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- W1980350837 abstract "To the Editor: Nearly 20 years ago, the “Roach formulas” (RF) were derived when it was observed that the shape of the risk curves in the Partin nomogram could be described using a simple equation: LNI = 2/3 (PSA) + (GS – 6) ( 1 Roach 3rd, M. DeSilvio M. Lawton C. et al. Phase III trial comparing whole-pelvic versus prostate-only radiotherapy and neoadjuvant versus adjuvant combined androgen suppression: Radiation Therapy Oncology Group 9413. J Clin Oncol. 2003; 21: 1904-1911 Crossref PubMed Scopus (572) Google Scholar ), where LNI is lymph node involvement, PSA is prostate-specific antigen, and GS is Glasgow scale. It is straightforward, validated, and predictive of outcomes ( 2 Spevack L. Killion L.T. West Jr., J.C. et al. Predicting the patient at low risk for lymph node metastasis with localized prostate cancer: An analysis of four statistical models. Int J Radiat Oncol Biol Phys. 1996; 34: 543-547 Abstract Full Text PDF PubMed Scopus (19) Google Scholar , 3 Medica M. Giglio M. Germinale F. et al. Roach’s mathematical equations in predicting pathological stage in men with clinically localized prostate cancer. Tumori. 2001; 87: 130-133 PubMed Google Scholar ). A New Formula for Prostate Cancer Lymph Node RiskInternational Journal of Radiation Oncology, Biology, PhysicsVol. 80Issue 1PreviewThe successful treatment of prostate cancer depends on the accurate estimation of the risk of regional lymph node (LN) involvement. The Roach formula (RF) has been criticized as overestimating LN risk. A modification of the RF has been attempted by other investigators using simplified adjustment ratios: the Nguyen formula (NF). Full-Text PDF In Response to Dr. Hayes and ColleaguesInternational Journal of Radiation Oncology, Biology, PhysicsVol. 79Issue 5PreviewTo the Editor: We appreciate Hayes et al.’s interest in our work, and the opportunity to reply. Full-Text PDF" @default.
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- W1980350837 date "2011-04-01" @default.
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- W1980350837 title "Predicting the Risk of Pelvic Node Involvement in Men With Prostate Cancer in the Contemporary Era: Change You Can Believe?: In Regard to Yu, et al. (Int J Radiat Oncol Biol Phys in Press)" @default.
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- W1980350837 doi "https://doi.org/10.1016/j.ijrobp.2010.11.008" @default.
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