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Interobserver Reproducibility of Histopathological Features in Stage II Breast Cancer. An ECOG Study

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Specialty Oncology
Date 1985 Jan 1
PMID 3978246
Citations 23
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Abstract

Eleven surgical pathologists studied microscopic sections from 45 mastectomy specimens of node positive breast cancer patients who had been entered into ECOG clinical trials. Inter-observer reproducibility for histoprognostic features was examined as a prerequisite before a subsequent evaluation of their possible clinical applicability could be undertaken. Histological type, nuclear grade, tubular formation, and lymphoid reactions were studied in the cancerous tissues. Lymph nodal responses (follicular and pulp prominence, sinus histiocytosis) were also examined in a manner that stimulated slide review in routine surgical pathology practice. Numerous two-way comparisons of the pathologists' findings resulted in low levels of agreement (usually much less than 90%). The degree of inter-observer reliability is clinically unacceptable using customary slide review analysis. New ways of examining breast cancer tissues need to be explored in the search for prognostic features which can be applied to the clinical management of breast cancer patients.

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References
1.
Weigand R, Isenberg W, Russo J, Brennan M, Rich M . Blood vessel invasion and axillary lymph node involvement as prognostic indicators for human breast cancer. Cancer. 1982; 50(5):962-9. DOI: 10.1002/1097-0142(19820901)50:5<962::aid-cncr2820500526>3.0.co;2-x. View

2.
Fisher E, Gregorio R, Fisher B, Redmond C, VELLIOS F, SOMMERS S . The pathology of invasive breast cancer. A syllabus derived from findings of the National Surgical Adjuvant Breast Project (protocol no. 4). Cancer. 1975; 36(1):1-85. DOI: 10.1002/1097-0142(197507)36:1<1::aid-cncr2820360102>3.0.co;2-4. View

3.
Black M . Human breast cancer. A model for cancer immunology. Isr J Med Sci. 1973; 9(3):284-99. View

4.
HUTTER R . The interpretive art/science of pathology. CA Cancer J Clin. 1978; 28(3):141-5. DOI: 10.3322/canjclin.28.3.141. View

5.
Stanley K, Matthews M . Analysis of a pathology review of patients with lung tumors. J Natl Cancer Inst. 1981; 66(6):989-92. DOI: 10.1093/jnci/66.6.989. View