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Predicting clinically significant prostate cancer based on pre-operative patient profile and serum biomarkers
Previous studies have reported association of multiple preoperative factors predicting clinically significant prostate cancer with varying results. We assessed the predictive model using a combination of hormone profile, serum biomarkers, and patient characteristics in order to improve the accuracy...
Autores principales: | Faiena, Izak, Kim, Sinae, Farber, Nicholas, Kwon, Young Suk, Shinder, Brian, Patel, Neal, Salmasi, Amirali H., Jang, Thomas, Singer, Eric A., Kim, Wun-Jae, Kim, Isaac Y. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752561/ https://www.ncbi.nlm.nih.gov/pubmed/29312648 http://dx.doi.org/10.18632/oncotarget.21297 |
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