Image Analysis of Nuclear/Cytoplasmic Ratio in Cervical Smears To Discriminate Three Grades of Cervical Intraepithelial Neoplasia

Maeda, Marina Yoshiê Sakamoto; Loreto, Celso di; Shirata, Neuza Kasumi; Shih, Lai Wun Song; Cavaliere, Maria José; Filho, A. Longatto; Alves, Venâncio Avancini Ferreira

doi:10.1159/000332697

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…Knowledge of both quantitative and qualitative alterations in oral epithelial cells of diabetic patients is important, as such modifications can be confused with malign changes. The increase of the nuclear area points to a picture of malignancy, although both a diminished cytoplasmic/nuclear ratio and uniformity in the nuclear configuration support a benign change in the cellular pattern (18)…”

Section: Discussionmentioning

confidence: 99%

Exfoliative cytology of the oral mucosa in type II diabetic patients: morphology and cytomorphometry

Alberti

Spadella

Francischone

et al. 2003

J Oral Pathology Medicine

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Section: Discussionmentioning

confidence: 99%

Exfoliative cytology of the oral mucosa in type II diabetic patients: morphology and cytomorphometry

Alberti

Spadella

Francischone

et al. 2003

J Oral Pathology Medicine

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“…Some researchers regarded the increase in the ratio of the nuclear to cytoplasm’s size as the pre-cancerous and malignancy symptom [ 20 ] and some believe that there is a relationship between increase in the ratio of the nuclear to cytoplasm size and the cancer [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of oral mucosal epithelium in diabetic male patients by exfoliative cytology method

Seifi

Feizi

Moazzezi

et al. 2014

J Diabetes Metab Disord

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BackgroundThe goal of present study is to examine comparatively the epithelium of oral mucosa in persons with diabetes types I and II and the healthy persons by cytomorphometric method.MethodsCytology smear was prepared from oral mucosa epithelium in 24 persons with diabetes and 30 healthy persons were stained by papanicolao method. Its before, from patients were requested acquiring written. The quantitative cytomorphometric characteristics were measured in each group by motic plus 2 software. Also, the qualitative evaluation of cytology slides are performed in three groups.ResultsThere were decrease in the nuclear and cytoplasmic size, (P < 0.001) and increase in the ratio of nuclear to cytoplasm size in buccal mucosal areas (P = 0.001) and tongue (P = 0.011) of diabetic persons compared to the healthy persons. There was no significantly statistical difference in diabetic persons types I and II in buccal mucosal area (P = 0.15) and tongue (P = 0.86) in quantitative characteristics of cytomoerphometry. In nuclear and cytoplasm size, there was a significant statistical difference in persons with diabetes type I and persons of control I and persons with diabetes type II and persons of control II in buccal mucosa and the tongue (P < 0.001). Bilobed or multi-lobed nuleous, karyorrhexis and vacuolization of cytoplasm were more in diabetic persons compared to the healthy ones (P < 0.001).ConclusionDiabetes are effective in creating some quantitative and qualitative cytometric alterations in the oral mucosa but the type of diabetes doesn’t seem to be effective on these changes.

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“…Studies exploring the development of fully automated machine vision systems in pathological diagnosis are relatively uncommon. Advances have mainly been in the field of cytology, where work has focused on the analysis of cervical cytological smears20–29. Machines have now been developed which can automatically scan cervical smears, digitally analyse the identified cells, and detect quantitative nuclear abnormalities indicative of malignancy and premalignant change.…”

Section: Discussionmentioning

confidence: 99%

An automated machine vision system for the histological grading of cervical intraepithelial neoplasia (CIN)

et al. 2000

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The histological grading of cervical intraepithelial neoplasia (CIN) remains subjective, resulting in inter- and intra-observer variation and poor reproducibility in the grading of cervical lesions. This study has attempted to develop an objective grading system using automated machine vision. The architectural features of cervical squamous epithelium are quantitatively analysed using a combination of computerized digital image processing and Delaunay triangulation analysis; 230 images digitally captured from cases previously classified by a gynaecological pathologist included normal cervical squamous epithelium (n=30), koilocytosis (n=46), CIN 1 (n=52), CIN 2 (n=56), and CIN 3 (n=46). Intra- and inter-observer variation had kappa values of 0.502 and 0.415, respectively. A machine vision system was developed in KS400 macro programming language to segment and mark the centres of all nuclei within the epithelium. By object-oriented analysis of image components, the positional information of nuclei was used to construct a Delaunay triangulation mesh. Each mesh was analysed to compute triangle dimensions including the mean triangle area, the mean triangle edge length, and the number of triangles per unit area, giving an individual quantitative profile of measurements for each case. Discriminant analysis of the geometric data revealed the significant discriminatory variables from which a classification score was derived. The scoring system distinguished between normal and CIN 3 in 98.7% of cases and between koilocytosis and CIN 1 in 76.5% of cases, but only 62.3% of the CIN cases were classified into the correct group, with the CIN 2 group showing the highest rate of misclassification. Graphical plots of triangulation data demonstrated the continuum of morphological change from normal squamous epithelium to the highest grade of CIN, with overlapping of the groups originally defined by the pathologists. This study shows that automated location of nuclei in cervical biopsies using computerized image analysis is possible. Analysis of positional information enables quantitative evaluation of architectural features in CIN using Delaunay triangulation meshes, which is effective in the objective classification of CIN. This demonstrates the future potential of automated machine vision systems in diagnostic histopathology.

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Image Analysis of Nuclear/Cytoplasmic Ratio in Cervical Smears To Discriminate Three Grades of Cervical Intraepithelial Neoplasia

Cited by 9 publications

References 5 publications

Exfoliative cytology of the oral mucosa in type II diabetic patients: morphology and cytomorphometry

Exfoliative cytology of the oral mucosa in type II diabetic patients: morphology and cytomorphometry

Evaluation of oral mucosal epithelium in diabetic male patients by exfoliative cytology method

An automated machine vision system for the histological grading of cervical intraepithelial neoplasia (CIN)

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