Histologic Disorderliness in the Arrangement of Tumor Cells as an Objective Measure of Tumor Differentiation
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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.
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.
참고문헌 (15)
- Blenkinsopp WK, "Histopathology reporting in large bowel cancer", J Clin Pathol, 34, pp.509~513 (1981)
- Thomas GD, "Observer variation in the histological grading of rectal carcinoma", J Clin Pathol, 36, pp.385~391 (1983)
- Chandler I, "Interobserver agreement in grading of colorectal cancers-findings from a nationwide web-based survey of histopathologists", Histopathology, 52, pp.494~499 (2008)
- Chowdhury N, "Interobserver variation in breast cancer grading: a statistical modeling approach", Anal Quant Cytol Histol, 28, pp.213~218 (2006)
- Meyer JS, "Breast carcinoma malignancy grading by Bloom-Richardson system vs proliferation index: reproducibility of grade and advantages of proliferation index", Mod Pathol, 18, pp.1067~1078 (2005)
- Elston CW, "Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up", Histopathology, 19, pp.403~410 (1991)
- Gleason DF, "Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging", J Urol, 111, pp.58~64 (1974)
- Fuhrman SA, "Prognostic significance of morphologic parameters in renal cell carcinoma", Am J Surg Pathol, 6, pp.655~663 (1982)
- Compton CC, "Prognostic factors in colorectal cancer. College of American Pathologists Consensus Statement 1999", Arch Pathol Lab Med, 124, pp.979~994 (2000)
- Yogesan K, "Entropy-based texture analysis of chromatin structure in advanced prostate cancer", Cytometry, 24, pp.268~276 (1996)
- Tambasco M, "Relationship between tumor grade and computed architectural complexity in breast cancer specimens", Hum Pathol, 39, pp.740~746 (2008)
- Tambasco M, "Quantifying the architectural complexity of microscopic images of histology specimens", Micron, 40, pp.486~494 (2009)
- Reif F, "Fundamentals of statistical and thermal physics", pp.94~100 (2008), McGraw-Hill
- Tien CL, "Statistical thermodynamics", pp.58~63 (1979), Hemisphere Publishing Corp
- Laurendeau NM, "Statistical thermodynamics: fundamentals and applications", pp.18~22 (2005), Cambridge University Press
