Author(s): Vollmer RT, Vollmer RT
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Abstract In this study, a mathematical and probabilistic model is used to study the probability that a lung tumor is a primary vs a metastasis from cancer of the breast. The model uses information from immunohistochemical stains for thyroid transcription factor (TTF)-1, mammaglobin, p63, and estrogen receptor and epidemiologic data about primary lung and metastatic breast cancers in women. The results demonstrate that these 4 stains can yield nearly certain diagnoses in approximately 80\% of tumors falling into the pool of this differential diagnosis. Nevertheless, uncertainty of diagnosis remains for the 19\% of tumors in the pool that are negative for TTF-1, mammaglobin, and p63.
This article was published in Am J Clin Pathol
and referenced in Journal of Lung Cancer Diagnosis & Treatment