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A mathematical model is developed to obtain prospective estimates of average tumor sizes a n d the expected proportion of positive regional lymph node cases for periodic breast cancer examination programs. Semiannual, annual, and biannual programs, with or without mammography, a r e evaluated and compared with results from the National Breast Project. Calculations indicate that a semiannual clinical-mammographic program can be expected to result in about 37% fewer positive node cases than those observed i n the National Breast Project and substantially smaller tumors. The expected reduction in positive node cases from a similar annual program is about 30%, and from a biannual program, even without mammography, about 20%. Calcnlations also indicate the important role of diligent patient self-examination i n such programs, especially for the detection of fast-growing tumors.Cancer 38:265-272, 1976. NNUAL EXAMINATION PROGRAMS FOR EARLYA breast cancer detection have been reported to yield favorable survival statistics at the Cancer Detection Center of the University of Minnesota7 and the Health Insurance Plan of Greater New York.17tZ0 Semiannual examination schedules have been suggested for earlier cancer detection in the hope that they may result in more favorable survival statistics.4 However, except tor tlie mammography program conducted by G~rshon-Cohen,~ the semiannual examination idea does not seem to have been evaluated experimentally.I n previous papers,lO,ll we developed a mathematical model that could be used to characterize any examination schedule in terms of the expected delay between the first point at which a tumor could be detected, if an examination happened to be performed at that time, and the point at which it is actually found. T h e purpose of this paper is to extend that model by using the length of the expected detection delay associated with a given periodic examination program to estimate a) tlie average tumor size of those women in the program who get breast cancer, 11) the proportion of those patients with axillary node metastases, and c) the expected "lead time" gained by early cancer detection in program patients over those reported on in the National Breast Project. T h e methodology can be used to obtain estimates of these factors for any given examination schedule. We shall use it to obtain such estimates for seniiannual, annual, and biannual programs, itssuming both physical and mammograpliic examination motlali ties.
A mathematical model is developed to obtain prospective estimates of average tumor sizes a n d the expected proportion of positive regional lymph node cases for periodic breast cancer examination programs. Semiannual, annual, and biannual programs, with or without mammography, a r e evaluated and compared with results from the National Breast Project. Calculations indicate that a semiannual clinical-mammographic program can be expected to result in about 37% fewer positive node cases than those observed i n the National Breast Project and substantially smaller tumors. The expected reduction in positive node cases from a similar annual program is about 30%, and from a biannual program, even without mammography, about 20%. Calcnlations also indicate the important role of diligent patient self-examination i n such programs, especially for the detection of fast-growing tumors.Cancer 38:265-272, 1976. NNUAL EXAMINATION PROGRAMS FOR EARLYA breast cancer detection have been reported to yield favorable survival statistics at the Cancer Detection Center of the University of Minnesota7 and the Health Insurance Plan of Greater New York.17tZ0 Semiannual examination schedules have been suggested for earlier cancer detection in the hope that they may result in more favorable survival statistics.4 However, except tor tlie mammography program conducted by G~rshon-Cohen,~ the semiannual examination idea does not seem to have been evaluated experimentally.I n previous papers,lO,ll we developed a mathematical model that could be used to characterize any examination schedule in terms of the expected delay between the first point at which a tumor could be detected, if an examination happened to be performed at that time, and the point at which it is actually found. T h e purpose of this paper is to extend that model by using the length of the expected detection delay associated with a given periodic examination program to estimate a) tlie average tumor size of those women in the program who get breast cancer, 11) the proportion of those patients with axillary node metastases, and c) the expected "lead time" gained by early cancer detection in program patients over those reported on in the National Breast Project. T h e methodology can be used to obtain estimates of these factors for any given examination schedule. We shall use it to obtain such estimates for seniiannual, annual, and biannual programs, itssuming both physical and mammograpliic examination motlali ties.
Four hundred nine consecutive breast cancer patients were studied retrospectively. Microspectrophotometric DNA measurements were performed using archival, fine-needle slide preparations upon which the primary diagnoses had been based 8 to 13 years earlier. The DNA distribution patterns of the tumor cell populations were analyzed according to various criteria and the cytochemical data were correlated to the clinical course, defined as distant recurrence-free survival. The results demonstrated a strong relationship between nuclear DNA content of the breast cancer cells and prognosis. Tumors exhibiting DNA values within the limits of normal tissues (DNA euploidy) were found to be correlated with a favorable prognosis. In contrast, tumors with increased and scattered DNA values (DNA aneuploidy) were found indicative of poor prognosis. This was found to be the case regardless whether the percentage of cells above 2.5c or 5c, DNA index/modal value, or the histogram typing according to Auer et al were utilized to discriminate low-grade from high-grade malignant cases. All of these DNA variables were also shown to be significantly correlated. With the aid of the Cox regression method, the additional prognostic value of any given variable was tested against the others. The statistical analyses showed that the histogram typing gives significant prognostic information in addition to that provided by any other variable. In conclusion, the current study demonstrates that tumor nuclear DNA content is a strong indicator of prognosis in patients suffering from invasive breast adenocarcinoma. However, the results also show that simple determination of the stemline position is not the optimal DNA measure of intrinsic tumor malignancy potential. The fraction of cells scattered outside the modal peaks of the histograms are of utmost importance for adequate cytochemical malignancy grading in breast carcinomas.
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