Mammographic assessment of human breast cancer growth and duration.
作者信息
Spratt J A, von Fournier D, Spratt J S, Weber E E
机构信息
Department of Surgery, Medical College of Virginia, Virginia Commonwealth University, Richmond.
出版信息
Cancer. 1993 Mar 15;71(6):2020-6. doi: 10.1002/1097-0142(19930315)71:6<2020::aid-cncr2820710616>3.0.co;2-#.
BACKGROUND
Accumulating data from numerous sources have confirmed that breast cancers have highly variable rates of growth. Contemporary thought supports that collectively the gross rates should decelerate with increasing tumor mass.
METHODS
Using composite data derived from mammographically measured growth of breast cancers observed at the Universities of Heidelberg and Louisville, the growth curve providing the best fit to the observed data, and the variance occurring around this curve has been calculated.
RESULTS
A generalized logistic equation provided the best fit, with a natural variance ranging from extremely rapidly growing to slowly growing cancer. These data do not cover the entire range of growth rates because cancers appearing acutely between mammograms were observed only once, and some breast cancers never grew.
CONCLUSIONS
The highly variable decelerating growth rates of breast cancers are better but incompletely defined, and these rates are of value in considering screening strategies and prognosis.
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