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Histologic disorderliness in the arrangement of tumor cells as an objective measure of tumor differentiation.

Suh S, Park G, Lee YS, Chong Y, Lee YS, Choi YJ - Korean J Pathol (2014)

Bottom Line: We then analyzed a total of 51 photomicrographs of normal colorectal mucosa and colorectal adenocarcinoma with varying degrees of differentiation using our formula.A one-way analysis of variance followed by post hoc pairwise comparisons using Bonferroni correction indicated that the mean disorderliness score was the lowest for the normal colorectal mucosa and increased with decreasing tumor differentiation.Disorderliness, a pathologic feature of malignant tumors that originate from highly organized structures is useful as an objective tumor grading proxy in the field of digital pathology.

View Article: PubMed Central - PubMed

Affiliation: Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, Korea.

ABSTRACT

Background: Inter-observer and intra-observer variation in histologic tumor grading are well documented. To determine whether histologic disorderliness in the arrangement of tumor cells may serve as an objective criterion for grading, we tested the hypothesis the degree of disorderliness is related to the degree of tumor differentiation on which tumor grading is primarily based.

Methods: Borrowing from the statistical thermodynamic definition of entropy, we defined a novel mathematical formula to compute the relative degree of histologic disorderliness of tumor cells. We then analyzed a total of 51 photomicrographs of normal colorectal mucosa and colorectal adenocarcinoma with varying degrees of differentiation using our formula.

Results: A one-way analysis of variance followed by post hoc pairwise comparisons using Bonferroni correction indicated that the mean disorderliness score was the lowest for the normal colorectal mucosa and increased with decreasing tumor differentiation.

Conclusions: Disorderliness, a pathologic feature of malignant tumors that originate from highly organized structures is useful as an objective tumor grading proxy in the field of digital pathology.

No MeSH data available.


Related in: MedlinePlus

Selected images of colorectal adenocarcinoma analyzed by the disorderliness score formula. The scores are presented in the lower right corners of each image. Note the overall tendency of the disorderliness score to increase with decreasing tumor differentiation.
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f2-kjpathol-48-5-339: Selected images of colorectal adenocarcinoma analyzed by the disorderliness score formula. The scores are presented in the lower right corners of each image. Note the overall tendency of the disorderliness score to increase with decreasing tumor differentiation.

Mentions: The complete list of disorderliness scores of normal colorectal mucosa and colorectal adenocarcinoma classified according to a 3-tiered grading system is presented in Table 2 along with means and standard deviations. The disorderliness scores of each group were normally distributed (p=.275, p=.961, p=.593, and p= .919 for normal colorectal mucosa and well-, moderately, and poorly differentiated colorectal adenocarcinoma, respectively) and the variances were equal across the groups (p=.904). In Fig. 2, selected images of hematoxylin and eosin stained tissue sections of the four analyzed groups are arranged with their disorderliness scores presented in the lower right corners of each image to exhibit the relationship between disorderliness scores and differentiation.


Histologic disorderliness in the arrangement of tumor cells as an objective measure of tumor differentiation.

Suh S, Park G, Lee YS, Chong Y, Lee YS, Choi YJ - Korean J Pathol (2014)

Selected images of colorectal adenocarcinoma analyzed by the disorderliness score formula. The scores are presented in the lower right corners of each image. Note the overall tendency of the disorderliness score to increase with decreasing tumor differentiation.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4215958&req=5

f2-kjpathol-48-5-339: Selected images of colorectal adenocarcinoma analyzed by the disorderliness score formula. The scores are presented in the lower right corners of each image. Note the overall tendency of the disorderliness score to increase with decreasing tumor differentiation.
Mentions: The complete list of disorderliness scores of normal colorectal mucosa and colorectal adenocarcinoma classified according to a 3-tiered grading system is presented in Table 2 along with means and standard deviations. The disorderliness scores of each group were normally distributed (p=.275, p=.961, p=.593, and p= .919 for normal colorectal mucosa and well-, moderately, and poorly differentiated colorectal adenocarcinoma, respectively) and the variances were equal across the groups (p=.904). In Fig. 2, selected images of hematoxylin and eosin stained tissue sections of the four analyzed groups are arranged with their disorderliness scores presented in the lower right corners of each image to exhibit the relationship between disorderliness scores and differentiation.

Bottom Line: We then analyzed a total of 51 photomicrographs of normal colorectal mucosa and colorectal adenocarcinoma with varying degrees of differentiation using our formula.A one-way analysis of variance followed by post hoc pairwise comparisons using Bonferroni correction indicated that the mean disorderliness score was the lowest for the normal colorectal mucosa and increased with decreasing tumor differentiation.Disorderliness, a pathologic feature of malignant tumors that originate from highly organized structures is useful as an objective tumor grading proxy in the field of digital pathology.

View Article: PubMed Central - PubMed

Affiliation: Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, Korea.

ABSTRACT

Background: Inter-observer and intra-observer variation in histologic tumor grading are well documented. To determine whether histologic disorderliness in the arrangement of tumor cells may serve as an objective criterion for grading, we tested the hypothesis the degree of disorderliness is related to the degree of tumor differentiation on which tumor grading is primarily based.

Methods: Borrowing from the statistical thermodynamic definition of entropy, we defined a novel mathematical formula to compute the relative degree of histologic disorderliness of tumor cells. We then analyzed a total of 51 photomicrographs of normal colorectal mucosa and colorectal adenocarcinoma with varying degrees of differentiation using our formula.

Results: A one-way analysis of variance followed by post hoc pairwise comparisons using Bonferroni correction indicated that the mean disorderliness score was the lowest for the normal colorectal mucosa and increased with decreasing tumor differentiation.

Conclusions: Disorderliness, a pathologic feature of malignant tumors that originate from highly organized structures is useful as an objective tumor grading proxy in the field of digital pathology.

No MeSH data available.


Related in: MedlinePlus