Limits...
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

Distribution of the disorderliness scores of normal colorectal mucosa and colorectal adenocarcinoma. The horizontal dashed lines and the vertical error bars denote the mean disorderliness scores and 95% confidence intervals for the means, respectively. **p<.01, ***p<.001 by Bonferroni post hoc analysis following a one-way ANOVA.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4215958&req=5

f3-kjpathol-48-5-339: Distribution of the disorderliness scores of normal colorectal mucosa and colorectal adenocarcinoma. The horizontal dashed lines and the vertical error bars denote the mean disorderliness scores and 95% confidence intervals for the means, respectively. **p<.01, ***p<.001 by Bonferroni post hoc analysis following a one-way ANOVA.

Mentions: A one-way ANOVA determined that a significant difference was present between at least one pair of the mean disorderliness scores of the four groups (F(3, 47)=62.995, p<.001). Then, post hoc analyses using Bonferroni correction indicated that the mean disorderliness score was lowest in the normal colorectal mucosa and that a meaningful increase in the means occurred as differentiation decreased (p<.01). Error bars presented in Fig. 3 denote 95% confidence intervals for the mean disorderliness scores for graphical comparisons. Altogether, the results suggest that the disorderliness score is a characteristic parameter that can distinguish normal tissue from malignant tissue, and is a sensitive metric for identifying differences in 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)

Distribution of the disorderliness scores of normal colorectal mucosa and colorectal adenocarcinoma. The horizontal dashed lines and the vertical error bars denote the mean disorderliness scores and 95% confidence intervals for the means, respectively. **p<.01, ***p<.001 by Bonferroni post hoc analysis following a one-way ANOVA.
© Copyright Policy
Related In: Results  -  Collection

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

f3-kjpathol-48-5-339: Distribution of the disorderliness scores of normal colorectal mucosa and colorectal adenocarcinoma. The horizontal dashed lines and the vertical error bars denote the mean disorderliness scores and 95% confidence intervals for the means, respectively. **p<.01, ***p<.001 by Bonferroni post hoc analysis following a one-way ANOVA.
Mentions: A one-way ANOVA determined that a significant difference was present between at least one pair of the mean disorderliness scores of the four groups (F(3, 47)=62.995, p<.001). Then, post hoc analyses using Bonferroni correction indicated that the mean disorderliness score was lowest in the normal colorectal mucosa and that a meaningful increase in the means occurred as differentiation decreased (p<.01). Error bars presented in Fig. 3 denote 95% confidence intervals for the mean disorderliness scores for graphical comparisons. Altogether, the results suggest that the disorderliness score is a characteristic parameter that can distinguish normal tissue from malignant tissue, and is a sensitive metric for identifying differences in 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