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Predicting the risk of lymph node involvement using the pre-treatment prostate specific antigen and gleason score in men with clinically localized prostate cancer

โœ Scribed by Mack Roach III; Carol Marquez; Hae-Sook Yuo; Perinchery Narayan; Lorie Coleman; Unyime O. Nseyo; Zarrin Navvab; Peter R. Carroll

Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
671 KB
Volume
28
Category
Article
ISSN
0360-3016

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The use of artificial intelligence technology to predict lymph node spread in men with clinically localized prostate carcinoma
โœ E. David Crawford; Joseph T. Batuello; Peter Snow; Eduard J. Gamito; David G. Mc ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 79 KB ๐Ÿ‘ 2 views

## BACKGROUND. The current study assesses artificial intelligence methods to identify prostate carcinoma patients at low risk for lymph node spread. If patients can be assigned accurately to a low risk group, unnecessary lymph node dissections can be avoided, thereby reducing morbidity and costs.