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Automatic measurement of epithelium differentiation and classification of cervical intraneoplasia by computerized image analysis.

Jondet M, Agoli-Agbo R, Dehennin L - Diagn Pathol (2010)

Bottom Line: With the latter two ratios added to the nucleo-cytoplasmic ratio, a cervical score able to classify CIN is proposed.Our results highlight the possibility of applying a cervical score for the automatic grading of CIN lesions and thereby assisting the pathologist for improvement of grading.The automatic measure of epithelium differentiation ratio appears to be a new interesting parameter in computerized image analysis of cervical lesions.

View Article: PubMed Central - HTML - PubMed

Affiliation: Cabinet de Pathologie, 34 Rue Ducouedic, 75014 Paris, France. mjondet@free.fr

ABSTRACT

Background: The feasibility of evaluating an objective grading of cervical intraneoplasia lesions (CIN) is attempted using an automatic computerized system able to measure several valuable parameters with special reference to epithelium differentiation.

Methods: 4 groups of 10 images each were selected at random from 68 consensus images coming from 80 archival cervical biopsies, normal (n = 10), CIN 1 (n = 10), CIN 2 (n = 10), CIN 3 (n = 10). Representative images of lesions were captured from the microscopic slides and were analyzed using mathematical morphology, with special reference toVoronoï tessellation and Delaunay triangulation. Epithelium surface, nuclear and cytoplasm area, triangle edge and area, total and upper nuclear index were precisely measured in each lesion, and discriminant coefficients were calculated therewith. A dilation/erosion coefficient was automatically defined using triangle edge length and nuclear radius in order to measure the epithelium ratio of differentiation. A histogram ratio was also automatically established between total nuclei and upper nuclei on top of differentiated epithelium. With the latter two ratios added to the nucleo-cytoplasmic ratio, a cervical score able to classify CIN is proposed.

Results: There is a quasi-linear increase of mean cervical score values between normal epithelium and CIN 3: (27) for normal epithelium, (51) for CIN 1, (78) for CIN 2 and (100) for CIN 3, with significant differences (P < 0.05).

Conclusion: Our results highlight the possibility of applying a cervical score for the automatic grading of CIN lesions and thereby assisting the pathologist for improvement of grading. The automatic measure of epithelium differentiation ratio appears to be a new interesting parameter in computerized image analysis of cervical lesions.

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The image analysis process till Delaunay triangulation.
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Figure 1: The image analysis process till Delaunay triangulation.

Mentions: Once the segmentation was properly achieved, an automatic algorithm provided several measurement parameters. A Voronoi tessellation was done delimiting the zone of influence on nuclei. This procedure gave an approximation of the cytoplasmic area, considering that squamous epithelium is made of joint cells. The geodesic center of each zone of influence was then used to proceed towards a Delaunay triangulation, with subsequent retrieval of the mean edge length of the triangles. The procedure is represented on figure 1.


Automatic measurement of epithelium differentiation and classification of cervical intraneoplasia by computerized image analysis.

Jondet M, Agoli-Agbo R, Dehennin L - Diagn Pathol (2010)

The image analysis process till Delaunay triangulation.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2819044&req=5

Figure 1: The image analysis process till Delaunay triangulation.
Mentions: Once the segmentation was properly achieved, an automatic algorithm provided several measurement parameters. A Voronoi tessellation was done delimiting the zone of influence on nuclei. This procedure gave an approximation of the cytoplasmic area, considering that squamous epithelium is made of joint cells. The geodesic center of each zone of influence was then used to proceed towards a Delaunay triangulation, with subsequent retrieval of the mean edge length of the triangles. The procedure is represented on figure 1.

Bottom Line: With the latter two ratios added to the nucleo-cytoplasmic ratio, a cervical score able to classify CIN is proposed.Our results highlight the possibility of applying a cervical score for the automatic grading of CIN lesions and thereby assisting the pathologist for improvement of grading.The automatic measure of epithelium differentiation ratio appears to be a new interesting parameter in computerized image analysis of cervical lesions.

View Article: PubMed Central - HTML - PubMed

Affiliation: Cabinet de Pathologie, 34 Rue Ducouedic, 75014 Paris, France. mjondet@free.fr

ABSTRACT

Background: The feasibility of evaluating an objective grading of cervical intraneoplasia lesions (CIN) is attempted using an automatic computerized system able to measure several valuable parameters with special reference to epithelium differentiation.

Methods: 4 groups of 10 images each were selected at random from 68 consensus images coming from 80 archival cervical biopsies, normal (n = 10), CIN 1 (n = 10), CIN 2 (n = 10), CIN 3 (n = 10). Representative images of lesions were captured from the microscopic slides and were analyzed using mathematical morphology, with special reference toVoronoï tessellation and Delaunay triangulation. Epithelium surface, nuclear and cytoplasm area, triangle edge and area, total and upper nuclear index were precisely measured in each lesion, and discriminant coefficients were calculated therewith. A dilation/erosion coefficient was automatically defined using triangle edge length and nuclear radius in order to measure the epithelium ratio of differentiation. A histogram ratio was also automatically established between total nuclei and upper nuclei on top of differentiated epithelium. With the latter two ratios added to the nucleo-cytoplasmic ratio, a cervical score able to classify CIN is proposed.

Results: There is a quasi-linear increase of mean cervical score values between normal epithelium and CIN 3: (27) for normal epithelium, (51) for CIN 1, (78) for CIN 2 and (100) for CIN 3, with significant differences (P < 0.05).

Conclusion: Our results highlight the possibility of applying a cervical score for the automatic grading of CIN lesions and thereby assisting the pathologist for improvement of grading. The automatic measure of epithelium differentiation ratio appears to be a new interesting parameter in computerized image analysis of cervical lesions.

Show MeSH
Related in: MedlinePlus