Prognostic significance of the Ackerman classification and other histopathological characteristics in breast cancer.
- 1 July 1988
- Vol. 96 (7-12), 979-990
- https://doi.org/10.1111/j.1699-0463.1988.tb00971.x
Abstract
Survival rates during a follow-up period of more than seven years were analyzed in 1,349 women with breast cancer in relation to the histo-pathological classification of female breast cancer proposed by Ackerman and to other commonly used histo-pathological criteria, including the axillary node status. The information was collected prospectively during a case-control study. Major emphasis was placed on multivariate evaluation. In analyses based on the histo-pathological findings in the mastectomy specimen alone, the Ackerman grouping was found to be of prognostic value, but apart from nuclear polymorphism the other recorded characteristics (histo-pathological type, histological grading, lymphocyte infiltration, and sinus histiocytosis) did not give any prognostic information. When the axillary node status was included in the multivariate models, the presence of axillary metastases correlated well with the prognosis and the Ackerman classification provided no significant additional information. The results indicated that in cases where the histopathological axillary status is known, little additional prognostic information can be gained from traditional histo-pathological evaluation over and above this status. However, the Ackerman classification and the degree of nuclear polymorphism separate distinct prognostic groups with the same degree of different in observed survival rates as one discriminated by the axillary node status.Keywords
This publication has 23 references indexed in Scilit:
- Prognostic factors in breast cancer and the development of a prognostic indexBritish Journal of Surgery, 1986
- Ten-Year Results of a Randomized Clinical Trial Comparing Radical Mastectomy and Total Mastectomy with or without RadiationNew England Journal of Medicine, 1985
- A computer program package for relative survival analysisComputer Programs in Biomedicine, 1985
- Which patients are cured of breast cancer?BMJ, 1984
- Regression Models and Non-Proportional Hazards in the Analysis of Breast Cancer SurvivalJournal of the Royal Statistical Society Series C: Applied Statistics, 1984
- Prognosis in Stage II “T1N1M0”Breast CancerAnnals of Surgery, 1981
- Predictors of Recurrence in Stage I (T1N0M0) Breast CarcinomaAnnals of Surgery, 1981
- Long-term survival of patients with breast cancer: a study of the curability of the disease.BMJ, 1979