral epithelial dysplasia. Materials and Methods: Forty paraffin-embedded tissue sections (10 normal mucosa, 10 mild dysplasia, 10 moderate dysplasia, and 10 severe dysplasia cases) were stained using hematoxylin and eosin stain, and analyzed for cellular and nuclear morphometry using binocular microscope. Results: Our results showed that values of nuclear area, nuclear perimeter, nuclear volume density, and nuclear/cytoplasmic (N/C) ratio were increased gradually in dysplasia compared to control groups and the values were statistically significant ( P = 0.001). Nuclear diameter and cellular area were increased in dysplasia when compared to control group ( P = 0.001). Mild and moderate dysplasia showed decreased value of nuclear form factor compared to control group, whereas severe dysplasia showed highest value. A fair correlation was found when comparing histological grading and grouping based on nuclear area, nuclear perimeter, N/C ratio, and nuclear volume density. Conclusion: Nuclear features reflect cell behavior, and its morphometric analysis can be considered as a reliable tool for differentiating various grades of epithelial dysplasia.

show abstract

Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Morphometric analysis of suprabasal cell layer in oral epithelial dysplasia: A computer-assisted microscopic study

et al. 2020

View full text Add to dashboard Cite

show abstract

Disordered arrangements of basal cells as a prognostic factor for oral epithelial dysplasia: a morphometric study of 96 cases

Okamura

Izumo

Yagishita

et al. 2016

Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology

View full text Add to dashboard Cite

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

View full text Add to dashboard Cite

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.

show abstract

Morphometric computer-assisted image analysis of oral epithelial cells in normal epithelium and leukoplakia

Abstract: Normal oral epithelium showed site-wise difference in cell and nuclear measurements. Nuclear parameters showed a statistically significant change than cellular parameters in dysplasia. These changes were expressed in the earliest stage of transformation to dysplasia.

Cited by 7 publications

References 12 publications

Morphometric analysis of suprabasal cell layer in oral epithelial dysplasia: A computer-assisted microscopic study

Morphometric analysis of suprabasal cell layer in oral epithelial dysplasia: A computer-assisted microscopic study

Disordered arrangements of basal cells as a prognostic factor for oral epithelial dysplasia: a morphometric study of 96 cases

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

Contact Info

Product

Resources

About