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James S. Michaelson, Melvin Silverstein, John Wyatt, Griffin Weber, Richard Moore, Elkan Halpern, Daniel B. Kopans and Kevin Hughes Predicting the survival of patients with breast carcinoma using tumor size Cancer 95

Article first published online: 31 JUL 2002 | DOI: 10.1002/cncr.10742

Although tumor size has been recognized as the strongest predictor of outcome in patients with invasive breast carcinoma, it has not been determined whether the correlation between tumor size and mortality is independent of the method of detection. In this report, the authors provide a method for translating tumor size at the time of treatment into a specific expectation of survival for patients with invasive breast carcinoma.

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